IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i4p324-d67033.html
   My bibliography  Save this article

Research on Investment Efficiency and Policy Recommendations for the Culture Industry of China Based on a Three-Stage DEA

Author

Listed:
  • Shihong Zeng

    (Economic Management School, Beijing University of Technology, Beijing 100124, China
    Finance and Economics Development Research Center, Economic Management School, Beijing University of Technology, Beijing 100124, China)

  • Mimi Hu

    (Economic Management School, Beijing University of Technology, Beijing 100124, China)

  • Bin Su

    (Finance and Economics Development Research Center, Economic Management School, Beijing University of Technology, Beijing 100124, China
    Energy Studies Institute, National University of Singapore, Singapore 119620)

Abstract

The China State Council promulgated the “Culture Industry Promotion Plan” on 26 September 2009, raising the status of the culture industry to that of a strategic industry. This paper applies a three-stage data envelopment analysis (DEA) model to investigate the efficiency of investments made in the culture industry in 2011 in China. The results show that the overall efficiency of the culture industry in China is still at a relatively low level. The scale of companies in the culture industry is a key factor restricting development. The external environment has a great influence on this efficiency; the efficiency gap between the eastern, central and western areas is obvious and reflects the degree of the environmental impact on the culture industry in these regions. The western region will experience progress if the environment changes. In contrast, the central and eastern regions will see less progress. This paper proposes the following corresponding policy recommendations based on the analysis. (1) China should focus on expanding the scale of culture industry enterprises. (2) We need to accelerate the market-oriented reform of cultural institutional mechanisms. (3) We should pay attention to the efficiency gap between cultural industries in the eastern, central and western areas. We should use government power to support the development of cultural industries in the western region.

