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Evaluation of green growth efficiency of oil and gas resource-based cities in China

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Abstract

This study takes China's oil and gas resource-based cities as the research object and builds a green growth efficiency evaluation index system from the four dimensions of social economy, resources and environment, science and technology, and government policy. Based on the non-radial and non-angle SBM model combining with the Malmquist–Luenberger (ML) index model for undesired output, it measures the green growth efficiency of oil and gas resource-based cities in China from 2010 to 2017 from both static and dynamic perspectives. It also analyzes the changing trend and room for growth of the green growth level of oil and gas resource-based cities. The results show that: (1) Using the combined SBM and ML methods can scientifically evaluate the green growth efficiency of China's oil and gas resource-based cities; (2) The green growth level of China's oil and gas resource-based cities generally rose first in 2010–2017 and then showed the declining wave momentum. The green growth efficiency has a lot of room for improvement; (3) The green technology progress index (TC) shows a U-shaped changing trend, and however, the TC is greater than 0.7 and approaching to 1 between 2011 and 2017, indicating that green technology progress has a promoting effect on green growth efficiency; (4) Indicating green technological progress is the main factor for improving the green growth efficiency of oil and gas resource-based cities.

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References

  • Research base of scientific development concept and economic sustainable development of Beijing Normal University. 2012 China green index annual report - regional comparison. Beijing: Beijing Normal University Press 2012

  • Carson R (1987) Silent spring. Forestry 304:704

    Google Scholar 

  • Colby ME (1991) Environmental management in development:The evolution of paradigms. Ecol Econ 3(3): 01–213

  • Fare R, Grosskopf S, Lindgren B (1992) Productivity changes in Swedish pharmacies 1980–1989: a non-parametric Malmquist approach. J Prod Anal 3:81–97

    Google Scholar 

  • Fisher-Vanden K, Jefferson GH, Liu H (2004) What is driving China’s decline in energy intensity? Resou Energy Econ 26:77–97

    Article  Google Scholar 

  • GGGI. GGGI informational brochure. Seoul: GGGI 2010

  • Guo YH (2020) The effect of industrial agglomeration on green development efficiency in Northeast China since the revitalization. J Clean Prod 258:1–15

    Google Scholar 

  • Hallegatte SH, Geoffrey MF (2011) From growth to green growth-a framework. Social ence Electronic Publishin

  • Jacobs M (2013) The handbook of global climate and environment policy

  • Jiao LL, Guo LL, Wu CY (2018) Research on the measurement of green growth efficiency of coastal cities in China. Sci Technol Manag Res 038:241–246

    Google Scholar 

  • Khan JS, Zakaria R, Aminudin E et al (2019) Embedded life cycle costing elements in green building rating tool [J]. Civ Eng J 5(4):750–758

    Article  Google Scholar 

  • Kim SE, Kim H, Chae Y (2014) A new approach to measuring green growth: application to the OECD and Korea. Futures 63:37–48

    Article  Google Scholar 

  • Kumar S (2006) Environmentally sensitive productivity growth: a global analysis using Malmquist-Luenberger index. Ecol Econ 56:280–293

    Article  Google Scholar 

  • Li YC, Hou XN, Wu GC (2016) Sustainable development of resource-based cities based on green growth. J Henan Agric Univ 050:404–410

    Google Scholar 

  • Lu XF, Lu XL (2016) Evaluation of green growth capacity of resource-based cities. Sci Res Manag 037:89–97

    CAS  Google Scholar 

  • Max N, Lars R, Rasmus N (2014) Green growth in fisheries. Mar Pol 46(5):43–52

    Google Scholar 

  • Michael EC (1991) Environmental management in development the evolution of paradigms. Ecol Econ 3:0–213

    CAS  Google Scholar 

  • Ming CQ, Zhong SH (2013) Review on the research of “green growth evaluation” abroad. Soc Sci Abroad 5:75–84

    Google Scholar 

  • OECD. Declaration on green growth .Singapore 2009.

