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Economic growth and environmental efficiency: Evidence from U.S. regions

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  • Halkos, George
  • Tzeremes, Nickolaos

Abstract

This paper proposes a conditional directional distance function model in order to examine the link between regional environmental efficiency and GDP per capita levels. As an illustrative example we apply our model to USA regional data revealing an inverted ‘U’ shape relationship between regional environmental efficiency and per capita income. The results derived from a non-parametric regression indicate a turning point at 49,000 dollars.

Suggested Citation

  • Halkos, George & Tzeremes, Nickolaos, 2012. "Economic growth and environmental efficiency: Evidence from U.S. regions," MPRA Paper 42675, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:42675
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    Cited by:

    1. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun & Managi, Shunsuke, 2015. "The enhanced Russell-based directional distance measure with undesirable outputs: Numerical example considering CO2 emissions," Omega, Elsevier, vol. 53(C), pages 30-40.
    2. Noor Ramli & Susila Munisamy & Behrouz Arabi, 2013. "Scale directional distance function and its application to the measurement of eco-efficiency in the manufacturing sector," Annals of Operations Research, Springer, vol. 211(1), pages 381-398, December.
    3. Jean Pierre Huiban & Camilla Mastromarco & Antonio Musolesi & Michel Simioni, 2018. "Reconciling the Porter hypothesis with the traditional paradigm about environmental regulation: a nonparametric approach," Journal of Productivity Analysis, Springer, vol. 50(3), pages 85-100, December.
    4. Yifei Zhang & Sheng Li & Fang Zhang, 2020. "Does an Emissions Trading Policy Improve Environmental Efficiency? Evidence from China," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    5. Nelson Amowine & Huaizong Li & Kofi Baah Boamah & Zhixiang Zhou, 2021. "Towards Ecological Sustainability: Assessing Dynamic Total-Factor Ecology Efficiency in Africa," IJERPH, MDPI, vol. 18(17), pages 1-23, September.
    6. George Halkos & George Papageorgiou, 2016. "Spatial environmental efficiency indicators in regional waste generation: a nonparametric approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(1), pages 62-78, January.
    7. Halkos, George & Polemis, Michael, 2016. "Examining the impact of financial development on the environmental Kuznets curve hypothesis," MPRA Paper 75368, University Library of Munich, Germany.
    8. Yujiao Xian & Ke Wang & Xunpeng Shi & Chi Zhang & Yi-Ming Wei & Zhimin Huang, 2018. "Carbon emissions intensity reduction target for China¡¯s power industry: An efficiency and productivity perspective," CEEP-BIT Working Papers 117, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    9. Chen, Chih Cheng, 2017. "Measuring departmental and overall regional performance: applying the multi-activity DEA model to Taiwan׳s cities/counties," Omega, Elsevier, vol. 67(C), pages 60-80.
    10. Jean Pierre Huiban & Camilla Mastromarco & Antonio Musolesi & Michel Simioni, 2018. "The impact of pollution abatement investments on production technology: a nonparametric approach," SEEDS Working Papers 0918, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2018.
    11. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2020. "Fast and efficient computation of directional distance estimators," Annals of Operations Research, Springer, vol. 288(2), pages 805-835, May.
    12. Xueting Zeng & Hua Xiang & Jia Liu & Yong Xue & Jinxin Zhu & Yuqian Xu, 2021. "Identification of Policies Based on Assessment-Optimization Model to Confront Vulnerable Resources System with Large Population Scale in a Big City," IJERPH, MDPI, vol. 18(24), pages 1-27, December.
    13. Halkos, George E. & Tzeremes, Nickolaos G., 2014. "Public sector transparency and countries’ environmental performance: A nonparametric analysis," Resource and Energy Economics, Elsevier, vol. 38(C), pages 19-37.
    14. Halkos, George & Sundström, Aksel & Tzeremes, Nickolaos, 2013. "Environmental performance and quality of governance: A non-parametric analysis of the NUTS 1-regions in France, Germany and the UK," MPRA Paper 48890, University Library of Munich, Germany.
    15. Halkos, George & Polemis, Michael, 2016. "The good, the bad and the ugly? Balancing environmental and economic impacts towards efficiency," MPRA Paper 72132, University Library of Munich, Germany.
    16. Rui Zhou, 2022. "Measurement and Spatial-Temporal Characteristics of Inclusive Green Growth in China," Land, MDPI, vol. 11(8), pages 1-36, July.
    17. Christos Kollias & Stephanos Papadamou, 2016. "Environmentally Responsible and Conventional Market Indices’ Reaction to Natural and Anthropogenic Adversity: A Comparative Analysis," Journal of Business Ethics, Springer, vol. 138(3), pages 493-505, October.
    18. Tzeremes, Nickolaos G., 2015. "Efficiency dynamics in Indian banking: A conditional directional distance approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 807-818.
    19. George E. Halkos & Michael L. Polemis, 2017. "Does Financial Development Affect Environmental Degradation? Evidence from the OECD Countries," Business Strategy and the Environment, Wiley Blackwell, vol. 26(8), pages 1162-1180, December.
    20. George E. Halkos & Shunsuke Managi, 2017. "Measuring the Effect of Economic Growth on Countries’ Environmental Efficiency: A Conditional Directional Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 753-775, November.

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    More about this item

    Keywords

    Regional environmental efficiency; Directional distance function; Conditional measures; U.S. regions;
    All these keywords.

    JEL classification:

    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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