IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v34y2015icp122-134.html
   My bibliography  Save this article

Performance evaluation of China's Hi-tech zones in the post financial crisis era — Analysis based on the dynamic network SBM model

Author

Listed:
  • Bai, Xue-Jie
  • Yan, Wen-Kai
  • Chiu, Yung-Ho

Abstract

This paper evaluates the performance of national HTZs in China after the financial crisis. Unlike previous case studies or comparative analyses, we employ the Dynamic Network Slack-based Measurement to open the “black box” and examine the HTZs as a network that is connected by carry-overs between sequenced terms and links among different sectors. The results show that: 1) the efficiencies of both production sectors and R&D sectors are low in most Hi-tech zones, partly because the links between them are weak and the carry-overs are inappropriate; and 2) Total Factor Productivity exhibits that production sectors mainly depend on technical efficiency improvement, while R&D sectors hinge on technology progress.

Suggested Citation

  • Bai, Xue-Jie & Yan, Wen-Kai & Chiu, Yung-Ho, 2015. "Performance evaluation of China's Hi-tech zones in the post financial crisis era — Analysis based on the dynamic network SBM model," China Economic Review, Elsevier, vol. 34(C), pages 122-134.
  • Handle: RePEc:eee:chieco:v:34:y:2015:i:c:p:122-134
    DOI: 10.1016/j.chieco.2015.04.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043951X15000541
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chieco.2015.04.001?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. Rolf Färe & Shawna Grosskopf & Gerald Whittaker, 2014. "Network DEA II," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 307-327, Springer.
    2. Davis, Donald R. & Weinstein, David E., 1999. "Economic geography and regional production structure: An empirical investigation," European Economic Review, Elsevier, vol. 43(2), pages 379-407, February.
    3. Jarreau, Joachim & Poncet, Sandra, 2012. "Export sophistication and economic growth: Evidence from China," Journal of Development Economics, Elsevier, vol. 97(2), pages 281-292.
    4. 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.
    5. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    6. Lindelof, Peter & Lofsten, Hans, 2003. "Science Park Location and New Technology-Based Firms in Sweden--Implications for Strategy and Performance," Small Business Economics, Springer, vol. 20(3), pages 245-258, May.
    7. Homburg, Carsten, 2001. "Using data envelopment analysis to benchmark activities," International Journal of Production Economics, Elsevier, vol. 73(1), pages 51-58, August.
    8. Maria Guadalupe & Olga Kuzmina & Catherine Thomas, 2012. "Innovation and Foreign Ownership," American Economic Review, American Economic Association, vol. 102(7), pages 3594-3627, December.
    9. Fleisher, Belton & Li, Haizheng & Zhao, Min Qiang, 2010. "Human capital, economic growth, and regional inequality in China," Journal of Development Economics, Elsevier, vol. 92(2), pages 215-231, July.
    10. Paula Bustos, 2011. "Trade Liberalization, Exports, and Technology Upgrading: Evidence on the Impact of MERCOSUR on Argentinian Firms," American Economic Review, American Economic Association, vol. 101(1), pages 304-340, February.
    11. Zheng Song & Kjetil Storesletten & Fabrizio Zilibotti, 2011. "Growing Like China," American Economic Review, American Economic Association, vol. 101(1), pages 196-233, February.
    12. Link, Albert N. & Scott, John T., 2003. "U.S. science parks: the diffusion of an innovation and its effects on the academic missions of universities," International Journal of Industrial Organization, Elsevier, vol. 21(9), pages 1323-1356, November.
    13. Lee, Soohyung & Malin, Benjamin A., 2013. "Education's role in China's structural transformation," Journal of Development Economics, Elsevier, vol. 101(C), pages 148-166.
    14. Richard Ferguson & Christer Olofsson, 2004. "Science Parks and the Development of NTBFs-- Location, Survival and Growth," The Journal of Technology Transfer, Springer, vol. 29(1), pages 5-17, January.
    15. Castelli, Lorenzo & Pesenti, Raffaele & Ukovich, Walter, 2004. "DEA-like models for the efficiency evaluation of hierarchically structured units," European Journal of Operational Research, Elsevier, vol. 154(2), pages 465-476, April.
    16. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    17. John Whalley & Xiliang Zhao, 2010. "The Contribution of Human Capital to China's Economic Growth," NBER Working Papers 16592, National Bureau of Economic Research, Inc.
    18. Lofsten, Hans & Lindelof, Peter, 2002. "Science Parks and the growth of new technology-based firms--academic-industry links, innovation and markets," Research Policy, Elsevier, vol. 31(6), pages 859-876, August.
    19. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    20. Kao, Chiang, 2009. "Efficiency decomposition in network data envelopment analysis: A relational model," European Journal of Operational Research, Elsevier, vol. 192(3), pages 949-962, February.
    21. Peter Lindelöf & Hans Löfsten, 2004. "Proximity as a Resource Base for Competitive Advantage: University--Industry Links for Technology Transfer," The Journal of Technology Transfer, Springer, vol. 29(3_4), pages 311-326, August.
    22. Kuo-Feng Huang & Chwo-Ming Yu & Dah-Hsian Seetoo, 2012. "Firm innovation in policy-driven parks and spontaneous clusters: the smaller firm the better?," The Journal of Technology Transfer, Springer, vol. 37(5), pages 715-731, October.
    23. Zheng, Jinghai & Liu, Xiaoxuan & Bigsten, Arne, 1998. "Ownership Structure and Determinants of Technical Efficiency: An Application of Data Envelopment Analysis to Chinese Enterprises (1986-1990)," Journal of Comparative Economics, Elsevier, vol. 26(3), pages 465-484, September.
