IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i9p958-d78556.html
   My bibliography  Save this article

Sustainable Development in China’s Coastal Area: Based on the Driver-Pressure-State-Welfare-Response Framework and the Data Envelopment Analysis Model

Author

Listed:
  • Song Wang

    (Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, 850 Huanghe Road, Dalian 116029, China)

  • Caizhi Sun

    (Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, 850 Huanghe Road, Dalian 116029, China)

  • Xin Li

    (Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, 850 Huanghe Road, Dalian 116029, China)

  • Wei Zou

    (Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, 850 Huanghe Road, Dalian 116029, China
    School of Foreign Languages, Liaoning Normal University, 850 Huanghe Road, Dalian 116029, China)

Abstract

The economic development of China’s coastal areas is being constrained by resources and the environment, with sustainable development being the key to solving these problems. The data envelopment analysis (DEA) model is widely used to assess sustainable development. However, indicators used in the DEA model are not selected in a scientific and comprehensive manner, which may lead to unrepresentative results. Here, we use the driver-pressure-state-welfare-response (DPSWR) framework to select more scientific and comprehensive indicators for a more accurate analysis of efficiency in China’s coastal area. The results show that the efficiencies of most provinces and cities in China’s coastal area have a stable trend. In the time dimension, efficiency was rising before 2008, after which it decreased. In the spatial dimension, China’s coastal provinces and cities are divided into three categories: high efficiency, low efficiency, and greater changes in efficiency. By combining DPSWR and DEA, we produce reliable values for measuring efficiency, with the benefit of avoiding the incomplete selection of DEA indicators.

Suggested Citation

  • Song Wang & Caizhi Sun & Xin Li & Wei Zou, 2016. "Sustainable Development in China’s Coastal Area: Based on the Driver-Pressure-State-Welfare-Response Framework and the Data Envelopment Analysis Model," Sustainability, MDPI, vol. 8(9), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:958-:d:78556
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/9/958/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/8/9/958/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vázquez-Rowe, Ian & Tyedmers, Peter, 2013. "Identifying the importance of the “skipper effect” within sources of measured inefficiency in fisheries through data envelopment analysis (DEA)," Marine Policy, Elsevier, vol. 38(C), pages 387-396.
    2. Yuyu Liu & Caizhi Sun & Shiguo Xu, 2013. "Eco-Efficiency Assessment of Water Systems in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4927-4939, November.
    3. Maxim, Laura & Spangenberg, Joachim H. & O'Connor, Martin, 2009. "An analysis of risks for biodiversity under the DPSIR framework," Ecological Economics, Elsevier, vol. 69(1), pages 12-23, November.
    4. Gregory, Amanda J. & Atkins, Jonathan P. & Burdon, Daryl & Elliott, Michael, 2013. "A problem structuring method for ecosystem-based management: The DPSIR modelling process," European Journal of Operational Research, Elsevier, vol. 227(3), pages 558-569.
    5. Park, Jaehun & Lee, Dongha & Zhu, Joe, 2014. "An integrated approach for ship block manufacturing process performance evaluation: Case from a Korean shipbuilding company," International Journal of Production Economics, Elsevier, vol. 156(C), pages 214-222.
    6. Thomas T. Thøgersen & Sean Pascoe, 2014. "Combining performance measures to investigate capacity changes in fisheries," Applied Economics, Taylor & Francis Journals, vol. 46(1), pages 57-69, January.
    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. Griffin, Wade L. & Woodward, Richard T., 2011. "Determining policy-efficient management strategies in fisheries using data envelopment analysis (DEA)," Marine Policy, Elsevier, vol. 35(4), pages 496-507, July.
    9. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    10. Visbeck, Martin & Kronfeld-Goharani, Ulrike & Neumann, Barbara & Rickels, Wilfried & Schmidt, Jörn & van Doorn, Erik & Matz-Lück, Nele & Ott, Konrad & Quaas, Martin F., 2014. "Securing blue wealth: The need for a special sustainable development goal for the ocean and coasts," Marine Policy, Elsevier, vol. 48(C), pages 184-191.
    11. Cooper, Philip, 2013. "Socio-ecological accounting: DPSWR, a modified DPSIR framework, and its application to marine ecosystems," Ecological Economics, Elsevier, vol. 94(C), pages 106-115.
    12. 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.
    13. Xiaoyin Zhang & Xiongzhi Xue, 2013. "Analysis of marine environmental problems in a rapidly urbanising coastal area using the DPSIR framework: a case study in Xiamen, China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 56(5), pages 720-742, June.
    14. Semra Birgun & Necmettin Akten, 2005. "Relative efficiencies of seaport container terminals: a DEA perspective," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 1(4), pages 442-456.
    15. Caizhi Sun & Kunling Zhang & Wei Zou & Bin Li & Xionghe Qin, 2015. "Assessment and Evolution of the Sustainable Development Ability of Human–Ocean Systems in Coastal Regions of China," Sustainability, MDPI, vol. 7(8), pages 1-29, August.
    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. Liang Zhao & Lifei Xu & Ling Li & Jing Hu & Lin Mu, 2022. "Can Inbound Tourism Improve Regional Ecological Efficiency? An Empirical Analysis from China," IJERPH, MDPI, vol. 19(19), pages 1-19, September.
    2. Jie Fan & Zhuo Shen & Zhengwen Wang, 2022. "The Threshold Effect of Urban Levels on Environmental Collaborative Governance: An Empirical Analysis from Chinese Cities," IJERPH, MDPI, vol. 19(7), pages 1-11, March.
    3. Yingchang Li & Zhenzhen Liu & Gaifang Liu, 2023. "Evaluation of Tourism Ecological Security Based on Driving Force–Pressure–State–Influence–Response Framework and Analysis of Its Dynamic Evolution Characteristics and Driving Factors in Chinese Provin," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    4. Ke Wang & Yongsheng Yang & Genserik Reniers & Quanyi Huang, 2021. "A study into the spatiotemporal distribution of typhoon storm surge disasters in China," 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. 108(1), pages 1237-1256, August.
    5. Juan Hu & Chengjin Ma & Chen Li, 2022. "Can Green Innovation Improve Regional Environmental Carrying Capacity? An Empirical Analysis from China," IJERPH, MDPI, vol. 19(20), pages 1-15, October.
    6. Jianqing Zhang & Song Wang & Peilei Yang & Fei Fan & Xueli Wang, 2020. "Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test," Sustainability, MDPI, vol. 12(6), pages 1-26, March.
    7. Biggeri, Mario & Bortolotti, Luca & Saccone, Donatella & Tassinari, Mattia, 2023. "Policy and political challenges for a better world: The United States and China pathways towards the 2030 Agenda," Ecological Economics, Elsevier, vol. 209(C).

