Guangyun Deng, Hui-Chung Che and Yingwu Peng
Correspondence: Hui-Chung Che, drcharlie918@yeah.net
Freed Technologies, Ltd. and Shenzhen GongBiao Intellectual Property Judicial Appraisal Center, Shenzhen, Guangdong, China.
pdf (632.1 Kb) | doi: https://doi.org/10.47260/bae/1127
19,082 China utility model patents were retrieved from invalidation reexaminations decisions. A thorough analysis using ANOVA was conducted across nine technology areas for discussing the variances between weak utility models, in any of which all claims were invalid through the reexaminations, and strong utility models, in any of which at least one claim was remaining valid. Four high value indicators for classifying utility models were found, including description word count, examination duration, figure count and claim count, to respectively show significance in five technology areas; wherein the strong patents showed significantly higher means of indicators in every technology areas of significance. Two fair value indicators for classification were found, including IPC count and abstract word count, to respectively show significance in three technology areas. Two low value indicators for classification were found, including inventor count and applicant count, showing significance in two or less technology areas. Technology distinction was shown. The overall technology and technology G (physics) were respectively provided with the most number of five valuable indicators, while technology C (chemistry and metallurgy) and D (textiles; paper) were respectively provided with the least number of three valuable indicators. The technologies provided with more valuable indicators were more applicable for classifying strong/weak utility models. The strong utility models were shown to be provided with more claim terms, more figures, richer description content and longer examination duration. The criteria for classification was therefore obtained.
Patent, ANOVA, Utility Model, Reexamination, Invalidation.
Allison, J.R., Lemley, M.A., Moore, K.A. and Trunkey, R.D. (2004). Valuable patents. The Georgetown Law Journal, 92, p. 435.
Boeing, P. and Mueller, E. (2019). Measuring China's patent quality: Development and validation of ISR indices. China Economic Review, 57, 101331. https://doi.org/10.1016/J.CHIECO.2019.101331
Chen, C.Y., Chu, C.L., Che, H.C., Tsai, H.W. and Bai, B. (2022). Using Patent Drawings to Differentiate Stock Return Rate of China Listed Companies. A Study on China Patent Species of Invention Grant, Advances in Management & Applied Economics, 12(3), pp.71-106. https://doi.org/10.47260/amae/1234
Chen, C.Y., Chu, C.L., Che, H.C. and Tsai, H.W. (2022). Using Patent Drawings to Differentiate Stock Return Rate of China Listed Companies. A Study on China Patent Species of utility model. Advances in Management & Applied Economics, 12(4), pp.1-33. https://doi.org/10.47260/amae/1241
Dang, J. and Motohashi, K. (2015). Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality. China Economic Review, 35(Sep), pp.137-155. https://doi.org/10.1016/j.chieco.2015.03.012
Galasso, A. and Schankerman, M.A. (2015). Patent Rights, Innovation and Firm Exit. Economics, Law, December, 168347832. https://doi.org/10.1111/1756-2171.12219
Han, X., Zhu, D., Lei, M. and Daim, T. U. (2021). R&D trend analysis based on patent mining: An integrated use of patent applications and invalidation data. Technological Forecasting and Social Change, 167, June, 120691. https://doi.org/10.1016/j.techfore.2021.120691
Li, X. (2012). Behind the recent surge of Chinese patenting: an institutional view. Research Policy, 41(1), pp.236-249. https://doi.org/10.1016/j.respol.2011.07.003
Reitzi, M. (2004). Improving Patent valuations for management purposes – validating new indicators by analyzing application rationales. Research Policy, 33(6-7), pp.939-957. https://doi.org/10.1016/j.respol.2004.02.004.
Tsai, H.W., Che, H.C. and Bai, B. (2021a, September). Exploring Technology Variety Effect on Stock Return Rate in China Stock Market. Proceedings of the 2021 7th International Conference on Industrial and Business Engineering, 19-206, Macao, China. https://doi.org/10.1145/3494583.3494621
Tsai, H.W., Che, H.C. and Bai, B. (2021b). How Does Patent Examination Indicate Stock Performance? An Empirical Study of China Stock Market and Patents. Internal Journal of Economics and Research, 12(i5), pp.01-29 (so).
Tsai, H.W., Che, H.C. and Bai, B. (2022). Longer Patent Life Representing Higher Value? A Study on China Stock Market and China Patents. Bulletin of Applied Economics, 9(1), pp.115-136. https://doi.org/10.47260/bae/918
Tsai, H.W. and Che, H.C. (2022). Industry Difference on Patent Drawing’s Capability for Differentiating Stock Rates of Return of Chinese Listed Companies in Non-Manufacturing Industry Sectors -- An Explore into Invention Publication Patents and Utility Model Grant Patents. Bulletin of Applied Economics, 10(1), pp.21-67. https://doi.org/10.47260/bae/1012
Zeebroeck, N.V. (2007). The puzzle of patent value indicators. Economics of Innovation and New Technology, 20(1).
Chih-Hsiung Chang
Correspondence: Chih-Hsiung Chang, simon5289@gmail.com
Department of Finance, I-Shou University.
pdf (632.1 Kb) | doi: https://doi.org/10.47260/bae/1126
The purpose of the article was to explore the impact of the cash cards on Taiwan’s dual-card crisis under the information asymmetry. Accordingly, the article was based on the quality analysis primarily combined with the method of the document analysis and constructed the information asymmetry model ,including the two criteria of the adverse selections and the moral hazards. The results of the article showed that the impact of the cash cards on Taiwan’s dual-card crisis was no less than that of the credit cards even if the issuing scale of the cash cards was much smaller . The findings revealed the significant management implication for the financial authorities that the cash cards shouldn’t be ignored if the dual-card crisis needed to be solved.
Cash card, Information asymmetry, Adverse selections, Moral hazards, Dual-card crisis.
Abdullah, Z.T. & Ibrahim, M.A. (2024). The Effect of the Adoption of International Financial Reporting Standards (IFRS) on the Asymmetry of Accounting Information. Journal of Economics and Administrative Sciences, 30(142), 592-604. https://doi.org/10.33095/ma5c5s40
Agarwal, S., Hadzic, M., Song, C.C. & Yildirim, Y. (2023). Liquidity Constraints, Consumption, and Debt Repayment: Evidence from Macroprudential Policy in Turkey. Review of Financial Studies, 36(10). https://doi.org/10.1093/rfs/hhad024
Alam, S.S., Rahim, R.A., HAQ, R. & Khan, A.R. (2014). What Influence Credit Card Debts In Young Consumers In Malaysia. Journal of Public Administration, Finance and Law, 6(6), 106-116.
Andrews, T.M., Delton, A.W. & Kline, R. (2022). Anticipating moral hazard undermines climate mitigation in an experimental geoengineering game. Ecological Economics, 196, 107421. https://doi.org/10.1016/j.ecolecon.2022.107421
Aydin, A.E.(2021). Psychological and demographic factors influencing responsible credit card debt payment. Journal of Financial Services Marketing, 27(3), 1-10. https://doi.org/10.1057/s41264-021-00094-0
Bar-Isaac, H., Jewitt, L. & Leaver, C. (2021). Adverse selection, efficiency and the structure of information. Economic Theory, 72(1). https://doi.org/10.1007/s00199-020-01300-1
Bosch-Rosa, C., Gietl, D. & Heinemann, F. (2024). Risk Taking Under Limited Liability and Moral Hazard: Quantifying the Role of Motivated Beliefs. Management Science. https://doi.org/10.1287/mnsc.2021.03947
Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27-40. https://doi.org/10.3316/QRJ0902027
Brady, G.L., Kakkar, H. & Sivanathan, N. (2024). Perilous and Unaccountable: The Positive Relationship Between Dominance and Moral Hazard Behaviors. Journal of Personality and Social Psychology, 127(2). https://doi.org/10.1037/pspi0000448
Brown, S., Veld, C. & Veld-Merkoulova, Y. (2018). Credit Cards: Transactional Convenience or Debt-Trap?: Credit Cards. International Review of Finance, 20(2). https://doi.org/10.1111/irfi.12228
Caramp, N. (2024). Sowing the Seeds of Financial Crises: Endogenous Asset Creation and Adverse Selection. Review of Economic Studies. https://doi.org/10.1093/restud/rdae092
Chandra, A. (2021). Key Methods Used in Qualitative Document Analysis. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3996213
Chen, F.H., Jiang, G.H. & Gu, M.G. (2024). Financial knowledge and responsible credit card behavior: exploring mediators and moderators. International Journal of Bank Marketing, 42(1). https://doi.org/10.1108/IJBM-07-2023-0404
Chen, Z., Feng, R., Wei, L. & Zhao, J. (2023). Cost‐effectiveness, fairness and adverse selection in mutual aid. European Financial Management, 30(3). https://doi.org/10.1111/eufm.12450
Claveria-Mayol, M. (2024). Moral Hazard with Network Effects. arXiv:2406.11660. https://doi.org/10.48550/arXiv.2406.11660
Cowden, B.J., Bendickson, J.S., Bungcayao, J. & Womack, S. (2020). Unicorns and agency theory: Agreeable moral hazard? Journal of Small Business Strategy, 30 (2), 17-25.
Dey, S.K., Bose, S., Luo, L. & Shams, S. (2024). Impact of Corporate Climate Change Performance on Information Asymmetry: International Evidence. Journal of International Accounting Research, 1-33. https://doi.org/10.2308/JIAR-2022-057
Ekici, T. & Dunn, L. (2010). Credit Card Debt and Consumption: Evidence from Household-Level Data. Applied Economics, 42(4), 455-462. https://doi.org/10.1080/00036840801964526
Eze,U.C., Beng, T.C. & Siang, J.T.H. (2012). Credit card debt among young Malaysians: A conceptual framework. https://doi.org/10.1109/ICIMTR.2012.6236466
Fadhillah, N. & Febrianto, R. (2024). The Relationship of Company Life Cycle to Financial Statement Comparability Moderated by Information Asymmetry .Jurnal Informasi Perpajakan Akuntansi Dan Keuangan Publik, 19(2), 191-210. https://doi.org/10.25105/jipak.v19i2.20113
Foley-Fisher, N., Gorton, G. & Verani, S. (2024). Adverse Selection Dynamics in Privately Produced Safe Debt Markets. American Economic Journal: Macroeconomics, 16(1), 441-468. https://doi.org/10.1257/mac.20210383
Gautam, R., Gautam, R.K., Kumar, S., Ranjan, P. & Gupta, M. (2024). Study Of Credit Card Usage By Businessman In India. Journal of Emerging Technologies and Innovative Research, 11(4):440-453.
