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Empirical Analysis of the Driving Factors of China’s ‘Land Finance’ Mechanism Using Soft Budget Constraint Theory and the PLS-SEM Model

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  • Xinhua Zhu

    (School of Public Administration, Hohai University, Nanjing 211000, China)

  • Yigang Wei

    (School of Economics and Management, Beihang University, Beijing 100083, China
    Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operation, Beijing 100083, China)

  • Yani Lai

    (Department of Construction Management and Real Estate, Shenzhen University , Shenzhen 518060, China)

  • Yan Li

    (Business School, Shandong University at Weihai, Weihai 264209, China)

  • Sujuan Zhong

    (School of Public Administration, Hohai University, Nanjing 211000, China)

  • Chun Dai

    (School of Public Administration, Hohai University, Nanjing 211000, China)

Abstract

“Land finance” refers to the key fiscal strategy in which local governments in China generate revenue through land grant premiums and land tax revenues. A burgeoning body of literature has focused on the driving factors of China’s land finance from different aspects including fiscal decentralization, revenue decentralization, competition among local governments, land marketization, infrastructure development, and economic development. However, little research has provided a comprehensive perspective integrating social, economic and institutional aspects to investigate the driving forces of these unique and profound issues in China. This study aims to investigate the driving factors and working mechanism of land finance. A theoretical and empirical model was proposed using soft budget constraint theory and least squares structural equation modeling (PLS-SEM). The panel data of 35 Chinese major cities were assessed between 2006 and 2015. The empirical results contend the following: (1) the land transfer and fiscal systems provide the key impetus for land financing because the land transfer system forms a stable modality, and the fiscal system is an important incentive for land financing; (2) the effects of the economic development and political system are insignificant; and (3) the political and land systems significantly influence economic development. Our contributions focus on two aspects. Firstly, a comprehensive framework of factors germane to land finance is constructed. Secondly, a new research methodology for land use study is proposed. To the best of our knowledge, the current study is the first to employ the PLS-SEM method to delineate and verify the influence paths between multiple driving factors and land finance in different cities. Hence, research reliability can be improved.