  • OECD (2010) Interim Report of the Green Growth Strategy - Implementing our commitment for a sustainable future. sourceoecd environment & sustainable development 95:1–94

  • OECD (2011) Towards green growth: monitoring progress OECD indicator. OECD

  • Okeke FO, Ibem E, Akabuilo UC et al (2020) City as habitat; assembling the Fragile City [J]. Civ Eng J 6(6):1143–1154

    Article  Google Scholar 

  • Pierce DW, Anil M (1989) Blueprint for a green economy. Earthscan, London

    Google Scholar 

  • Pinheiro AP (2020) Architectural rehabilitation and sustainability of green buildings in historic preservation [J]. http://doi.org/https://doi.org/10.28991/HIJ-2020-01-04-04

  • Platform GGK (2013) Moving towards a common approach on green growth indicators. green growth knowledge platform

  • Publishing O (2011) OECD Green Growth Studies Towards Green Growth: Monitoring Progress: OECD Indicators. Sourceoecd environment & sustainable development 7:1–146

  • Qu YG (2015) Research on R & D innovation efficiency and total factor productivity of industrial enterprises from the perspective of green growth. Sci Technol Manag Res 35:48–53

    Google Scholar 

  • Qu Y, Liu W, Zhou WJ (2017) Green growth efficiency measurement of pollution intensive industries in Liaoning Province. Sci Technol Manag 19:1–7

    CAS  Google Scholar 

  • Reilly JM (2012) Green growth and the efficient use of natural resources. Energy Econ 34:S85–S93. https://doi.org/10.1016/j.eneco.2012.08.033

    Article  Google Scholar 

  • Saufi NAA, Daud SHH (2016) Green growth and corporate sustainability performance. Procedia Econ Finan 35:374–378

    Article  Google Scholar 

  • Schmalensee R (2012) From “Green Growth” to sound policies: an overview. Energy Econ 34:2–6

    Article  Google Scholar 

  • Sustainable development strategy research group of Chinese Academy of Sciences (2011). 2011 China sustainable development strategy report: realizing green economic transformation [M]. Science Press.

  • UNESCAP.MCED 2005 bulletin: a summary report of the fifth ministerial conference on environment and development in Asia and the Pacific.Souel:International Institute for Sustainable Development(IISD) 2005

  • Sten M (1953) Index numbers and indifference surfaces. Trabajos De Estadistica 4:209–242

    Article  Google Scholar 

  • Sun JL, Zhu PY (2019) One of the key provinces one belt, one road, based on SBM-Malmquist-Tobit, and the evaluation of green economic efficiency and its influencing factors. Sci Technol Manag Res 39:230–237

    Google Scholar 

  • Tone KA (2001) Slacks-based measure of efficiency in data envelopment analysis. Eur J Op Res 3:498–509

    Article  Google Scholar 

  • Translated by Zheng, T. T., translated by Wei, L. J. Basic law of low carbon and green growth in South Korea. Journal of Nanjing University of Technology (SOCIAL SCIENCE EDITION) 2013; 03: 23–36

  • UNEP. Measuring progress towards an inclusive green economy. UNEP 2012

  • Vazquez-Brust D, Smith AM, Sarkis J (2014) Managing the transition to critical green growth: The ‘Green Growth State.’ Futures 64:38–50

    Article  Google Scholar 

  • World Bank. Inclusive green growth: the pathway to sustainable development. World Bank 2012

  • Yu WS, Wu CY, Guo LL (2015) Green growth evaluation of countries based on doughnut theory. Econ Manag Res 36:3–9

    CAS  Google Scholar 

  • Zhang JX, Wang XW (2013) Study on green growth index and its influencing factors of regional industry in China. Soft Sci 10:96–100

    CAS  Google Scholar 

  • Zhang HC, Li F, Zhang JP (2017) Evaluation of two-stage technological innovation efficiency of resource-based regional industrial enterprises from the perspective of green growth. Sci Technol Manag Res 8:69–76

    Google Scholar 

  • Zhao Ao, Guo JF (2017) Evaluation of green growth in China - integration based on rough set, catastrophe progression model and TOPSIS method. Technol Econ 36(12):123–130

    Google Scholar 

  • Zhu BZ, Zhang MF (2019) Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: a novel integrated approach. Energy Pol 134:1–13

    Article  Google Scholar 

  • Zhu BZ, Zhang MF (2020) Exploring the effect of carbon trading mechanism on China’s green development efficiency: a novel integrated approach. Energy Econ 85:1–16

    Article  Google Scholar 

Download references

Acknowledgements

The authors appreciate the financial support provided by National Social Science Foundation of China (NO.19BJY068), Heilongjiang Province Educational Science Planning Key Project (NO.GJB1319022), Daqing Philosophy and Social Science Planning Project (NO.DSGB2020033).

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Correspondence to Yaoyao Li.

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An approach integrating SBM and Malmquist–Luenberger index methods to evaluate green growth efficiency of oil and gas resource-based cities in China.

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Wang, Y., Li, Y., Zhu, Z. et al. Evaluation of green growth efficiency of oil and gas resource-based cities in China. Clean Techn Environ Policy 23, 1785–1795 (2021). https://doi.org/10.1007/s10098-021-02060-9

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