Research on Regional Energy Saving Potential Based on Nonparametric Radial Adjustment and Slack Adjustment
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.
[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.
[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.
@article{"International Journal of Earth, Energy and Environmental Sciences:61554", author = "Donglan Zha and Ning Ding", title = "Research on Regional Energy Saving Potential Based on Nonparametric Radial Adjustment and Slack Adjustment", 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", volume = "6", number = "8", pages = "542-7", }