How New Economic Geography Explains Provincial Wage Disparities: Generalised Methods of Moments Approach
DOI:
https://doi.org/10.17059/2019-1-16Ключевые слова:
New Economic Geography, agglomeration economies, industrial linkages, market access, trade costs, wage equation, living costs, human capital, provincial panel data, generalised method of moments, VietnamАннотация
In recent years, new and promising developments have made new economic geography (NEG) a popular framework for examining the spatial distribution of economic activity around the world. A major NEG prediction is that wages are higher in regions with a large market and easy access to suppliers of intermediate inputs. Based on this principle, we examine this hypothesis by using provincial data in Vietnam. Since the Doi Moi reform in 1986, the Vietnamese economy has successfully transformed from a centrally planned to a market-based economy. The Vietnamese experience has been seen as a valuable case study for other economies in transition. This paper estimates a structural model of NEG using Vietnamese provinces data for the period 2000 - 2012. Using instrumental variables based on the principle of generalised method of moments (GMM), we take account of potential endogeneity problem between regressors. We provide evidence that the industrial linkages and trade costs are statistically significant and quantitatively important in explaining variation in provincial wages. This finding is robust to controlling for a wide range of considerations. Moreover, local governments need to strengthen human capital as the first step towards improving average wages. Indeed, a better education system is not only instrumental to raising average earnings per worker, but also crucial for minimizing income inequality in the long run.Библиографические ссылки
Krugman, P. (1991). Increasing Returns and Economic Geography. Journal of Political Economy, 99(3), 483-499.
Fujita, M., P. Krugman, and A. J. Venables (1999). The Spatial Economy: Cities, Regions, and International Trade. The United States of America: The MIT Press, Cambridge, Massachussets, 70.
Baldwin, R., et al. (2003). Economic Geography and Public Policy. Princeton, New Jersey, United States of America: Princeton University Press, 59.
Head, K. and T. Mayer (2004). The Empirics of Agglomeration and Trade, Handbook of Regional and Urban Economics, 2609-2669.
Redding, S. J. (2010). The Empirics of New Economic Geography. Journal of Regional Science, 50(1), 297-311.
Redding, S. and A. J. Venables (2004). Economic Geography and International Inequality. Journal of International Economics, 62, 53-82.
Hanson, G. H. (2005). Market Potential, Increasing Return, and Geographic Concentration. Journal of International Economics, 67, 1-24.
Steven, B., G. Harry, and S. Marc (2004). The Spatial Distribution of Wages: Estimating the Helpman-Hanson Model for Germany. Journal of Regional Science, 44(3), 437-466.
Ma, A. C. (2006). Geographical location of foreign direct investment and wage inequality in China. World Economy, 29(8), 1031-1055.
Golley, J. (2007). China’s western development strategy and nature versus nurture. Journal of Chinese Economic and Business Studies, 5(2), 115-129.
Amiti, M. and L. Cameron (2007). Economic Geography and Wages. The Review of Economics and Statistics, 89(1), 15-29.
Fally, T., R. Paillacar, and C. Terra (2010). Economic geography and wages in Brazil: Evidence from micro-data. Journal of Development Economics, 91(1), 155-168.
Helpman, E. (1998). The Size of Regions, In D. Pines, E. Sadka, and I.Zilcha (eds.), Topics in Public Economics: Theoretical and Applied Analysis, Cambridge: Cambridge University Press, 21.
Krugman, P. and A.J. Venables (1995). Globalization and the Inequality of Nations. The Quarterly Journal of Economics, 110(4), 857-880.
Fujita, M. and J.-F. Thisse (1996). Economics of Agglomeration. Journal of the Japanese and International Economies, 10, 339-378.
Baldwin, R., et al. (2003). The core-periphery model: Key features and effects. The Monopolistic Competition Revolution in Retrospect, 213-235.
Ottaviano, G.I., T. Tabuchi, and J.-F. Thisse (2002). Agglomeration and trade revisited. International Economic Review, 43, 409-436.
Puga, D. (1999). The rise and fall of regional inequalities. European Economic Review, 43(2), 303-334.
Head, K. and T. Mayer (2006). Regional wage and employment responses to market potential in the EU. Regional Science and Urban Economics, 36(5), 573-594.
Cheng, L. K. and Y. K. Kwan (2000). What are the determinants of location of foreign direct investment? The Chinese experience. /ournal of International Economics, 51(2), 379-400.
Sun, Q., W. Tong, and Q. Yu (2002). Determinants of foreign direct investment across China. /ournal of International Money and Finance, 21(1), 79-113.
Agiomirgianakis, G., D. Asteriou, and K. Papathoma (2006). The Determinants of foreign Direct Investment: A Panel Data Study for the OECD Countries. Department of Economics: School of Social Sciences, City University London [Electronic source] Retrieved from http://openaccess.city.ac.uk/id/eprint/1420 (Date of access: 11.01.2018).
Hilber, C. A. L. and I. Voicu (2010). Agglomeration Economies and the Location of Foreign Direct Investment: Empirical Evidence from Romania. Regional Studies, 44(3), 355-371.
Phung, D. T. and N. Phong (2006). Vietnam household living standard survey (VHLSS), 2002 and 2004: Basic information. Hanoi: General Statistics Office, [Electronic source]. Retrieved from http://microdata.worldbank.org/index. php/catalog/2306 (Date of access: 28/07/2018).
Glewwe, P. (2005). Procedure for calculating nominal and real expenditures, and poverty indicators, for the 2002 Viet Nam Household Living Standards Survey (VHLSS). University of Minnesota, Twin Cities, June, 2003. 13, 17-25.
Aitken, B., A. Harrison, and R.E. Lipsey (1996). Wages and foreign ownership - A comparative study of Mexico, Venezuela, and the United States. /ournal of International Economics, 40(3-4), 345-371.
Combes, P.-P. (2011). The empirics of economic geography: how to draw policy implications? Review of World Economics, 147(3), 567-592.
Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge, Massachusetts, London, england: The MIT Press, 29.
Anderson, T. W. and C. Hsiao (1982). Formulation and estimation of dynamic models using panel data. /ournal of Econometrics, 18(1), 47-82.
Hansen, L. P. (1982). Large sample properties of generalized method of moments estimators. Econemetrica, 50(4), 1029-1054.
Baum, C. F. and M. E. Schaffer (2003). Instrumental variables and GMM: Estimation and testing. The Stata Journal, 3(1), p. 1-31.
Baum, C. F., M. E. Schaffer, and S. Stillman (2007). Enhanced routines for instrumental variables / GMM estimation and testing. The Stata /ournal, 7(4), 465-506.
Roodman, D. (2009). A Note on the Theme of Too Many Instruments. Oxford Bulletin of Economics and Statistics, 71(1), 135-158.
Fay III, R. E. and R. A. Herriot (1979). Estimates of income for small places: an application of James-Stein procedures to census data. /ournal of the American Statistical Association, 74(366a), 269-277.
Betti, G. and A. Lemmi, Advances on income inequality and concentration measures. 2008, Routledge, 368.
Wooldridge, J. M. (2009). Introductory Econometrics: A Modern Approach. the United States of America: SouthWestern Cengage Learning. 49.
Gujarati, D. N. (2003). Basic Econometrics. New York: McGraw-Hill Higher Education, 15.
GSO Report on the 2011 Vietnam Labour Force Survey. (2012) [Electronic source]. Retrieved from https://www.gso. gov.vn/default_en.aspx?tabid=515&idmid=5&ItemID=12541 (Date of access: 08/09/2016).
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Copyright (c) 2019 Hien Thanh Hoang, Linh T. D. Huynh, George S. Chen

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