IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v51y2017icp31-38.html
   My bibliography  Save this article

Efficiency differences among China's resource-based cities and their determinants

Author

Listed:
  • Li, Bo
  • Dewan, Hasnat

Abstract

Based on the 2012 data from 116 resource-based cities in China, this paper measures efficiency in resource-based cities by using the super-SBM model, analyzes the differences in efficiency levels among cities, and finds their major determinants. It also examines if the effects of the determinants on efficiency vary at different efficiency-levels by using quantile regression. The four major findings of this study are as follows. First, most of the resource-based cities in China are total factor energy (TFE) inefficient. Second, the level of industrialization, the contribution of service industry to local GDP, and the size of built districts in the city are the three major determinants with significantly positive effect on efficiency. On the other hand, consumer spending, the local government expenditure, and the availability of vocational schools are the three major determinants with significantly negative effect on efficiency. Third, the six determining factors account for 79% of the efficiency differences among the cities. However, the contributions of the factors to TFE efficiency vary widely. Fourth, the effects of the determinants on TFE efficiency change with the efficiency-level of the city.

Suggested Citation

  • Li, Bo & Dewan, Hasnat, 2017. "Efficiency differences among China's resource-based cities and their determinants," Resources Policy, Elsevier, vol. 51(C), pages 31-38.
  • Handle: RePEc:eee:jrpoli:v:51:y:2017:i:c:p:31-38
    DOI: 10.1016/j.resourpol.2016.11.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420716302306
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2016.11.003?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    2. Jacobson, Arne & Milman, Anita D. & Kammen, Daniel M., 2005. "Letting the (energy) Gini out of the bottle: Lorenz curves of cumulative electricity consumption and Gini coefficients as metrics of energy distribution and equity," Energy Policy, Elsevier, vol. 33(14), pages 1825-1832, September.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Florinskaya Yulia & Mkrtchian N., 2016. "Resources Of Migration Growth Have Run Dry," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 38-42, May.
    5. Sen, Amartya, 1973. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198281931.
    6. Badzyan V., 2016. "Theoretical basis of forest and land resources," Balanced Nature Using, Institute of agroecology and environmental management, vol. 7(2), pages 28-34, April.
    7. 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.
    8. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    9. Byrnes, Patricia E. & Storbeck, James E., 2000. "Efficiency gains from regionalization: economic development in China revisited," Socio-Economic Planning Sciences, Elsevier, vol. 34(2), pages 141-154, June.
    10. Zhu, Joe, 1998. "Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities," European Journal of Operational Research, Elsevier, vol. 111(1), pages 50-61, November.
    11. Cheng, Yuk-shing & Li, Sung-ko, 2006. "Income inequality and efficiency: A decomposition approach and applications to China," Economics Letters, Elsevier, vol. 91(1), pages 8-14, April.
    12. Charnes, Abraham & Cooper, William W. & Li, Shanling, 1989. "Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities," Socio-Economic Planning Sciences, Elsevier, vol. 23(6), pages 325-344.
    13. 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.
    14. De Meij, A. & Vinuesa, J.-F. & Maupas, V. & Waddle, J. & Price, I. & Yaseen, B. & Ismail, A., 2016. "Wind energy resource mapping of Palestine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 551-562.
    15. Anthony Shorrocks, 2013. "Decomposition procedures for distributional analysis: a unified framework based on the Shapley value," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(1), pages 99-126, March.
    16. Ying Long & Kang Wu, 2016. "Shrinking cities in a rapidly urbanizing China," Environment and Planning A, , vol. 48(2), pages 220-222, February.
    17. Yu, Jing & Zhang, Zhongjun & Zhou, Yifan, 2008. "The sustainability of China's major mining cities," Resources Policy, Elsevier, vol. 33(1), pages 12-22, March.
    18. Hiroaki Takiguchi & Kazuhiko Takemoto, 2008. "Japanese 3R Policies Based on Material Flow Analysis," Journal of Industrial Ecology, Yale University, vol. 12(5-6), pages 792-798, October.
