Liddle, Brantley (2015): What Are the Carbon Emissions Elasticities for Income and Population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates. Published in: Global Environmental Change , Vol. 31, (2015): pp. 62-73.
Preview |
PDF
MPRA_paper_61304.pdf Download (1MB) | Preview |
Abstract
Knowledge of the carbon emissions elasticities of income and population is important both for climate change policy/negotiations and for generating projections of carbon emissions. However, previous estimations of these elasticities using the well-known STIRPAT framework have produced such wide-ranging estimates that they add little insight. This paper presents estimates of the STIRPAT model that address that shortcoming, as well as the issues of cross-sectional dependence, heterogeneity, and the nonlinear transformation of a potentially integrated variable, i.e., income. Among the findings are that the carbon emissions elasticity of income is highly robust; and that the income elasticity for OECD countries is less than one, and likely less than the non-OECD country income elasticity, which is not significantly different from one. By contrast, the carbon emissions elasticity of population is not robust; however, that elasticity is likely not statistically significantly different from one for either OECD or non-OECD countries. Lastly, the heterogeneous estimators were exploited to reject a Carbon Kuznets Curve: while the country-specific income elasticities declined over observed average income-levels, the trend line had a slight U-shape.
Item Type: | MPRA Paper |
---|---|
Original Title: | What Are the Carbon Emissions Elasticities for Income and Population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates |
Language: | English |
Keywords: | Carbon Kuznets Curves; Kaya identity; population and environment; nonstationary panels; cross sectional dependence; nonlinearities in environment and development. |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C18 - Methodological Issues: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O13 - Agriculture ; Natural Resources ; Energy ; Environment ; Other Primary Products Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q54 - Climate ; Natural Disasters and Their Management ; Global Warming Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q56 - Environment and Development ; Environment and Trade ; Sustainability ; Environmental Accounts and Accounting ; Environmental Equity ; Population Growth |
Item ID: | 61304 |
Depositing User: | Dr Brantley Liddle |
Date Deposited: | 14 Jan 2015 11:42 |
Last Modified: | 28 Sep 2019 11:53 |
References: | Apergis, N. and Payne, J. 2009. CO2 emissions, energy usage, and output in Central America. Energy Policy, 37, 3282-3289. Apergis, N. and Payne, J. 2010. The emissions, energy consumption, and growth nexus: Evidence from the commonwealth of independent states. Energy Policy, 38, 650-655. Baek, J. and Kim, H-S. 2013. Is economic growth good or bad for the environment? Empirical evidence from Korea. Energy Economics, 36, 744-749. Beck, N. 2008. Time-Series—Cross-Section Methods. In Oxford Handbook of Political Methodology. Box-Steffensmeier, J., Brady, H., and Collier, D. (eds.). New York: Oxford University Press. Belke, A. Dobnik, F., and Dreger, C. 2011. Energy consumption and economic growth: New insights into the cointegration relationship. Energy Economics, 33(5), 782-789. Bradford, D., Fender, R., Shore, S., and Wagner, M. (2005) "The Environmental Kuznets Curve: Exploring a Fresh Specification," Contributions to Economic Analysis & Policy: Vol. 4(1), Article 5. Cole, M.A. and Neumayer, E. 2004. Examining the impact of demographic factors on air pollution. Population & Environment 26(1), 5-21. Commoner, B., Corr, M., Stamler, P.J. 1971. The causes of pollution. Environment 13(3), 2-19. Dietz, T. and Rosa, E.A. 1997. Effects of population and affluence on CO2 emissions. Proceedings of the National Academy of Sciences – USA 94, 175-179. Dinda, S. 2004. Environmental Kuznets curve hypothesis: A survey. Ecological Economics 49, 431-455. Eberhardt, M. and Teal, F. (2010) Productivity Analysis in Global Manufacturing Production, Economics Series Working Papers 515, University of Oxford, Department of Economics. Ehrlich, P.R., Holdren, J. 1971. Impact of population growth. Science 171, 1212-1217. Fan, Y., Liu, L-C., Wu, G., and Wei. Y-M.. (2006). Analyzing impact factors of CO2 emissions using the STIRPAT model. Environmental Impact Assessment Review, 26, 377-395. Itkonen, J. 2012. Problems estimating the carbon Kuznets curve. Energy, 39, 274-280. Iwata, H., Okada, K., and Samreth, S. 2011. A note on the environmental Kuznets curve for CO2: A pooled mean group approach. Applied Energy, 88, 1986-1996. Iwata, H., Okada, K., and Samreth, S. 2012. Empirical study on the determinants of CO2 emissions: evidence from OECD countries. Applied Economics, 44, 3513-3519. Jorgenson, A. and Clark, B. 2010. Assessing the temporal stability of the population/environment relationship in comparative perspective: a cross-national panel study of carbon dioxide emissions, 1960-2005. Population and Environment, 32, 27-41. Jorgenson, A. and Clark, B. 2012. Are the economy and the environment decoupling? A comparative international study, 1960-2005. American Journal of Sociology 118(1), 1-44. Jorgenson, A., Rice, J., and Clark, B. 2010. Cities, slums, and energy consumption in less developed countries, 1990 to 2005. Organization and Environment 23(2), 189-204. Kao, C. 1999. Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 65(1), 9-15. Kapetanios, G., Pesaran, M.H., and Yamagata, T. 2011. Panels with non-stationary multifactor error structures. Journal of Econometrics 160, 326-348. Kaya, Y. 1990. Impacts of carbon dioxide emission control on GNP growth: interpretation of proposed scenarios. Paper presented to the IPCC Energy and Industry Subgroup, Response Strategies Working Group, Paris. Knight, K. And Rosa, E. 2012. Household dynamics and fuelwood consumption in developing countries: a cross-national analysis. Population and Environment 33, 365-378. Knight, K., Rosa, E., and Schor, J. 2013. Could working less reduce pressures on the environment? A cross-national panel analysis of OECD countries, 1970-2007. Global Environmental Change, 23, 691-700. Lean, H-H. and Smyth, R. 2010. CO2 emissions, electricity consumption and output in ASEAN. Applied Energy, 87, 1858-1864. Liddle, B. 2004. Demographic dynamics and per capita environmental impact: using panel regressions and household decompositions to examine population and transport. Population and Environment, 26, 23-39. Liddle, B. (2011) Consumption-driven environmental impact and age-structure change in OECD countries: A cointegration-STIRPAT analysis. Demographic Research, Vol. 24, pp. 749-770. Liddle, B. 2012 What are the carbon emissions elasticities for income and population? A robustness exercise employing the STIRPAT framework. USAEE Working Paper No. 12-135. Available via SSRN. http://ssrn.com/abstract=2162222. Liddle, B. 2013a.Population, Affluence, and Environmental Impact Across Development: Evidence from Panel Cointegration Modeling. Environmental Modeling and Software, Vol. 40, 255-266. Liddle, B. 2013b. The energy, economic growth, urbanization nexus across development: Evidence from heterogeneous panel estimates robust to cross-sectional dependence. The Energy Journal 34(2), 223-244. Liddle, B. 2013c. Urban density and climate change: A STIRPAT analysis using city-level data. Journal of Transport Geography 28, 22-29. Liddle, B. and Lung, S. 2010. Age Structure, Urbanization, and Climate Change in Developed Countries: Revisiting STIRPAT for Disaggregated Population and Consumption-Related Environmental Impacts. Population and Environment, 31, 317-343. Liddle, B. and Lung, S. 2013. The long-run causal relationship between transport energy consumption and GDP: Evidence from heterogeneous panel methods robust to cross-sectional dependence. Economic Letters, 121, 524-527. Mazzanti, M. and Musolesi, A. 2013. The heterogeneity of carbon Kuznets curves for advanced countries: comparing homogeneous, heterogeneous and shrinkage/Bayesian estimators. Applied Economics, 45, 3827-3842. Martinez-Zarzoso, I., Bengochea-Morancho, A., and Morales-Lage, R. 2007. The impact of population on CO2 emissions: evidence from European countries. Environmental and Resource Economics 38, 497-512. Martinez-Zarzoso, I. and Maruotti, A. 2011. The impact of urbanization on CO2 emissions: Evidence from developing countries. Ecological Economics, 70, pp. 1344-1353. Menz, T. and Welsch, H. 2012. Population aging and carbon emissions in OECD countries: Accounting for life-cycle and cohort effects. Energy Economics, 34, pp.842-849. O’Neill, B., Liddle, B., Jiang, L., Smith, K., Pachauri, S., Dalton, M., and Fuchs, R. 2012. Demographic change and carbon dioxide emissions. The Lancet, 380, 157-164. Pesaran, M. (2004) General Diagnostic Tests for Cross Section Dependence in Panels' IZA Discussion Paper No. 1240. Pesaran, M. (2006) 'Estimation and inference in large heterogeneous panels with a multifactor error structure.' Econometrica, Vol. 74(4): pp.967-1012. Pesaran, M. 2007. A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22: 265-312. Pesaran, M. and Smith, R. 1995. Estimating long-run relationships from dynamic heterogeneous panel., Journal of Econometrics, 68, 79-113. Poumanyvong, P. and Kaneko, S. 2010. Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis. Ecological Economics. 70, 434-444. Richmond, A. and Kaufmann, R. 2006. Is there a turning point in the relationship between income and energy use and/or carbon emissions? Ecological Economics 56, 176-189. Roberts, T. 2011. Applying the STIRPAT model in a post-Fordist landscape: Can a traditional econometric model work at the local level? Applied Geography 31, 731-739. Saboori, B. and Sulaiman, J. 2013. CO2 emissions, energy consumption and economic growth in Association of Southeast Asian Nations (ASEAN) countries: A cointegration approach. Energy, 55, 813-822. Sadorsky, P. 2013. Do urbanization and industrialization affect energy intensity in developing countries? Energy Economics, 37, 52-59. Sadorsky, P. 2014. The effect of urbanization on CO2 emissions in emerging countries. Energy Economics, 41, 147-153. Sarafidis, V. and Wansbeek, T. 2012. Cross-sectional dependence in panel data analysis. Econometric Reviews, 31(5), 483-531. Shi, A. (2003). The impact of population pressure on global carbon dioxide emissions, 1975-1996: evidence from pooled cross-country data. Ecological Economics, 44, 29-42. Stern, D. 2004. The rise and fall of the environmental Kuznets curve. World Development, 32(8), 1419-1439. Stern, D. 2010. Between estimates of the emissions-income elasticity. Ecological Economics, 69, 2173-2182. Wagner, Martin. 2008. “The carbon Kuznets curve: A cloudy picture emitted by bad econometrics?” Resource and Energy Economics 30, 3: 388-408. York, R. (2007). Demographic trends and energy consumption in European Union Nations, 1960-2025. Social Science Research, 36, 855-872. York, R. 2008. De-carbonization in former Soviet republics, 1992-2000: The ecological consequences of de-modernization. Social Problems, 55 (3), 370-390. Zhu, H.-M., You, W.-H., and Zeng, Z.-f. 2012. Urbanization and CO2 emissions: A semi-parametric panel data analysis. Economics Letters, 117, 848-850. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/61304 |