    24. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    25. Magnus Blomström & Ari Kokko & Mario Zejan, 2000. "Technology, Market Characteristics and Spillovers," Palgrave Macmillan Books, in: Foreign Direct Investment, chapter 10, pages 160-176, Palgrave Macmillan.
    26. Wang, Jin, 2013. "The economic impact of Special Economic Zones: Evidence from Chinese municipalities," Journal of Development Economics, Elsevier, vol. 101(C), pages 133-147.
    27. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    28. repec:hal:pseose:hal-00649282 is not listed on IDEAS
    29. Fukugawa, Nobuya, 2006. "Science parks in Japan and their value-added contributions to new technology-based firms," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 381-400, March.
    30. repec:bla:apacel:v:20:y:2006:i::p:1-37 is not listed on IDEAS
    31. Colombo, Massimo G. & Delmastro, Marco, 2002. "How effective are technology incubators?: Evidence from Italy," Research Policy, Elsevier, vol. 31(7), pages 1103-1122, September.
    32. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    33. Albert N. Link, 2007. "Entrepreneurship, Innovation, and Technological Change," Technical Reports 070716, Brandmeyer Center for Applied Economics, School of Business, University of Kansas.
    34. Alberto Albahari & Andrés Barge‐Gil & Salvador Pérez‐Canto & Aurelia Modrego, 2018. "The influence of science and technology park characteristics on firms' innovation results," Papers in Regional Science, Wiley Blackwell, vol. 97(2), pages 253-279, June.
    35. Kao, Chiang, 2009. "Efficiency measurement for parallel production systems," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1107-1112, August.
    36. Alwyn Young, 2003. "Gold into Base Metals: Productivity Growth in the People's Republic of China during the Reform Period," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1220-1261, December.
    37. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    38. Nelson, Andrew J., 2014. "From the ivory tower to the startup garage: Organizational context and commercialization processes," Research Policy, Elsevier, vol. 43(7), pages 1144-1156.
    39. Albert N. Link & John T. Scott, 2007. "The economics of university research parks," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 23(4), pages 661-674, Winter.
    40. Storey, D. J. & Tether, B. S., 1998. "Public policy measures to support new technology-based firms in the European Union," Research Policy, Elsevier, vol. 26(9), pages 1037-1057, April.
    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. Lingfan Yang & Xiaolong Luo & Ziyao Ding & Xiaoman Liu & Zongni Gu, 2022. "Restructuring for Growth in Development Zones, China: A Systematic Literature and Policy Review (1984–2022)," Land, MDPI, vol. 11(7), pages 1-32, June.
    2. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2020. "Estimating the multi-period efficiency of high-tech research institutes of the Chinese Academy of Sciences: A dynamic slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    3. Qiong Wang & Ru Yang & Ruyue Zhao & Chengyuan Wang, 2019. "Does State-level Upgrade of High-tech Zones Promote Urban Innovation Efficiency: Evidence from China," Sustainability, MDPI, vol. 11(21), pages 1-14, November.
    4. Wei Liu & Hong-Bo Shi & Zhe Zhang & Sang-Bing Tsai & Yuming Zhai & Quan Chen & Jiangtao Wang, 2018. "The Development Evaluation of Economic Zones in China," IJERPH, MDPI, vol. 15(1), pages 1-14, January.
    5. Weiwei Yang & Jiaru Kang & Zhiyuan Ge, 2022. "The Impact of the Upgrading of High-tech Zones on the Total Factor Productivity of Enterprises: Evidence from Guasi-natural Experiments," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(1), pages 1-7.
    6. Bai, Xue-Jie & Li, Zhen-Yang & Zeng, Jin, 2020. "Performance evaluation of China's innovation during the industry-university-research collaboration process—an analysis basis on the dynamic network slacks-based measurement model," Technology in Society, Elsevier, vol. 62(C).
    7. Lanzhuang Xu & Hu Xue & Qianrong Wu, 2022. "The Impact of Development Zones on Economic Growth in Less Developed Regions: Evidence from Guangxi, China," Land, MDPI, vol. 11(10), pages 1-20, September.
    8. Xionghe Qin & Debin Du & Mei-Po Kwan, 2019. "Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 721-747, May.
    9. Zhuang, Liang & Ye, Chao, 2020. "Changing imbalance: Spatial production of national high-tech industrial development zones in China (1988-2018)," Land Use Policy, Elsevier, vol. 94(C).
    10. Xionghe Qin & Debin Du, 2017. "Do External or Internal Technology Spillovers Have a Stronger Influence on Innovation Efficiency in China?," Sustainability, MDPI, vol. 9(9), pages 1-17, September.
    11. Siying Yang & Wei Liu & Zhe Zhang, 2022. "The Dynamic Value of China’s High-Tech Zones: Direct and Indirect Influence on Urban Ecological Innovation," Land, MDPI, vol. 11(1), pages 1-19, January.
    12. Xiaobing Yu & Xuejing Wu & Tongzhao Huo, 2020. "Combine MCDM Methods and PSO to Evaluate Economic Benefits of High-Tech Zones in China," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    13. Mahmoudabadi, Mohammad Zarei & Azar, Adel & Emrouznejad, Ali, 2018. "A novel multilevel network slacks-based measure with an application in electric utility companies," Energy, Elsevier, vol. 158(C), pages 1120-1129.
    14. Wei-Kang Wang & Wen-Min Lu & Qian Long Kweh & Yu-Li Liu, 2017. "Decentralized and concentrated investments in China and the performance of Taiwanese listed electronic companies," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2443-2455, May.

