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Looking at the Impacts of Income Inequality on Environmental Governance in China

Treść / Zawartość
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Warianty tytułu
PL
Analiza wpływu nierówności dochodowych na zarządzanie środowiskiem w Chinach
Języki publikacji
EN
Abstrakty
EN
This research investigates the impacts of income inequality (proxied by the Gini index) on environmental governance (proxied by per capita government investments on industrial pollution prevention) by employing the panel fixed effect model, system generalized method of moments and bias-corrected least-squares dummy variables model for 23 provinces from 1995 to 2014. The results indicate that income inequality exhibits significantly positive impacts on government environmental governance investment in China, which reveals that an increase in income inequality may help to improve environmental governance in China; we thus offer several remittable implications for those policy makers in Chinese provinces as well as governments of emergent economies like China.
PL
W niniejszym artykule zbadano wpływ nierówności dochodów (wykorzystując przez indeks Giniego) na zarządzanie środowiskiem (uwzględniając inwestycje rządu per capita na zapobieganie zanieczyszczeniom przemysłowym) poprzez zastosowanie modelu o stałych efektach panelowych, uogólnionej metody systemowej momentów i skorygowanego odchylenia modelu zmiennych pozornych najmniejszych kwadratów dla 23 chińskich prowincji w latach 1995-2014. Wyniki wskazują, że nierówność dochodów może wywierać znaczny pozytywny wpływ na rządowe inwestycje w zarządzanie środowiskiem w Chinach, co pokazuje, że wzrost nierówności w dochodach może przyczynić się do poprawy zarządzania środowiskiem w Chinach; oferujemy zatem kilka wymiernych rozwiązań dla decydentów w chińskich prowincjach, a także dla rządów wschodzących gospodarek, takich jak Chiny.
Czasopismo
Rocznik
Strony
63--70
Opis fizyczny
Bibliogr. 37 poz., fig., tab.
Twórcy
autor
  • School of Economics and Management, Xi’an University of Technology, Xi’an, China
autor
  • China School of Economics and Management, Xi’an University of Technology, Xi’an, China
autor
  • Department of Political Economy, National Sun Yat-Sen University, Kaohsiung, Taiwan
autor
  • School of Economics and Management, Changsha University of Science and Technology, Changsha, Hunan, China
  • Shih Chien University at Kaohsiung, Kaohsiung, Taiwan
Bibliografia
  • 1. ALI H. S., HASSAN S., KOFARMATA Y. I., 2016, Dynamic impact of income inequality on carbon dioxide emissions in Africa: new evidence from heterogeneous panel data analysis, in: International Journal of Energy Economics & Policy, 6, p. 760-766.
  • 2. ARELLANO M., BOND S. R., 1991, Some tests of specification for panel data: monte carlo evidence and an application to employment equations, in: Review of Economic Studies, 58, p. 277-297.
  • 3. ARELLANO M., BOVER O., 1995, Another look at the instrumental variable estimation of error-components models, in: Journal of Econometrics, 68, p. 29-51.
  • 4. BAEK J., GWEISAH G., 2013, Does income inequality harm the environment? : Empirical evidence from the united states, in: Energy Policy, 62, p. 1434-1437.
  • 5. BERTHE A., ELIE L., 2015, Mechanisms explaining the impact of economic inequality on environmental deterioration, in: Ecological Economics, 116, p. 191-200.
  • 6. BIMONTE S., 2002, Information access, income distribution, and the Environmental Kuznets Curve, in: Ecological Economics, 41, p. 145-156.
  • 7. BLUNDELL R., BOND S., 1998, Initial conditions and moment restrictions in dynamic panel data models, in: Economics Papers, 87, p. 115-143.
  • 8. BOND S. R., HOEFFLER A., TEMPLE J. R. W., 2001, GMM estimation of empirical growth models, in: Cepr Discussion Papers, 159, p. 99-115.
  • 9. BOYCE J. K., 1994, Inequality as a Cause of Environmental Degradation, in: Ecological Economics, 11, p. 169-78.
  • 10. BOYCE J. K., KLEMER A. R., TEMPLET P. H., WILLIS C. E., 1999, Power distribution, the environment, and public health: a state-level analysis, in: Ecological Economics, 29, p. 127-140.
  • 11. BRASINGTON D. M., HITE D., 2005, Demand for environmental quality: a spatial hedonic analysis, in: Regional Science & Urban Economics, 35, p. 57-82.
  • 12. BRITISH PETROLEUM (BP), Statistical Review of World Energy 2016.
  • 13. BRUNO G. S. F., 2005, Estimation and inference in dynamic unbalanced panel data models with a small number of individuals, in: Stata Journal, 5, p. 473-500.
