| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor.author | Nguyen, Khac Minh | |
| dc.contributor.other | Pham, Anh Tuan | |
| dc.contributor.other | Nguyen, Viet Hung | |
| dc.date.accessioned | 2023-11-01T10:24:27Z | - |
| dc.date.available | 2023-11-01T10:24:27Z | - |
| dc.date.issued | 2015 | |
| dc.identifier.isbn | 1859-0020 | |
| dc.identifier.uri | https://dlib.neu.edu.vn/handle/NEU/58707 | - |
| dc.description | labor economics | |
| dc.description.abstract | This paper employs the spatial econometric approach to undertake a research of labor productivity convergence of the industrial sector among sixty provinces in Vietnam in the period 1998-2011. It is shown that the assumption of the independence among spatial units (provinces in this case) is unrealistic, being in contrast to the evidence of the data reflecting the spatial interaction and the existence of spatial lag and errors. Therefore, neglecting the spatial nature of data can lead to a misspecification of the model. We decompose the sample data into the subperiods 1998-2002 and 2003-2011 for the analysis. Different tests point out that the spatial lag model is appropriate for the whole period of the sample data (1998-2011) and the sub-period (2003-2011), therefore, we employ the maximum likelihood procedure to estimate the spatial lag model. The estimation results allow us to recognize that the convergence model without a spatial lag variable and using ordinary least square to estimate has the problem of omitting variables, which will have impact on the estimated measure of convergence speed. And this problem dominates the positive effect of factors such as mobilizing factors, trade relation, and knowledge spillover in the regional scope | |
| dc.description.tableofcontents | 1. Introduction; 2. Theoretical framework; 3. Empirical results; 4. Conclusion | |
| dc.format.extent | Khổ 21 x 29.7 | |
| dc.language.iso | en | |
| dc.publisher | Kinh Tế Quốc Dân | |
| dc.subject | Spatial econometric | |
| dc.subject | spatial weight matrix | |
| dc.subject | spatial lag model | |
| dc.subject | spatial error model | |
| dc.subject | I-Moran index. | |
| dc.title | Using the Spatial Econometric Approach to Analyze Convergence of Labor Productivity at the Provincial Level in Vietnam | |
| dc.type | Journal of Economics and Development | |
| dc.identifier.barcode | Article 1_JED_Vol 17_Number 1 | |
| dc.relation.reference | Abramovitz M. (1986), ‘Catching up Forging Ahead and Falling Behind’, Journal of Economic History, Vol. 46, pp. 385-406. Anselin L. and Bera A.K. (1998), ‘Spatial dependence in linear regression models with an introduction to spatial econometrics’, in Hullah A. and D.E.A. Gelis (eds.) Handbook of Applied Economic Statistics, Marcel Deker, New York, pp. 237-290. Anselin L. (1988), Spatial Econometrics: Methods and Models, Kluwer Academic Publishers, Dordrecht. Anselin L. and Rey S.J. (1991), ‘Properties of test for spatial dependence’, Geographical Analysis, Vol. 23, pp. 112-131. Anselin L., Bera A., Florax R., and Yoon M. J. (1996), Simple diagnostic tests for spatial dependence, IDEAS. Anselin, L. (1995), ‘Local Indicators of Spatial Association – LISA’, Geographical Analysis, Vol. 27, Issue 2, pp. 93-115. Anselin, L. and Florax, R. (Eds.) (1995), New Directions in Spatial Econometrics, Berlin: Springer. Arbia G. and Basile R. (2005), Spatial Dependence and Non-linearities in Regional Growth Behaviour in Italy, Statistica. Barro R.J. and Sala-i-Martin X. (1992), ‘Convergence’, Journal of Political Economy, Vol. 100, pp. 223-251. Barro R.J. and Sala-i-Martin X. (1995), Economic Growth, McGraw Hill, New York. Barro R.J. and Sala-i-Martin X. (1997), ‘Technological diffusion, convergence and growth’, Journal of Economic Growth, Vol. 2, pp. 1-16. Barro, Robert J. and Xavier Sala-i-Martin (1991), ‘Convergence Across States and Regions’, Brookings Papers on Economic Activity, pp. 107-182. Baumol, William J. (1986), ‘Productivity Growth, Convergence, and Welfare: What the LongRun Data Show’, American Economic Review, Vol. 