George, E.E. & Leszczyszyn, N. (2021). Overconfidence and the Credit Card Debt Puzzle. Journal of Financial Counseling and Planning. https://doi.org/10.1891/JFCP-20-00004
Gopinath, K. & Kannappan, S. (2024). Satisfaction with Credit Card use on Decision Making to Select Redempt and Awareness of Credit Card Frauds. Journal of Social Welfare and Management, 15(3), 139-143. https://doi.org/10.21088/jswm.0975.0231.15323.5
Helgaker, E., Oust, A. & Pollestad, A.J. (2022). Adverse selection in iBuyer business models-don’t buy lemons! Zeitschrift für Immobilienökonomie, 9(3). https://doi.org/10.1365/s41056-022-00065-z
Huang, C & Kuo, B. (2014). The Impact of Information Asymmetry and Client Credit on Lending Performance-Taiwan’s Evidence. Asian Journal of Finance & Accounting, 6(1),175. https://doi.org/10.5296/ajfa.v6i1.5212
Ikhsan, R.B., Fernando, Y. & Gui, A. (2024). The power of online reviews: Exploring information asymmetry and its impact on green product purchasing behavior. International IJC, 48(3). https://doi.org/10.1111/ijcs.13050
Jebari, J., Táíwò, O.O., Andrews, T.M., Aquila, V., Bechage, B., Belaia, M., Clifford, M., Fuhrman, J., Keller, DDP., Mach, K.J., Morrow, D.R., Raimi, K.T., Visioni, D., Nicholson, D. & Trisos, C.H. (2021). From moral hazard to risk-response feedback. Climate Risk Management, 33, 100324. https://doi.org/10.1016/j.crm.2021.100324
Khan, H., PH, R.S. & Hayat, M. (2024). Rethinking Credit Cards, Transferring Debt Dynamics, and Revolutionizing Interest Impact in Contemporary Society. International Journal of Economics Business and Management Studies. https://doi.org/10.36713/epra16563
Kulkarni, S., Cristofaro, M. & Ramamoorthy, N. (2024). Evolutionary sensemaking: a managerial metacognitive dynamic capability to reduce information asymmetry. Management Decision, 62(13), 201-222. https://doi.org/10.1108/MD-10-2023-1858
Lean, C. (2024). Navigating the ‘Moral Hazard’ Argument in Synthetic Biology’s Application. Synthetic Biology, 9(1). https://doi.org/10.1093/synbio/ysae008
Lee, J.M. and Lee, Y.G. (2021). Multidimensional credit attitude and credit card debt behavior in the United States. Review of Behavioral Finance, 14(2), 183-196. https://doi.org/10.1108/RBF-09-2020-0239
Le Van N.C. (2024). Method of Document Analysis. Journal of Medicine and Pharmacy. https://www.doi.org/10.34071/jmp.2014.4_5.35
Lichtig, A. & Weksler, R. (2022). Endogenous Lemon Markets: Risky Choices and Adverse Selection. Journal of the European Economic Association, 21(5). https://doi.org/10.1093/jeea/jvac041
Li, C. & Qiu, Z. (2020). Optimal Contracts for Agents with Adverse Selection. Discrete Dynamics in Nature and Society, (4), 1-17. https://doi.org/10.1155/2020/9317019
Liu, Z.H., Tang, H.Q. & Zhang, C.S. (2023). Corporate governance, moral hazard, and financialization. International Review of Economics & Finance, 88, 318-331. https://doi.org/10.1016/j.iref.2023.06.042
Lou, F. (2024). Moral Hazard Analysis of Third Party Sewage Treatment. Journal of Innovation and Development, 6(3), 35-39. https://doi.org/10.54097/crmy5t56
Ma, B. & Jian, K. (2024). Design and study of hybrid BI insurance contracts with interruption compensation, reward, and penalty under adverse selection. Managerial and Decision Economics. https://doi.org/10.1002/mde.4281
Mahamood, N.M., MacGregor, B., Schulz, R., Majid, R.A. & Rodi, W.N. (2023). Social Housing Allocation in Scotland: the Adverse selection Issues. Planning Malaysia, 21. https://doi.org/10.21837/pm.v21i26.1269
Majamaa, K. & Lehtinen, A.R. (2022). An Analysis of Finnish Debtors Who Defaulted in 2014–2016 Because of Unsecured Credit Products. Journal of Consumer Policy, 45(2–3). https://doi.org/10.1007/s10603-022-09525-4
Matos, J.A. & Mergulhao, J. (2018). Debt, information asymmetry and bankers on board. The journal of network theory in finance, 4(1), 39-63. https://doi.org/10.21314/JNTF.2018.038
Mayock, T. & Shi, L. (2022). Adverse selection in the market for mortgage servicing rights. Journal of Housing Economics, 58(3), 101858. https://doi.org/10.1016/j.jhe.2022.101858
Mohd, N., Mardhiah, S., Salim, S., Mansur, M. & Shahiri, H. (2024). Moral Hazard Behaviors and Mitigation Strategies: A Systematic Review. https://doi.org/10.17576/JEM-2024-5801-01
Morgan, H. (2022). Conducting a Qualitative Document Analysis. The Qualitative Report, 27(1), 64-77. https://doi.org/10.46743/2160-3715/2022.5044
O’Leary, Z. (2014). The essential guide to doing your research project (2nd ed.).CA: SAGE Publications, Inc.
Pugliese, M., Bourdais, C.L. & Clark, S. (2021). Credit Card Debt and the Provision of Financial Support to Kin in the US. Journal of Family and Economic Issues, 42(189), 1-17. https://doi.org/10.1007/s10834-020-09731-7
Robichaud, Z., Brand, B. & Yu, H. (2024). Bridging the information asymmetry in e-commerce: an intercultural perspective on sustainable clothing. International Journal of Retail & Distribution Management. https://doi.org/10.1108/IJRDM-12-2023-0708
Rodrigo, G.M.R. & Aldolase, S. (2021). Unrealistic Optimism, Compulsive Purchasing and Debt-Stress among Credit Card Users in Sri Lanka. Sri Lanka Journal of Marketing, 7, 145. https://doi.org/10.4038/sljmuok.v7i0.52
Silova, E. & Kovina, E.E. (2023). The Problem of Overcoming Information Asymmetry in Public Administration . Bulletin of Chelyabinsk State University, 478(8), 274-282. https://doi.org/10.47475/1994-2796-2023-478-8-274-282
Strelchenko, S.I.A. (2024). Ways to Counteract Information Asymmetry in Electronic Multilateral Trade: The Game-Theoretic Approach. Journal of Modern Competition, 18(3), 25-36. https://doi.org/10.37791/2687-0657-2024-18-3-25-36
Talib, M.A., Abdullah, A. & Yee, C.W. (2015). Credit card practices: Knowledge, attitude and debt management. Pertanika Journal of Social Sciences & Humanities, 23, 119-142.
Thiyagarajan, G., Rengasamy, R.K. & Sankar, D. (2024). Customer Awareness about Credit Card Usage and Satisfaction with Special Reference to Channel Metropolitan. Humanities Social Sciences Studies, 12(2), 119-126.
Thompson, P. (2020). The Relationship between Consumer Credit Card Debt and Immigrants in the UK: A Systematic Review. American Journal of Economics, 4(2), 86-114. https://doi.org/10.47672/aje.637
Tiniç, M., Sensoy, A., Akyildirim, E. & Corbet, S. (2022). Adverse Selection in Cryptocurrency Markets. Electronic Journal. https://doi.org/10.2139/ssrn.4175306
Wang, H.Y. (2024). Information Asymmetry and Agency Problems in the Financial Market. Highlights in Business Economics and Management, 32, 62-66. https://doi.org/10.54097/2eq3j535
Wu, L., He, K. & Guo, Z. (2024). Research on Credit Default Swaps Pricing Considering Moral Hazard Incentive under Reduce-Form Model. Journal of Systems Science and Systems Engineering, 33(4),1-19. https://doi.org/10.1007/s11518-024-5592-1
Xu, N., Yuan, Y. & Rong, Z. (2022). Depressed access to formal finance and the use of credit card debt in Chinese SMEs. China Economic Review, 72(1), 101758. https://doi.org/10.1016/j.chieco.2022.101758
Yang, F., Ren, J. & Xia, C. (2024). Digitalisation and cream skimming adverse selection in the property-casualty insurance industry: evidence from China. The Geneva Papers on Risk and Insurance-Issues and Practice. https://doi.org/10.1057/s41288-023-00310-z
Yan, Z. & Lee, H. (2023). Insurance Contracting with Adverse Selection and Moral Hazard. Journal of Finance Issues, 21(2), 75-100. https://doi.org/10.58886/jfi.v21i2.6558
Yoo, P.S. (1998). Still Charging: The Growth of Credit Card Debt Between 1992 and 1995. Review, 80(Jan), 19-27. https://doi.org/10.20955/r.80.19-28
Zhang, M. (2024). Identification and Analysis of Credit Card Fraud Based on Machine Learning Methods. Advances in Economics Management and Political Sciences, 94(1), 84-97. https://doi.org/10.54254/2754-1169/94/2024OX0182
Zhao, S.L., Wang, M.X., Zhu, Q.H. & Zhou, Q. (2024). Effects of information asymmetry on green advertising for remanufacturing within a closed-loop supply chain. Transportation Research Part E Logistics and Transportation Review, 188(1). https://doi.org/10.1016/j.tre.2024.103618
Zweifel, P. & Hofmann, A. (2024). Can Multi-Peril Insurance Policies Mitigate Adverse Selection? Risks, 12(6),102. https://doi.org/10.3390/risks12060102
Apostolos Kiohos
Correspondence: Apostolos Kiohos, akiohos@uom.edu.gr
Department of International and European Studies, University of Macedonia, Thessaloniki, Greece.
pdf (632.1 Kb) | doi: https://doi.org/10.47260/bae/1125
Reinsurance is the last shelter of traditional international risk management. Insurance companies cede part of their risks incurred to the reinsurance companies and this enhances the proper risk diversification procedure. This paper investigates the risk transmission characteristics from the USA and Europe insurance markets on the Global reinsurance market in order to analyse the risk affection of insurance to the reinsurance sector. The results suggest that there is a relatively low risk influence of non-life and life insurance companies on the global reinsurance index. Also, last four years the U.S. non-life and life insurance markets volatility asymmetry has an impact on the volatility of the global reinsurance index in terms of bad and good news. The volatility persistence is high before and after the pandemic period, indicating that if there is an extreme volatility shock in the insurance markets, the impact will occur faster on global reinsurance, except for the European non-life insurance index, which has the lowest impact on the reinsurance market in terms of the volatility persistence.
