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Applied energy v.212, 2018년, pp.691 - 703   SCI SCIE
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Does climate influence energy demand? A regional analysis

Shaik, Saleem (Corresponding author. ) ; Yeboah, Osei-Agyeman ;
  • 초록  

    Abstract The duality of cost minimization is used to examine the effects of climate change on US sectoral climatic regional energy demands from 1970 to 2014. The first order conditions of transcendental logarithm cost function provide sectorial compensated demands for energy. A system of demand share equations or sectorial compensated demand for energy is explained by exogenous prices, technology and distribution of climatic variables i.e. temperature and precipitation is estimated. The distribution includes the downside and upside first moment, i.e., mean and downside and upside second moment, i.e., variance. The estimated parameters are used to construct energy demand cross-price elasticities (CPE) and Allen elasticities of substitution (AES) for nine climatic regions. The Southwest, Northeast, and South are sensitive to rainfall distributions especially the transportation and industrial sectors while the Northeast, Central, and South are affected by temperature variations affecting residential and industrial sector energy use. The commercial sector uses the least energy because of improved technological changes. Consequently, there are high substitutions of commercial energy for both residential and industrial. The transportation sector has the least price and technical substitutions. Highlights Impact of distribution of climate on regional sectoral energy demand. SUR with commercial, industry, residential and transportation energy demand functions. Upside and downside first and second moments of temperature and precipitation. Empirical application involved panel data, 48 states from 1970 to 2014. Energy demand cross-price elasticities (CPE) and Allen elasticities of substitution (AES).


  • 주제어

    Regional energy demand .   Trans-log cost function .   Elasticity of substitution .   SUR model .   U.   S.   state data .   1970–2014.  

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