Suggested Citation

  • Shihong Zeng & Mimi Hu & Bin Su, 2016. "Research on Investment Efficiency and Policy Recommendations for the Culture Industry of China Based on a Three-Stage DEA," Sustainability, MDPI, vol. 8(4), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:4:p:324-:d:67033
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/4/324/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/8/4/324/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, vol. 6(8), pages 1-17, August.
    2. Basso, Antonella & Funari, Stefania, 2014. "Constant and variable returns to scale DEA models for socially responsible investment funds," European Journal of Operational Research, Elsevier, vol. 235(3), pages 775-783.
    3. Carl Grodach, 2013. "Cultural Economy Planning in Creative Cities: Discourse and Practice," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 37(5), pages 1747-1765, September.
    4. Stewart, Chris & Matousek, Roman & Nguyen, Thao Ngoc, 2016. "Efficiency in the Vietnamese banking system: A DEA double bootstrap approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 96-111.
    5. 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.
    6. Wang, Derek & Li, Shanling & Sueyoshi, Toshiyuki, 2014. "DEA environmental assessment on U.S. Industrial sectors: Investment for improvement in operational and environmental performance to attain corporate sustainability," Energy Economics, Elsevier, vol. 45(C), pages 254-267.
    7. Dongphil Chun & Yanghon Chung & Chungwon Woo & Hangyeol Seo & Hyesoo Ko, 2015. "Labor Union Effects on Innovation and Commercialization Productivity: An Integrated Propensity Score Matching and Two-Stage Data Envelopment Analysis," Sustainability, MDPI, vol. 7(5), pages 1-19, April.
    8. Lamb, John D. & Tee, Kai-Hong, 2012. "Resampling DEA estimates of investment fund performance," European Journal of Operational Research, Elsevier, vol. 223(3), pages 834-841.
    9. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    10. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, vol. 7(4), pages 1-15, April.
    11. Gonzalez, Reyes & Llopis, Juan & Gasco, Jose, 2015. "Social networks in cultural industries," Journal of Business Research, Elsevier, vol. 68(4), pages 823-828.
    12. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    13. Zhong, Wei & Yuan, Wei & Li, Susan X. & Huang, Zhimin, 2011. "The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data," Omega, Elsevier, vol. 39(4), pages 447-455, August.
    14. Qing Yang & Xingzi Wan & Huimin Ma, 2015. "Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    15. 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.
    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. Xun Liu & Xiaoliang Yu & Simon Gao, 2019. "A quantitative study of financing efficiency of low‐carbon companies: A three‐stage data envelopment analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 28(5), pages 858-871, July.
    2. Thi-Nham Le & Chia-Nan Wang, 2017. "The Integrated Approach for Sustainable Performance Evaluation in Value Chain of Vietnam Textile and Apparel Industry," Sustainability, MDPI, vol. 9(3), pages 1-21, March.
    3. Ruohan Wang & Qingjin Wang & Renbo Shi & Kaiyun Zhang & Xueling Wang, 2023. "How the Digital Economy Enables Regional Sustainable Development Using Big Data Analytics," Sustainability, MDPI, vol. 15(18), pages 1-16, September.
    4. Linqing Fang & Zhihao Liu & Caiyu Jin, 2023. "How Does the Integration of Cultural Tourism Industry Affect Rural Revitalization? The Mediating Effect of New Urbanization," Sustainability, MDPI, vol. 15(14), pages 1-22, July.
    5. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    6. Rodríguez-Huerta, Edgar & Rosas-Casals, Martí & Sorman, Alevgul H., 2017. "A societal metabolism approach to job creation and renewable energy transitions in Catalonia," Energy Policy, Elsevier, vol. 108(C), pages 551-564.
    7. Pengyu Ren & Zhaoxia Liu, 2021. "Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model," IJERPH, MDPI, vol. 18(20), pages 1-12, October.
    8. Shihong Zeng & Yan Xu & Liming Wang & Jiuying Chen & Qirong Li, 2016. "Forecasting the Allocative Efficiency of Carbon Emission Allowance Financial Assets in China at the Provincial Level in 2020," Energies, MDPI, vol. 9(5), pages 1-18, May.
    9. Saiah, Saiah Bekkar Djelloul & Stambouli, Amine Boudghene, 2017. "Prospective analysis for a long-term optimal energy mix planning in Algeria: Towards high electricity generation security in 2062," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 26-43.
    10. Yoon Seong Kim & Eun Jin Han & So Young Sohn, 2017. "Demand Forecasting for Heavy-Duty Diesel Engines Considering Emission Regulations," Sustainability, MDPI, vol. 9(2), pages 1-16, January.
    11. Jie Wu & Ganggang Zhang & Qingyuan Zhu & Zhixiang Zhou, 2020. "An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 57-70, January.
    12. Wu, Yueh-Cheng & Lin, Sheng-Wei, 2022. "Efficiency evaluation of Asia's cultural tourism using a dynamic DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    13. Yihan Chi & Yongheng Fang & Jiamin Liu, 2022. "Spatial–Temporal Evolution Characteristics and Economic Effects of China’s Cultural and Tourism Industries’ Collaborative Agglomeration," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    14. Hao Jiao & Yupei Wang & Hongjun Xiao & Jianghua Zhou & Wensi Zeng, 2017. "Promoting Profit Model Innovation in Animation Project in Northeast Asia: Case Study on Chinese Cultural and Creative Industry," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
    15. Fengge Yao & Ying Song & Xiaomei Wang, 2023. "How the Digital Economy Empowers the Structural Upgrading of Cultural Industries—An Analysis Based on the Spatial Durbin Model," Sustainability, MDPI, vol. 15(19), pages 1-17, October.
    16. Jingqi Sun & Nuermaimaiti Ruze & Jianjun Zhang & Haoran Zhao & Boyang Shen, 2019. "Evaluating the Investment Efficiency of China’s Provincial Power Grid Enterprises under New Electricity Market Reform: Empirical Evidence Based on Three-Stage DEA Model," Energies, MDPI, vol. 12(18), pages 1-17, September.
    17. Chen-En Hou & Wen-Min Lu & Shiu-Wan Hung, 2019. "Does CSR matter? Influence of corporate social responsibility on corporate performance in the creative industry," Annals of Operations Research, Springer, vol. 278(1), pages 255-279, July.
    18. Zhang, Chonghui & Jiang, Nanyue & Su, Tiantian & Chen, Ji & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Spreading knowledge and technology: Research efficiency at universities based on the three-stage MCDM-NRSDEA method with bootstrapping," Technology in Society, Elsevier, vol. 68(C).
    19. Mingli Song & Guangshe Jia & Puwei Zhang, 2020. "An Evaluation of Air Transport Sector Operational Efficiency in China based on a Three-Stage DEA Analysis," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
    20. Wenling Wang & Tong Chen, 2020. "Efficiency Evaluation and Influencing Factor Analysis of China’s Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model," Sustainability, MDPI, vol. 12(8), pages 1-14, April.

