Impact of industrialization on unemployment in 91 countries globally: an approach with modern cointegration and causality techniques

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Leidy Acaro
Karen Iñiguez

Abstract

The industrialized dynamics of the economies has made it possible to reduce unemployment levels and at least control them, so the objective of this research is to define the impact of industrialization on unemployment in 91 countries of the world classified by income levels within the 1990 period. -2016 using panel data and cointegration techniques. Development indicators from the World Bank (2017) were taken. By using the cointegration techniques of Pedroni (1999) and Westerlund (2007), it was found that there is a long- and short-term equilibrium, respectively. When applying the Pedroni (2001) DOLS model, it was found that there is a strength of the cointegration vector in the countries at the individual level, and when using the Pedroni (2001) PDOLS model, it was established that there is a strength of the cointegration vector for each group of countries globally. The results of the Dimietry and Hurlin (2012) causality test indicate that there is two-way causation and one-way causation. The policy implications are focused on the design of adequate and environmentally friendly infrastructures to achieve efficient industrial development in each country and reduce unemployment levels; in addition to carrying out industrial management models that establish a suitable location for the industries in each country.

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How to Cite
Acaro, L., & Iñiguez, K. (2022). Impact of industrialization on unemployment in 91 countries globally: an approach with modern cointegration and causality techniques. Revista Económica, 9(2), 66–78. Retrieved from https://revistas.unl.edu.ec/index.php/economica/article/view/1211
Section
RESEARCH ARTICLES

References

Adom, P. K., y Amuakwa-Mensah, F. (2016). What drives the energy saving role of FDI and industrialization in East Africa? Renewable and Sustainable Energy Reviews, 65, 925-942.

Agnello, L., Castro, V., Jalles, J. T., y Sousa, R. M. (2014). Fiscal adjustments, labour market flexibility and unemployment. Economics Letters, 124(2), 231-235.

Akaike, H. (1974). A new look at the statistical model identification. IEEE transactions on automatic control, 19(6), 716-723

Alsaleh, M., y Abdul-Rahim, A. S. (2018). Determinants of cost efficiency of bioenergy industry: Evidence from EU28 countries. Renewable Energy, 127, 746-762.

Antoci, A., Galeotti, M., y Sordi, S. (2018). Environmental pollution as engine of industrialization. Communications in Nonlinear Science and Numerical Simulation, 58, 262-273.

Antoci, A., Russu, P., Sordi, S., y Ticci, E. (2014). Industrialization and environmental externalities in a Solow-type model. Journal of Economic Dynamics and Control, 47, 211-224.

Azorín, J. D. B. (2017). Output growth thresholds for the creation of employment and the reduction of unemployment: A spatial analysis with panel data from the Spanish provinces, 2000–2011. Regional Science and Urban Economics, 67, 42-49.

Basu, B. (2017). Labor market effects of export processing zones in the presence of unemployment. Economic Modelling, 66, 19-29.

Bhattarai, K. (2016). Unemployment–inflation trade-offs in OECD countries. Economic Modelling, 58, 93-103.

Breitung, J. (2001). The local power of some unit root tests for panel data. In Nonstationary panels, panel cointegration, and dynamic panels (pp. 161-177). Emerald Group Publishing Limited.

Broadberry, S., Campbell, B. M., y Van Leeuwen, B. (2013). When did Britain industrialise? The sectoral distribution of the labour force and labour productivity in Britain, 1381–1851. Explorations in economic history, 50(1), 16-27.

Caggiano, G., Castelnuovo, E., y Figueres, J. M. (2017). Economic policy uncertainty and unemployment in the United States: A nonlinear approach. Economics Letters, 151, 31-34.

Caponi, V. (2017). Public employment policies and regional unemployment differences. Regional Science and Urban Economics, 63, 1-12.

Chen, B. L., Hsu, M., y Lai, C. F. (2016). Relation between growth and unemployment in a model with labor-force participation and adverse labor institutions. Journal of Macroeconomics, 50, 273-292.

Cherniwchan, J. (2012). Economic growth, industrialization, and the environment. Resource and Energy Economics, 34(4), 442-467.

Costantini, V., Crespi, F., y Paglialunga, E. (2017). The Employment Impact Of Private And Public Actions For Energy Efficiency: Evidence From European Industries (No. 0227). Department of Economics-University Roma Tre.

Dickey, D., Fuller, W. A., 1981. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49, 1057-1072.

Donayre, L., y Panovska, I. (2018). US wage growth and nonlinearities: The roles of inflation and unemployment. Economic Modelling, 68, 273-292.

Enders, W., (1995). Applied Econometric Time Series, John Wiley & Sons, Inc., U.S.A.

Fan, S., Yan, J., y Sha, J. (2017). Innovation and economic growth in the mining industry: Evidence from China's listed companies. Resources Policy, 54, 25-42.

Galiani, S., Lamarche, C., Porto, A., y Sosa-Escudero, W. (2005). Persistence and regional disparities in unemployment (Argentina 1980–1997). Regional Science and Urban Economics, 35(4), 375-394.

Granger, C. W. (1988). Causality, cointegration, and control. Journal of Economic Dynamics and Control, 12(2-3), 551-559.

Gui-Diby, S. L., y Renard, M. F. (2015). Foreign direct investment inflows and the industrialization of African countries. World Development, 74, 43-57.

Hafstead, M. A., y Williams, R. C. (2018). Unemployment and environmental regulation in general equilibrium. Journal of Public Economics, 160, 50-65.

