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Evaluation of Chinese natural gas investment along the Belt and Road Initiative using super slacks-based measurement of efficiency method

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  • Zhou, Na
  • Wu, Qiaosheng
  • Hu, Xiangping
  • Xu, Deyi
  • Wang, Xiaolin

Abstract

Belt and Road Initiative (BRI) provides new opportunity for China to enhance the security of natural gas but with potential challenges. The objective of this study was to scientifically assess China's natural gas investment (NGI) along BRI so as to improve its investment performance. We used the super slacks-based measurement of efficiency (SE-SBM) method to construct a linear programming model for NGI performance considering the resource status, political situation, eco-tech environment, social conditions, market quality, and international cooperation. The mean value of NGI from 2003 to 2013 was used to classify countries along BRI into three clusters, namely high, middle and low efficiency zones. Combined with scale of returns and the dual price analysis of input factors, we put forward the improvement path of NGI in target countries in different zones.

Suggested Citation

  • Zhou, Na & Wu, Qiaosheng & Hu, Xiangping & Xu, Deyi & Wang, Xiaolin, 2020. "Evaluation of Chinese natural gas investment along the Belt and Road Initiative using super slacks-based measurement of efficiency method," Resources Policy, Elsevier, vol. 67(C).
  • Handle: RePEc:eee:jrpoli:v:67:y:2020:i:c:s0301420719302302
    DOI: 10.1016/j.resourpol.2020.101668
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    References listed on IDEAS