76, pp.1072-1085. Cliff, A. and Ord, J. (1973), Spatial Autocorrelation, London: Pion. Gerschenkron, A. (1952), ‘Economic Backwardness in Historical Perspective’, In The Progress of Underdeveloped Areas, ed. Bert F.Hoselitz, Chicago: University of Chicago Press. Getis, A., and J. K. Ord (1992), ‘The Analysis of Spatial Association by Use of Distance Statistics’, Geogmphicd Analysis, Vol. 24 (July), pp. 189-206. Grossman, G. M. and Helpman, E. (1991), Innovation and Growth in the Global Economy, Cambridge MA: MIT Press. Hosono, Kaoru. and Hideki Toya (2000), ‘Regional Income Convergence in the Philippines’, Discussion Paper No. D99-22, Institute of Economic Research, Hitotsubashi University, February 2000. Koo, Bon Cheon. (1998), The Economic Analysis of Corporate Exit and the Reform Proposals (in Korean), Seoul: Korea Development Institute. Le Gallo J., Ertur C., and Baoumont C. (2003), ‘A spatial Econometric Analysis of Convergence Across European Regions, 1980-1995’, in Fingleton, B (ed.), European Regional Growth, Springer-Verlag (Advances in Spatial Sciences), Berlin. Magrini S. (2003), ‘Regional (Di)Convergence’, in V. Henderson and J.F., Thisse (eds.), Handbook of Regional and Urban Economics, Volume 4. Mankiw N.G., Romer D. and Weil D.N. (1992), ‘A contribution to the empirics of economic growth’, Quarterly Journal of economic, Vol. 107, pp. 407-437. Nelson, R. R. and Phelps, E. S. (1966), ‘Investment in Humans, Technological Diffusion, and Economic Growth’, American Economic Review, Vol. 56, No.2, pp. 69-75. Niebuhr, A. (2001), ‘Convergence and the Effects of Spatial Interaction’, Jahrbuch für Regionalwissenschaft, Vol. 21, No. 2, pp. 113-133. Rey S. J. and Montuori, B. D. (1999), ‘US Regional Income Convergence: A Spatial Econometric Perspective’, Regional Studies, Vol. 33, No.2, pp. 143-156. Segerstrom, P. S. (1991), ‘Innovation, Imitation, and Economic Growth’, Journal of Political Economy, Vol. 99, No.4, pp. 807-827. | |
Bộ sưu tập | 02. Tạp chí (Tiếng Anh) | |
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| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor.author | Nguyen, Khac Minh | |
| dc.contributor.other | Pham, Anh Tuan | |
| dc.contributor.other | Nguyen, Viet Hung | |
| dc.date.accessioned | 2023-11-01T10:24:27Z | - |
| dc.date.available | 2023-11-01T10:24:27Z | - |
| dc.date.issued | 2015 | |
| dc.identifier.isbn | 1859-0020 | |
| dc.identifier.uri | https://dlib.neu.edu.vn/handle/NEU/58707 | - |
| dc.description | labor economics | |
| dc.description.abstract | This paper employs the spatial econometric approach to undertake a research of labor productivity convergence of the industrial sector among sixty provinces in Vietnam in the period 1998-2011. It is shown that the assumption of the independence among spatial units (provinces in this case) is unrealistic, being in contrast to the evidence of the data reflecting the spatial interaction and the existence of spatial lag and errors. Therefore, neglecting the spatial nature of data can lead to a misspecification of the model. We decompose the sample data into the subperiods 1998-2002 and 2003-2011 for the analysis. Different tests point out that the spatial lag model is appropriate for the whole period of the sample data (1998-2011) and the sub-period (2003-2011), therefore, we employ the maximum likelihood procedure to estimate the spatial lag model. The estimation results allow us to recognize that the convergence model without a spatial lag variable and using ordinary least square to estimate has the problem of omitting variables, which will have impact on the estimated measure of convergence speed. And this problem dominates the positive effect of factors such as mobilizing factors, trade relation, and knowledge spillover in the regional scope | |
| dc.description.tableofcontents | 1. Introduction; 2. Theoretical framework; 3. Empirical results; 4. Conclusion | |
| dc.format.extent | Khổ 21 x 29.7 | |
| dc.language.iso | en | |
| dc.publisher | Kinh Tế Quốc Dân | |
| dc.subject | Spatial econometric | |
