IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i16p6807-d1452603.html
   My bibliography  Save this article

Urbanization and Cultural Industry Correlation: An Empirical Analysis from China

Author

Listed:
  • Wen Zhang

    (School of Design and Art, Communication University of Zhejiang, Hangzhou 310018, China)

  • Rong Zhang

    (Future Front Interdisciplinary Research Institute, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yuntao Zou

    (Future Front Interdisciplinary Research Institute, Huazhong University of Science and Technology, Wuhan 430074, China
    School of Computer of Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

The cultural industry has been recognized as an indispensable component of sustainable economic development. Urbanization often represents a country’s level of economic development. While China is advancing its new urbanization strategy, it is also vigorously promoting cultural revitalization plans. This study employs a global Data Envelopment Analysis (DEA) model and Tobit regression analysis to examine the correlation between China’s cultural industry and urbanization. The results indicate that although the overall economic efficiency of China’s cultural industry is continuously improving, the returns to scale in many provinces are declining. Changes brought about by new urbanization, such as increases in per capita GDP, per capita income, and enterprise scale, have significant positive impacts on the cultural industry. However, the rising urban population ratio has a significant negative impact on the cultural industry. This study suggests that the current new urbanization in China faces issues of oversimplification and excessive advancement. It recommends adjusting relevant policies to allow sufficient time and space for the cultural industry to absorb the benefits brought by urbanization. Given China’s specific national conditions, the conclusions of this study may not necessarily apply to other regions. However, the global DEA-Tobit combination method used in this study aligns more closely with reality and achieves a higher degree of fit, thus possessing a certain level of universality.

