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A conditional full frontier modelling for analyzing environmental efficiency and economic growth

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  • Halkos, George
  • Tzeremes, Nickolaos

Abstract

By applying conditional and unconditional data envelopment analysis (DEA) models along side with statistical inference using bootstrap techniques; this paper investigates the link between China’s carbon dioxide emissions (CO2) environmental efficiency and its economic growth (measured in GNI per capita) for the time period of 1965 to 2009. The results reveal that China’s changing consumption patterns has caused emissions levels to increase dramatically the last two decades providing clear evidence of a negative effect of China’s GNI per capita increase on its environmental efficiency.

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  • Halkos, George & Tzeremes, Nickolaos, 2011. "A conditional full frontier modelling for analyzing environmental efficiency and economic growth," MPRA Paper 32839, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:32839
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    More about this item

    Keywords

    Environmental efficiency; Economic growth; Carbon dioxide emissions; China; Data envelopment analysis; Conditional efficiency; Bootstrap procedures;
    All these keywords.

    JEL classification:

    • 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
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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