    19. Zinovchuk N., 2016. "Transformation of Land Resources as Public Goods," Balanced Nature Using, Institute of agroecology and environmental management, vol. 6(2), pages 5-10, April.
    20. Lau, Pong-Lung & Koo, Tay T.R. & Dwyer, Larry, 2017. "Metrics to measure the geographic characteristics of tourism markets: An integrated approach based on Gini index decomposition," Tourism Management, Elsevier, vol. 59(C), pages 171-181.
    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. de Kerviler, Gwarlann & Demoulin, Nathalie T.M. & Zidda, Pietro, 2016. "Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 334-344.
    2. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    3. ChuangLin Fang & XingLiang Guan & ShaSha Lu & Min Zhou & Yu Deng, 2013. "Input–Output Efficiency of Urban Agglomerations in China: An Application of Data Envelopment Analysis (DEA)," Urban Studies, Urban Studies Journal Limited, vol. 50(13), pages 2766-2790, October.
    4. Mario Fortin & André Leclerc, 2011. "L’Efficience Des Cooperatives De Services Financiers: Une Analyse De La Contribution Du Milieu," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 82(1), pages 45-62, March.
    5. Daniela Piazzalunga & Maria Laura Di Tommaso, 2019. "The increase of the gender wage gap in Italy during the 2008-2012 economic crisis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 171-193, June.
    6. Yi-Chung Hsu, 2014. "Efficiency in government health spending: a super slacks-based model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 111-126, January.
    7. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    8. Juan Carlos Matallín-Sáez & Amparo Soler-Domínguez & Emili Tortosa-Ausina, 2019. "Does active management add value? New evidence from a quantile regression approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(10), pages 1734-1751, October.
    9. Yahya, Farzan & Lee, Chien-Chiang, 2023. "Disentangling the asymmetric effect of financialization on the green output gap," Energy Economics, Elsevier, vol. 125(C).
    10. Chia-Nan Wang & Thi-Duong Nguyen & Min-Chun Yu, 2019. "Energy Use Efficiency Past-to-Future Evaluation: An International Comparison," Energies, MDPI, vol. 12(19), pages 1-15, October.
    11. Kim, Youngjune & Chen, Bowen & Featherstone, Allen M. & Pendell, Dustin L., 2017. "Are Efficient Farms and Inefficient Farms Heterogeneous?," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252830, Southern Agricultural Economics Association.
    12. J. Carlos Matallín-Sáez & Amparo Soler-Domínguez & Emili Tortosa-Ausina, 2013. "Does active management add value? New evidence from a quantile regression," Working Papers 2013/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    13. Tifang Ye & Xiuli Xiang & Xiangyu Ge & Keling Yang, 2022. "Research on Green Finance and Green Development Based Eco-Efficiency and Spatial Econometric Analysis," Sustainability, MDPI, vol. 14(5), pages 1-29, February.
    14. Frank Cowell & Emmanuel Flachaire, 2021. "Inequality Measurement: Methods and Data," Post-Print hal-03589066, HAL.
    15. Chia Nan Wang & Anh Phuong Le, 2018. "Application in International Market Selection for the Export of Goods: A Case Study in Vietnam," Sustainability, MDPI, vol. 10(12), pages 1-24, December.
    16. Jabłoński Łukasz, 2019. "Inequality in Economics: The Concept, Perception, Types, and Driving Forces," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 27(1), pages 17-43, March.
    17. John Creedy & S. Subramanian, 2022. "Mortality Comparisons ‘At a Glance’: A Mortality Concentration Curve and Decomposition Analysis for India," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 873-894, November.
    18. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions," European Journal of Operational Research, Elsevier, vol. 227(1), pages 182-189.
    19. Berger, Michael & Sommersguter-Reichmann, Margit & Czypionka, Thomas, 2020. "Determinants of soft budget constraints: how public debt affects hospital performance in Austria," LSE Research Online Documents on Economics 116865, London School of Economics and Political Science, LSE Library.
    20. Walheer, Barnabé, 2018. "Economic growth and greenhouse gases in Europe: A non-radial multi-sector nonparametric production-frontier analysis," Energy Economics, Elsevier, vol. 74(C), pages 51-62.

    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:eee:jrpoli:v:51:y:2017:i:c:p:31-38. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    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.