Reinsurance, Risk Analysis, Non- Life Insurance, Life Insurance, TGARCH.
Acharya, V. V, Biggs, J., Richardson, M. and Ryan, S. (2009). On the Financial Regulation of Insurance Companies. Working Paper, NYU Stern School of Business, New York.
Arena, M. (2008). Does Insurance Market Activity Promote Economic Growth? Across-Country Study for Industrialized and Developing Countries. Journal of Risk and Insurance, 75(4), 921-946.
Brooks, C. (2014). Introductory Econometrics for Finance. Cambridge: Cambridge University Press.
Chang, V. Y., and Jeng, V. S. (2016). The Relationship among the Demand for Reinsurance, Liquidity, and Leverage in the US property-liability Insurance Industry. Jing Ji Lun Wen Cong Kan, 44(4), 543-576.
Cummins, J. D., Feng, Z., and Weiss, M. A. (2012). Reinsurance Counterparty Relationships and Firm Performance in the US property-liability Insurance Industry. Available at SSRN 1997444.
Feldblum, S. (2007). Capital Structure, Solvency Regulation, and Federal Income Taxes for property-casualty Insurance Companies. Variance, 1(2), 157-172.
International Association of Insurance Supervisors (2012). Reinsurance and Financial Stability. Special Report, July.
Kessler, D. (2014). Why (Re)insurance is not Systemic. Journal of Risk and Insurance, 81(3), 477-488.
Kiohos, A. (2020). Risk Affection and Transmission of News of Conditional Volatility from the Non-Life to Life Insurance Sector, Bulletin of Applied Economics, 7(2), 87-96.
Mankaï, S., and Belgacem, A. (2016). Interactions between Risk Taking, Capital, and Reinsurance for Property–Liability Insurance Firms. Journal of Risk and Insurance, 83(4), 1007-1043.
Saunders, A., and Cornett, M.M. (2018). Financial Institutions Management: A Risk Management Approach, New York, NY: McGraw-Hill Education.
Shiu, Y. M. (2011). Reinsurance and Capital Structure: Evidence from the United Kingdom Non‐Life Insurance Industry. Journal of Risk and Insurance, 78(2), 475-494.
Siu, Y.M. (2020). How does Reinsurance and Derivatives usage Affect Financial Performance? Evidence from the UK Non-Life Insurance Industry. Economic Modeling, 88, 376-385.
So, M. K., Li, W. and Lam, K. (2002). On a Threshold Stochastic Volatility Model. Journal of Forecasting, 22, 473–500.
Soye, Y. A., Adeyemo, D. L., and Ayo, J. (2017). Evaluation of Impact of Reinsurance Mechanism on Insurance Companies Sustainability in Nigeria. International Journal of Research, Innovations and Sustainable Development, 7(1), 1-14.
Upreti, V., and Adams, M. (2015). The Strategic Role of Reinsurance in the United Kingdom’s (UK) Non-Life Insurance Market. Journal of Banking and Finance, 61, 206-219.
Vaduva, M., and Vaduva, E.C. (2018). The Role of Reinsurance in Insurance. Annals of Constantin Brancusi University of Targu-Jiu. Economy Series/Analele Universităţii'Constantin Brâncuşi'din Târgu-Jiu Seria Economie, 2.
Wehrhahn, R. (2009). Introduction to Reinsurance. Primer Series on Insurance, 2.
Zakoian, J.M. (1994). Threshold Heteroskedastic Models. Journal of Economic Dynamics and Control, 18(5), 931–955.
Zivot, E. and Andrews, K. (1992). Further Evidence on the Great Crash, the Oil Price Shock and the Unit Root Hypothesis. Journal of Business and Economic Statistics, 10(10), 251-270.
Sediq Sameem
Correspondence: Sediq Sameem, sediq.sameem@gmail.com
Alabama A&M University, Normal, AL 35762, USA
pdf (632.1 Kb) | doi: https://doi.org/10.47260/bae/1124
The association between mortality and business cycle is inconclusive. Most macro level studies find mortality to be pro-cyclical whereas micro level studies suggest the opposite. The consensus among these studies, however, is on the use of unemployment rate as a proxy for cyclical variations in economic activity. This study builds upon these findings by implementing an alternative proxy – per capita income – to better understand such a mediating relationship. Using state level annual data of the United States during 1968-2022, this study finds a negative association between state per capita income and mortality rate. Contrary to the findings of macro level studies, this analysis suggests that mortality declines during expansions. The results are robust to the inclusion of both old and new proxies for the business cycle.
Health, Mortality, Unemployment, Income.
Ariizumi, H., and Schirle, T. (2012). Are recessions really good for your health? Evidence from Canada. Social Science & Medicine, 74(8), 1224-1231.
Cameron, A. C., and Miller, D. L. (2015). A practitioner’s guide to cluster-robust inference. Journal of Human Resources, 50(2), 317-372.
Enamorado, T., López-Calva, L. F., and Rodríguez-Castelán, C. (2014). Crime and growth convergence: Evidence from Mexico. Economics Letters, 125(1), 9-13.
Fontenla, M., Gonzalez, F., and Quast, T. (2011). Are recessions good for everyone’s health? The association between mortality and the business cycle by race/ethnicity in the US. Applied Economics Letters, 18, 207-212.
Gerdtham, U. G., and Johannesson, M. (2005). Business cycles and mortality: results from Swedish microdata. Social Science & Medicine, 60(1), 205-218.
Gerdtham, U. G., and Ruhm, C. J. (2006). Deaths rise in good economic times: evidence from the OECD. Economics & Human Biology, 4(3), 298-316.
Gonzalez, F., and Quast, T. (2010). Mortality and business cycles by level of development: Evidence from Mexico. Social Science & Medicine, 71(12), 2066-2073.
Gordon, S. H., & Sommers, B. D. (2016). Recessions, poverty, and mortality in the United States: 1993–2012. American Journal of Health Economics, 2(4), 489-510.
Granados, J. A. T. (2005). Recessions and mortality in Spain, 1980–1997. European Journal of Population, 21(4), 393-422.
Heutel, G., and Ruhm, C. J. (2016). Air pollution and procyclical mortality. Journal of the Association of Environmental and Resource Economists, 3(3), 667-706.
Lin, S. J. (2009). Economic fluctuations and health outcome: a panel analysis of Asia-Pacific countries. Applied Economics, 41(4), 519-530.
Neumayer, E. (2004). Recessions lower (some) mortality rates: evidence from Germany. Social Science & Medicine, 58(6), 1037-1047.
Ruhm, C. J. (2015). Recessions, healthy no more? Journal of Health Economics, 42, 17-28.
Ruhm, C. J. (2000). Are recessions good for your health? The Quarterly Journal of Economics, 115(2), 617-650.
Sameem, S., and Sylwester, K. (2017). The business cycle and mortality: Urban versus rural counties. Social Science & Medicine, 175, 28-35.
State Mortality Rate, National Center for Health Statistics (NCHS), Compressed Mortality File (CMF) on CDC WONDER Online Database. Data link: http://wonder.cdc.gov/mortsql.html
State Per Capita Income, U.S. Bureau of Economic Analysis, Department of Commerce. Data link: https://www.bea.gov/itable/
State Unemployment Rate, Local Area Unemployment Statistics, U.S. Bureau of Labor Statistics, Department of Labor. Data link: http://www.bls.gov/lau/
Stevens, A. H., Miller, D. L., Page, M. E., and Filipski, M. (2015). The best of times, the worst of times: understanding pro-cyclical mortality. American Economic Journal: Economic Policy, 7(4), 279-311.
Strully, K. W. (2009). Job loss and health in the US labor market. Demography, 46(2), 221-246.
Sullivan, D., and Von Wachter, T. (2009). Job displacement and mortality: An analysis using administrative data. The Quarterly Journal of Economics, 124(3), 1265-1306.
Nachiket Thakkar and Rafiqul Bhuyan
Correspondence: Nachiket Thakkar, nachiket.thakkar@aamu.edu
Alabama A&M University
pdf (632.1 Kb) | doi: https://doi.org/10.47260/bae/1123
This paper empirically examines the impact of financial technology (FinTech) and financial inclusion on sustainable development goals (SDGs). The adoption of FinTech has a significant positive effect on key SDGs in developing nations. Specifically, FinTech contributes to reducing income inequality and poverty, while promoting gender equality, access to basic sanitation, clean energy, and education. Additionally, the increasing adoption of FinTech is linked to overall economic growth. To address potential biases from heteroscedasticity and endogeneity, we conduct robustness checks using simultaneous equation modeling and Poisson pseudo-maximum likelihood estimations. Our findings confirm that the benchmark results are robust.
Sustainable Development Goals, SDG, Fintech, Financial Inclusion, Pseudo – Poisson Maximum Likelihood (PPML), Simultaneous Equations Model (SEM).
Akhtar, S., & Pearce, D. (2010). Microfinance in the Arab World: The challenge of financial inclusion.
Allen, F., Carletti, E., Cull, R., Qian, J. Q., Senbet, L., & Valenzuela, P. (2014). The African financial development and financial inclusion gaps. Journal of African economies, 23(5), 614-642.
Ali, A. E. E. S. (2019). Empowering women through financial inclusion: Some evidence from Comoros. International Journal of Asian Social Science, 9(2), 256-270.
Andrianaivo, M., & Kpodar, K. (2011). ICT, financial inclusion, and growth: Evidence from African countries.
Ayyagari, M., & Beck, T. (2015). Financial inclusion in Asia: An overview. Asian Development Bank Economics Working Paper Series, (449).
Beck, T., Senbet, L., & Simbanegavi, W. (2015). Financial inclusion and innovation in Africa: An overview. Journal of African Economies, 24(suppl_1), i3-i11.
Bold, C., Porteous, D., & Rotman, S. (2012). Social cash transfers and financial inclusion: Evidence from four countries. Population (in millions), 193(46), 109.