  • 14. GOLLEY J., MENG X., 2012, Income inequality and carbon dioxide emissions: the case of Chinese urban households, in: Energy Economics, 34, p. 1864-1872.
  • 15. GUO P., YANG M. J., 2014, A Research on the Impact of China's Fiscal Decentralization on Environmental Governance (in Chinese), in: Urban Development Research, 21, p. 84-90.
  • 16. HAO Y., CHEN H., ZHANG Q., 2016, Will income inequality affect environmental quality? analysis based on China's provincial panel data, in: Ecological Indicators, 67, p. 533-542.
  • 17. JALAN J., SOMANATHAN E., CHAUDHURI S., 2007, Demand for environmental quality: survey evidence on drinking water in urban India, in: Working Papers, 14, p. 665-692.
  • 18. JAYANTHAKUMARAN K., LIU Y., 2012, Openness and the Environmental Kuznets Curves: evidence from China, in: Economic Modelling, 29, p. 566-576.
  • 19. KIVIET J. F., 1995, On bias, inconsistency, and efficiency of various estimators in dynamic panel data models, in: Journal of Econometrics, 68, p. 53-78.
  • 20. LUO L., DENG L., 2012, Regional Distribution of Environmental Kuznets Curves in Different Provinces of China (in Chinese), in: Statistics and Decision, 34, p. 99-101.
  • 21. MAGNANI E., 2000, The Environmental Kuznets Curve, Environmental Protection Policy and Income Distribution, in: Ecological Economics, 32, p. 431-43.
  • 22. MARSILIANI L., RENSTROM T. I., 2000, Time inconsistency in environmental policy: tax earmarking as a commitment solution, in: Economic Journal, 110, p. 123-138.
  • 23. MARTINEZ-ALIER J., 1995, Distributional issues in ecological economics, in: Review of Social Economy, 53, p. 511-528.
  • 24. PANAYOTOU T., 2001, Demystifying the Environmental Kuznets Curve: turning a black box into a policy tool, in: Environment & Development Economics, 2, p. 465-484.
  • 25. PANAYOTOU T., 2011, Economic growth and the environment, in: Value Engineering, 110, p. 277-284.
  • 26. SHAHBAZ M., SBIA R., HAMDI H., OZTURK I., 2014, Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates, in: Ecological Indicators, 45, p. 622-631.
  • 27. SUNDRUM R. M., 1990, Income Distribution in Less Development Countries, Routledge, London and New York, p. 50.
  • 28. TIAN W. M., 2012, The measurement of Gini coefficients for Chinese provincial residents and an analysis on their changing trend (in Chinese), in: Economic Science, 40, p. 48-59.
  • 29. TORRAS M., BOYCE J. K., 1998, Income, inequality, and pollution: a reassessment of the Environmental Kuznets Curve, in: Ecological Economics, 25, p. 147-160.
  • 30. VORNOVYTSJYY M.S., BOYCE J. K., 2010, Economic inequality and environmental quality: evidence of pollution shifting in Russia, in: Working Papers.
  • 31. WOLDE-RUFAEL Y., IDOWU S., 2017, Income distribution and CO2, emission: a comparative analysis for China and India, in: Renewable & Sustainable Energy Reviews, 74, p. 1336-1345.
  • 32. XIN C. C., ZHOU Q. L., 2018, Has Fiscal Decentralization Promoted or Restricted Public Environmental Expenditure? An Empirical Analysis Based on China’s Provincial Panel Data (in Chinese), in: Contemporary Finance & Economics, 39, p. 24-35.
  • 33. YAN W. J., 2012, Fiscal Decentralization, Government Competition and Environmental Governance Investment (in Chinese), in: Finance and Trade Research, 23, p. 91-97.
  • 34. YANG J., YANG Z. K., SHENG P. F., 2011, Income distribution, human capital and environmental quality: empirical study in China, in: Energy Procedia, 5, p. 1689-1696.
  • 35. ZHANG Y. J., HAO J. F., 2016, The evaluation of environmental capacity: evidence in Hunan province of China, in: Ecological Indicators, 60, p. 514-523.
  • 36. ZHAO Y., XU H., ZHOU X. M., 2015, Spatial effects of environmental pollution and governance (in Chinese), in: Journal of Arid Land Resources and Environment, 29, p. 170-175.
  • 37. ZHENG Y., ZHAO X. X., 2014, Technical Efficiency of Environment, Pollution Abatement and Environmental Performance-Based on 1998-2012 Provincial Panel Data Analysis (in Chinese), in: Chinese Journal of Management Science, 22, p. 767-773.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-39f78bd0-44c2-49dc-9fc4-5d1719f994a6
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