The linkage between international trade and economic growth in Kazakhstan
DOI:
https://doi.org/10.15549/jeecar.v9i6.1019Keywords:
international trade, economic growth, Kazakhstan, stationarity, Auto–Regressive Distributed Lag(ARDL) ModelAbstract
Increased international trade flows and reduced trade restrictions have sparked ongoing debate and discussion about the influence of international trade on economic progress. Based on the empirical evaluation, the paper investigates the impact of trade openness on Kazakhstan's economic growth in a multivariate framework. It includes investment, international trade, labour force, human capital, and natural resource as explanatory constructs when gross domestic product per capita is the regressand variable. This research aims to assess the long-term relationship between trade and income development in Kazakhstan from 1992 to 2020. The Phillips and Perron (1988) and augmented Dickey and Fuller (1981) tests are used to check data stationarity. The bound test shows that the concerned variables have a long-term relationship. The results conclude that trade negatively impacts growth in the short and long run. While capital formation, labour quantity, quality, and natural resources positively affect the development of Kazakhstan's economy. This negative impact of trade on growth could be attributed to the country's shortage of good institutions and inefficient management, economic structure, and development policies. Also, it could be due to the substantial negative impact of imports countering the positive effect of exports.
References
Abubakar, A.B., & Shehu, K.K. (2015). An appraisal of the impact of international trade on the economic growth of India: An ARDL approach. Annamalai Journal of Management, Special Issue April 2015.30-35.
Ageli, M. (2022). Asymmetric Link between Unemployment, Inflation and GDP growth rate in the United Kingdom Economy: An ARDL Bounds Approach. Studies of Applied Economics, 40(2). DOI: https://doi.org/10.25115/eea.v40i2.7841
Alsamara, M., Mrabet, Z., Barkat, K., & Elafif, M. (2019). The impacts of trade and financial developments on economic growth in Turkey: ARDL approach with a structural break. Emerging Markets Finance and Trade, 55(8), 1671-1680. DOI: https://doi.org/10.1080/1540496X.2018.1521800
Ajmair, M., Gilal, M. A., Farooq, S., & Hussain, K. (2018). Factors determining economic growth in Pakistan: An ARDL bound testing with general to specific approach. Pakistan Journal of Applied Economics, 28(1).
Ali, W., & Abdullah, A. (2015). The impact of trade openness on the economic growth of Pakistan: 1980-2010. Global Business & Management Research, 7(2).
Ahuja, H. L. (2011). Macroeconomics. S. Chand Publishing.
Asian Development Bank (2014). Connecting Central Asia with Economic Centers. Asian Development Bank Institute. https://www.adb.org/sites/default/files/publication/159307/adbi-connecting-central-asia-economic-centers-final-report.pdf
Asteriou, D., & Hall, S. G. (2015). Applied econometrics. Macmillan International Higher Education.24. DOI: https://doi.org/10.1057/978-1-137-41547-9
Barro, R. J., & Lee, J. W. (2013). A new data set of educational attainment in the world, 1950–2010. Journal of development economics, 104, 184-198. DOI: https://doi.org/10.1016/j.jdeveco.2012.10.001
Bhat, J. A., Imtiyazul Haq, Bhat, S. A., & Megits , N. (2022). Employment elasticity of output growth in Kazakhstan economy: Recent evidence from a macroeconomic perspective. Journal of Eastern European and Central Asian Research (JEECAR), 9(2), 369-384. https://doi.org/10.15549/jeecar.v9i2.852 DOI: https://doi.org/10.15549/jeecar.v9i2.852
Çetinta?, H., &Bari?ik, S. (2009). Export, import and economic growth: The case of transition economies. Transition Studies Review, 15(4), 636-649. DOI: https://doi.org/10.1007/s11300-008-0043-0
Daumal, M. (2010). The impact of international trade flows on economic growth in Brazilian states. Review of Economics and Institutions, 2(1). DOI: https://doi.org/10.5202/rei.v2i1.27
Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for auto regressive time series with a unit root. Econometrica: journal of the Econometric Society, 1057-1072. DOI: https://doi.org/10.2307/1912517
Dowling, M., &Wignaraja, G. (2006). Central Asia's economy: Mapping future prospects to 2015.Economics and Research Department. ERD Working Paper, Series no 80.
Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276. DOI: https://doi.org/10.2307/1913236
Ghouse, G., Khan, S. A., & Rehman, A. U. (2018). ARDL model as a remedy for spurious regression: Problems, performance and prospectus. MPRA Paper 83973, University Library of Munich, Germany.
Grossman, G. M., & Helpman, E. (1990). Trade, innovation, and growth. The American Economic Review, 80(2), 86-91.
Gujarati, D.N., Porter, D.C., & Gunasekar, S. (2012). Basic econometrics. Tata McGraw-hill Education, New York.
Hansen, B. E. (1991). A comparison of tests for parameter instability: An examination of asymptotic local power. University of Rochester.Comparison.pdf (wisc.edu).