    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. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    2. Zhou, Na & Wu, Qiaosheng & Hu, Xiangping & Xu, Deyi & Wang, Xiaolin, 2020. "Evaluation of Chinese natural gas investment along the Belt and Road Initiative using super slacks-based measurement of efficiency method," Resources Policy, Elsevier, vol. 67(C).
    3. Pengyu Ren & Zhaoxia Liu, 2021. "Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model," IJERPH, MDPI, vol. 18(20), pages 1-12, October.
    4. Changhong Zhao & Haonan Zhang & Yurong Zeng & Fengyun Li & Yuanxin Liu & Chengju Qin & Jiahai Yuan, 2018. "Total-Factor Energy Efficiency in BRI Countries: An Estimation Based on Three-Stage DEA Model," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
    5. Haoran Zhao & Huiru Zhao & Sen Guo, 2018. "Operational Efficiency of Chinese Provincial Electricity Grid Enterprises: An Evaluation Employing a Three-Stage Data Envelopment Analysis (DEA) Model," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    6. Zhao, Haoran & Guo, Sen & Zhao, Huiru, 2019. "Provincial energy efficiency of China quantified by three-stage data envelopment analysis," Energy, Elsevier, vol. 166(C), pages 96-107.
    7. Jie Wu & Ganggang Zhang & Qingyuan Zhu & Zhixiang Zhou, 2020. "An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 57-70, January.
    8. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    9. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    10. Mingli Song & Guangshe Jia & Puwei Zhang, 2020. "An Evaluation of Air Transport Sector Operational Efficiency in China based on a Three-Stage DEA Analysis," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
    11. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    12. Kiril Simeonovski & Tamara Kaftandzieva & Gregory Brock, 2021. "Energy Efficiency Management across EU Countries: A DEA Approach," Energies, MDPI, vol. 14(9), pages 1-19, May.
    13. Xun Liu & Xiaoliang Yu & Simon Gao, 2019. "A quantitative study of financing efficiency of low‐carbon companies: A three‐stage data envelopment analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 28(5), pages 858-871, July.
    14. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    15. Li, Hongkuan & He, Haiyan & Shan, Jiefei & Cai, Jingjing, 2019. "Innovation efficiency of semiconductor industry in China: A new framework based on generalized three-stage DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 136-148.
    16. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    17. Shanwei Li & Yongchang Wu & Qi Yu & Xueyuan Chen, 2023. "National Agricultural Science and Technology Parks in China: Distribution Characteristics, Innovation Efficiency, and Influencing Factors," Agriculture, MDPI, vol. 13(7), pages 1-26, July.
    18. Hongwei Liu & Ronglu Yang & Zhixiang Zhou & Dacheng Huang, 2020. "Regional Green Eco-Efficiency in China: Considering Energy Saving, Pollution Treatment, and External Environmental Heterogeneity," Sustainability, MDPI, vol. 12(17), pages 1-19, August.
    19. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    20. Branda, Martin, 2013. "Diversification-consistent data envelopment analysis with general deviation measures," European Journal of Operational Research, Elsevier, vol. 226(3), pages 626-635.

    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:8:y:2016:i:4:p:324-:d:67033. 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.