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Impact of Environmental Quality Variables and Socio-Economic Factors on Human Health: Empirical Evidence from China | ||
Pollution | ||
مقاله 3، دوره 4، شماره 4، دی 2018، صفحه 571-579 اصل مقاله (630.44 K) | ||
نوع مقاله: Original Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/poll.2018.252214.391 | ||
نویسندگان | ||
M. Ahmad* 1؛ Z. Ur Rahman2؛ L. Hong1؛ S. Khan3؛ Z. Khan4؛ M. Naeem Khan5 | ||
1School of Economics, Department of Industrial Economics, Nanjing University, China | ||
2Research School for Southeast Asian Studies, Xiamen University, China | ||
3Institute of Business Studies and Leadership, Abdul Wali Khan University Mardan, Pakistan | ||
4School of Economics & Management, Tsinghua University, China | ||
5School of Social Behavior Sciences, Department of Sociology, Nanjing University, China | ||
چکیده | ||
Carbon dioxide (CO2) is the foremost gas, emanated from human activities, and the best-known greenhouse gas, contributing to global warming, thus its negative effect on human health cannot be disregarded. The current paper investigates the relation between environmental quality variables, socio-economic factors, and human health from 1960 to 2014 in China, using Auto Regressive Distribution Lag (ARDL) Model. It selects three main environmental quality indicators (carbon emissions from coal, natural gas, and petrol) along with two representative socio-economic factors variables (per capita income and urban population) to explain the interaction mechanism. The results validate the long-term negative equilibrium impact of carbon emissions from the consumption of natural gas, coal, and petroleum on human health. The findings also reveal that migration from the countryside to cities and increase in per capita income improve quality of health. It is suggested that lowering emission of Carbon dioxide (CO2), which is the principal cause of greenhouse gas emissions, should be important in setting up the high quality of life for citizens. | ||
کلیدواژهها | ||
CO2 emissions؛ per capita income؛ Urban population؛ ARDL | ||
مراجع | ||
Assadzadeh, A., Faranak, B. and Amir, S. (2014). The Impact of Environmental Quality and Pollution on Health Expenditures: A Case Study of Petroleum Exporting Countries. Proceedings of 29th International Business Research Conference., 24 – 25 November 2014, Sydney, Australia.
Balan, F. (2016). Environmental Quality and its Human Health Effects: A Causal Analysis for the EU-25. International Journal of Applied Economics, 13(1): 57-71
Balan, C. and Jaba, E. (2011). Statistical analysis of the determinants of life expectancy in Romania. Romanian Journal of Regional Science, 5(2): 28-38.
Bayati, M., Akbarian, R. and Kavosi, Z. (2013). Determinants of life expectancy in Eastern Mediterranean Region: A Health Production Function. International Journal of Health Policy and Management, 1(1): 65-71
Berger, M.C. and Messer, J. (2002). Public financing of health expenditures, insurance, and health outcomes, Applied Economics, 34(17): 2105-2114.
Bergh, A. and Nilsson, T.H. (2009). Good for living? On the relation between globalization and life expectancy. World Development, 38(9): 1191-1203.
Castello, A. and Domenech, R. (2002). Human capital inequality and economic growth: Some new evidence. Economic Journal, 112(478): 187-200.
Engle, R.F. and Granger, C.W.J. (1987). Cointegration and error correction: Representation, estimation and testing. Econometrica, 55(2): 251-276.
Hazan, M. (2012). Life expectancy and schooling: New insights from cross-country data. Journal of Population Economics, 25(4): 1237-1248.
Jerrett, M., Eyles, J., Dufournaud, C. and Birch, S., (2003). Environmental influences on health care expenditures: an exploratory analysis from Ontario. Canada Journal of Epidemiology and Community Health, 57(5): 334-8.
Johansen, S. and Juselius, K. (1990). Maximum Likelihood Estimation and Inference on cointegration with Applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2): 169–210.
Kim, T.K. and Lane, S.R. (2013). Government health expenditure and public health outcomes: A comparative study among 17 countries and implications for US health care reform. American International Journal of Contemporary Research, 3(9): 8-13.
Kolsrud. G. and Boyle T. B. (1992): The importance of Population growth in future commercial energy consumption. Global Climate Control, 127–141.
Lutkepohl, H. and Kratzig, M. (2004). Applied time series econometrics. Cambridge University Press, New York.
Martin, B. and Ellen, B. (1998). The poverty of cities in developing regions. Population and Development Review, 24(1): 75-114.
Mankiw, N.G., Romer. D. and Weil, D.N. (1992). A contribution to the empirics of economic growth. Quarterly Journal of Economics, 107(2): 407-437
Monsef, A. and Mehrjardi, A. S. (2015). Determinants of life expectancy: a panel data approach. Asian Economic and Financial Review, 5(11): 1251-1257.
Narayan, P.K. and Narayan, B. (2008). Does environmental quality influence health expenditures? Empirical evidence from a panel of selected OECD countries. Ecological Economics journal, 65(2): 367–374.
Obrizan, M. and Wehby, G.L. (2012). Health expenditures and life expectancy around the World: A quantile regression approach. Kyiv School of Economics and Kyiv Economics Institute, Discussion Paper Series 47.
Odusanya, I. A., Adegboyega, S. B. and Kuku, M A. (2014). Environmental quality and health care spending in Nigeria. Fountain Journal of Management and Social Sciences., 3(2): 57-67.
Lilliard, L.A. and Weiss, Y. (1997). Uncertain health and survival: Effects on end-of-life consumption. Journal of Business & Economic Statistics, 15(2): 254-268.
Pesaran, M.H. and Shin, Y. (1999). An autoregressive distributed lag modelling approach to cointegration analysis: The Ragnar Frisch Centennial Symposium, ed. by Strom, S., chap. 11, Cambridge University Press, Cambridge.
Pesaran, M.H., Shin, Y. and Smith, R. (2001). Bonds testing approaches to the analysis of level relationship. Journal of Applied Econometric, 16(3): 289- 326.
Roberts, J.T and Grimes, P.E. (1997). Carbon intensity and economic development 1962-1991: a brief exploration of the environmental Kuznets curve. World Development, 25(2): 191-198.
Sinha, A. and Mehta, A. (2014). Causal analysis of India’s energy-led growth and CO2 emission (1960- 2010). Indian Journal of Economics and Business,13(1): 81-89.
Sinha, A. (2014). Carbon Emissions and Mortality Rates: A Causal Analysis for India (1971-2010). International Journal of Economic Practices and Theories, 4(4): 486-492.
Sollis, S. and Harris, R. (2003). Applied Time Series Modelling and Forecasting. J. Wiley, England.
World Bank (2001): China: Air, Land, and Water: Environmental Priorities for a New Millennium. World Bank Publications, Volume 1.
Yavari, K. and Mehrnoosh, M. (2006). Determinants of life expectancy: A cross – country. Iranian Economic Review, 11(15): 13-142.
Zhao, Y. and Wang, S. (2015). The relationship between urbanization, economic growth and energy consumption in China: an econometric perspective analysis. Sustainability, 7(5): 5609-5627
Zhou, C., Wang, S. and Feng, K. (2018). Examining the socioeconomic determinants of CO2 emissions in China: A historical and prospective analysis. Resources, Conservation & Recycling, 130(2018): 1-11. | ||
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