Is the low-carbon economy efficient in terms of sustainable development? A global perspective
Yu Zhang
School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Search for more papers by this authorCorresponding Author
Liyin Shen
School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China
Correspondence
Liyin Shen, School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China.
Email: [email protected]
Search for more papers by this authorChenyang Shuai
School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Search for more papers by this authorYongtao Tan
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Search for more papers by this authorYitian Ren
School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China
Search for more papers by this authorYa Wu
School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China
Search for more papers by this authorYu Zhang
School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Search for more papers by this authorCorresponding Author
Liyin Shen
School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China
Correspondence
Liyin Shen, School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China.
Email: [email protected]
Search for more papers by this authorChenyang Shuai
School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Search for more papers by this authorYongtao Tan
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Search for more papers by this authorYitian Ren
School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China
Search for more papers by this authorYa Wu
School of Construction Management and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing, China
Search for more papers by this authorAbstract
Despite great efforts being devoted to, and substantial resources being consumed by low-carbon economy (LCE) development globally, it appears that little is known about whether LCE development is efficient. This paper measures low-carbon economy efficiency (LCEE) performance from a global perspective. The Super-slack-based measure model is adopted to analyse the LCEE performance of 115 sample countries during 1999–2013. The Malmquist Productivity Index is used to evaluate the dynamic change of LCEE between sample countries. The results indicate that overall worldwide LCEE performance is at low levels, and the differences in LCEE performance among the 115 sample countries are significant. It also indicates that LCEE performance is generally better in developed countries. From the dynamic perspective, a significant improvement in LCEE performance was achieved globally during the survey period, with an overall annual increase of 0.75%. These results provide a valuable reference to policy-makers and practitioners for adopting measures to promote LCE development effectively at a global level.
REFERENCES
- Ahmed, K. (2014). Environmental Kuznets curve for CO2 emission in Mongolia: an empirical analysis. Management of Environmental Quality, 25(4), 505–516.
10.1108/MEQ-03-2013-0017 Google Scholar
- Aker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. The Journal of Economic Perspectives, 24(3), 207–232.
- Allen, C., Metternicht, G., & Wiedmann, T. (2017). An iterative framework for national scenario modelling for the sustainable development goals (sdgs). Sustainable Development, 25(5), 372–385.
- Barbier, E. B. (2010). Global governance: The G20 and a global green new deal. Economics: The Open-Access, Open-Assessment E-Journal, 4(2010–2), 1–35.
10.5018/economics-ejournal.ja.2010-2 Google Scholar
- Beal, C. D., Bertone, E., & Stewart, R. A. (2012). Evaluating the energy and carbon reductions resulting from resource-efficient household stock. Energy and Buildings, 55, 422–432.
- Beltrán-Esteve, M., Reig-Martínez, E., & Estruch-Guitart, V. (2017). Assessing eco-efficiency: A metafrontier directional distance function approach using life cycle analysis. Environmental Impact Assessment Review, 63, 116–127.
- Biesbroek, G. R., Swart, R. J., Carter, T. R., Cowan, C., Henrichs, T., Mela, H., … Rey, D. (2010). Europe adapts to climate change: comparing national adaptation strategies. Global Environmental Change, 20(3), 440–450.
- Bimha, A., & Nhamo, G. (2017). Sustainable development, share price and carbon disclosure interactions: evidence from South Africa's JSE 100 companies. Sustainable Development, 25, 400–413.
- Bréchet, T., Camacho, C., & Veliov, V. M. (2014). Model predictive control, the economy, and the issue of global warming. Core Discussion Papers, 220(1), 25–48.
- Carbon Market Watch. (2017). Analysis of Europe's 2030 Climate Ambition. Retrieved from https://carbonmarketwatch.org/publications/analysis-of-europes-2030-climate-ambition/
- Chang, R., Zuo, J., Zhao, Z., Soebarto, V., Zillante, G., & Gan, X. (2017). Approaches for transitions towards sustainable development: status quo and challenges. Sustainable Development, 25, 359–371.
- Chang, Y., Zhang, N., Danao, D., & Zhang, N. (2013). Environmental efficiency analysis of transportation system in china: A non-radial DEA approach. Energy Policy, 58, 277–283.
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.
- Chen, J., Cheng, S., Song, M., & Wu, Y. (2016). A carbon emissions reduction index: Integrating the volume and allocation of regional emissions. Applied Energy, 184, 1154–1164.