Okello Candiya Bongomin, G., Ntayi, J. M., Munene, J. C., & Malinga, C. A. (2018). Mobile money and financial inclusion in sub-Saharan Africa: the moderating role of social networks. Journal of African Business, 19(3), 361-384.
Chakravarty, S. R., & Pal, R. (2013). Financial inclusion in India: An axiomatic approach. Journal of Policy modeling, 35(5), 813-837.
Chibba, M. (2009). Financial inclusion, poverty reduction and the millennium development goals. The European Journal of Development Research, 21, 213-230.
Chikalipah, S. (2017). What determines financial inclusion in Sub-Saharan Africa?. African Journal of Economic and Management Studies, 8(1), 8-18.
Collard, S. (2007). Toward financial inclusion in the UK: Progress and challenges. Public Money and Management, 27(1), 13-20.
Comparato, G. (2015). The rationales of financial inclusion in the changing European private law. European Review of Contract Law, 11(1), 22-45.
Corrado, G., & Corrado, L. (2015). The geography of financial inclusion across Europe during the global crisis. Journal of Economic Geography, 15(5), 1055-1083.
Cull, R., Demirgüç-Kunt, A., & Lyman, T. (2012). Financial inclusion and stability: what does research show?.
Davidson, R., J. G. MacKinnon, et al. (1993). Estimation and inference in econometrics. OUP Catalogue.
Demirgüç-Kunt, A., & Singer, D. (2017). Financial inclusion and inclusive growth: A review of recent empirical evidence. World Bank Policy Research Working Paper, (8040).
De Matteis, L. (2015). Financial inclusion. Policies and instruments for migrants in Italy. Savings and Development, 39-69.
Donovan, K. (2012). Mobile money for financial inclusion. Information and Communications for development, 61(1), 61-73.
Evans, O. (2018). Connecting the poor: The internet, mobile phones and financial inclusion in Africa. Digital Policy, Regulation and Governance, 20(6), 568-581.
Fungáčová, Z., & Weill, L. (2015). Understanding financial inclusion in China. China Economic Review, 34, 196-206.
Feng, H., & Li, Y. (2024). The role of fintech, natural resources, environmental taxes and urbanization on environmental sustainability: Evidence from the novel panel data approaches. Resources Policy, 92, 104970
Fonté, E. F. (2012). Mobile payments in the United States: How disintermediation may affect delivery of payment functions, financial inclusion and anti-money laundering issues. Wash. JL Tech. & Arts, 8, 419.
Gabor, D., & Brooks, S. (2017). The digital revolution in financial inclusion: international development in the fintech era. New political economy, 22(4), 423-436.
Ghosh, J. (2013). Microfinance and the challenge of financial inclusion for development. Cambridge journal of economics, 37(6), 1203-1219.
Ghosh, A., & Bhattacharya, L. (2021). SureCash: Promoting financial inclusion in Bangladesh. In Asia's Social Entrepreneurs (pp. 55-63). Routledge.
Godinho, V., & Singh, S. (2013, September). Technology enabled financial inclusion and evidence-based policy for the underbanked: A study of remote Indigenous Australia. In CPRsouth8/CPRafrica2013 conference.
Hannig, A., & Jansen, S. (2010). Financial inclusion and financial stability: Current policy issues.
Hasan, M., Hoque, A., Abedin, M. Z., & Gasbarro, D. (2024). FinTech and sustainable development: A systematic thematic analysis using human-and machine-generated processing. International Review of Financial Analysis, 95, 103473.
Headey, D. D., & Hodge, A. (2009). The effect of population growth on economic growth: A meta‐regression analysis of the macroeconomic literature. Population and development review, 35(2), 221-248.
Infelise, F. (2014). Supporting Access to Finance by SMEs: Mapping the initiatives in five EU countries.
Kabakova, O., & Plaksenkov, E. (2018). Analysis of factors affecting financial inclusion: Ecosystem view. Journal of business Research, 89, 198-205.
Kim, D. W., Yu, J. S., & Hassan, M. K. (2018). Financial inclusion and economic growth in OIC countries. Research in International Business and Finance, 43, 1-14.
Kumar, N. (2013). Financial inclusion and its determinants: evidence from India. Journal of Financial Economic Policy.
Marshall, J. N. (2004). Financial institutions in disadvantaged areas: a comparative analysis of policies encouraging financial inclusion in Britain and the United States. Environment and Planning A, 36(2), 241-261.
Mitchell, K., Scott, III, R. H., Mitchell, K., & Scott, R. H. (2019). Public revenue, financial inclusion and value-added tax in Argentina. Pesos or Plastic? Financial Inclusion, Taxation, and Development in South America, 33-58.
Mitton, L. (2008). Financial inclusion in the UK: Review of policy and practice. Joseph Rowntree Foundation.
Mohan, R. (2008). Economic Growth, Financial Deepening and Financial Inclusion* Rakesh Mohan. Dynamics of Indian Banking: Views and Vistas, 92.
Naceur, S. B., Barajas, A., & Massara, A. (2017). Can Islamic banking increase financial inclusion?. In Handbook of empirical research on Islam and economic life (pp. 213-252). Edward Elgar Publishing.
Nanziri, E. L. (2016). Financial inclusion and welfare in South Africa: Is there a gender gap?. Journal of African Development, 18(2), 109-134.
Neaime, S., & Gaysset, I. (2018). Financial inclusion and stability in MENA: Evidence from poverty and inequality. Finance Research Letters, 24, 230-237.
Owen, A. L., & Pereira, J. M. (2018). Bank concentration, competition, and financial inclusion. Review of development finance, 8(1), 1-17.
Ozili, P. K. (2018). Impact of digital finance on financial inclusion and stability. Borsa Istanbul Review, 18(4), 329-340.
Ozili, P. K. (2019). Non-performing loans and financial development: new evidence. The Journal of Risk Finance.
Park, C. Y., & Mercado, R. (2015). Financial inclusion, poverty, and income inequality in developing Asia. Asian Development Bank Economics Working Paper Series, (426).
Peterson, E. W. F. (2017). The role of population in economic growth. Sage Open, 7(4), 2158244017736094.
Rodrik, D. (2005). Growth strategies. Handbook of economic growth, 1, 967-1014.
Sadigov, S., Vasilyeva, T., & Rubanov, P. (2020). Fintech in economic growth: cross-country analysis. Economic and social development: Book of Proceedings, 729-739
Sahay, R., Čihák, M., N'Diaye, P., & Barajas, A. (2015). Rethinking financial deepening: Stability and growth in emerging markets. Revista de Economía Institucional, 17(33), 73-107.
Shehata, E. A. E. (2012, February). LMCOVREG3: Stata module to Compute Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test after (3SLS-SURE) Regressions. Sta- tistical Software Components, Boston College Department of Economics.
Sarma, M., & Pais, J. (2011). Financial inclusion and development. Journal of international development, 23(5), 613-628.
Sinclair, S. (2013). Financial inclusion and social financialisation: Britain in a European context. International Journal of Sociology and Social Policy.
Tsai, K. S. (2017). Fintech and financial inclusion in China (No. 2017-20). HKUST Institute for Emerging Market Studies.
Turegano, D. M., & Herrero, A. G. (2018). Financial inclusion, rather than size, is the key to tackling income inequality. The Singapore Economic Review, 63(01), 167-184.
Wang, X., & Shihadeh, F. (2015). Financial inclusion: Policies, status, and challenges in Palestine.
Yangdol, R., & Sarma, M. (2019). Demand-side factors for financial inclusion: A cross-country empirical analysis. International Studies, 56(2-3), 163-185.
Yanikkaya, H. (2003). Trade openness and economic growth: a cross-country empirical investigation. Journal of Development economics, 72(1), 57-89.
Zins, A., & Weill, L. (2016). The determinants of financial inclusion in Africa. Review of development finance, 6(1), 46-57.
Emmanuel Gyamera and Ivy Eklemet
Correspondence: Ivy Eklemet, eklemet.ivy@upsamail.edu.gh
Department of Accounting, University of Professional Studies, Accra
pdf (632.1 Kb) | doi: https://doi.org/10.47260/bae/1122
According to numerous studies, small and medium businesses are more financially limited than large businesses due to the lack of audited financial accounts. This study investigates the effects of Audit services on SMEs' financial performance. As a result, to obtain the necessary data for the project, the study used a quantitative strategy and a survey method. The study's participants are registered SMEs from the Registrar General's Department. The sample size was determined using a list of 6,000 registered small and medium businesses. The SMEs were chosen through a systematic selection process and were given questionnaires. The PLS-SEM Software was used to analyse the data collected from the respondents. The findings indicate that the use of audit services results in the avoidance and detection of financial irregularities, resulting in an improvement in SMEs' financial performance. The study also found a positive relationship between information technology and the financial performance of SMEs.
Audit Services, Small and Medium Scale Enterprise (SME), Financial Performance, information technology.
Ado, A. B., Rashid, N., Mustapha, U. A., & Ademola, L. S. (2020). The impact of audit quality on the financial performance of listed companies in Nigeria. Journal of Critical Reviews, 7(9), 37-42.
Albertin, A., & de Moura, R. (2004). The Benefits of Information Technology in Business Performance. American Accounting Association (1973). A Statement on Basic Auditing Concepts, Sarasota, Florida.
Amora, J. T. (2021). Convergent validity assessment in PLS-SEM: A loadings-driven approach. Data Analysis Perspectives Journal, 2(3), 1-6.
Amoah, S. K., & Amoah, A. K. (2018). The role of small and medium enterprises (SMEs) to employment in Ghana. International Journal of Business and Economics Research, 7(5), 151-157.
Anderson, B., Maletta, M., and Wright, A. (1998). "Perceptions of auditor responsibility: Views of the judiciary and the profession". International Journal of Auditing, 2(3), 215–232.
Auditor. Corporate Finance Institute. (n.d.). Retrieved 29 November 2021, from https://corporatefinanceinstitute.com/resources/knowledge/finance/auditor/.
Agbaje, A. G. A., Bojuwon, M., & Abidoye, M. K. (2017). Impact of accounting and audit service for small and medium scale enterprises' performance. Osogbo Journal of Management (OJM), 2(2), 21-43.
Amahalu, N. (2020). Effect of audit quality on the financial performance of quoted conglomerates in Nigeria. International Journal of Management Studies and Social Science Research, 2(4).
Arens, A., R. Elder, and Beasley, M. (1997), Auditing and Assurance Services: An Integrated Approach, 11th ed., Prentice-Hall, Englewood Cliffs, NJ.