    as
    1. Lu, Weiwei & Su, Meirong & Fath, Brian D. & Zhang, Mingqi & Hao, Yan, 2016. "A systematic method of evaluation of the Chinese natural gas supply security," Applied Energy, Elsevier, vol. 165(C), pages 858-867.
    2. Zeng, Bo & Li, Chuan, 2016. "Forecasting the natural gas demand in China using a self-adapting intelligent grey model," Energy, Elsevier, vol. 112(C), pages 810-825.
    3. Haitao Guo & Yongsheng Wang & Zhongmin Wang, 2016. "Shale Development and China," Natural Resource Management and Policy, in: Yongsheng Wang & William E. Hefley (ed.), The Global Impact of Unconventional Shale Gas Development, pages 131-147, Springer.
    4. Polzin, Friedemann & Migendt, Michael & Täube, Florian A. & von Flotow, Paschen, 2015. "Public policy influence on renewable energy investments—A panel data study across OECD countries," Energy Policy, Elsevier, vol. 80(C), pages 98-111.
    5. Francois, Joseph & Manchin, Miriam, 2013. "Institutions, Infrastructure, and Trade," World Development, Elsevier, vol. 46(C), pages 165-175.
    6. Meschede, Henning & Dunkelberg, Heiko & Stöhr, Fabian & Peesel, Ron-Hendrik & Hesselbach, Jens, 2017. "Assessment of probabilistic distributed factors influencing renewable energy supply for hotels using Monte-Carlo methods," Energy, Elsevier, vol. 128(C), pages 86-100.
    7. Du, Julan & Zhang, Yifei, 2018. "Does One Belt One Road initiative promote Chinese overseas direct investment?," China Economic Review, Elsevier, vol. 47(C), pages 189-205.
    8. 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.
    9. Leng, Zhihui & Shuai, Jing & Sun, Han & Shi, Zhiyao & Wang, Zihan, 2020. "Do China's wind energy products have potentials for trade with the “Belt and Road” countries? -- A gravity model approach," Energy Policy, Elsevier, vol. 137(C).
    10. Wang, Derek & Li, Shanling & Sueyoshi, Toshiyuki, 2014. "DEA environmental assessment on U.S. Industrial sectors: Investment for improvement in operational and environmental performance to attain corporate sustainability," Energy Economics, Elsevier, vol. 45(C), pages 254-267.
    11. al Irsyad, M. Indra & Halog, Anthony & Nepal, Rabindra, 2018. "Estimating the impacts of financing support policies towards photovoltaic market in Indonesia: A social-energy-economy-environment (SE3) model simulation," Working Papers 2018-09, University of Tasmania, Tasmanian School of Business and Economics.
    12. Shaikh, Faheemullah & Ji, Qiang & Fan, Ying, 2016. "Prospects of Pakistan–China Energy and Economic Corridor," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 253-263.
    13. Alameer, Zakaria & Fathalla, Ahmed & Li, Kenli & Ye, Haiwang & Jianhua, Zhang, 2020. "Multistep-ahead forecasting of coal prices using a hybrid deep learning model," Resources Policy, Elsevier, vol. 65(C).
    14. Bompard, E. & Carpignano, A. & Erriquez, M. & Grosso, D. & Pession, M. & Profumo, F., 2017. "National energy security assessment in a geopolitical perspective," Energy, Elsevier, vol. 130(C), pages 144-154.
    15. Wang, Keying & Wu, Meng & Sun, Yongping & Shi, Xunpeng & Sun, Ao & Zhang, Ping, 2019. "Resource abundance, industrial structure, and regional carbon emissions efficiency in China," Resources Policy, Elsevier, vol. 60(C), pages 203-214.
    16. Wu, Yunna & Wang, Jing & Ji, Shaoyu & Song, Zixin, 2020. "Renewable energy investment risk assessment for nations along China’s Belt & Road Initiative: An ANP-cloud model method," Energy, Elsevier, vol. 190(C).
    17. Wu, Kang, 2014. "China׳s energy security: Oil and gas," Energy Policy, Elsevier, vol. 73(C), pages 4-11.
    18. Li, Yanbin & Li, Yun & Wang, Bingqian & Chen, Zhuoer & Nie, Dan, 2016. "The status quo review and suggested policies for shale gas development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 420-428.
    19. Lamb, John D. & Tee, Kai-Hong, 2012. "Resampling DEA estimates of investment fund performance," European Journal of Operational Research, Elsevier, vol. 223(3), pages 834-841.
    20. Banker, Rajiv & Chen, Janice Y.S. & Klumpes, Paul, 2016. "A trade-level DEA model to evaluate relative performance of investment fund managers," European Journal of Operational Research, Elsevier, vol. 255(3), pages 903-910.
    21. Yuan, Jiahai & Li, Xinying & Xu, Chuanbo & Zhao, Changhong & Liu, Yuanxin, 2019. "Investment risk assessment of coal-fired power plants in countries along the Belt and Road initiative based on ANP-Entropy-TODIM method," Energy, Elsevier, vol. 176(C), pages 623-640.
    22. Zhang, Jing, 2019. "Oil and gas trade between China and countries and regions along the ‘Belt and Road’: A panoramic perspective," Energy Policy, Elsevier, vol. 129(C), pages 1111-1120.
    23. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
    24. Paramati, Sudharshan Reddy & Ummalla, Mallesh & Apergis, Nicholas, 2016. "The effect of foreign direct investment and stock market growth on clean energy use across a panel of emerging market economies," Energy Economics, Elsevier, vol. 56(C), pages 29-41.
    25. Kazunobu Hayakawa & Hyun-Hoon Lee & Donghyun Park, 2014. "Are Investment Promotion Agencies Effective in Promoting Outward Foreign Direct Investment? The Cases of Japan and Korea," Asian Economic Journal, East Asian Economic Association, vol. 28(2), pages 111-138, June.
    26. Pereira, Edinaldo José da Silva & Pinho, João Tavares & Galhardo, Marcos André Barros & Macêdo, Wilson Negrão, 2014. "Methodology of risk analysis by Monte Carlo Method applied to power generation with renewable energy," Renewable Energy, Elsevier, vol. 69(C), pages 347-355.
    27. Arnold, Uwe & Yildiz, Özgür, 2015. "Economic risk analysis of decentralized renewable energy infrastructures – A Monte Carlo Simulation approach," Renewable Energy, Elsevier, vol. 77(C), pages 227-239.
    28. Yung-Ho Chiu & Yu-Chuan Chen & Xue-Jie Bai, 2011. "Efficiency and risk in Taiwan banking: SBM super-DEA estimation," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 587-602.
    29. Yu, Shu & Qian, Xingwang & Liu, Taoxiong, 2019. "Belt and road initiative and Chinese firms' outward foreign direct investment," Emerging Markets Review, Elsevier, vol. 41(C).
    30. Liu, Chang & Sun, Xiaolei & Chen, Jianming & Li, Jianping, 2016. "Statistical properties of country risk ratings under oil price volatility: Evidence from selected oil-exporting countries," Energy Policy, Elsevier, vol. 92(C), pages 234-245.
    31. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    32. Zhong, Wei & Yuan, Wei & Li, Susan X. & Huang, Zhimin, 2011. "The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data," Omega, Elsevier, vol. 39(4), pages 447-455, August.
    33. Liedtke, Stephan, 2017. "Chinese energy investments in Europe: An analysis of policy drivers and approaches," Energy Policy, Elsevier, vol. 101(C), pages 659-669.
    34. Yao, Lixia & Chang, Youngho, 2015. "Shaping China's energy security: The impact of domestic reforms," Energy Policy, Elsevier, vol. 77(C), pages 131-139.
    35. Zhao, Yabo & Liu, Xiaofeng & Wang, Shaojian & Ge, Yuejing, 2019. "Energy relations between China and the countries along the Belt and Road: An analysis of the distribution of energy resources and interdependence relationships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 133-144.
    36. Selwyn J. V. Moons & Peter A. G. Bergeijk, 2017. "Does Economic Diplomacy Work? A Meta-analysis of Its Impact on Trade and Investment," The World Economy, Wiley Blackwell, vol. 40(2), pages 336-368, February.
    37. Jing Li & Klaus E Meyer & Hua Zhang & Yuan Ding, 2018. "Diplomatic and corporate networks: Bridges to foreign locations," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(6), pages 659-683, August.
    38. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    39. Huang, Yiping, 2016. "Understanding China's Belt & Road Initiative: Motivation, framework and assessment," China Economic Review, Elsevier, vol. 40(C), pages 314-321.
    40. Biresselioglu, Mehmet Efe & Kilinc, Dilara & Onater-Isberk, Esra & Yelkenci, Tezer, 2016. "Estimating the political, economic and environmental factors’ impact on the installed wind capacity development: A system GMM approach," Renewable Energy, Elsevier, vol. 96(PA), pages 636-644.
    41. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    42. Hui Li & Kangyin Dong & Hongdian Jiang & Renjin Sun & Xiaoyue Guo & Yiqiao Fan, 2017. "Risk Assessment of China’s Overseas Oil Refining Investment Using a Fuzzy-Grey Comprehensive Evaluation Method," Sustainability, MDPI, vol. 9(5), pages 1-18, April.
    43. Zhang, Cui, 2017. "Political connections and corporate environmental responsibility: Adopting or escaping?," Energy Economics, Elsevier, vol. 68(C), pages 539-547.
    44. Zeng, Shihong & Liu, Yuchen & Liu, Chao & Nan, Xin, 2017. "A review of renewable energy investment in the BRICS countries: History, models, problems and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 860-872.
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