    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. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    2. 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.
    3. Alberto Albahari & Magnus Klofsten & Juan Carlos Rubio-Romero, 2019. "Science and Technology Parks: a study of value creation for park tenants," The Journal of Technology Transfer, Springer, vol. 44(4), pages 1256-1272, August.
    4. Li, Yongjun & Chen, Yao & Liang, Liang & Xie, Jianhui, 2012. "DEA models for extended two-stage network structures," Omega, Elsevier, vol. 40(5), pages 611-618.
    5. Zhang, Linyan & Chen, Kun, 2019. "Hierarchical network systems: An application to high-technology industry in China," Omega, Elsevier, vol. 82(C), pages 118-131.
    6. Cook, Wade D. & Liang, Liang & Zhu, Joe, 2010. "Measuring performance of two-stage network structures by DEA: A review and future perspective," Omega, Elsevier, vol. 38(6), pages 423-430, December.
    7. Tavakoli, Ibrahim M. & Mostafaee, Amin, 2019. "Free disposal hull efficiency scores of units with network structures," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1027-1036.
    8. Fukuyama, Hirofumi & Mirdehghan, S.M., 2012. "Identifying the efficiency status in network DEA," European Journal of Operational Research, Elsevier, vol. 220(1), pages 85-92.
    9. Kao, Chiang, 2014. "Efficiency decomposition in network data envelopment analysis with slacks-based measures," Omega, Elsevier, vol. 45(C), pages 1-6.
    10. Kao, Chiang, 2014. "Efficiency decomposition for general multi-stage systems in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 232(1), pages 117-124.
    11. Bai, Xuejie & Jin, Zeng & Chiu, Yung-Ho, 2021. "Performance evaluation of China's railway passenger transportation sector," Research in Transportation Economics, Elsevier, vol. 90(C).
    12. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    13. Huang, Tai-Hsin & Chen, Kuan-Chen & Lin, Chung-I, 2018. "An extension from network DEA to copula-based network SFA: Evidence from the U.S. commercial banks in 2009," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 51-62.
    14. Kao, Chiang, 2016. "Efficiency decomposition and aggregation in network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 255(3), pages 778-786.
    15. Alberto Albahari & Andrés Barge-Gil & Salvador Pérez-Canto & Paolo Landoni, 2023. "The effect of science and technology parks on tenant firms: a literature review," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1489-1531, August.
    16. Wanke, Peter & Tsionas, Mike G. & Chen, Zhongfei & Moreira Antunes, Jorge Junio, 2020. "Dynamic network DEA and SFA models for accounting and financial indicators with an analysis of super-efficiency in stochastic frontiers: An efficiency comparison in OECD banking," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 456-468.
    17. Kao, Chiang, 2020. "Decomposition of slacks-based efficiency measures in network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 283(2), pages 588-600.
    18. Suvvari Anandarao & S. Raja Sethu Durai & Phanindra Goyari, 2019. "Efficiency Decomposition in two-stage Data Envelopment Analysis: An application to Life Insurance companies in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 271-285, June.
    19. Zhen Shi & Yingju Wu & Yung-ho Chiu & Fengping Wu & Changfeng Shi, 2020. "Dynamic Linkages among Mining Production and Land Rehabilitation Efficiency in China," Land, MDPI, vol. 9(3), pages 1-25, March.
    20. Omrani, Hashem & Soltanzadeh, Elham, 2016. "Dynamic DEA models with network structure: An application for Iranian airlines," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 52-61.

    More about this item

    Keywords

    Hi-tech zones; Efficiency; Dynamic Network SBM;
    All these keywords.

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

    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:eee:chieco:v:34:y:2015:i:c:p:122-134. 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/chieco .

    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.