Bendickson, J., Muldoon, J., Liguori, E. W., & Davis, P. E. (2016). Agency theory: background and epistemology. Journal of Management History.
Bierstaker, James & Burnaby, Priscilla & Thibodeau, Jay. (2001). The impact of information technology on the audit process: An assessment of state of the art and implications for the future. Managerial Auditing Journal. 16. 159-164. 10.1108/02686900110385489.
Bongini, P., Ferrando, A., Rossi, E., & Rossolini, M. (2021). SME access to market-based finance across Eurozone countries. Small Business Economics, 56(4), 1667-1697.
Chege, S. M., Wang, D., & Suntu, S. L. (2020). Impact of information technology innovation on firm performance in Kenya. Information Technology for Development, 26(2), 316-345.
Chin, W.W. (2010), "Bootstrap cross-validation indices for PLS path model assessment", in Esposito Vinzi, V., Chin, W.W., Henseler, J. and Wang, H. (Eds), Handbook of Partial Least
Churchill, DA & Iacobucci, D., 2010, Market research: Methodological foundations, South-Western Cengage Learning, Boston, MA.
Encyclopedia of Business. (2011). Performance measurement. Retrieved from Encyclopedia of Business: httpwww.referenceforbusiness.com
Farah, N., Farrukh, I., & Faizan, N. (2016). Financial Performance of Firms: Evidence from Pakistan Cement Industry. Journal of Teaching and Education, 5(1), 81–94.
Ganyam, A. I., & Ivungu, J. A. (2019). Effect of accounting information system on the financial performance of firms: A review of the literature. Journal of Business and Management, 21(5), 39-49.
Hair, J.F., Ringle, C.M. and Sarstedt, M. (2011), “PLS-SEM: indeed a silver bullet”, Journal of Marketing Theory and Practice, Vol. 18 No. 2, pp. 139-152.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review.
Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modelling in international marketing. In New challenges to global marketing. Emerald Group Publishing Limited.
Henseler, J. (2015), "Is the whole more than the sum of its parts? On the interplay of marketing and design research", Inaugural lecture held on 30 April 2015, University of Twente, Enschede.
Hazaea, S. A., Tabash, M. I., Zhu, J., Khatib, S. F., & Farhan, N. H. (2021). Internal audit and financial Performance of Yemeni commercial banks: Empirical evidence. Banks and Bank Systems, 16(2), 137-147.
Ichsan, R., Suparmin, S., Yusuf, M., Ismal, R., & Sitompul, S. (2021). Determinant of Sharia Bank's Financial Performance during the Covid-19 Pandemic. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 298-309.
Khalil, S., & Belitski, M. (2020). Dynamic capabilities for firm Performance under the information technology governance framework. European Business Review.
Kock, N. (2020). Total latent growth and its use in PLS-SEM: Testing moderating relationships. Data Analysis Perspectives Journal, 1(1), 1-5.
Majors, T. M., & Bonner, S. E. (2019). Does a Completion Goal Impede Auditors' Identification of Fraud Risk? The Benefit of a Refuse to Accept Goal and Influence of Professional Identity. The Benefit of a Refuse to Accept Goal and Influence of Professional Identity (12 December 2019). USC Marshall School of Business Research Paper.
Mallinguh, E., Wasike, C., & Zoltan, Z. (2020). Technology acquisition and SMEs performance, the role of innovation, export and the perception of owner-managers. Journal of Risk and Financial Management, 13(11), 258.
Manley, S. C., Hair, J. F., Williams, R. I., & McDowell, W. C. (2021). Essential new PLS-SEM analysis methods for your entrepreneurship analytical toolbox. International Entrepreneurship and Management Journal, 17(4), 1805-1825.
Memon, M. A., Ramayah, T., Cheah, J. H., Ting, H., Chuah, F., & Cham, T. H. (2021). PLS-SEM statistical programs: a review. Journal of Applied Structural Equation Modeling, 5(1), 1-14.
Nazarova, K., Mysiuk, V., Gordopolov, V., Koval, V., & Danilevičienė, I. (2020). Preventional audit: implementation of SOX control to prevent fraud. Business: Theory and Practice, 21(1), 293-301.
Nunnally, J.C., and Bernstein, I.H. (1994), Psychometric Theory, McGraw-Hill, New York, NY.
Rekha, I. S., & Timothy, P. S. (2020). Understanding the Antecedents to Smart Watch Users Continuance Intention. International Journal of Business, 25(4), 367-381.
Rasoolimanesh, S. M. (2022). Discriminant validity assessment in PLS-SEM: A comprehensive composite-based approach. Data Analysis Perspectives Journal, 3(2), 1-8.
Ramli, N. A., Latan, H., & Solovida, G. T. (2019). Determinants of capital structure and firm financial performance—A PLS-SEM approach: Evidence from Malaysia and Indonesia. The Quarterly Review of Economics and Finance, 71, 148-160.
Salehi, M. (2010). Evaluating the effectiveness of external auditors' report: Empirical evidence from Iran. Pakistan Journal of Commerce and Social Sciences (PJCSS), 4(1), 69-83.
Sarstedt, M., Hair Jr, J. F., Nitzl, C., Ringle, C. M., & Howard, M. C. (2020). Beyond a tandem analysis of SEM and process: use of PLS-SEM for mediation analyses!. International Journal of Market Research, 62(3), 288-299.
Sarstedt, M., Ringle, C. M., Cheah, J. H., Ting, H., Moisescu, O. I., & Radomir, L. (2020). Structural model robustness checks in PLS-SEM. Tourism Economics, 26(4), 531-554.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European journal of marketing.
Slim, A., Sarah, O., Kadhim, K., Ali, B., Hammood, A., & Othman, B. (2021). The effect of information technology business alignment factors on the performance of SMEs. Management Science Letters, 11(3), 833-842.
Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960-967.
Tallon, P. P., Queiroz, M., Coltman, T., & Sharma, R. (2019). Information technology and the search for organisational agility: A systematic review with future research possibilities. The Journal of Strategic Information Systems, 28(2), 218-237.
Zeng, N., Liu, Y., Gong, P., Hertogh, M., & König, M. (2021). Do right PLS and do PLS right: A critical review of the application of PLS-SEM in construction management research. Frontiers of Engineering Management, 8(3), 356-369.
Mohammad Robbani
Correspondence: Mohammad Robbani, mohammad.robbani@aamu.edu
Alabama A&M University
pdf (632.1 Kb) | doi: https://doi.org/10.47260/bae/1121
Firms involved in foreign trade (exports and imports) are generally sensitive to fluctuations in the exchange rates and carefully take it into consideration while planning their future trading. In this paper, we study the inter-relationship between exchange rate volatility and economic growth in the Eurozone markets. Specifically, we study how volatility of a country’s foreign currency exchange rate affects economic development. For an economy that is heavily dependent on foreign trade, its overall economic productivity may be affected by fluctuation of its currency with the currencies of the trading partners. We investigate this relationship between the GDP growth rates of twenty Eurozone countries with the exchange rate volatility of thirteen developed countries. Our results indicate that GDP growth rates of most of the Eurozone countries are generally affected by exchange rate volatility of its trading partners. Most of these impacts are negative indicating that the GDP growth rates of the Eurozone countries decline with the volatility of the exchange rates of trading partners. The result is consistent with the findings of previous literature in this area. Our findings are important for the policymakers to consider in planning the management of their currencies to minimize the negative effect of exchange rate volatility.
Volatility, Exchange rates, GDP growth rate, Regression.
Aghion, P., P. Bacchetta, R. Ranciere and K. Rogoff (2009), Exchange Rate Volatility and Productivity Growth: The Role of Financial Development, Journal of Monetary Economics, 56, 494-513.
Bahmani-Oskooee, Mohsen and Augustine C. Arize (2022), The effect of exchange rate volatility on U.S. bilateral trade with Africa: Symmetric and asymmetric analysis, Economic Systems, 46.
Barguellil, Achouak, Ousama Ben-Salha and Mourad Zmami (2018), Exchange rate volatility and economic growth, Journal of Economic Integration 33(2), 1302- 1336, https://doi.org/10.11130/jei.2018.33.2.1302
Bruns, B. Stephan and John P. Ioannidis (2020), Determinants of economic growth: Different time different answer, Journal of Macroeconomics, 63, https://doi.org/10.1016/j.jmacro.2019.103185
Calvo, Guillremo and Carmen Reinhart. 2002. Fear of Floating. Quarterly Journal of Economics. 117: 379-408.
Calvo, Guillremo and Carmen Reinhart. 2006. Fixing for your Life. In Emerging Capital markets in Turmoil: Bad Luck or Bad Policy? Guillermo Calvo, MA: MIT Press.
Chen, Baizhu and Yi Feng (2000), Determinants of economic growth in China: Private enterprise, education and openness, China Economic Review, 11(1), 1-15. https://doi.org/10.1016/S1043-951X(99)00014-0
Demir, First (2013), Growth under exchange rate volatility: Does access to foreign or domestic equity market matter? Journal of Development Economics, 100(1), 74-88. https://doi.org/10.1016/j.jdeveco.2012.08.001
Edwards, Sebastian and Eduardo Levy-Yeyati. 2003. Flexible Exchange Rates as Shock Absorbers. NBER Working Paper 9867.
Eichengreen, Barry and David Leblang. 2003. Exchange Rates and Financial Fragility. NBER Working Paper 7418.
Fischer, Stanley. 2001. Exchange Rate Regimes: Is the Bipolar View Correct? Journal of economic Perspective. 15(2): 3-24.
Frankel, Jeffrey, and Shang-Jin Wei. 1994. Yen Bloc or Dollar Bloc? Exchange Rate Policies of the East Asian Economies. In Macroeconomic Linkages: Savings, Exchange Rates, and Capital Flows, Takatoshi Ito and Anne Krueger, eds. Chicago: University of Chicago Press. 295-329.
Frankel, Jeffrey, and Shang-Jin Wei. 2008. Estimation of De Facto Exchange Rate Regimes: Synthesis of the Techniques for Inferring Flexibility and Basket Weights. IMF Staff Papers 55(3): 384-41.
Ghosh, Atish, Anne-Marie Gulde, and Holger Wolf. 2003. Exchange Rate Regimes: Choices and Consequences, Cambridge. Massachusetts: MIT Press.
