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Modelling sulphur emissions in Europe: a spatial econometric approach


  • David Maddison


Previous authors have described an acid rain game in which countries respond to transboundary depositions of sulphur by adjusting their domestic emissions. Multiple attempts to model environmental Kuznets curves for sulphur emissions over time, however, have ignored the theoretical dependency of emissions on transboundary depositions. This neglect is surprising since in Europe there are numerous examples of countries whose own contribution to domestic depositions is less than the contribution from foreign emissions. Within the context of a long panel of sulphur emissions for European countries it is shown that accounting for transboundary emissions markedly alters the perceived shape of the environmental Kuznets curve. Far more compelling however is a model characterized by a spatial lag in which countries simply track changes in the per capita emissions characteristics of their neighbours irrespective of their per capita income levels. Copyright 2007 , Oxford University Press.

Suggested Citation

  • David Maddison, 2007. "Modelling sulphur emissions in Europe: a spatial econometric approach," Oxford Economic Papers, Oxford University Press, vol. 59(4), pages 726-743, October.
  • Handle: RePEc:oup:oxecpp:v:59:y:2007:i:4:p:726-743

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    References listed on IDEAS

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    1. Louis Dupuy & Matthew Agarwala, 2014. "International trade and sustainable development," Chapters,in: Handbook of Sustainable Development, chapter 25, pages 399-417 Edward Elgar Publishing.
    2. Li Dong & Le Canh, 2010. "Nonlinearity and Spatial Lag Dependence: Tests Based on Double-Length Regressions," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-18, June.
    3. Morakinyo Adetutu & Anthony Glass & Karligash Kenjegalieva & Robin Sickles, 2015. "The effects of efficiency and TFP growth on pollution in Europe: a multistage spatial analysis," Journal of Productivity Analysis, Springer, vol. 43(3), pages 307-326, June.
    4. You, Jing, 2013. "China's challenge for decarbonized growth: Forecasts from energy demand models," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 652-668.
    5. Hosseini, Hossein Mirshojaeian & Kaneko, Shinji, 2013. "Can environmental quality spread through institutions?," Energy Policy, Elsevier, vol. 56(C), pages 312-321.
    6. Ciriaci, Daria & Palma, Daniela, 2010. "Geography, environmental efficiency and Italian economic growth: a spatially-adapted Environmental Kuznets Curve," MPRA Paper 22899, University Library of Munich, Germany.
    7. Neophyta Empora, 2017. "Air pollution spillovers and U.S. state productivity growth," University of Cyprus Working Papers in Economics 06-2017, University of Cyprus Department of Economics.
    8. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
    9. Neophyta Empora & Theofanis P. Mamuneas & Thanasis Stengos, 2017. "Output and Pollution Abatement in a U.S. State Emission Function," University of Cyprus Working Papers in Economics 05-2017, University of Cyprus Department of Economics.
    10. Huixia Zhao & Emi Uchida & Xiangzheng Deng & Scott Rozelle, 2011. "Do Trees Grow with the Economy? A Spatial Analysis of the Determinants of Forest Cover Change in Sichuan, China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 61-82, September.
    11. Stefan Borsky & Paul A. Raschky, 2015. "Intergovernmental Interaction in Compliance with an International Environmental Agreement," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(2), pages 161-203.

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