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Global environmental emissions estimate: application of multiple imputation

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  • Eriko Miyama
  • Shunsuke Managi

Abstract

A new database called the World Resource Table is constructed in this study. Missing values are known to produce complications when constructing global databases. This study provides a solution for applying multiple imputation techniques and estimates the global environmental Kuznets curve (EKC) for CO 2 , SO 2 , PM10, and BOD. Policy implications for each type of emission are derived based on the results of the EKC using WRI. Finally, we predicted the future emissions trend and regional share of CO 2 emissions. We found that East Asia and South Asia will be increasing their emissions share while other major CO 2 emitters will still produce large shares of the total global emissions. Copyright Springer Japan 2014

Suggested Citation

  • Eriko Miyama & Shunsuke Managi, 2014. "Global environmental emissions estimate: application of multiple imputation," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(2), pages 115-135, April.
  • Handle: RePEc:spr:envpol:v:16:y:2014:i:2:p:115-135
    DOI: 10.1007/s10018-014-0080-3
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    2. Zhong, Hua & Hu, Wuyang, 2015. "Farmers’ Willingness to Engage in Best Management Practices: an Application of Multiple Imputation," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196962, Southern Agricultural Economics Association.
    3. Qudsia Kanwal & Xianlai Zeng & Jinhui Li, 2023. "Measuring the recycling potential of industrial waste for long-term sustainability," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
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    5. Zaman, Khalid & Abd-el Moemen, Mitwali, 2017. "The influence of electricity production, permanent cropland, high technology exports, and health expenditures on air pollution in Latin America and the Caribbean Countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1004-1010.
    6. Kumar, Surender & Managi, Shunsuke, 2016. "Carbon-sensitive productivity, climate and institutions," Environment and Development Economics, Cambridge University Press, vol. 21(1), pages 109-133, February.
    7. Norichika Kanie & Shunsuke Managi, 2014. "Stimulating a 2015 Climate Deal: governance of low-carbon technology transfer," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(2), pages 111-113, April.
    8. George Halkos & Argyro Zisiadou, 2018. "Relating environmental performance with socioeconomic and cultural factors," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 69-88, January.
    9. Winston W. Chang, 2017. "World Trade and the Environment: Issues and Policies," Pacific Economic Review, Wiley Blackwell, vol. 22(3), pages 435-479, August.
    10. George Halkos & Shunsuke Managi & Nickolaos Tzeremes, 2015. "The effect of natural and man-made disasters on countries’ production efficiency," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-13, December.
    11. Zhong, Hua & Hu, Wuyang & Penn, Jerrod M., 2018. "Application of Multiple Imputation in Dealing with Missing Data in Agricultural Surveys: The Case of BMP Adoption," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    12. Kenta Tanaka & Shunsuke Managi, 2016. "Impact Of A Disaster On Land Price: Evidence From Fukushima Nuclear Power Plant Accident," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(01), pages 1-15, March.
    13. Shigemi Kagawa & Seiji Hashimoto & Shunsuke Managi, 2015. "Special issue: studies on industrial ecology," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(3), pages 361-368, July.

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    More about this item

    Keywords

    Global emissions; Multiple imputation; Environmental Kuznets curve; Missing data; Forecasting;
    All these keywords.

    JEL classification:

    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth

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