Habib,M., E. Mileva and L. Stracca (2017), The Real Exchange Rate and Economic Growth: Revisiting the Case Using External Instruments, Journal of International Money and Finance, 3, 386-398.
Hodrick, R.J. and S. Srivastava (1984), An Investigation of Risk and Return in Foreign Exchange, Journal of International Money and Finance, 3, 5-29.
Hossain, Sharif and Rajashri Mitra (2013), The Dterminants of economic growth in Africa: a dynamic causality and panel cointegration analysis, Economic Analysis and Policy, 43(2), 217-226. https://doi.org/10.1016/S0313-5926(13)50019-1
Josepha Ramoni-Perazzi and Hector Romero (2022), Exchange rate volatility, corruption and economic growth, Heliyon, 8(12), 1-11.
Kappler, M., H. Reisen, M. Schularick and E. Turkisch (2012), The Macroeconomic Effect of Large Exchange Rate Appreciations, Open Economic Review, 24(3), 471-494.
Lal, Madan, Satish Kumar, Dharen K. Pandey, Varun K. Rai and Weng M. Lim (2023), Exchange rate volatility and international trade, Journal of Business Research, 167(23)
Lee, Jong-Wha and Kiseok Hong (2022), Economic growth in Asia: Determinants and prospects, Japan and the World Economy, 24(2), 101-113, https://doi.org/10.1016/j.japwor.2012.01.005
McKinnon, Ronald and Gunther Schnabl. 2003. Synchronized Business Cycles in East Asia and Fluctuations in the Yen/Dollar Exchange Rate. The World Economy. 26 (8):1067-1088.
McKinnon, Ronald. 2006. Exchange Rates Under the East Asian Dollar Standard: Living with Conflicted Virtue. Cambridge, Massachusetts
Meese, R.R. and K. Rogoff, (1983), Empirical Exchange Rate Models of the Seventies: Do They Fit out of Sample? Journal of International Economics, 14,3-24.
Mpho Bosupeng, Athula Naranpanawa and Jne-Je Su (2024), Does Exchange Rate volatility affect the impact of appreciation and depreciation on the trade balance? A nonlinear bivariate approach, Economic Modelling, 130
Pekarcikov, Katerina, Michal Vanek and Radmila Sousedikova (2022) Determinants of economic growth: Panel data analysis of OPEC. https://doi.org/10.1016/j.resourpol.2022.103129
Sabina, Nsofor E, Takon S. Manyo andUgwuegbe S. Ugochukwu (2017), Modeling Exchange rate volatility and economic growth in Nigeria, Noble International Journal of Economics and Financial Research, 2(6), 88-97.
Schnabl, Gunther (2008), Exchange rate volatility and growth in small open economies at the EMU periphery, Economic Systems, 32(1), 70-91.
Vedia-Jerez, Daniel and Coro Chasco (2016), Long-run Determinants of economic growth in South America, Journal of Applied Economics, 19(1), 169-192. https://doi.org/10.1016/S1514-0326(16)30007-1
World Bank. 1993. The East Asian Miracle: Economic Growth and Public Policy. Oxford University Press.
Ivy Eklemet and Emmanuel Gyamera
Correspondence: Ivy Eklemet, eklemet.ivy@upsamail.edu.gh
Accounting Department, University of Professional Studies, Accra, Ghana
pdf (632.1 Kb) | doi: https://doi.org/10.47260/bae/1116
This paper assessed the effect of directors' remuneration and the remuneration committee on a bank's performance. The study used 200 observations from 20 licensed banks in Ghana from 2012 to 2023. The study employed dynamic System Generalized Method of Moments as the main analytical estimator using Stata 16.0 software. The study revealed that directors' remuneration, audit committee independence, and the remuneration committee are positively and significantly related to the bank's performance. Furthermore, the study revealed that banks with a remuneration committee as well as an independent audit committee tend to enhance the bank's performance because remuneration and audit committees tend to align directors' remuneration with the bank's performance. The findings highlight the importance of setting up a remuneration committee as well as strengthening its functions. The first recommendation for this study is for the board to strengthen the remuneration committee since it affects the bank's performance positively. Lastly, the study recommends that the remuneration committee should be strengthened to align directors' remuneration with the bank's performance metrics, such as revenue growth, profitability of the bank, and shareholders' returns.
Audit committee independence; Bank’s performance; Directors’ remuneration; Ghana; Optimal contracting contract.
Abor J. & Biekpe N. (2007). Corporate governance, ownership structure and performance of SMEs in Ghana. Implications for financial opportunities, corporate governance. International Journal of Business in Society, 7(3), 288-300.
Aggarwal, R., & Ghosh, A. (2015). Director’s remuneration and correlation on firm’s performance: A study from the Indian corporate. International Journal of Law and Management, 57(5), 373-399.
Agyemang-Mintah, P. (2016). Remuneration Committee governance and firm performance in UK financial firms. Investment Management and Financial Innovations, 13(1), 176–190.
Ahulu, H., & MacCarthy, J. (2019). Does corporate governance structures predict firm’s market value? Empirical evidence from Ghana. International Journal of Economics and Financial Issues, 10(1), 52-58.
Alimi, A.A., Adegun, E.A., & Agboola, O.S. (2023). Board structure, remuneration and corporate financial performance financial performance: Evidence from Nigerian firms. International Journal of Research in Education Hunanities and Commence, 4(6), 85-105.
Appiah, K.O., & Chizema, A. (2016). The impact of board quality and nomination committee on corporate bankruptcy. Advances in Accounting, 35, 75-81.
Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The review of economic studies, 58(2), 277-297.
Aslam, E., Haron, R., & Tahir, M. N. (2019). How director remuneration impacts firm performance: An empirical analysis of executive director remuneration in Pakistan. Borsa Istanbul Review, 19(2), 186–196.
Bebchuk, L. A., & Fried, J. M. (2003). Executive compensation as an agency problem. Journal of economic perspectives, 17(3), 71-92.
Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115-143.
Bond, S. R. (2002). Dynamic panel data models: a guide to micro data methods and practice. Portuguese Economic Journal, 1, 141-162.
Bond, S., Hoeffler, A., & Temple, J. (2001). GMM Estimation of Empirical Growth Models. 2001-W21, Economics Group, Nuffield College, University of Oxford. Available on https://ideas.repec.org/p/nuf/econwp/0121.html.
Boozer, M.A. (1997). Econometric analysis of panel data Badi H. Baltagi Wiley, 1995. Econometric Theory, 13(5), 747 – 754. http://doi.org/10.1017/S0266466600006150.
Boshkoska, M. (2015). The agency problem: Measures for its overcoming. International Journal of Business and Management, 10(1), 204.
Bryant, P., & Davis, C. (2012). Regulated change effects on boards of directors: A look at agency theory and resource dependency theory. Academy of Strategic Management Journal, 11(2), 1.
Cybinski, P., & Windsor, C. (2013). Remuneration committee Independence and CEO remuneration for firm financial performance. Accounting Research Journal, 25(3), 197-221.
Eklemet, I., Mohammed, I., Gyamera, E., & Twumwaah, D. A. (2023). Moderating role of board size between the board characteristics and the Bank’s performance: Application of GMM. International Journal of Economics and Financial Issues, 13(3), 145-157.
Fama, E., & M. Jensen (1983). Separation of ownership and control. Journal of Law and Economics 26, 301-325.
Gao, L., Luo, Y., & Zhang, J. (2007). The Characteristics of Independent Director System and Company Performance - An Empirical Study Based on Chinese Listed Companies. Economics and Management Research, 3, 60-66.
Ghosh, A. (2003). Board structure, executive remuneration and firm performance in emerging economies: Evidence from India. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.202.5573&rep =rep1&type=pdf.
Ghosh, A. (2006). Determination of executive compensation in emerging economies: Evidence from India. Journal of Emerging Markets Finance and Trade, 42(3), 66-90.
Gill, D., Prowse, V., & Vlassopoulos, M. (2013). Cheating in the workplace: An experimental study of the impact of bonuses and productivity. Journal of Economic Behavior & Organization, 96, 120-134.
Guo, L., & Masulis, R. W. (2015). Board structure and monitoring: New evidence from CEO turnovers. The Review of Financial Studies, 28, 2770–2811.
Han, Y. (2015). The Influence of the Characteristics of the Board of Directors on Company Performance: An Empirical Study Based on My Country’s Shanghai A-Share Company. Market Modernization, 22, 110-114.
Haron, R. (2018). Do muslin directors influence firm performance? Empirical Evidence from Malaysia, 283-305.
Harymawan, I., Agustia, D., Nasih, M., Inayati, A., & Nowland, J. (2020). Remuneration committees, executive remuneration, and firm performance in Indonesia. Heliyon, 6(2), 1-5.
Herdan, A., & Szczepańska, K. (2011). Directors remuneration and companies' performance the comparison of listed companies in Poland and UK. Foundations of Management, 3(2), 41-54.
Hermalin, B. E., & Weisbach, M. S. (2003). Board of directors as an endogenously determined institution: A survey of the economic literature. Economic Policy Review, 9(1), 7-26.
Hermalin, B. E., & Weisbach, M. S. (2003). Board of directors as an endogenously determined institution: A survey of the economic literature. Economic Policy Review, 9(1), 7-26
Holmstrom, B. (1979). Moral hazard and observability. Bell Journal of Economics, 74-91.
Holmstrom, B., & Milgrom, P. (1991). Multitask Principal-agent analyses: incentive contracts, asset ownership and job design. Journal of law, economics, & organisation, 7(special issue), 24-52.
IoDSA, 2016, King IV report on corporate governance for South Africa, Johannesburg, viewed 23 March 2024, from http://c.ymcdn.com/sites/www.iodsa.co.za/resource/resmgr/kv/King_IV_Report/IoDSA_King_IV_Report_-_WebVe.pdf
Jensen, M.C., & Meckling, W.H. (1976). The theory of firm: Managerial Behaviour, Agency cost and ownership structure. Journal of Financial Economics, 3(4), 305-360.
Klein, A. (2002). Audit committee, board of director characteristics, and earnings management. Journal of Accounting and Economics, 33(3), 375-400.
Kline, R. B. (2011). Convergence of structural equation modeling and multilevel modeling. The SAGE handbook of innovation in social research methods, 562-589.
Kumar, P., & Sivaramakrishnan, K. (2008). Who monitors the monitor? The effect of board independence on executive compensation and firm value. The Review of Financial Studies, 21(3), 1371-1401.
