APEC Ülkelerinde Yenilenebilir Enerji Kaynaklarının Hava Kirliliğinin Refah Maliyetlerini AzaltıcI Rolü
Year 2022,
Volume: 22 Issue: 1, 277 - 292, 31.03.2022
Mümin Atalay Çetin
,
İbrahim Bakırtaş
Abstract
Bu çalışmanın ana amacı 1990-2016 yılları süresince Asya-Pasifik Ekonomik İşbirliği (APEC) ülkelerinde yenilenebilir enerji arzının hava kirliliği kaynaklı erken ölümlerin refah maliyetleri üzerindeki uzun dönemli etkilerini dinamik panel veri teknikleri kullanarak incelemektir. Uzun dönem esneklik sonuçları yenilenebilir enerji kaynakları arzındaki artışların hava kirliliğinin refah maliyetlerini azalttığını ortaya koymuştur. Uygulama sonuçları, yenilenebilir enerjinin sadece sürdürülebilir bir enerji kaynağı olarak görülmemesi, aynı zamanda kirliliğin muhtemel dışsallıkları ile baş etmenin etkin bir yolu olarak da değerlendirilmesi gerektiğini ortaya çıkarmıştır.
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The Mitigating Role of Renewable Energy Sources on the Welfare Cost of Air Pollution in APEC Countries
Year 2022,
Volume: 22 Issue: 1, 277 - 292, 31.03.2022
Mümin Atalay Çetin
,
İbrahim Bakırtaş
Abstract
The main purpose of this study is to determine the possible long run impacts of renewable energy supply on the welfare cost of premature deaths caused by air pollution in the Asia-Pacific Economic Cooperation (APEC) countries during 1990-2016 by using dynamic panel data techniques. The long run elasticity results showed that the increasing supply of renewable energy sources reduces the welfare cost of air pollution. Empirical findings revealed that clean energy should not just seen as a sustainable energy source but also considered as an efficient way to struggle with possible negative externalities of pollution.
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- Dinda, S. (2004). Environmental Kuznets Curve Hypothesis: A Survey. Ecological Economics, 49, p. 431-455.
Gangandharan, L. & Valenzuela, Ma.R. (2001). Interrelationships between Income, Health and the Environment: Extending the Environmental Kuznets Curve Hypothesis. Ecological Economics, 36, p. 513–531.
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- Gruber, J. (2016). Public Finance and Public Policy. New York: Worth Publishers.
- Hao, Y., Liu, S., Lu, Z.N., Huang, J. & Zhao, M. (2018). The Impact of Environmental Pollution on Public Health Expenditure: Dynamic Panel Analysis based on Chinese Provincial Data. Environmental Science and Pollution Research, 25, p. 18853–18865.
- Hoechle, D. (2007). Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence. The Stata Journal, 7(3), p. 281-312.
- Kao, C. & Chiang, M.H. (1999). On the Estimation and Inference of a Cointegrated Regression in Panel Data. Center for Policy Research Working Paper, Working Paper 2.
- Kaygusuz, K. (2002). Renewable and Sustainable Energy Use in Turkey: A Review. Renewable and Sustainable Energy Reviews, 6, p. 339-366.
- Khan, A., Hussain, J., Bano, S. & Chenggang, Y. (2019). The Repercussions of Foreign Direct Investment, Renewable Energy and Health Expenditure on Environmental Decay? An Econometric Analysis of B&RI Countries. Journal of Environmental Planning and Management, 63(11), p. 1965-1986.
- Lewandowski, P. (2006). PESCADF: Stata Module to Perform Pesaran's CADF Panel Unit Root Test in Presence of Cross Section Dependence. Boston College Department of Economics Statistical Software Components S456732, Boston, Massachusetts.
- Matus, K., Yang, T., Paltsev, S., Reilly, J. & Nam, K.M. (2008). Toward Integrated Assessment of Environmental Change: Air Pollution Health Effects in the USA. Climatic Change, 88, p. 59-92.
- Matus, K., Nam, K.M., Selin, N.E., Lamsal, L.N., Reilly, J.M. & Paltsev, S. (2012). Health Damages from Air Pollution in China. Global Environmental Change, 22, p. 55-66.
