IDEAS home Printed from https://ideas.repec.org/a/sae/engenv/v36y2025i4p1949-1972.html

Understanding the efficiency and evolution of China's Green Economy: A province-level analysis

Author

Listed:
  • Yanyong Hu
  • Xuchao Zhang
  • Jiaxi Wu
  • Zheng Meng

Abstract

The efficiency level, evolution characteristics, and factors driving the green economy in all provinces and regions should be clarified to achieve high-quality economic development and meet China's “double carbon†target. This study conducted the Super-Effective Slack-Based Model considering unexpected outputs to evaluate province-level Green Economic Efficiency (GEE) analysis (including 30 provinces, autonomous regions, and municipalities directly under the Central Government) in China from 2005 to 2020. Moreover, the distribution and dynamic evolution trend of GEE development was estimated through Kernel density estimation. Besides, GEE and its factors (i.e., industrial structure rationalization [ISR], industrial structure advancement [ISA], and urbanization level [UL]) were examined using a Panel vector autoregressive model that was built in this study. As indicated by the result of this study, China's GEE level generally displayed a “U-shaped†development trend of declining, stabilizing, and then rising, whereas the overall efficiency level is low, where the national GEE average reached 0.6934. The regional GEE level exhibited a significant “ladder†distribution, with the highest level, the second level, and the lowest level in the east, the middle, and the west, respectively. The GEE level varied significantly with the province, and most of the levels were at a medium efficiency level. Notably, 60% of regions had medium efficiency in 2020. The levels of ISR, ISA, and UL play significant roles in boosting green economic growth. This study provides valuable insights into the drivers of green economic growth in China guiding policy decisions on achieving a sustainable and low-carbon economy. As China strives to fulfill its ambitious carbon reduction goals, the findings of this study highlight the significance of continuing to prioritize green economic development at the provincial level.

Suggested Citation

  • Yanyong Hu & Xuchao Zhang & Jiaxi Wu & Zheng Meng, 2025. "Understanding the efficiency and evolution of China's Green Economy: A province-level analysis," Energy & Environment, , vol. 36(4), pages 1949-1972, June.
  • Handle: RePEc:sae:engenv:v:36:y:2025:i:4:p:1949-1972
    DOI: 10.1177/0958305X231204027
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0958305X231204027
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0958305X231204027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    2. Zhang, Dongyang & Mohsin, Muhammad & Rasheed, Abdul Khaliq & Chang, Youngho & Taghizadeh-Hesary, Farhad, 2021. "Public spending and green economic growth in BRI region: Mediating role of green finance," Energy Policy, Elsevier, vol. 153(C).
    3. Lin, Boqiang & Zhou, Yicheng, 2022. "Measuring the green economic growth in China: Influencing factors and policy perspectives," Energy, Elsevier, vol. 241(C).
    4. Luo, Kang & Liu, Yaobin & Chen, Pei-Fen & Zeng, Mingli, 2022. "Assessing the impact of digital economy on green development efficiency in the Yangtze River Economic Belt," Energy Economics, Elsevier, vol. 112(C).
    5. Xu, Jiaqi & She, Shengxiang & Gao, Pengpeng & Sun, Yunpeng, 2023. "Role of green finance in resource efficiency and green economic growth," Resources Policy, Elsevier, vol. 81(C).
    6. Wang, Jing & Rickman, Dan S. & Yu, Yihua, 2022. "Dynamics between global value chain participation, CO2 emissions, and economic growth: Evidence from a panel vector autoregression model," Energy Economics, Elsevier, vol. 109(C).
    7. Kumeka, Terver Theophilus & Uzoma-Nwosu, Damian Chidozie & David-Wayas, Maria Onyinye, 2022. "The effects of COVID-19 on the interrelationship among oil prices, stock prices and exchange rates in selected oil exporting economies," Resources Policy, Elsevier, vol. 77(C).
    8. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    9. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    10. Geng, Qianqian & Wang, Ying & Wang, Xiaoqing, 2023. "The impact of natural resource endowment and green finance on green economic efficiency in the context of COP26," Resources Policy, Elsevier, vol. 80(C).
    11. 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.
    12. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    13. Chien, Taichen & Hu, Jin-Li, 2007. "Renewable energy and macroeconomic efficiency of OECD and non-OECD economies," Energy Policy, Elsevier, vol. 35(7), pages 3606-3615, July.
    14. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    15. Joakim Westerlund, 2008. "Panel cointegration tests of the Fisher effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 193-233.
    Full references (including those not matched with items on IDEAS)