Kuo, T.-L., Ting, P.-J.L. & Chiu, K.-H. (2013). Correlation between employ bonus and company performances: FTSE TWSE Taiwan 50 index company. Journal of US – China Public Administration, 10(10), 993-1003.
Lam, T., & Lee, S. (2012). Family ownership, board committees and firm performance: Evidence from Hong Kong Corporate Governance. The International Journal of Business in Society, 12, 353-366.
Leitão, N. C. (2010). Financial development and economic growth: A panel data approach. Theoretical and Applied Economics, 15-24.
Li, W. A., & Sun, W. (2007). An Empirical Study on the Cumulative Effect of Board Governance on Corporate Performance-Based on the Data of Chinese Listed Companies. China Industrial Economics, 12, 77-84.
Mansi, S. A., & Reeb, D. M. (2002). Corporate international activity and debt financing. Journal of International Business Studies, 33, 129-147.
Mwangi, G. N. (2012). The effect of credit risk management on the financial performance of commercial banks in Kenya (Doctoral dissertation, University of Nairobi).
Owusu, G. M., Saat, N. A. M., Suppiah, S. D. K., & Siong, H. L. (2017). IFRS adoption, institutional quality and foreign direct investment inflows: A dynamic panel analysis. Asian Journal of Business and Accounting, 10(2), 43-75.
Ozkan, N. (2011). CEO compensation and firm performance: An empirical investigation of UK panel data. European Financial Management, 17(2), 260-285.
Rahayu, N. K., Harymawan, I., Nasih, M., & Nowland, J. (2022). Director pay slice, the remuneration committee, and firm financial performance. Cogent Economics & Finance, 10(1), 1-24.
Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. The stata journal, 9(1), 86-136.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
Sheikh,M.F., Shah, S.Z.A., & Akbar, S. (2018). Firm performance, corporate governance and executive compensation in Pakistan. Applied Economics, 50(18), 2012-2027.
Shin, T. (2016). Fair pay or power play? Pay equity, managerial power, and compensation adjustments for CEOs. Journal of Management, 42(2), 419-448.
Wintoki, M. B., Linck, J. S., & Netter, J. M. (2012). Endogeneity and the dynamics of internal corporate governance. Journal of Financial Economics, 105(3), 581e606.
Wu, J., & Lan, F. Q. (2009). Research on the Correlation between Independent Director System and Corporate Performance - Based on an Empirical Study of Chinese Listed Companies. Economic Forum, 14, 117-121.
Yahaya, O. A. (2022). Do CEOs influence earnings management. South African Journal of Accounting Research, 36(2), 1-13.
Zhou, F. Z., Zhou, Z., Qu, Z. T., & Sun, K. (2010). Collusion of Interests or Supervisory Incentives: An Empirical Study Based on the Increase in the Salary of Directors and Executives of Chinese Listed Companies and Corporate Performance. Chinese Law and Economics Forum Proceedings, Volume 2(8), 616-629.
Zraiq, M., & Fadzil, F. (2018). The impact of audit committee characteristics on firm performance: Evidence from Jordan. Scholar Journal of Applied Sciences and Research, 1(5), 39-42.
Hiroaki Sakurai
Correspondence: Hiroaki Sakurai, hiroaki.sakurai@gakushuin.ac.jp
Gakushuin Women’s College
pdf (632.1 Kb) | doi: https://doi.org/10.47260/bae/1115
This study examines the effects of foreign aid on poverty reduction in Thailand dividing into ways. One is the direct effect of poverty reduction and the other is the indirect effect of economic growth. Dividing the effect of foreign aid into the direct effect of poverty reduction and the indirect effect through economic growth will contribute to a more efficient way of providing foreign aid by adjusting its purpose and method of foreign aid. The estimation results are summarized as follows: First, the relationship between the infant mortality rate, as a substitute for poverty reduction, and foreign aid from 1961 to 2022 was not significantly estimated using OLS or VAR (Vector Autoregression) models. Second, the relationship between the poverty ratio and foreign aid from 1988 to 2020 for every other year was also insignificant, although economic growth was estimated to be significantly positive. Based on these results, it can be inferred that foreign aid has no direct effect on poverty reduction in Thailand; rather, the indirect effect seems more important.
Foreign Aid, Poverty, Thailand.
Alvi, A., and Senbeta, A. (2012). Does foreign aid reduce poverty? Journal of International Development, 24(8), 955–976.
Borensztein, E. J., De Gregorio, J., and Lee, J-W. (1998) How does foreign direct investment affect economic growth? Journal of International Economics, 45, 115-135.
Burnside, C., and Dollar, D. (2000). Aid, policies and growth. American Economic Review, 90(4), 847–868.
Collier, P., and Dollar, D. (2002). Aid allocation and poverty reduction, 46, 1475-1500.
Easterly, W., Levine, R., and Roodman, D. (2004) Aid, policies, and growth: comment. American Economic Review, 94(3), 774-780.
Gomanee, K., Girma, S., and Morrissey, O. (2005a). Aid, public spending, and human welfare: evidence from quantile regressions. Journal of International Development, 17(3), 299–309.
Gomanee, K., Morrissey, O., Mosley, P., and Verschoor, A. (2005b). Aid, government expenditure, and aggregate welfare. World Development, 33(3), 355–370.
Hsiao, F. S. T., and Hsiao, MC. W. (2006) FDI, exports, and GDP in East and Southeast Asia – panel data versus time series causality analysis, World Development, 69, 31-43.
Kaya, O., Kaya, I., and Gunter, L. (2013). Foreign aid and the quest for poverty reduction: Is aid to agriculture effective? Journal of Agricultural Economics, 64(3), 583–596.
Kimura, H, and Todo, Y., (2010) Foreign aid a vanguard of foreign direct investment? A gravity-equation approach, World Development, 38(4), 482-497.
Kurita, K. and Kurosaki, T. (2011). Dynamics of Growth, Poverty, and Inequality: A Panel Analysis of Regional Data from Thailand and the Philippines, Asian Economic Journal, 25(1), 3-33.
Mosley, P., and Suleiman, A. (2007). Aid, agriculture and poverty in developing countries. Review of Development Economics, 11(1), 139–158.
Mosley, P., Hudson, J., and Verschoor, A. (2004). Aid, poverty reduction and the ‘new conditionality’. The Economic Journal, 114(496), F217–F243.
Sakurai, H. (2021). Effects of foreign aid: Evidence from Thailand. New frontiers in regional science: Asian perspectives 50, Springer.
Sakurai, H. (2023). Vanguard effect of foreign aid in Thailand. Bulletin of Applied Economics, 10(1), 157-168.
Townsend, R. T. (2011). Financial Systems in Developing Economies. New York: Oxford University Press.
Ivan D. Trofimov
Correspondence: Ivan D. Trofimov, ivan.trofimov1@gmail.com
Victoria University of Wellington, New Zealand
pdf (632.1 Kb) | doi: https://doi.org/10.47260/bae/1114
The effects of real exchange rate changes on the sectoral trade balance have received limited consideration in the empirical literature. We examine services trade and the dynamics of Canada’s bilateral trade balance in services with its 53 major trading partners during 1990-2018. We demonstrate a short-run deterioration and a long-term improvement of the services trade balance following depreciation in an aggregate panel as well as sub-panels, hence supporting the J-curve effect hypothesis and satisfying the Marshall-Lerner condition. At the level of individual cross-sections, the evidence was mixed: a number of economies experienced long-term improvement of the trade balance, albeit without short-term deterioration.
J-curve, Panel data, Trade balance, Exchange rate, Services.
Amable, B., and Verspagen, B. 1995. The Role of Technology in Market Shares Dynamics. Applied Economics, 27 (2), 197-204. https://doi.org/10.1080/00036849500000024
Asteriou, Dimitrios, Pilbeam, Keith, and Cecilia Pratiwi, C. 2020. Public Debt and Economic Growth: Panel Data Evidence for Asian Countries. Journal of Economics and Finance, 44, 1-18. https://doi.org/10.1007/s12197-020-09515-7
Bahmani-Oskooee, Mohsen, and Janardhanan Alse. 1994. Short-run versus Long-run Effects of Devaluation: Error-correction Modeling and Cointegration. Eastern Economic Journal, 20 (4), 453-464.
Bahmani-Oskooee, Mohsen, and Taggert Brooks. 1999. Bilateral J-curve between US and her Trading Partners. Weltwirtschaftliches Archiv, 135 (1), 156-165. https://doi.org/10.1007/bf02708163
Bahmani-Oskooee, Mohsen, and Artatrana Ratha. 2004. The J-curve: A Literature Review. Applied Economics, 36 (13), 1377-1398.
Bahmani-Oskooee, Mohsen, and Yomgqing Wang. 2007. The J-curve at the Industry Level: Evidence from Trade between US and Australia. Australian Economic Papers, 46 (4), 315-328. https://doi.org/10.1111/j.1467-8454.2007.00322.x
Bahmani-Oskooee, Mohsen, and Marzieh Bolhasani. 2008. The J-curve: Evidence from Commodity Trade between Canada and the US. Journal of Economics and Finance, 32 (3), 207-225. https://doi.org/10.1007/s12197-007-9024-0
Bahmani-Oskooee, Mohsen, Goswami, Gour, and Bidyut Talukdar. 2008. The Bilateral J-curve: Canada versus her 20 Trading Partners. International Review of Applied Economics, 22 (1), 93-104. https://doi.org/10.1080/02692170701745952
Bahmani-Oskooee, Mohsen, and Hanafiah Harvey. 2017. The Asymmetric Effects of Exchange Rate Changes on the Trade Balance of Singapore. Global Economy Journal, 17 (4), 1-11. https://doi.org/10.1515/gej-2017-0055
Bahmani-Oskooee, Mohsen, and Hadiseh Fariditavana. 2019. Asymmetric Cointegration and the J-curve: New Evidence from Commodity Trade between the US and Canada. International Economics and Economic Policy, 17 (2), 427-482. https://doi.org/10.1007/s10368-019-00447-0
Barras, Richard. 1990. Interactive Innovation in Financial and Business Services: The Vanguard of the Services Revolution. Research Policy, 19 (3), 215-237. https://doi.org/10.1016/0048-7333(90)90037-7
Bosupeng, M., Naranpanawa, A., and Su, J.-J. 2024. Does Exchange Rate Volatility Affect the Impact of Appreciation and Depreciation on the Trade Balance? A Nonlinear Bivariate Approach. Economic Modelling, 130 (C), 1-21. https://doi.org/10.1016/j.econmod.2023.106592
Breitung, Jorg. 2000. The Local Power of Some Unit Root Tests for Panel Data. In Nonstationary Panels, Panel Cointegration, and Dynamic Panels, Advances in Econometrics, Vol. 15, edited by Badi Baltagi, 161-178. Amsterdam: JAI.