Suggested Citation

  • Wen Zhang & Rong Zhang & Yuntao Zou, 2024. "Urbanization and Cultural Industry Correlation: An Empirical Analysis from China," Sustainability, MDPI, vol. 16(16), pages 1-27, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6807-:d:1452603
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/16/6807/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/16/6807/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Junli Gao & Chaofeng Shao & Sihan Chen, 2022. "Evolution and Driving Factors of the Spatiotemporal Pattern of Tourism Efficiency at the Provincial Level in China Based on SBM–DEA Model," IJERPH, MDPI, vol. 19(16), pages 1-17, August.
    2. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    3. Martin Ravallion & Shaohua Chen & Prem Sangraula, 2007. "New Evidence on the Urbanization of Global Poverty," Population and Development Review, The Population Council, Inc., vol. 33(4), pages 667-701, December.
    4. Catherine Paul & Richard Nehring & David Banker & Agapi Somwaru, 2004. "Scale Economies and Efficiency in U.S. Agriculture: Are Traditional Farms History?," Journal of Productivity Analysis, Springer, vol. 22(3), pages 185-205, November.
    5. Xiaofu Chen & Chang Liu & Xiaohua Yu, 2022. "Urbanization, Economic Development, and Ecological Environment: Evidence from Provincial Panel Data in China," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
    6. Binbin Chang & Lei Chen, 2021. "Land Economic Efficiency and Improvement of Environmental Pollution in the Process of Sustainable Urbanization: Case of Eastern China," Land, MDPI, vol. 10(8), pages 1-23, August.
    7. Monika Klein & Piotr Gutowski & Laima Gerlitz & Ewelina Gutowska, 2021. "Creative and Culture Industry in Baltic Sea Region Condition and Future," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    8. Pengfei Ge & Tan Liu & Xiaoxu Wu & Xiulu Huang, 2023. "Heterogenous Urbanization and Agricultural Green Development Efficiency: Evidence from China," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
    9. Zhongqi Xie & Ying Zhang & Zhiqiang Fang, 2022. "The Space–Time Evolution of the Coupling and Coordinated Development of Public Cultural Services and Cultural Industries: A Case Study of 31 Regions in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    10. 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.
    11. Jiang, Shiqi & Lin, Xinyue & Qi, Lingli & Zhang, Yongqiang & Sharp, Basil, 2022. "The macro-economic and CO2 emissions impacts of COVID-19 and recovery policies in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 981-996.
    12. Henderson, J. Vernon, 2005. "Urbanization and Growth," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 24, pages 1543-1591, Elsevier.
    13. 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.
    14. Vernon Henderson, 2002. "Urbanization in Developing Countries," The World Bank Research Observer, World Bank, vol. 17(1), pages 89-112.
    15. 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.
    16. Justas Streimikis & Zhuang Miao & Tomas Balezentis, 2021. "Creation of climate‐smart and energy‐efficient agriculture in the European Union: Pathways based on the frontier analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 576-589, January.
    17. Shui-Mu Ju & Nan Liu, 2015. "Efficiency and its influencing factors in port enterprises: empirical evidence from Chinese port-listed companies," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(6), pages 571-590, August.
    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. Jiayao Li & Rong Zhang & Yuntao Zou, 2024. "Analyzing the Shift in China’s Cultural Industries: From Economic Growth to Social Enrichment," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
    2. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    3. W. Liu & W. Meng & X. Li & D. Zhang, 2010. "DEA models with undesirable inputs and outputs," Annals of Operations Research, Springer, vol. 173(1), pages 177-194, January.
    4. 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.
    5. Sedghi, Sepideh & Azizi, Shima & Canada, Katherine & Charles, Vincent & Trapp, Andrew C., 2025. "Performance evaluation of child welfare departments using Data Envelopment Analysis: A comparative study across US states," Socio-Economic Planning Sciences, Elsevier, vol. 97(C).
    6. Xiaotuan Li & Panfei Yang & Yuntao Zou, 2023. "An Empirical Investigation of the “Mezzogiorno Trap” in China’s Agricultural Economy: Insights from Data Envelopment Analysis (2015–2021)," Agriculture, MDPI, vol. 13(9), pages 1-30, September.
    7. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    8. Shih-Heng Yu, 2019. "Benchmarking and Performance Evaluation Towards the Sustainable Development of Regions in Taiwan: A Minimum Distance-Based Measure with Undesirable Outputs in Additive DEA," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1323-1348, August.
    9. Wen-Min Lu & Qian Long Kweh & Kai-Chu Yang, 2022. "Multiplicative efficiency aggregation to evaluate Taiwanese local auditing institutions performance," Annals of Operations Research, Springer, vol. 315(2), pages 1243-1262, August.
    10. Carla Henriques & Clara Viseu & António Trigo & Maria Gouveia & Ana Amaro, 2022. "How Efficient Is the Cohesion Policy in Supporting Small and Mid-Sized Enterprises in the Transition to a Low-Carbon Economy?," Sustainability, MDPI, vol. 14(9), pages 1-55, April.
    11. Gobbo, Simone Cristina de Oliveira & Mariano, Enzo Barberio & Gobbo Jr., José Alcides, 2021. "Combining social network and data envelopment analysis: A proposal for a Selection Employment Contracts Effectiveness index in healthcare network applications," Omega, Elsevier, vol. 103(C).
    12. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    13. Fang, Tao & Fang, Debin & Yu, Bolin, 2022. "Carbon emission efficiency of thermal power generation in China: Empirical evidence from the micro-perspective of power plants," Energy Policy, Elsevier, vol. 165(C).
    14. Juan Aparicio & Magdalena Kapelko & Juan F. Monge, 2020. "A Well-Defined Composite Indicator: An Application to Corporate Social Responsibility," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 299-323, July.
    15. Haibo Zhou & Hanhui Hu, 2017. "Sustainability Evaluation of Railways in China Using a Two-Stage Network DEA Model with Undesirable Outputs and Shared Resources," Sustainability, MDPI, vol. 9(1), pages 1-23, January.
    16. Marcel Clermont & Julia Schaefer, 2019. "Identification of Outliers in Data Envelopment Analysis," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(4), pages 475-496, October.
    17. Mohammad Nourani & Qian Long Kweh & Irene Wei Kiong Ting & Wen-Min Lu & Anna Strutt, 2022. "Evaluating traditional, dynamic and network business models: an efficiency-based study of Chinese insurance companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 905-943, October.
    18. Kohl, Sebastian & Brunner, Jens O., 2020. "Benchmarking the benchmarks – Comparing the accuracy of Data Envelopment Analysis models in constant returns to scale settings," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1042-1057.
    19. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
    20. Wen‐Min Lu & Qian Long Kweh & Mohammad Nourani & Jui‐Min Shih, 2020. "Major weapons procurement: An efficiency‐based approach for the selection of fighter jets," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 574-585, June.

    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:jsusta:v:16:y:2024:i:16:p:6807-:d:1452603. 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.