Suggested Citation

  • Xinhua Zhu & Yigang Wei & Yani Lai & Yan Li & Sujuan Zhong & Chun Dai, 2019. "Empirical Analysis of the Driving Factors of China’s ‘Land Finance’ Mechanism Using Soft Budget Constraint Theory and the PLS-SEM Model," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:742-:d:202323
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    1. Guo, Shen & Liu, Lezheng & Zhao, Yan, 2015. "The business cycle implications of land financing in China," Economic Modelling, Elsevier, vol. 46(C), pages 225-237.
    2. Claes Cassel & Peter Hackl & Anders Westlund, 1999. "Robustness of partial least-squares method for estimating latent variable quality structures," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(4), pages 435-446.
    3. Qian, Yingyi & Roland, Gerard, 1998. "Federalism and the Soft Budget Constraint," American Economic Review, American Economic Association, vol. 88(5), pages 1143-1162, December.
    4. Qiang Fu, 2015. "When fiscal recentralisation meets urban reforms: Prefectural land finance and its association with access to housing in urban China," Urban Studies, Urban Studies Journal Limited, vol. 52(10), pages 1791-1809, August.
    5. Goldfeld, Stephen M. & Quandt, Richard E., 1988. "Budget constraints, bailouts, and the firm under central planning," Journal of Comparative Economics, Elsevier, vol. 12(4), pages 502-520, December.
    6. Wang, Yuan & Hui, Eddie Chi-man, 2017. "Are local governments maximizing land revenue? Evidence from China," China Economic Review, Elsevier, vol. 43(C), pages 196-215.
    7. Thushyanthan Baskaran & Lars P. Feld & Jan Schnellenbach, 2016. "Fiscal Federalism, Decentralization, And Economic Growth: A Meta-Analysis," Economic Inquiry, Western Economic Association International, vol. 54(3), pages 1445-1463, July.
    8. Olivier Blanchard & Andrei Shleifer, 2001. "Federalism With and Without Political Centralization: China Versus Russia," IMF Staff Papers, Palgrave Macmillan, vol. 48(4), pages 1-8.
    9. Qian, Meijun & Huang, Yasheng, 2016. "Political institutions, entrenchments, and the sustainability of economic development – A lesson from rural finance," China Economic Review, Elsevier, vol. 40(C), pages 152-178.
    10. Jiancheng Guan & Nan Ma, 2009. "Structural equation model with PLS path modeling for an integrated system of publicly funded basic research," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 683-698, December.
    11. Weingast, Barry R., 2014. "Second Generation Fiscal Federalism: Political Aspects of Decentralization and Economic Development," World Development, Elsevier, vol. 53(C), pages 14-25.
    12. Pi-Han Tsai, 2016. "Fiscal incentives and political budget cycles in China," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 23(6), pages 1030-1073, December.
    13. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    14. Justin Yifu Lin & Zhiqiang Liu, 2000. "Fiscal Decentralization and Economic Growth in China," Economic Development and Cultural Change, University of Chicago Press, vol. 49(1), pages 1-21.
    15. Shen, Weiwei & Xiao, Weizhou & Wang, Xin, 2016. "Passenger satisfaction evaluation model for Urban rail transit: A structural equation modeling based on partial least squares," Transport Policy, Elsevier, vol. 46(C), pages 20-31.
    16. Hongbin Li & Li-An Zhou, 2003. "Political Turnover and Economic Performance: The Disciplinary Role of Personnel Control in China," Discussion Papers 00002, Chinese University of Hong Kong, Department of Economics.
    17. Daniel Carvalho, 2014. "The Real Effects of Government-Owned Banks: Evidence from an Emerging Market," Journal of Finance, American Finance Association, vol. 69(2), pages 577-609, April.
    18. Astrachan, Claudia Binz & Patel, Vijay K. & Wanzenried, Gabrielle, 2014. "A comparative study of CB-SEM and PLS-SEM for theory development in family firm research," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 116-128.
    19. Drazen, Allan & Eslava, Marcela, 2010. "Electoral manipulation via voter-friendly spending: Theory and evidence," Journal of Development Economics, Elsevier, vol. 92(1), pages 39-52, May.
    20. Pan, Jiun-Nan & Huang, Jr-Tsung & Chiang, Tsun-Feng, 2015. "Empirical study of the local government deficit, land finance and real estate markets in China," China Economic Review, Elsevier, vol. 32(C), pages 57-67.
    21. Liu, Yong & Fan, Peilei & Yue, Wenze & Song, Yan, 2018. "Impacts of land finance on urban sprawl in China: The case of Chongqing," Land Use Policy, Elsevier, vol. 72(C), pages 420-432.
    22. Hu, Fox Z.Y. & Qian, Jiwei, 2017. "Land-based finance, fiscal autonomy and land supply for affordable housing in urban China: A prefecture-level analysis," Land Use Policy, Elsevier, vol. 69(C), pages 454-460.
    23. Wen Wang & Fangzhi Ye, 2016. "The Political Economy of Land Finance in China," Public Budgeting & Finance, Wiley Blackwell, vol. 36(2), pages 91-110, June.
    24. Yang, Zhou, 2016. "Tax reform, fiscal decentralization, and regional economic growth: New evidence from China," Economic Modelling, Elsevier, vol. 59(C), pages 520-528.
    25. Moesen, Wim & van Cauwenberge, Philippe, 2000. "The Status of the Budget Constraint, Federalism and the Relative Size of Government: A Bureaucracy Approach," Public Choice, Springer, vol. 104(3-4), pages 207-224, September.
    26. Kung, James Kai-Sing & Chen, Shuo, 2011. "The Tragedy of the Nomenklatura: Career Incentives and Political Radicalism during China's Great Leap Famine," American Political Science Review, Cambridge University Press, vol. 105(1), pages 27-45, February.
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