IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2019i1p268-d303460.html
   My bibliography  Save this article

Research on the Industrial Energy Eco-Efficiency Evolution Characteristics of the Yangtze River Economic Belt in the Temporal and Spatial Dimension, China

Author

Listed:
  • Zhonglin Tang

    (Research Center for Economy of Upper Reaches of the Yangtze River & School of Economics, Chongqing Technology and Business University, Chongqing 400067, China
    China-Croatia “Belt and Road” Joint Laboratory on Biodiversity and Ecosystem Services, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China)

  • Geng Sun

    (China-Croatia “Belt and Road” Joint Laboratory on Biodiversity and Ecosystem Services, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China)

  • Min Fu

    (School of Intelligent Manufacturing, Chongqing Industry Polytechnic College, Chongqing 401120, China)

  • Chuanhao Wen

    (Research Center for Economy of Upper Reaches of the Yangtze River & School of Economics, Chongqing Technology and Business University, Chongqing 400067, China
    School of Economics, Yunnan University, Kunming 650091, China)

  • Anđelka Plenković-Moraj

    (Department of Biology, Faculty of Science, University of Zagreb, Rooseveltov trg 6, 10000 Zagreb, Croatia)

Abstract

Based on the panel data of the 11 provinces along the Yangtze River Economic Belt from 1997 to 2015, the super slack-based model (Super-SBM) model is adopted to calculate the provincial-level eco-efficiency of industrial energy. While bringing in time series analysis and spatial differentiation feature analysis, the traditional and spatial Markov probability transition matrix is established. This study delves into the spatial-temporal dynamic evolution traits of the eco-efficiency of industrial energy along the Yangtze River Economic Belt. According to the results: the eco-efficiency of industrial energy of the Yangtze River Economic Belt manifests “single crest” evolution and distribution traits from left to right and top to bottom, indicating that the eco-efficiency of industrial energy of the Yangtze River Economic Belt is steadily improving gradually. However, the overall level is still low and there is still ample room for the improvement of the eco-efficiency of industrial energy. Furthermore, the eco-efficiency of industrial energy along the Yangtze River Economic Belt is elevating. The geographical spatial pattern plays a pivotal role in the spatial and temporal evolution of eco-efficiency of industrial energy, and the spatial agglomeration traits are noticeable.