- Chen, J., Shen, L., Song, X., Shi, Q., & Li, S. (2017). An empirical study on the co2 emissions in the Chinese construction industry. Journal of Cleaner Production, 168, 645–654.
- Chen, Q., Ouyang, Y., & Xu, X. (2015). A study on the low carbon economy efficiency of Chinese iron & steel companies and its influence factors. Xitong Gongcheng Lilun Yu Shijian/System Engineering Theory and Practice, 35(7), 1896–1904.
- Cherry, T., Garcia, J., Kallbekken, S., & Torvanger, A. (2014). The development and deployment of low-carbon energy technologies: The role of economic interests and cultural worldviews on public support. Energy Policy, 68, 562–566.
- Das, S., Mourmouras, A., & Rangazas, P. C. (2015). Economic growth and development: A dynamic dual economy approach ( 2015th ed.). Cham: Springer International Publishing.
10.1007/978-3-319-14265-4 Google Scholar
- DTI. (2003). Energy White Paper: Our Energy Future-creating a Low Carbon Economy. London: DTI. (In Chinese)
- Ellerman, A., & Buchner, B. (2007). The European Union Emissions Trading Scheme: Origins, allocation, and early results. Review of Environmental Economics and Policy, 1(1), 66–87.
- Färe, R., Grosskopf, S., & Norris, M. (1997). Productivity growth, technical progress, and efficiency change in industrialized countries: reply. The American Economic Review, 87(5), 1040–1044.
- Federal Office for the Environment. (2016). Retrieved from https://www.bafu.admin.ch/bafu/en/home/topics/climate/info-specialists/climate-policy.html
- Gémar, G., Gómez, T., Molinos-Senante, M., Caballero, R., & Sala-Garrido, R. (2018). Assessing changes in eco-productivity of wastewater treatment plants: The role of costs, pollutant removal efficiency, and greenhouse gas emissions. Environmental Impact Assessment Review, 69, 24–31.
- Guerrini, A., Romano, G., Leardini, C., & Martini, M. (2015). Measuring the efficiency of wastewater services through data envelopment analysis. Water Science and Technology, 71(12), 1845–1851.
- Gui-Diby, S. L., & Renard, M. F. (2015). Foreign direct investment inflows and the industrialization of African countries. World Development, 74, 43–57.
- Gullberg, A. T., Ohlhorst, D., & Schreurs, M. (2014). Towards a low carbon energy future–Renewable energy cooperation between Germany and Norway. Renewable Energy, 68, 216–222.
- Guo, L., Qu, Y., Wu, C., & Gui, S. (2018). Evaluating Green Growth Practices: Empirical Evidence from China. Sustainable Development, 26, 302–319.
- Hanke, S. H. (2008). Zimbabwe: From hyperinflation to growth. New Zanj Publishing.
- Holden, E., Linnerud, K., & Banister, D. (2017). The imperatives of sustainable development. Sustainable Development, 25(3), 213–226.
- Hu, H. H., Qi, Q., & Yang, C. H. (2012). Evaluation of China's regional hospital efficiency: DEA approach with undesirable output. Journal of the Operational Research Society, 63(6), 715–725.
- Intergovernmental Panel on Climate Change. (2013). Climate change 2013: the physical science basis: working group I contribution to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press.
- Jiang, B., Sun, Z., & Liu, M. (2010). China's energy development strategy under the low-carbon economy. Energy, 35(11), 4257–4264.
- Johnston, D., Lowe, R., & Bell, M. (2005). An exploration of the technical feasibility of achieving CO2 emission reductions in excess of 60% within the UK housing stock by the year 2050. Energy Policy, 33(13), 1643–1659.
- Kadarusman, Y. B., & Herabadi, A. G. (2018). Improving Sustainable Development within Indonesian Palm Oil: The Importance of the Reward System. Sustainable Development, 26, 422–434.
- Khanna, N., Fridley, D., & Hong, L. (2014). China's pilot low-carbon city initiative: A comparative assessment of national goals and local plans. Sustainable Cities and Society, 12, 110–121.
- Kim, K., Lee, D. J., Park, S., Zhang, Y., & Sultanov, A. (2015). Measuring the efficiency of the investment for renewable energy in Korea using data envelopment analysis. Renewable and Sustainable Energy Reviews, 47, 694–702.