    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. Susaeta, Andres & Gutiérrez, Ester & Lozano, Sebastián, 2023. "Profit-efficiency analysis of forest ecosystem services in the southeastern US," Ecosystem Services, Elsevier, vol. 64(C).
    2. Yu, Binbin & Zhou, Xinru, 2023. "Urban administrative hierarchy and urban land use efficiency: Evidence from Chinese cities," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 178-195.
    3. Chunbin Zhang & Rong Zhou & Jundong Hou & Mengtong Feng, 2022. "Spatial-Temporal Evolution and Convergence Characteristics of Agricultural Eco-Efficiency in China from a Low-Carbon Perspective," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    4. Jie Zhang & Yajing Wang & Jiangfeng Li, 2023. "Maximize Eco-Economic Benefits with Minimum Land Resources Input: Evaluation and Evolution of Land Use Eco-Efficiency of Agglomerations in Middle Reaches of Yangtze River, China," IJERPH, MDPI, vol. 20(3), pages 1-19, January.
    5. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, vol. 13(14), pages 1-20, July.
    6. 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.
    7. 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.
    8. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    9. Xiao Zhang & Di Wang, 2023. "Beyond the Ecological Boundary: A Quasi-Natural Experiment on the Impact of National Marine Parks on Eco-Efficiency in Coastal Cities," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    10. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    11. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
    12. Pelloneová Natalie, 2023. "Evaluating Hockey Players Using Andersen and Petersen's Super-Efficiency Model: Who is the Best Czech Hockey Player in the NHL?," Polish Journal of Sport and Tourism, Sciendo, vol. 30(3), pages 23-28, September.
    13. Long Qian & Yunjie Zhou & Ying Sun, 2023. "Regional Differences, Distribution Dynamics, and Convergence of the Green Total Factor Productivity of China’s Cities under the Dual Carbon Targets," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    14. Yang, Guo-liang & Fukuyama, Hirofumi & Chen, Kun, 2019. "Investigating the regional sustainable performance of the Chinese real estate industry: A slack-based DEA approach," Omega, Elsevier, vol. 84(C), pages 141-159.
    15. Artur Wyszyński, 2017. "Sytuacja finansowa klubów Ekstraklasy w ujęciu metody DEA," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 69-99.
    16. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    17. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.
    18. Muliaman Hadad & Maximilian Hall & Karligash Kenjegalieva & Wimboh Santoso & Richard Simper, 2011. "Banking efficiency and stock market performance: an analysis of listed Indonesian banks," Review of Quantitative Finance and Accounting, Springer, vol. 37(1), pages 1-20, July.
    19. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    20. Richard Simper & Maximilian J.B. Hall & Wenbin B. Liu & Valentin Zelenyuk & Zhongbao Zhou, 2014. "How Relevant is the Choice of Risk Management Control Variable to Non-parametric Bank Profit Efficiency Analysis?," CEPA Working Papers Series WP122014, School of Economics, University of Queensland, Australia.

    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:9:p:958-:d:78556. 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.