    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. Yang Liu & Yanlin Yang & Shuang Zheng & Lei Xiao & Hongjie Gao & Hechen Lu, 2022. "Dynamic Impact of Technology and Finance on Green Technology Innovation Efficiency: Empirical Evidence from China’s Provinces," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
    2. Songping Zhu & Azhong Ye, 2018. "Does Foreign Direct Investment Improve Inclusive Green Growth? Empirical Evidence from China," Economies, MDPI, vol. 6(3), pages 1-16, August.
    3. Jie Wu & Ruizeng Zhao & Jiasen Sun, 2025. "Decoupling and driving analysis of carbon emissions in China: Evidence from five national-level urban agglomerations," Energy & Environment, , vol. 36(1), pages 151-167, February.
    4. Yuanyuan Wu & Zhanhua Jia & Tingting Yu, 2022. "Tourism and Green Development: Analysis of Linear and Non-Linear Effects," IJERPH, MDPI, vol. 19(23), pages 1-22, November.
    5. Fan, Xiaoyan & Ding, Guoxuan & Long, Shuting & Dong, Yiran & Yan, Jiajun, 2025. "Digital divide or dividend? Exploring the impact of digital economy on regional gaps of high-quality economic development in China using relational data model," International Review of Economics & Finance, Elsevier, vol. 101(C).
    6. Xinxu Zhao & Kizito Uyi Ehigiamusoe, 2024. "A Study on the Evaluation and Determinants of Green Economic Efficiency: Empirical Evidence from Provincial Panel Data in China," SAGE Open, , vol. 14(3), pages 21582440241, September.
    7. Li, Yinan & Huang, Yuxin, 2023. "Enhancing resources efficiency: Studying economic development in resource-rich regions for long-term sustainability of China," Resources Policy, Elsevier, vol. 86(PA).
    8. Henryk Dzwigol & Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "The Role of Environmental Regulations, Renewable Energy, and Energy Efficiency in Finding the Path to Green Economic Growth," Energies, MDPI, vol. 16(7), pages 1-18, March.
    9. Chien-Chiang Lee & Zhi-Wen He & Huwei Wen, 2024. "The impact of digitalization on green economic efficiency: Empirical evidence from city-level panel data in China," Energy & Environment, , vol. 35(1), pages 23-46, February.
    10. Lei, Ming & Yin, Zihan & Yu, Xiaowen & Deng, Shijie, 2017. "Carbon-weighted economic development performance and driving force analysis: Evidence from China," Energy Policy, Elsevier, vol. 111(C), pages 179-192.
    11. Junxu Zhou & Yajun Chang & Rong Peng & Zijun Liu & Hang Luo & Min Ji, 2024. "Does Free Compulsory Education Matter for the Green Transformation of Agriculture? Evidence from Rural China," Agriculture, MDPI, vol. 14(5), pages 1-19, April.
    12. Yan, Xiaolei & He, Taiyi & Qian, Pengcheng & Liu, Zhongwen, 2024. "Does the construction of Pilot Free Trade Zones promote the development of green economy? - A quasi-natural experiment evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 208-224.
    13. Jiahui Sun & Hechun Wu & Song Shi, 2025. "Research on the Relationship Between Higher Education, Technological Innovation, and Green Economy—Analysis Based on Chinese Data from 2011 to 2020," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 8546-8587, June.
    14. Yang, Haidong & Zhang, Xiangle & Lao, Quanchu & Liu, Biyu, 2025. "How to accurately evaluate and effectively improve the performance of provincial green development in China? An improved integrated method," Energy Policy, Elsevier, vol. 198(C).
    15. Alimov, Behzod, 2022. "The dynamic effects of debt and equity inflows: Evidence from emerging and developing countries," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    16. Xiaotong Wang & Gongli Luo & Lu Wang, 2024. "Analysis of Green Economic Efficiency and Influencing Factors: Based on the Innovation Output and Spatial Spillover Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 15161-15175, September.
    17. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    18. Ashrafi, Ali & Seow, Hsin-Vonn & Lee, Lai Soon & Lee, Chew Ging, 2013. "The efficiency of the hotel industry in Singapore," Tourism Management, Elsevier, vol. 37(C), pages 31-34.
    19. Ejeta, Tadesse Tolera & Bai, Xiuguang, 2026. "Does the adoption of agricultural green production technologies improve eco-efficiency? Evidence from wheat farmers in Ethiopia," Agricultural Systems, Elsevier, vol. 231(C).
    20. Shengnan Cui & Yanqiu Wang & Ping Xu & Liping Li, 2024. "Ecological welfare performance, industrial agglomeration and technological innovation: an empirical study based on Beijing–Tianjin–Hebei, Yangtze River Delta and Pearl River Delta," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 1505-1528, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:sae:engenv:v:36:y:2025:i:4:p:1949-1972. 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: SAGE Publications (email available below). General contact details of provider: .

    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.