Calderon, C., Chong, A., and Loayza, N. 1999. Determinants of Current Accounts Deficits in Developing Countries. Central Bank of Chile, Working Paper No. 51.
Cheng, K. 2020. Currency Devaluation and Trade Balance: Evidence from the US Services Trade. Journal of Policy Modeling, 42 (1), 20-37. https://doi.org/10.1016/j.jpolmod.2019.09.005
Chinn, M., and Prasad, E. 2003. Medium-term Determinants of Current Accounts in Industrial and Developing Countries: An Empirical Exploration. Journal of International Economics. 59 (1), 47-76. https://doi.org/10.3386/w7581
Choi, In. 2001. Unit Root Tests for Panel Data. Journal of International Money and Finance, 20 (2), 249-272.
Chrystal, Alec, and Geoffrey Wood. 1988. Are Trade Deficits a Problem? Federal Reserve Bank of St. Louis Review, 70 (1), 3-11.
Chudik, Alexander, and M. Hashem Pesaran. 2013. Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors. CESifo Working Paper No. 4232.
Debelle, G., and Faruqee, H. 1996. What Determines the Current Account? A Cross-Section and Panel Approach. IMF Working Paper No. 1996/058.
De Hoyos, Rafael, and Vasilis Sarafidis. 2006. Testing for Cross-sectional Dependence in Panel Data Models. The Stata Journal, 6 (4), 482-496.
Demirden, Tuvana, and Ivan Pastine. 1995. Flexible Exchange Rates and the J-curve: An Alternative Approach. Economics Letters, 48 (3-4), 373-377. https://doi.org/10.1016/0165-1765(94)00634-e
Diaz-Alejandro, C. 1963. A Note on the Impact of Devaluation and the Redistributive Effect. Journal of Political Economy, 71 (6), 577-80.
Eberhardt, Markus. 2012. Estimating Panel Time-series Models with Heterogeneous Slopes. The Stata Journal, 12 (1), 61-71. https://doi.org/10.1177/1536867x1201200105
Eberhardt, Markus, and Francis Teal. 2010. Productivity Analysis in Global Manufacturing Production. University of Oxford Department of Economics Discussion Paper No. 515.
Feldstein, Martin. 1986. The Budget Deficit and the Dollar. In NBER Macroeconomics Annual, edited by Stanley Fisher. Cambridge: MIT Press.
Guptar-Kapoor, Anju, and Uma Ramakrishnan. 1999. Is There a J-curve: A New Estimation for Japan. International Economic Journal, 13 (4), 71-79. https://doi.org/10.1080/10168739900080029
Gylfason, Thorvaldur, and Michael Schmid. 1983. Does Devaluation Cause Stagflation? Canadian Journal of Economics, 16 (4), 641-654. https://doi.org/10.2307/135045
Gylfason, Thorvaldur, and Ole Risager. 1984. Does Devaluation Improve the Current Account? European Economic Review, 25 (1), 37-64. https://doi.org/10.1016/0014-2921(84)90070-9
Im, Kyung, Pesaran, M. Hashem, and Yongcheol Shin. 2003. Testing for Unit Roots in Heterogeneous Panels. Journal of Econometrics, 115 (1), 53-74. https://doi.org/10.1016/j.jeconom.2023.01.022
Junz, Helen, and Rudolf Rhomberg. 1973. Price Competitiveness and Export Trade among Industrial Countries. American Economic Review, Papers and Proceedings, 63 (2), 412-418. https://doi.org/10.17016/ifdp.1973.22
Kao, Chihwa. 1999. Spurious Regression and Residual-based Tests for Cointegration in Panel Data. Journal of Econometrics, 90 (1), 1-44. https://doi.org/10.1016/s0304-4076(98)00023-2
Kapetanios, George, Pesaran, M. Hashem, and Takashi Yamagata. 2011. Panels with Non-stationary Multifactor Error Structures. Journal of Econometrics, 160 (2), 326-348. https://doi.org/10.1016/j.jeconom.2010.10.001
Kaya, Ahmet. 2021. Real Exchange Rate and Trade Balance in Turkey: Evidence from Heterogeneous Panel Data. Panoeconomicus, 68 (5), 1-23. https://doi.org/10.2298/pan161208007k
Kremers, Jeroen, Ericson, Neil, and Juan Dolado. 1992. The Power of Cointegration Tests. Oxford Bulletin of Economics and Statistics, 54 (3), 325-347.
Krugman, Paul, and Richard Baldwin. 1987. The Persistence of the US Trade Deficit. Brookings Papers on Economic Activity, 18 (1), 1-56.
Kuznets, Simon. 1971. Economic Growth of Nations - Total Output and Production Structure. Cambridge: Harvard University Press.
Lee, Jaewoo, and Menzie Chinn. 2006. Current Account and Real Exchange Rate Dynamics in the G7 Countries. Journal of International Money and Finance, 25 (2), 257-274. https://doi.org/10.1016/j.jimonfin.2005.11.002
Levin, Andrew, Lin, Chien-Fu, and Chia-Shang Chu. 2002. Unit Root Tests in Panel Data: Asymptotic and Finite-sample Properties. Journal of Econometrics, 108 (1), 1-24. https://doi.org/10.1016/s0304-4076(01)00098-7
Maddala, Gangadharrao, and Shaowen Wu. 1999. A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test. Oxford Bulletin of Economics and Statistics, 61 (S1), 631-652. https://doi.org/10.1111/1468-0084.0610s1631
Magee, Stephen. 1973. Currency Contracts, Pass-through, and Devaluation. Brookings Papers on Economic Activity, 1, 303-325. https://doi.org/10.2307/2534091
Marquez, Jaime. 1990. “Bilateral Trade Elasticities.” The Review of Economics and Statistics, 72 (1), 70-77. https://doi.org/10.2307/2109741
Marwah, Kanta, and Lawrence Klein. 1996. Estimation of J-curves: United States and Canada. The Canadian Journal of Economics, 71 (1), 523-539. https://doi.org/10.2307/136248
Miroudot, Sebastien. 2017. The Restrictiveness of Canada’s Services Trade Policy in an International Context. In Redesigning Canadian Trade Policies for New Global Realities, Vol. 6, edited by Tapp, Stephen, Assche, Ari, and Robert Wolfe. Montreal: Institute for Research on Public Policy.
Nordas, Hildegunn, and Dorothee Rouzet. 2015. The Impact of Services Trade Restrictiveness on Trade Flows: First Estimates. OECD Trade Policy Paper No. 178. Paris: OECD Publishing.
OECD 2018. Trade in Value Added: Canada. OECD Country Notes. Paris: OECD Publishing.
Pedroni, Peter. 2004. Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis. Econometric Theory, 20 (3), 597-625. https://doi.org/10.1017/s0266466604203073
Pesaran, M. Hashem. 2004. General Diagnostic Tests for Cross Section Dependence in Panels. University of Cambridge, Faculty of Economics Working Paper no. 0435.
Pesaran, M. Hashem. 2006. Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74 (4), 967-1012. https://doi.org/10.1111/j.1468-0262.2006.00692.x
Pesaran, M. Hashem. 2007. A Simple Panel Unit Root Test in the Presence of Cross Section Dependence. Journal of Applied Econometrics, 22 (2), 265-312. https://doi.org/10.1002/jae.951
Pesaran, M. Hashem. 2015. Testing Weak Cross-sectional Dependence in Large Panels. Econometric Reviews, 34 (6-10), 1089-1117. https://doi.org/10.1080/07474938.2014.956623
Pesaran, M. H. and Ron Smith. 1995. Estimating Long-run Relationships from Dynamic Heterogeneous Panels. Journal of Econometrics, 68(1),79-113.https://doi.org/10.1016/0304-4076(94)01644-f
Pesaran, M. Hashem, Shin, Yongcheol, and Ron Smith. 1999. Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94 (446), 621-634.
Pierdzioch, C. 2002. Capital Mobility, Consumption Substitutability, and the Effectiveness of Monetary Policy in Open Economies. Kiel Institute for World Economics, Kiel Working Paper No. 1110, 1-26.
Prakash, Kushneel, and Dibyendu Maiti. 2016. Does Devaluation Improve Trade Balance in Small Island Economies? The Case of Fiji. Economic Modelling, 55 (C), 382-393. https://doi.org/10.1016/j.econmod.2016.02.023
Rose, Andrew, and Janet Yellen. 1989. Is there a J-curve? Journal of Monetary Economics, 24 (1), 53-68.
Saez, Sebastian, Taglioni, Daria, Van Der Marel, Erik, Hollweg, Claire, and Veronika Zavacka, V. 2015. Valuing Services in Trade: A Toolkit for Competitiveness. Washington: World Bank.
Savoie-Chabot, L., and Khan, M. 2015. Exchange Rate Pass-Through to Consumer Prices: Theory and Recent Evidence. Bank of Canada Discussion Paper 2015-9.
Van Der Marel, Erik. 2017. The Potential to Enhance Canada’s Services Trade in CETA, TPP and TiSA. In Redesigning Canadian Trade Policies for New Global Realities, Vol. 6, edited by Tapp, Stephen, Assche, Ari, and Robert Wolfe. Montreal: Institute for Research on Public Policy.
Vieira, F., and MacDonald, R. 2020. The Role of Exchange Rate for Current Account: A Panel Data Analysis. EconomiA, 21, 57-72. https://doi.org/10.1016/j.econ.2020.05.002
Westerlund, Joakim. 2007. Testing for Error Correction in Panel Data. Oxford Bulletin of Economics and Statistics, 69 (6), 709-748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
Wijeweera, Albert and Brian Dollery. 2013. J-curve Disparity between the Goods Sector and the Service Sector: Evidence from Australia. Applied Economics Letters, 20 (5), 452-456. https://doi.org/10.1080/13504851.2012.707765
Xu, J., Bahmani-Oskooee, M., and Karamelikli, H. 2022. China’s Trade in Services and Role of the Exchange Rate: An Asymmetric Analysis. Economic Analysis and Policy, 74 (C), 747-757. https://doi.org/10.1016/j.eap.2022.04.006.