| dc.subject | spatial weight matrix | |
| dc.subject | spatial lag model | |
| dc.subject | spatial error model | |
| dc.subject | I-Moran index. | |
| dc.title | Using the Spatial Econometric Approach to Analyze Convergence of Labor Productivity at the Provincial Level in Vietnam | |
| dc.type | Journal of Economics and Development | |
| dc.identifier.barcode | Article 1_JED_Vol 17_Number 1 | |
| dc.relation.reference | Abramovitz M. (1986), ‘Catching up Forging Ahead and Falling Behind’, Journal of Economic History, Vol. 46, pp. 385-406. Anselin L. and Bera A.K. (1998), ‘Spatial dependence in linear regression models with an introduction to spatial econometrics’, in Hullah A. and D.E.A. Gelis (eds.) Handbook of Applied Economic Statistics, Marcel Deker, New York, pp. 237-290. Anselin L. (1988), Spatial Econometrics: Methods and Models, Kluwer Academic Publishers, Dordrecht. Anselin L. and Rey S.J. (1991), ‘Properties of test for spatial dependence’, Geographical Analysis, Vol. 23, pp. 112-131. Anselin L., Bera A., Florax R., and Yoon M. J. (1996), Simple diagnostic tests for spatial dependence, IDEAS. Anselin, L. (1995), ‘Local Indicators of Spatial Association – LISA’, Geographical Analysis, Vol. 27, Issue 2, pp. 93-115. Anselin, L. and Florax, R. (Eds.) (1995), New Directions in Spatial Econometrics, Berlin: Springer. Arbia G. and Basile R. (2005), Spatial Dependence and Non-linearities in Regional Growth Behaviour in Italy, Statistica. Barro R.J. and Sala-i-Martin X. (1992), ‘Convergence’, Journal of Political Economy, Vol. 100, pp. 223-251. Barro R.J. and Sala-i-Martin X. (1995), Economic Growth, McGraw Hill, New York. Barro R.J. and Sala-i-Martin X. (1997), ‘Technological diffusion, convergence and growth’, Journal of Economic Growth, Vol. 2, pp. 1-16. Barro, Robert J. and Xavier Sala-i-Martin (1991), ‘Convergence Across States and Regions’, Brookings Papers on Economic Activity, pp. 107-182. Baumol, William J. (1986), ‘Productivity Growth, Convergence, and Welfare: What the LongRun Data Show’, American Economic Review, Vol. 76, pp.1072-1085. Cliff, A. and Ord, J. (1973), Spatial Autocorrelation, London: Pion. Gerschenkron, A. (1952), ‘Economic Backwardness in Historical Perspective’, In The Progress of Underdeveloped Areas, ed. Bert F.Hoselitz, Chicago: University of Chicago Press. Getis, A., and J. K. Ord (1992), ‘The Analysis of Spatial Association by Use of Distance Statistics’, Geogmphicd Analysis, Vol. 24 (July), pp. 189-206. Grossman, G. M. and Helpman, E. (1991), Innovation and Growth in the Global Economy, Cambridge MA: MIT Press. Hosono, Kaoru. and Hideki Toya (2000), ‘Regional Income Convergence in the Philippines’, Discussion Paper No. D99-22, Institute of Economic Research, Hitotsubashi University, February 2000. Koo, Bon Cheon. (1998), The Economic Analysis of Corporate Exit and the Reform Proposals (in Korean), Seoul: Korea Development Institute. Le Gallo J., Ertur C., and Baoumont C. (2003), ‘A spatial Econometric Analysis of Convergence Across European Regions, 1980-1995’, in Fingleton, B (ed.), European Regional Growth, Springer-Verlag (Advances in Spatial Sciences), Berlin. Magrini S. (2003), ‘Regional (Di)Convergence’, in V. Henderson and J.F., Thisse (eds.), Handbook of Regional and Urban Economics, Volume 4. Mankiw N.G., Romer D. and Weil D.N. (1992), ‘A contribution to the empirics of economic growth’, Quarterly Journal of economic, Vol. 107, pp. 407-437. Nelson, R. R. and Phelps, E. S. (1966), ‘Investment in Humans, Technological Diffusion, and Economic Growth’, American Economic Review, Vol. 56, No.2, pp. 69-75. Niebuhr, A. (2001), ‘Convergence and the Effects of Spatial Interaction’, Jahrbuch für Regionalwissenschaft, Vol. 21, No. 2, pp. 113-133. Rey S. J. and Montuori, B. D. (1999), ‘US Regional Income Convergence: A Spatial Econometric Perspective’, Regional Studies, Vol. 33, No.2, pp. 143-156. Segerstrom, P. S. (1991), ‘Innovation, Imitation, and Economic Growth’, Journal of Political Economy, Vol. 99, No.4, pp. 807-827. | |
Bộ sưu tập | 02. Tạp chí (Tiếng Anh) | |