Haraguchi, N., Cheng, C. F. C., y Smeets, E. (2017). The importance of manufacturing in economic development: Has this changed?. World Development, 93, 293-315.

Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 1251-1271.

Horvath, J., y Zhong, J. (2018). Unemployment dynamics in emerging countries: Monetary policy and external shocks. Economic Modelling.

Im, K. S., Pesaran, M. H., y Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74.

Jerbashian, V. (2015). The telecommunications industry and economic growth: How the market structure matters. Economic Modelling, 51, 515-523.

Lee, J. W., y McKibbin, W. J. (2018). Service sector productivity and economic growth in Asia. Economic Modelling.

Lévêque, C., y Saleh, M. (2017). Does industrialization affect segregation? Evidence from nineteenth-century Cairo. Explorations in Economic History.

Li, M., Li, C., y Zhang, M. (2018). Exploring the spatial spillover effects of industrialization and urbanization factors on pollutants emissions in China’s Huang-Huai-Hai region. Journal of Cleaner Production.

Liu, X., y Bae, J. (2018). Urbanization and industrialization impact of CO 2 emissions in China. Journal of Cleaner Production, 172, 178-186

Liu, Y., Huang, J., y Zikhali, P. (2016). The bittersweet fruits of industrialization in rural China: The cost of environment and the benefit from off-farm employment. China Economic Review, 38, 1-10.

Maksimović, G., Jović, S., y Jovanović, R. (2017). Economic growth rate management by soft computing approach. Physica A: Statistical Mechanics and its Applications, 465, 520-524.

Mehic, A. (2018). Industrial employment and income inequality: Evidence from panel data. Structural Change and Economic Dynamics, 45, 84-93.

Mohseni, M., y Jouzaryan, F. (2016). Examining the Effects of Inflation and Unemployment on Economic Growth in Iran (1996-2012). Economics and Finance, 36, 381-389.

Neal, T. (2014). Panel cointegration analysis with xtpedroni. Stata Journal, 14(3), 684-692.

Ortego-Marti, V. (2017). Differences in skill loss during unemployment across industries and occupations. Economics Letters, 161, 31-33.

Park, J. I., y Lee, S. (2017). Examining the spatial patterns of green industries and the role of government policies in South Korea: Application of a panel regression model (2006–2012). Renewable and Sustainable Energy Reviews, 78, 614-623.

Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and statistics, 61(S1), 653-670.

Pedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In Nonstationary panels, panel cointegration, and dynamic panels (pp. 93-130). Emerald Group Publishing Limited.

Phillips, P. C., y Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.

Rekiso, Z. S. (2017). Rethinking regional economic integration in Africa as if industrialization mattered. Structural Change and Economic Dynamics, 43, 87-98.

Schmerer, H. J. (2014). Foreign direct investment and search unemployment: Theory and evidence. International Review of Economics & Finance, 30, 41-56.

Schubert, S. F., y Turnovsky, S. J. (2017). Growth and unemployment: Short-run and long-run tradeoffs. Journal of Economic Dynamics and Control.

Sheng, M., y Gu, C. (2018). Economic growth and development in Macau (1999–2016): The role of the booming gaming industry. Cities, 75, 72-80.

Shihe, F. U., Xiaofang, D. O. N. G., y Guojun, C. H. A. I. (2010). Industry specialization, diversification, churning, and unemployment in Chinese cities. China Economic Review, 21(4), 508-520.

Song, H., Thisse, J. F., y Zhu, X. (2012). Urbanization and/or rural industrialization in China. Regional Science and Urban Economics, 42(1-2), 126-134.

Stuermer, M. (2017). Industrialization and the demand for mineral commodities. Journal of International Money and Finance, 76, 16-27.

Szirmai, A., y Verspagen, B. (2015). Manufacturing and economic growth in developing countries, 1950–2005. Structural Change and Economic Dynamics, 34, 46-59.

Tesfaselassie, M. F., y Wolters, M. H. (2018). The impact of growth on unemployment in a low vs. a high inflation environment. Review of Economic Dynamics, 28, 34-50.

Wang, T., y Chanda, A. (2017). Manufacturing growth and local employment multipliers in China. Journal of Comparative Economics.

Watson, P., y Deller, S. (2017). Economic diversity, unemployment and the Great Recession. The Quarterly Review of Economics and Finance, 64, 1-11.

Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and statistics, 69(6), 709-748.

Xu, B., y Lin, B. (2015). How industrialization and urbanization process impacts on CO2 emissions in China: evidence from nonparametric additive regression models. Energy Economics, 48, 188-202.

Xue, H., y Li-li, Q. (2016). Research on Efficiency of Financial Supports in Agricultural Industrialization in China. Journal of Northeast Agricultural University (English Edition), 23(2), 78-81.

Yang, Y., y Shao, X. (2017). Understanding industrialization and employment quality changes in China: Development of a qualitative measurement. China Economic Review.

Yang, F. F., Yeh, A. G., y Wang, J. (2018). Regional effects of producer services on manufacturing productivity in China. Applied Geography, 97, 263-274.

Zhu, Z., Liu, Y., Tian, X., Wang, Y., y Zhang, Y. (2017). CO2 emissions from the industrialization and urbanization processes in the manufacturing center Tianjin in China. Journal of Cleaner Production, 168, 867-875.

Zweimüller, J. (2018). Unemployment insurance and the labor market.