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Tax-Spend, Spend-Tax, or Fiscal Synchronization: A Panel Analysis of the Chinese Provincial Real Data

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  • Yuan-Hong Ho

    (Department of Public Finance, Feng Chia University, Taiwan)

  • Chiung-Ju Huang

    (Department of Public Finance, Feng Chia University, Taiwan)

Abstract

In this paper we tested whether the hypothesis of tax-spend, spend-tax, or fiscal synchronization applies to the 31 Chinese provinces using cross-sectional and time series data covering 1999 to 2005. The interaction between government revenues and government expenditures is tested with the newly developed panel unit root tests and heterogeneous panel cointegration tests. The results show that both revenues and expenditures are non-stationary but have a significant long-run relationship. The results based on multivariate panel error-correction models show that there is no significant causality between revenues and expenditures in the short run. However, in the long-run, a bi-directional causality exists between revenues and expenditures, thus supporting the fiscal synchronization hypothesis for 31 Chinese provinces over this sample period.

Suggested Citation

  • Yuan-Hong Ho & Chiung-Ju Huang, 2009. "Tax-Spend, Spend-Tax, or Fiscal Synchronization: A Panel Analysis of the Chinese Provincial Real Data," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 5(2), pages 257-272, July.
    • Handle: RePEc:jec:journl:v:5:y:2009:i:2:p:257-272
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    References listed on IDEAS

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    Cited by:

    1. Dizaji, Sajjad Faraji, 2014. "The effects of oil shocks on government expenditures and government revenues nexus (with an application to Iran's sanctions)," Economic Modelling, Elsevier, vol. 40(C), pages 299-313.
    2. Fuad M.M Kreishan & Mohamed Sayed Abou Elseoud & Mohammad Selim, 2018. "Oil Revenue and State Budget Dynamic Relationship: Evidence from Bahrain," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 174-179.
    3. G A Vamvoukas, 2011. "The Tax-Spend Debate with an Application to the EU," Economic Issues Journal Articles, Economic Issues, vol. 16(1), pages 65-88, March.
    4. Peter Calkins & Songsak Sriboonchitta & Aree Wiboonpongse, 2009. "Econometric Advances in the Service of Macroeconomic Prediction and Planning: An Overview," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 5(2), pages 159-166, July.
    5. Krasnopeeva, Natalia, 2023. "Revenues and expenditures of Russian regional budgets: Granger causality analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 5-33.
    6. Emre BULUT & Dilek ÇİL, 2024. "Asymmetric Causality Relationship Between Public Expenditures and Tax Revenues: Transition Economies Case," Sosyoekonomi Journal, Sosyoekonomi Society, issue 32(60).
    7. Garg, Sandya & Ashima Goyal & Rupayan Pal, 2014. "Why tax effort falls short of capacity in Indian states: A Stochastic frontier approach," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2014-032, Indira Gandhi Institute of Development Research, Mumbai, India.

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    More about this item

    Keywords

    tax-spend; spend-tax; fiscal synchronization; panel cointegration;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures

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