Research on Regional Energy Saving Potential Based on Nonparametric Radial Adjustment and Slack Adjustment

Authors: Donglan Zha, Ning Ding

Abstract:

Taking the provincial capital, labor and energy as inputs, regional GDP as output from 1995 to 2007, the paper quantifies the vertical and lateral energy saving potential by introducing the radial adjustment and slack adjustment of DEA. The results show that by the vertical, the achievement of energy saving in 2007 is better than their respective historical performances. By horizontal, in 2007 it can be found that Tianjin, Liaoning, Shanghai and Yunnan do better in energy saving than other provinces. In national wide, the higher of energy efficiency, the larger of per capita GDP and the proportion of the tertiary industry in the national economy, the more open to the outside, the lower the energy saving potential demonstrates, while the energy endowment has negative effect on energy saving potential.

Keywords: radial adjustment; slack adjustment; regional disparity; energy saving potential

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079374

References:

[1] Ang, B.W., 2004. "Decomposition analysis for policymaking in energy: which is the preferred method?" Energy Policy, 32, pp. 1131-1139.
[2] Ang, B.W., Mu, A.R., Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, 32(5), pp. 1209-1219.
[3] Murat, K., Kamola, K., 2007. "Energy saving potential in the residential sector of Uzbekistan," Energy, 32, pp. 1319-1325.
[4] Ouyang, Jinlong., Hokao, K., 2009. "Energy-saving potential by improving occupants- behavior in urban residential sector in Hangzhou City, China," Energy and Buildings, 41(7), pp. 711-720.
[5] Arroyo-Cabañas, F.G., Aguillón-Martínez, J.E., Ambríz-García, J.J., Canizal, G. 2009. "Electric energy saving potential by substitution of domestic refrigerators in Mexico," Energy Policy, 37(11), pp. 4737-4742.
[6] Shi, D., 2006. "Regional differences in China-s energy efficiency and conservation potentials," China Industrial Economy, 10, pp. 49-58.
[7] Wei, Y.M., Liao, H., Fan, Y. 2007. "China' s energy demand and conservation potential forecast during the 11th Five- Year Plan period," Bulletin of Chinese Academy of Sciences, 22(1), pp. 20-25.
[8] Wang Di et al., 2011. "Analysis of regional differences in energy consumption and energy saving potential for Yangtze River Delta," Energy Procedia, 5, pp. 690-694.
[9] Zhou, P., Ang, B.W., Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, 189, pp. 1-18.
[10] Charnes, A., Cooper, W.W., Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, 2, pp. 429-444.
[11] CNBSa (China-s National Bureau of Statistics), 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010. "China Statistic Yearbook 1998-2009," China Statistical Press, Beijing.
[12] CNBSb (China-s National Bureau of Statistics), 2000, 2003, 2005, 2006, 2007, 2008, 2009. "China Energy Statistic Yearbook 1997-1999, 2000-2002, 2004, 2005, 2006, 2007, 2008," China Statistical Press, Beijing.
[13] Goldsmith, R., 1951. "A perpetual inventory of national wealth," NBER studies in income and wealth, 14, pp. 1143.
[14] Shai, H.J., 2008. "Reestimating the Capital Stock of China: 1952-2006," The Journal of Quantitative & Technical Economics 10, pp. 17-31.