- Meneteau, P., Finon, D. & Lamy, M.L. (2003). Prices Versus Quantities: Choosing Policies for Promoting the Development of Renewable Energy. Energy Policy, 31, p. 799–812.
- Nam, K. M., Selin, N.E., Reilly, J.M. & Paltsev, S. (2010). Measuring Welfare Loss Caused by Air Pollution in Europe: A CGE Analysis. Energy Policy, 38, p. 5059-5071.
- Narayan, P.K. & Narayan, S. (2008). Does Environmental Quality Influence Health Expenditures? Empirical Evidence from a Panel of Selected OECD Countries. Ecological Economics, 65, p. 367-374.
- Nasir, M. A., Huynh, T.L.D. & Tram, H.T.X. (2019). Role of Financial Development, Economic Growth & Foreign Direct Investment in Driving Climate Change: A Case of Emerging ASEAN. Journal of Environmental Management, 242, p. 131-141.
- Nasreen, S. (2021). Association between Health Expenditures, Economic Growth and Environmental Pollution: Long‐Run and Causality Analysis from Asian Economies. International Journal of Health Planning and Management, 36, p. 925-944.
- Nath, S.K. (1973). A Perspective of Welfare Economics. London: Palgrave, The Macmillan Press LTD.
- Ng, Y.K. (2004). Welfare Economics: Towards a more Complete Analysis. London: Palgrave Macmillan.
- Ogden, D.C. (1966). Economic Analysis of Air Pollution. Land Economics, 42(2), p. 137-147.
- Owusu, P.A. & Sarkodie, S.A. (2020). Global Estimation of Mortality, Disability-Adjusted Life Years and Welfare Cost from Exposure to Ambient Air Pollution. Science of the Total Environment, 742, p. 140636.
- Pedroni, P. (2004). Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis. Econometric Theory, 20, p. 597-625.
- Persyn, D. & Westerlund, J. (2008). Error-Correction–Based Cointegration Tests for Panel Data. The Stata Journal, 8(2), p. 232-241.
- Pervin, T., Gerdtham, U.G. & Lyttkens, C.H. (2008). Societal Costs of Air Pollution-Related Health Hazards: A Review of Methods and Results. Cost Effectiveness and Resource Allocation, 6(19), p. 1-22.
- Pesaran, H. M., Shin, Y. & Smith, R.P. (1997). Pooled Estimation of Long-Run Relationships in Dynamic Heterogenous Panels. University of Cambridge DAE Working Papers Amalgamated Series, 9721, Cambridge.
- Pesaran, H.M., Shin, Y. & Smith, R.P. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94(446), p. 621-634.
- Pesaran, H.M. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. Center for Economic Studies and ifo Institute (CESifo) Working Paper, Working Paper 1229.
- Pesaran, H.M. (2007). A Simple Panel Unit Root Test in the Presence of Cross-Section Dependence. Journal of Applied Econometrics, 22, p. 265–312.
- Pesaran, H.M. & Yamagata, T. (2008). Testing Slope Homogeneity in Large Panels. Journal of Econometrics, 142, p. 50-93.
- Phillips, P.C.B. & Hansen, B.E. (1990). Statistical Inference in Instrumental Variables Regression with I(1) Processes. The Review of Economic Studies, 57(1), p. 99-125.
- Phillips, P.C.B. & Moon, H.R. (1999). Linear Regression Limit Theory for Nonstationary Panel Data. Econometrica, 67(5), p. 1057-1111.
- Pigou, A.C. (1920). Economics of Welfare. London: Macmillan and Co.
- Pigou, A.C. (1947). A Study in Public Finance. London: Macmillan and Co. LTD.
- Qureshi, M. I., Khan, N.U., Rasli, A.Md. & Zaman, K. (2015). The Battle of Health with Environmental Evils of Asian Countries: Promises to Keep. Environmental Science and Pollution Research, 22, p. 11708-11715.
- Sasmaz, M.U., Karamıklı, A. & Akkucuk, U. (2021). The Relationship between Renewable Energy Use and Health Expenditures in EU Countries. The European Journal of Health Economics, 22, p. 1129-1139.
- Selden, T.M. & Song, D. (1994). Environmental Quality and Development: Is there a Kuznets Curve for Air Pollution Emissions?. Journal of Environmental Economics and Management, 27, p. 147-162.
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