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Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China

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  • Tzu-Yu Lin

    (Accounting School, Nanfang College of Sun Yat-Sen University, Guangzhou 510275, China)

  • Sheng-Hsiung Chiu

    (Accounting School, Nanfang College of Sun Yat-Sen University, Guangzhou 510275, China)

Abstract

In the 13th Five-Year Plan, the Chinese government declared that one of the sustainable policy priorities is improving the energy supply composition in order to reduce greenhouse gas emissions. In accordance with the Plan, the Guangdong government subsequently planned to invest in low-carbon energy infrastructure from 2016 to 2020. Using data from Guangdong province and other regions in China for 2007–2016, we propose a two-stage network data envelopment analysis (Network DEA) model to examine the sustainable performance of the Chinese regional/provincial economic system. We postulated that the less sustainable performance of Chinese regional economic systems may be attributed to lower energy productivity performance. However, we found that increased governmental and industrial spending on electricity mix improvement by building new low-carbon power plants created momentum in Guangdong’s economic growth, which experienced an annual rise of roughly 1.16%. Finally, the results from the two-stage Network DEA model showed that Guangdong fared better than other provinces with respect to sustainable performance. Investment in low-carbon energy infrastructure is not only a measure to combat CO 2 emission, but could act as the driving force of regional economic systems.

Suggested Citation

  • Tzu-Yu Lin & Sheng-Hsiung Chiu, 2018. "Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4657-:d:188619
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    References listed on IDEAS

    as
    1. Kao, Chiang, 2009. "Efficiency decomposition in network data envelopment analysis: A relational model," European Journal of Operational Research, Elsevier, vol. 192(3), pages 949-962, February.
    2. Randall Jackson & Alan Murray, 2004. "Alternative Input-Output Matrix Updating Formulations," Economic Systems Research, Taylor & Francis Journals, vol. 16(2), pages 135-148.
    3. Manfred Lenzen & Blanca Gallego & Richard Wood, 2009. "Matrix Balancing Under Conflicting Information," Economic Systems Research, Taylor & Francis Journals, vol. 21(1), pages 23-44.
    4. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    5. Galagedera, Don U.A. & Roshdi, Israfil & Fukuyama, Hirofumi & Zhu, Joe, 2018. "A new network DEA model for mutual fund performance appraisal: An application to U.S. equity mutual funds," Omega, Elsevier, vol. 77(C), pages 168-179.
    6. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    7. Makoto Sugino & Minoru Morita & Kazuyuki Iwata & Toshi. H. Arimura, 2017. "Multiplier impacts and emission reduction effects of Joint Crediting Mechanism: analysis with a Japanese and international disaggregated input–output table," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(3), pages 635-657, July.
    8. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    9. Chang, Young-Tae & Shin, Sung-Ho & Lee, Paul Tae-Woo, 2014. "Economic impact of port sectors on South African economy: An input–output analysis," Transport Policy, Elsevier, vol. 35(C), pages 333-340.
    10. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
    11. Okkonen, Lasse & Lehtonen, Olli, 2017. "Local, regional and national level of the socioeconomic impacts of a bio-oil production system – A case in Lieksa, Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 103-111.
    12. Yeh, Tsai-lien & Chen, Tser-yieth & Lai, Pei-ying, 2010. "A comparative study of energy utilization efficiency between Taiwan and China," Energy Policy, Elsevier, vol. 38(5), pages 2386-2394, May.
    13. Byun, Jeongeun & Park, Hyun-woo & Hong, Jae Pyo, 2017. "An international comparison of competitiveness in knowledge services," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 203-213.
    14. Lee, Min-Kyu & Yoo, Seung-Hoon, 2016. "The role of transportation sectors in the Korean national economy: An input-output analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 13-22.
    15. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    16. Hiramatsu, Tomoru & Inoue, Hiroki & Kato, Yasuhiko, 2016. "Estimation of interregional input–output table using hybrid algorithm of the RAS method and real-coded genetic algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 385-402.
    17. Tzu-Yu Lin & Sheng-Hsiung Chiu & Hai-Lan Yang, 2018. "Measuring the Sustainable Performance of Industrial and Commercial Service Industries in Taiwan," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 6(4), pages 391-402, December.
    18. Sabiroglu, Ilkin M. & Bashirli, Samad, 2012. "Input–output analysis in an oil-rich economy: The case of Azerbaijan," Resources Policy, Elsevier, vol. 37(1), pages 73-80.
    19. Nakano, Satoshi & Arai, Sonoe & Washizu, Ayu, 2018. "Development and application of an inter-regional input-output table for analysis of a next generation energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2834-2842.
    20. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    21. Suzuki, Soushi & Nijkamp, Peter, 2016. "An evaluation of energy-environment-economic efficiency for EU, APEC and ASEAN countries: Design of a Target-Oriented DFM model with fixed factors in Data Envelopment Analysis," Energy Policy, Elsevier, vol. 88(C), pages 100-112.
    22. Lin, Tzu-Yu & Chiu, Sheng-Hsiung, 2013. "Using independent component analysis and network DEA to improve bank performance evaluation," Economic Modelling, Elsevier, vol. 32(C), pages 608-616.
    23. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    24. Hughes, David W., 2003. "Policy Uses of Economic Multiplier and Impact Analysis," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 18(2), pages 1-6.
    25. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
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