- Lábaj, M., Luptáčik, M., & Nežinský, E. (2014). Data envelopment analysis for measuring economic growth in terms of welfare beyond GDP. Empirica, 41(3), 407–424.
- Li, H., Fang, K., Yang, W., Wang, D., & Hong, X. (2013). Regional environmental efficiency evaluation in china: Analysis based on the super-SBM model with undesirable outputs. Mathematical and Computer Modelling, 58(5–6), 1018–1031.
10.1016/j.mcm.2012.09.007 Google Scholar
- Li, H., Hu, J., & Zhang, W. (2017). Regional differences between the rate of change of CO2 emission intensity of Chinese provinces and implications for sustainable development. Sustainable Development, 26, 321–336.
- Li, H., & Shi, J. F. (2014). Energy efficiency analysis on Chinese industrial sectors: an improved Super-SBM model with undesirable outputs. Journal of Cleaner Production, 65, 97–107.
- Lin, B., & Li, X. (2011). The effect of carbon tax on per capita CO2 emissions. Energy Policy, 39(9), 5137–5146.
- Liu, X., & Liu, J. (2016). Measurement of low carbon economy efficiency with a three-stage data envelopment analysis: A comparison of the largest twenty CO2 emitting countries. International Journal of Environmental Research and Public Health, 13(11), 1116.
- López, F. J., Ho, J. C., & Ruiz-Torres, A. J. (2016). A computational analysis of the impact of correlation and data translation on DEA efficiency scores. Journal of Industrial and Production Engineering, 33(3), 192–204.
- Lozano, S., & Gutiérrez, E. (2011). Slacks-based measure of efficiency of airports with airplanes delays as undesirable outputs. Computers and Operations Research, 38(1), 131–139.
- Mahlich, J., & Pascha, W. (2012). Korean science and technology in an international perspective. Springer-Verlag.
10.1007/978-3-7908-2753-8 Google Scholar
- McDonald, R. I., Fargione, J., Kiesecker, J., Miller, W. M., & Powell, J. (2009). Energy sprawl or energy efficiency: Climate policy impacts on natural habitat for the United States of America. PLoS One, 4(8), e6802.
- Meng, M., Fu, Y., Wang, T., & Jing, K. (2017). Analysis of low-carbon economy efficiency of Chinese industrial sectors based on a RAM model with undesirable outputs. Sustainability, 9(3), 451. National Environment Agency (2017). Retrieved from http://www.nea.gov.sg/
- Nhamo, G. (2017). New global sustainable development agenda: a focus on Africa. Sustainable Development, 25(3), 227–241.
- Ranson, M., & Stavins, R. N. (2016). Linkage of greenhouse gas emissions trading systems: Learning from experience. Climate Policy, 16(3), 284–300.
- Safaai, N. S. M., Noor, Z. Z., Hashim, H., Ujang, Z., & Talib, J. (2011). Projection of CO2 emissions in Malaysia. Environmental Progress & Sustainable Energy, 30(4), 658–665.
- Shen, L., Chen, Y., Li, H., Wei, X., & Ren, Y. (2018a). Development orientations for attracting investments – a perspective of less-developed townships in China. Cities, 76, 84–95.
- Shen, L., Ren, Y., Xiong, N., Li, H., & Chen, Y. (2018b). Why small towns can not share the benefits of urbanization in China? Journal of Cleaner Production, 174, 728–738.
- Shen, L., Shuai, C., Jiao, L., Tan, Y., & Song, X. (2017). Dynamic sustainability performance during urbanization process between BRICS countries. Habitat International, 60, 19–33.
- Shimada, K., Tanaka, Y., Gomi, K., & Matsuoka, Y. (2007). Developing a long-term local society design methodology towards a low-carbon economy: An application to shiga prefecture in Japan. Energy Policy, 35(9), 4688–4703.
- Shuai, C., Chen, X., Shen, L., Jiao, L., Wu, Y., & Tan, Y. (2017a). The turning points of carbon kuznets curve: evidences from panel and time-series data of 164 countries. Journal of Cleaner Production, 162, 1031–1047.
- Shuai, C., Chen, X., Wu, Y., Tan, Y., Zhang, Y., & Shen, L. (2018). Identifying the key impact factors of carbon emission in china: results from a largely expanded pool of potential impact factors. Journal of Cleaner Production, 175, 612–623.