Suggested Citation

  • Zhonglin Tang & Geng Sun & Min Fu & Chuanhao Wen & Anđelka Plenković-Moraj, 2019. "Research on the Industrial Energy Eco-Efficiency Evolution Characteristics of the Yangtze River Economic Belt in the Temporal and Spatial Dimension, China," IJERPH, MDPI, vol. 17(1), pages 1-17, December.
  • Handle: RePEc:gam:jijerp:v:17:y:2019:i:1:p:268-:d:303460
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/1/268/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/1/268/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. George Hammond, 2004. "Metropolitan/non-metropolitan divergence: A spatial Markov chain approach," Papers in Regional Science, Springer;Regional Science Association International, vol. 83(3), pages 543-563, July.
    2. Elżbieta Kawecka-Wyrzykowska, 2017. "Coordination of EU Member States’ Economic Policies and the Industrial Development Environment," Contributions to Economics, in: Adam A. Ambroziak (ed.), The New Industrial Policy of the European Union, pages 241-265, Springer.
    3. Chengwei Lu & Jianzhong Zhou & Zhongzheng He & Shuai Yuan, 2018. "Evaluating typical flood risks in Yangtze River Economic Belt: application of a flood risk mapping framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(3), pages 1187-1210, December.
    4. Zhimin Dai & Lu Guo & Zhengyi Jiang, 2016. "Study on the industrial Eco-Efficiency in East China based on the Super Efficiency DEA Model: an example of the 2003–2013 panel data," Applied Economics, Taylor & Francis Journals, vol. 48(59), pages 5779-5785, December.
    5. Jamal Ouenniche & Skarleth Carrales, 2018. "Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback," Annals of Operations Research, Springer, vol. 266(1), pages 551-587, July.
    6. Livio D. DeSimone & Frank Popoff, 2000. "Eco-Efficiency: The Business Link to Sustainable Development," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262541092, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wai Li & Xiaohong Chen & Ying Wang, 2022. "Spatiotemporal Patterns and Influencing Factors of Industrial Ecological Efficiency in Northeast China," Sustainability, MDPI, vol. 14(15), pages 1-18, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.
    2. Jiandong Chen & Ping Wang & Jixian Zhou & Malin Song & Xinyue Zhang, 2022. "Influencing factors and efficiency of funds in humanitarian supply chains: the case of Chinese rural minimum living security funds," Annals of Operations Research, Springer, vol. 319(1), pages 413-438, December.
    3. Cândida Ferreira, 2024. "The impact of bank market competition and stability on bank total factor productivity changes: evidence from a panel of European Union banks," Working Papers REM 2024/0315, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    4. Thomas P. Lyon & John W. Maxwell, 2004. "Astroturf: Interest Group Lobbying and Corporate Strategy," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 13(4), pages 561-597, December.
    5. Marta Arbelo-Pérez & Yaiza Armas-Cruz & Antonio Arbelo, 2022. "Environmental strategy and firm performance: A new methodological proposal," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(8), pages 283-292.
    6. Rodrigo Lozano & Robin von Haartman, 2018. "Reinforcing the Holistic Perspective of Sustainability: Analysis of the Importance of Sustainability Drivers in Organizations," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 25(4), pages 508-522, July.
    7. Yanica P. Dimitrova, 2020. "Corporate Social Responsibility and Innovation – the Meaningful Connection," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 89-108.
    8. Schrettle, Stefan & Hinz, Andreas & Scherrer -Rathje, Maike & Friedli, Thomas, 2014. "Turning sustainability into action: Explaining firms' sustainability efforts and their impact on firm performance," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 73-84.
    9. Ahmad Qosim & Anies Anies & Henna Rya Sunoko, 2019. "Empirical Scenarios of Emission Control and Economic Sustainability for Energy Input and Intervention of Agricultural Pesticides," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 91-96.
    10. Wu, Yunna & Ke, Yiming & Zhang, Ting & Liu, Fangtong & Wang, Jing, 2018. "Performance efficiency assessment of photovoltaic poverty alleviation projects in China: A three-phase data envelopment analysis model," Energy, Elsevier, vol. 159(C), pages 599-610.
    11. Jhonny Moncada Mesa & David Hincapié Vélez, 2013. "Convergencia en calidad de vida en Medellín 2004-2011. Un análisis espacial no paramétrico," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 31(70), pages 268-314, July.
    12. María Hierro, 2009. "Modelling the dynamics of internal migration flows in Spain," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 683-692, August.
    13. Cândida Ferreira, 2024. "Efficiency of the European Union Banking Sector: A Panel Data Approach," Working Papers REM 2024/0354, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    14. Nazim Hussain, 2015. "Impact of Sustainability Performance on Financial Performance: An Empirical Study of Global Fortune (N100) Firms," Working Papers 1, Venice School of Management - Department of Management, Università Ca' Foscari Venezia.
    15. Muñoz, Pablo & Dimov, Dimo, 2015. "The call of the whole in understanding the development of sustainable ventures," Journal of Business Venturing, Elsevier, vol. 30(4), pages 632-654.
    16. Wai Li & Xiaohong Chen & Ying Wang, 2022. "Spatiotemporal Patterns and Influencing Factors of Industrial Ecological Efficiency in Northeast China," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    17. Xiangyu Guo & Canhui Deng & Dan Wang & Xu Du & Jiali Li & Bowen Wan, 2021. "International Comparison of the Efficiency of Agricultural Science, Technology, and Innovation: A Case Study of G20 Countries," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    18. Shilin Li & Zhiyuan Zhu & Zhenzhong Dai & Jiajia Duan & Danmeng Wang & Yongzhong Feng, 2022. "Temporal and Spatial Differentiation and Driving Factors of China’s Agricultural Eco-Efficiency Considering Agricultural Carbon Sinks," Agriculture, MDPI, vol. 12(10), pages 1-17, October.
    19. Christian Garmann Johnsen, 2021. "Sustainability Beyond Instrumentality: Towards an Immanent Ethics of Organizational Environmentalism," Journal of Business Ethics, Springer, vol. 172(1), pages 1-14, August.
    20. Wang, Feng & Wu, Min & Du, Xuyang, 2023. "Does industrial upgrading improve eco-efficiency? Evidence from China's industrial sector," Energy Economics, Elsevier, vol. 124(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2019:i:1:p:268-:d:303460. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.