Hye, Q. M. A. (2012). Exports, imports and economic growth in China: an ARDL analysis. Journal of Chinese Economic and Foreign Trade Studies.
Erkisi, K., & Ceyhan, T. (2019). Trade liberalization and economic growth: A panel data analysis for transition economies in Europe. Journal of Economics Finance and Accounting, 6(2), 82-94. DOI: https://doi.org/10.17261/Pressacademia.2019.1047
Ishnazarov, D. (2015). Trade openness impact on economic growth in Central Asia. LAP LAMBERT Academic Publishing.
Jenish, N. (2013). Regional trade and economic growth in the CIS region. University of Central Asia–Institute of Public Policy and Administration (IPPA) Working Paper, (13). DOI: https://doi.org/10.2139/ssrn.2943872
Johansen, S., & Juselius, K. (1988). Hypothesis testing for cointegration vectors: With application to the demand for money in Denmark and Finland (No. 88-05).
Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration—with appucations to the demand for money. Oxford Bulletin of Economics and statistics, 52(2), 169-210. DOI: https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x
Kim, D. H., & Lin, S. C. (2009). Trade and growth at different stages of economic development. Journal of Development Studies, 45(8), 1211-1224. DOI: https://doi.org/10.1080/00220380902862937
Kong, Q., Peng, D., Ni, Y., Jiang, X., & Wang, Z. (2021). Trade openness and economic growth quality of China: Empirical analysis using ARDL model. Finance Research Letters, 38, 101488. DOI: https://doi.org/10.1016/j.frl.2020.101488
Md Reza, S., Fan, H., Wang, B., Bhuiyan, M. A., & KM Mehedi, A. (2019). Trade (exports) as an opportunity for Bangladesh: A VECM analysis. The International Trade Journal, 33(1), 95-110. DOI: https://doi.org/10.1080/08853908.2018.1511489
Mogilevskii, R. (2012). Trends and patterns in foreign trade of Central Asian countries. University of Central Asia, Institute of Public Policy and Administration, Working Paper, (1). DOI: https://doi.org/10.2139/ssrn.3023165
Mohapatra, G., Giri, A. K., & Sehrawat, M. (2016). Foreign aid, macroeconomic policies and economic growth nexus in India: An ARDL bounds testing approach. Theoretical & Applied Economics, 23(4).
Narayan, P., & Smyth, R. (2005). Trade liberalization and economic growth in Fiji. An empirical assessment using the ARDL approach.Journal of the Asia Pacific Economy DOI: https://doi.org/10.1080/1354786042000309099
Volume 10.
Nkoro, E., &Uko, A. K. (2016). Autoregressive Distributed Lag (ARDL) cointegration technique: Application and interpretation. Journal of Statistical and Econometric methods, 5(4), 63-91.
Odhiambo, N. M. (2009). Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach. Energy policy, 37(2), 617-622. DOI: https://doi.org/10.1016/j.enpol.2008.09.077
Petrakos, G., Arvanitidis, P., & Pavleas, S. (2007, March). Determinants of economic growth: The experts' view. In 2nd Workshop of DYNREG in Athens 2(1), 9-10.
Pesaran, M. H., & Shin, Y. (1995). An autoregressive distributed lag modelling approach to cointegration analysis.
Pesaran, M. Hashem, Yongcheol Shin, and Richard J. Smith. 2001. "Bounds testing approaches
to the analysis of level relationships." Journal of applied econometrics 16, no. 3: 289-326.
Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. DOI: https://doi.org/10.1093/biomet/75.2.335
Salvatore, D. (2016). International economics. Hoboken, NJ: John Wiley and Sons, Inc.
Sari, R., Ewing, B. T., & Soytas, U. (2008). The relationship between disaggregate energy consumption and industrial production in the United States: An ARDL approach. Energy Economics, 30(5), 2302-2313. DOI: https://doi.org/10.1016/j.eneco.2007.10.002
Singh, A. K. (2013). Do the FDI, economic growth and trade affect each other for India: An ARDL approach. Social Science Research Network.https://mpra.ub.uni-muenchen.de/id/eprint/51447 DOI: https://doi.org/10.2139/ssrn.2352432
Sulaiman, C., & Abdul-Rahim, A. S. (2018). Population growth and CO2 emission in Nigeria: a recursive ARDL approach. Sage Open, 8(2), 2158244018765916. DOI: https://doi.org/10.1177/2158244018765916
World Bank Database. 2022. World Development Indicators | DataBank (worldbank.org)
Yasmin, T., El Refae, G. A., & Eletter, S. (2020). Oil price and urgency towards economic diversification through effective reforms and policies in Caspian Basin. Journal of Eastern European and Central Asian Research (JEECAR), 7(3), 305-315. https://doi.org/10.15549/jeecar.v7i3.326 DOI: https://doi.org/10.15549/jeecar.v7i3.326
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