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Low Carbon Economy Performance Analysis with the Intertemporal Effect of Capital in China

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  • Xinna Zhao

    (School of Economics & Management, Beijing Institute of Petrochemical Technology, 19 Qingyuan Road, Beijing 102617, China)

  • Chongwen Zhong

    (School of Economics & Management, Beijing Institute of Petrochemical Technology, 19 Qingyuan Road, Beijing 102617, China)

Abstract

The “New Normal” of Chinese economy represents the importance of economic performance. To analyze the provincial performance of the low-carbon economy in China, this paper constructed a three-stage dynamic Malmquist model considering the evolutionary promotion of productivity and technical progress. This paper incorporates the lag effect of capital accumulation into the performance evaluation to ensure transitivity and continuity. Furthermore, the inefficiency of the low-carbon economy arises from the disadvantages of resources endowments; therefore, it is necessary to eliminate these to evaluate managerial performance. This paper not only evaluates the provincial performance of the low-carbon economy but also suggests the sources and impetus of regional low-carbon economy development to find feasible transition paths. The empirical results reveal that the performance of the low-carbon economy presents a gradient distribution with obvious distinctions among the eastern, central, and western regions. Tianjin and Hebei should emphasize the optimal allocation of their own resources. Jiangxi and Hunan, by contrast, should focus on the perfection of the resources endowments.

Suggested Citation

  • Xinna Zhao & Chongwen Zhong, 2017. "Low Carbon Economy Performance Analysis with the Intertemporal Effect of Capital in China," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:5:p:853-:d:99188
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    as
    1. Lin Li & Fangfang Fan & Li Ma & Ziran Tang, 2016. "Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model," Sustainability, MDPI, vol. 8(7), pages 1-18, July.
    2. Holtz-Eakin, Douglas & Selden, Thomas M., 1995. "Stoking the fires? CO2 emissions and economic growth," Journal of Public Economics, Elsevier, vol. 57(1), pages 85-101, May.
    3. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    4. Kander, Astrid & Warde, Paul & Teives Henriques, Sofia & Nielsen, Hana & Kulionis, Viktoras & Hagen, Sven, 2017. "International Trade and Energy Intensity During European Industrialization, 1870–1935," Ecological Economics, Elsevier, vol. 139(C), pages 33-44.
    5. Astrid Kander & Magnus Jiborn & Daniel D. Moran & Thomas O. Wiedmann, 2015. "National greenhouse-gas accounting for effective climate policy on international trade," Nature Climate Change, Nature, vol. 5(5), pages 431-435, May.
    6. Chen, Wenying, 2005. "The costs of mitigating carbon emissions in China: findings from China MARKAL-MACRO modeling," Energy Policy, Elsevier, vol. 33(7), pages 885-896, May.
    7. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    8. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    9. Kennedy, Christopher & Steinberger, Julia & Gasson, Barrie & Hansen, Yvonne & Hillman, Timothy & Havránek, Miroslav & Pataki, Diane & Phdungsilp, Aumnad & Ramaswami, Anu & Mendez, Gara Villalba, 2010. "Methodology for inventorying greenhouse gas emissions from global cities," Energy Policy, Elsevier, vol. 38(9), pages 4828-4837, September.
    10. Dou, Xiangsheng, 2013. "Low Carbon-Economy Development: China's Pattern and Policy Selection," Energy Policy, Elsevier, vol. 63(C), pages 1013-1020.
    11. Warr, Benjamin & Ayres, Robert U., 2012. "Useful work and information as drivers of economic growth," Ecological Economics, Elsevier, vol. 73(C), pages 93-102.
    12. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    13. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    14. Harold Fried & Shelton Schmidt & Suthathip Yaisawarng, 1999. "Incorporating the Operating Environment Into a Nonparametric Measure of Technical Efficiency," Journal of Productivity Analysis, Springer, vol. 12(3), pages 249-267, November.
    15. Jui-Kou Shang & Wei-Ting Hung & Fei-Ching Wang, 2008. "Service outsourcing and hotel performance: three-stage DEA analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 15(13), pages 1053-1057.
    16. Lin, Boqiang & Sun, Chuanwang, 2010. "Evaluating carbon dioxide emissions in international trade of China," Energy Policy, Elsevier, vol. 38(1), pages 613-621, January.
    17. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    18. Reilly, John M., 2012. "Green growth and the efficient use of natural resources," Energy Economics, Elsevier, vol. 34(S1), pages 85-93.
    19. Ayres, Robert U. & Warr, Benjamin, 2005. "Accounting for growth: the role of physical work," Structural Change and Economic Dynamics, Elsevier, vol. 16(2), pages 181-209, June.
    20. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    21. V Giménez & D Prior & C Thieme, 2007. "Technical efficiency, managerial efficiency and objective-setting in the educational system: an international comparison," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 996-1007, August.
    22. Oh, Ilyoung & Wehrmeyer, Walter & Mulugetta, Yacob, 2010. "Decomposition analysis and mitigation strategies of CO2 emissions from energy consumption in South Korea," Energy Policy, Elsevier, vol. 38(1), pages 364-377, January.
    23. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    24. Tsutsui, Miki & Goto, Mika, 2009. "A multi-division efficiency evaluation of U.S. electric power companies using a weighted slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 43(3), pages 201-208, September.
    25. Kander, Astrid & Schon, Lennart, 2007. "The energy-capital relation--Sweden 1870-2000," Structural Change and Economic Dynamics, Elsevier, vol. 18(3), pages 291-305, September.
    26. Foxon, Timothy J., 2011. "A coevolutionary framework for analysing a transition to a sustainable low carbon economy," Ecological Economics, Elsevier, vol. 70(12), pages 2258-2267.
    27. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Shadman, Foroogh, 2014. "Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist–Luenberger Index measurement," Energy Policy, Elsevier, vol. 68(C), pages 132-145.
    28. Rui Zhao & Han Su & Xiaolang Chen & Yanni Yu, 2016. "Commercially Available Materials Selection in Sustainable Design: An Integrated Multi-Attribute Decision Making Approach," Sustainability, MDPI, vol. 8(1), pages 1-15, January.
    29. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    30. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    31. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    32. He, Feng & Zhang, Qingzhi & Lei, Jiasu & Fu, Weihui & Xu, Xiaoning, 2013. "Energy efficiency and productivity change of China’s iron and steel industry: Accounting for undesirable outputs," Energy Policy, Elsevier, vol. 54(C), pages 204-213.
    33. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    34. Herrala, Risto & Goel, Rajeev K., 2012. "Global CO2 efficiency: Country-wise estimates using a stochastic cost frontier," Energy Policy, Elsevier, vol. 45(C), pages 762-770.
    35. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, February.
    36. Ürge-Vorsatz, Diana & Kelemen, Agnes & Tirado-Herrero, Sergio & Thomas, Stefan & Thema, Johannes & Mzavanadze, Nora & Hauptstock, Dorothea & Suerkemper, Felix & Teubler, Jens & Gupta, Mukesh & Chatter, 2016. "Measuring multiple impacts of low-carbon energy options in a green economy context," Applied Energy, Elsevier, vol. 179(C), pages 1409-1426.
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    2. Derek Wang & Tianchi Li, 2018. "Carbon Emission Performance of Independent Oil and Natural Gas Producers in the United States," Sustainability, MDPI, vol. 10(1), pages 1-18, January.

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