IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v59y2013i9id6-2013-agricecon.html
   My bibliography  Save this article

Fiscal decentralization, local government competition and farmland conversion in China: the co-integration analysis and the GMM estimation based on the inter-provincial panel data

Author

Listed:
  • Xu HENGZHOU

    (School of Management, Tianjin University, Tianjin, P.R. China)

  • Yin HONGCHUN

    (School of Management, Tianjin University, Tianjin, P.R. China)

  • Guo YUYAN

    (Institute of Social Policy, Jiangsu Academy of Social Sciences, Nanjing, P.R. China)

Abstract

Based on the Chinese provincial panel data from 1995 to 2008, using the panel co-integration method, this paper presents an empirical study on the long-term equilibrium relationship between the fiscal decentralization, the local government competition and the farmland conversion. On this basis, establishing the dynamic panel data model, using the generalized method of moments (GMM) to analyze the dynamic impact of the fiscal decentralization and the local government competition on the farmland conversion from the view of three cross-regional groups and the mainland China. The results show that there is a long-run co-integration relationship between the fiscal decentralization, the farmland conversion and the local government competition, and also there is a positive significant influence of the fiscal decentralization and the local government competition on the farmland conversion, a 1% increase in the degree of fiscal decentralization will increase the area of farmland conversion by 0.3280%. In addition, there is a significant difference of the incentive effect of local government competition on the farmland conversion in different regions. The paper ends with policy suggestions for perfecting the system of the fiscal decentralization, taxation and the division of responsibility and authority, reforming the criterion of the political achievement assessment, strengthening the management of land revenue, reducing the reliance of the local government on land finance; at the same time, the farmers' land property rights should be perfected.

Suggested Citation

  • Xu HENGZHOU & Yin HONGCHUN & Guo YUYAN, 2013. "Fiscal decentralization, local government competition and farmland conversion in China: the co-integration analysis and the GMM estimation based on the inter-provincial panel data," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(9), pages 420-429.
    • Handle: RePEc:caa:jnlage:v:59:y:2013:i:9:id:6-2013-agricecon
    DOI: 10.17221/6/2013-AGRICECON
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/6/2013-AGRICECON.html
    Download Restriction: free of charge
    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/6/2013-AGRICECON.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/6/2013-AGRICECON?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. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Tan, Rong & Qu, Futian & Heerink, Nico & Mettepenningen, Evy, 2011. "Rural to urban land conversion in China — How large is the over-conversion and what are its welfare implications?," China Economic Review, Elsevier, vol. 22(4), pages 474-484.
    3. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    4. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    7. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    8. Michael P Johnson, 2001. "Environmental Impacts of Urban Sprawl: A Survey of the Literature and Proposed Research Agenda," Environment and Planning A, , vol. 33(4), pages 717-735, April.
    9. Karen C. Seto & Robert K. Kaufmann, 2003. "Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data," Land Economics, University of Wisconsin Press, vol. 79(1), pages 106-121.
    10. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    11. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    12. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    13. Pierse, R. G. & Snell, A. J., 1995. "Temporal aggregation and the power of tests for a unit root," Journal of Econometrics, Elsevier, vol. 65(2), pages 333-345, February.
    14. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    15. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    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. Yongfu Huang, 2011. "Private investment and financial development in a globalized world," Empirical Economics, Springer, vol. 41(1), pages 43-56, August.
    2. Ciarreta, A. & Zarraga, A., 2010. "Economic growth-electricity consumption causality in 12 European countries: A dynamic panel data approach," Energy Policy, Elsevier, vol. 38(7), pages 3790-3796, July.
    3. Suleman Sarwar & Rida Waheed & Mehnoor Amir & Muqaddas Khalid, 2018. "Role of Energy on Economy The Case of Micro to Macro Level Analysis," Economics Bulletin, AccessEcon, vol. 38(4), pages 1905-1926.
    4. P K MISHRA & Manmohan MALL & B B PRADHAN, 2017. "Economic Growth, Structural Change And Intersectoral Linkages In Saarc Economies," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 17(2), pages 75-88.
    5. Ronald MacDonald & Flávio Vieira, "undated". "A panel data investigation of real exchange rate misalignment and growth," Working Papers 2010_13, Business School - Economics, University of Glasgow.
    6. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    7. Sung, Bongsuk & Song, Woo-Yong & Park, Sang-Do, 2018. "How foreign direct investment affects CO2 emission levels in the Chinese manufacturing industry: Evidence from panel data," Economic Systems, Elsevier, vol. 42(2), pages 320-331.
    8. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    9. Alessio Ciarlone, 2019. "The relationship between financial development and growth: the case of emerging Europe," Questioni di Economia e Finanza (Occasional Papers) 521, Bank of Italy, Economic Research and International Relations Area.
    10. Ciarreta Antuñano, Aitor & Zárraga Alonso, Ainhoa, 2008. "Economic Growth and Electricity Consumption in 12 European Countries: A Causality Analysis Using Panel Data," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    11. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    12. Charalampos Agiropoulos & Michael L. Polemis & Michael Siopsis & Sotiris Karkalakos, 2022. "Revisiting the finance‐growth nexus: A socioeconomic approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2762-2783, July.
    13. Ricardo R. Moreira, 2019. "Inflation and real exchange rate and macroeconomic gaps: causality for 50 emerging and developing countries," Economics Bulletin, AccessEcon, vol. 39(1), pages 142-158.
    14. Ardeshiri, Mansour & Moghaddasi, Reza & Yazdani, Saeed & Mohamadinejad, Amir, . "Trade Openness and Spatial Distribution of Manufacturing Industries: Iranian Provincial Evidence," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(1).
    15. Dehghan Shabani, Zahra & Shahnazi, Rouhollah, 2019. "Energy consumption, carbon dioxide emissions, information and communications technology, and gross domestic product in Iranian economic sectors: A panel causality analysis," Energy, Elsevier, vol. 169(C), pages 1064-1078.
    16. Khan , M. Zakir Saadullah & Hossain, M. Ismail, 2012. "Determinants of Trade Balance of Bangladesh: A Dynamic Panel Data Analysis," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(2), pages 45-65, June.
    17. Karikallio, Hanna, 2015. "Cross-commodity Price Transmission and Integration of the EU Livestock Market of Pork and Beef: Panel Time-series Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211832, International Association of Agricultural Economists.
    18. Saadaoui, Jamel, 2012. "Déséquilibres globaux, taux de change d’équilibre et modélisation stock-flux cohérente [Global Imbalances, Equilibrium Exchange Rates and Stock-Flow Consistent Modelling]," MPRA Paper 51332, University Library of Munich, Germany.
    19. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    20. Qamruzzaman, Md & Jianguo, Wei, 2020. "The asymmetric relationship between financial development, trade openness, foreign capital flows, and renewable energy consumption: Fresh evidence from panel NARDL investigation," Renewable Energy, Elsevier, vol. 159(C), pages 827-842.

    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:caa:jnlage:v:59:y:2013:i:9:id:6-2013-agricecon. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.