- Shuai, C., Shen, L., Jiao, L., Wu, Y., & Tan, Y. (2017b). Identifying key impact factors on carbon emission: evidences from panel and time-series data of 125 countries from 1990 to 2011. Applied Energy, 187, 310–325.
- Singh, B., Ellingsen, L. A., & Strømman, A. H. (2015). Pathways for GHG emission reduction in Norwegian road transport sector: Perspective on consumption of passenger car transport and electricity mix. Transportation Research Part D, 41, 160–164.
- State Department Documents. (2011). U.S.-Norway cooperation on low-carbon economy. Lanham: Federal Information & News Dispatch, Inc.
- Staub, R. B., da Silva e Souza, G., & Tabak, B. M. (2010). Evolution of bank efficiency in Brazil: A DEA approach. European Journal of Operational Research, 202(1), 204–213.
- Stern, N. (2008). The economics of climate change. The American Economic Review, 98(2), 1–37.
- Strezov, V., Evans, A., & Evans, T. J. (2017). Assessment of the Economic, Social and Environmental Dimensions of the Indicators for Sustainable Development. Sustainable Development, 25(3), 242–253.
- Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498–509.
- Tone, K. (2002). A slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143(1), 32–41.
- Tone, K. (2003). Dealing with undesirable outputs in DEA: A slacks-based measure (SBM) approach. GRIPS Research Report Series, GRIPS Policy Information Center.
- Vielle, M., & Thalmann, P. (2015). An ex-post evaluation of the effectiveness of the Swiss CO2 levy: Final report Module B (No. EPFL-REPORT-215052).
- Wang, C., Zhao, D., Tsutsumi, A., & You, S. (2017). Sustainable energy technologies for energy saving and carbon emission reduction. Applied Energy, 194, 223–224.
- Wang, J., Zhao, T., & Zhang, X. (2016). Environmental assessment and investment strategies of provincial industrial sector in China—Analysis based on DEA model. Environmental Impact Assessment Review, 60, 156–168.
- Wichaisri, S., & Sopadang, A. (2018). Trends and future directions in sustainable development. Sustainable Development, 26(1), 1–17.
- Window of China. (2007). Hu Jintao expounds China's stance on climate change at APEC meeting. Retrieved from http://news.xinhuanet.com/english/2007-09/08/content_6687377.htm
- World Bank. (2013a). Retrieved from http://data.worldbank.org/indicator/NY.GDP.MKTP.CD?end=2013&start=1980&view=chart
- World Bank. (2013b). Retrieved from http://data.worldbank.org/indicator/EN.ATM.CO2E.KT?end=2013&start=1980&view=chart
- World Bank. (2013c). Retrieved from https://data.worldbank.org/indicator/EG.ELC.FOSL.ZS?view=chart
- World Bank. (2013d). Retrieved from https://data.worldbank.org/indicator
- World Bank. (2014). Retrieved from https://data.worldbank.org/indicator/NV.IND.TOTL.ZS/
- World Bank. (2016). Retrieved from https://data.worldbank.org/indicator/NY.GDP.PCAP.KD?view=chart
- Wu, F., Fan, L. W., Zhou, P., & Zhou, D. Q. (2012). Industrial energy efficiency with CO 2 emissions in China: a nonparametric analysis. Energy Policy, 49, 164–172.
- Yang, Y. (2012). Research on Evaluation of Sichuan Low-carbon Economy Efficiency. China Population, Resources and Environment, 22(6), 55–56.
- Zhang, J., Zeng, W., Wang, J., Yang, F., & Jiang, H. (2015). Regional low-carbon economy efficiency in China: Analysis based on the super-SBM model with CO2 emissions. Journal of Cleaner Production, 163, 202–211.
- Zhao, X., & Zhong, C. (2017). Low carbon economy performance analysis with the intertemporal effect of capital in china. Sustainability, 9(5), 853.
- Zhou, L. (2014). Energy efficiency and investments in low-carbon economy: the impact of carbon finance on sustainability development. Journal of Chemical and Pharmaceutical Research, 6, 1255–1261.
- Zhou, Z., & Hu, J. (2013). Research on Performance Evaluation of Low-carbon Economic Development Based on Super-SBM Model [J]. Resource. Science, 35, 2457–2466.