IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v59y2013i7id126-2012-agricecon.html
   My bibliography  Save this article

A spatial econometric study on effects of fiscal and financial supports for agriculture in China

Author

Listed:
  • Gao YUANDONG

    (College of Economics and Management, Southwest University, Chongqing, P.R. China)

  • Wen TAO

    (College of Economics and Management, Southwest University, Chongqing, P.R. China)

  • Yi WEN

    (College of Economics and Management, Southwest University, Chongqing, P.R. China)

  • Wang XIAOHUA

    (College of Economics and Management, Southwest University, Chongqing, P.R. China)

Abstract

Since the reform and opening-up, the disparity between Chinese rural economy and the overall national economic development has already become the key constraint for further development of the national economy. In order to increase the farmers' income and to promote rural economic development, the efforts of China's budgetary and financial policies to support agriculture have been strengthened year by year. However, it lacks an accurate and effective assessment to evaluate the effects of China's fiscal and financial policies supports for agriculture. This paper proposes to estimate and measure the effects of China's fiscal and financial supports for agriculture utilizing the Chinese provincial panel data on the basis of the latest spatial panel econometric method. The results show that since China intensified the fiscal and financial support in 2004, the direct effects of fiscal and financial supports for agriculture have improved, but the spatial spillover effects have turned from positive to negative.

Suggested Citation

  • Gao YUANDONG & Wen TAO & Yi WEN & Wang XIAOHUA, 2013. "A spatial econometric study on effects of fiscal and financial supports for agriculture in China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(7), pages 315-332.
    • Handle: RePEc:caa:jnlage:v:59:y:2013:i:7:id:126-2012-agricecon
    DOI: 10.17221/126/2012-AGRICECON
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/126/2012-AGRICECON.html
    Download Restriction: free of charge
    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/126/2012-AGRICECON.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/126/2012-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. Valerien O. Pede & Raymond J. G. M. Florax & Henri L. F. De Groot, 2007. "Technological Leadership, Human Capital and Economic Growth: a Spatial Econometric Analysis for US Counties, 1969-2003," Annals of Economics and Statistics, GENES, issue 87-88, pages 103-124.
    2. Felix Rioja & Neven Valev, 2004. "Finance and the Sources of Growth at Various Stages of Economic Development," Economic Inquiry, Western Economic Association International, vol. 42(1), pages 127-140, January.
    3. Xing, Wen-yan, 2010. "The Impact of China's Fiscal Expenditure in Agriculture on Farmer’s Income," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 2(05), pages 1-4, May.
    4. Paul Allanson, 2006. "The Redistributive Effects of Agricultural Policy on Scottish Farm Incomes," Journal of Agricultural Economics, Wiley Blackwell, vol. 57(1), pages 117-128, March.
    5. Holtz-Eakin, Douglas, 1994. "Public-Sector Capital and the Productivity Puzzle," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 12-21, February.
    6. P Burridge, 1981. "Testing for a Common Factor in a Spatial Autoregression Model," Environment and Planning A, , vol. 13(7), pages 795-800, July.
    7. Robert M. Townsend & Jacob Yaron, 2001. "The credit risk-contingency system of an Asian development bank," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 25(Q III), pages 31-48.
    8. LeSage, James P., 2011. "Discussion: Applications and Innovations in Spatial Econometrics," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(3), pages 1-5, August.
    9. Alif Darrat, 1999. "Are Financial Deepening and Economic Growth Causally Related? Another Look at the Evidence," International Economic Journal, Taylor & Francis Journals, vol. 13(3), pages 19-35.
    10. Greenwood, Jeremy & Jovanovic, Boyan, 1990. "Financial Development, Growth, and the Distribution of Income," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 1076-1107, October.
    11. Jayne, Thomas S. & Boughton, Duncan, 2011. "What Kind of Agricultural Strategies Lead to Broad-Based Growth: Implications For Country-Led Agricultural Investment Programs," Food Security International Development Policy Syntheses 107459, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    12. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    13. Farrell E. Jensen, 2000. "The Farm Credit System as a Government-Sponsored Enterprise," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 22(2), pages 326-335.
    14. Lin, Xu & Lee, Lung-fei, 2010. "GMM estimation of spatial autoregressive models with unknown heteroskedasticity," Journal of Econometrics, Elsevier, vol. 157(1), pages 34-52, July.
    15. Evans, Paul & Karras, Georgios, 1994. "Are Government Activities Productive? Evidence from a Panel of U.S. States," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 1-11, February.
    16. Liu, Xiaodong & Lee, Lung-fei & Bollinger, Christopher R., 2010. "An efficient GMM estimator of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 159(2), pages 303-319, December.
    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. İbrahim Bozkurt & M. Veysel Kaya, 2021. "Agricultural production index: International comparison," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(6), pages 236-245.

    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. Harald Badinger & Peter Egger, 2015. "Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
    2. Timo Mitze & Selin Özyurt, 2014. "The Spatial Dimension of Trade- and FDI-driven Productivity Growth in Chinese Provinces: A Global Cointegration Approach," Growth and Change, Wiley Blackwell, vol. 45(2), pages 263-291, June.
    3. Debarsy, Nicolas & Gnabo, Jean-Yves & Kerkour, Malik, 2017. "Sovereign wealth funds’ cross-border investments: Assessing the role of country-level drivers and spatial competition," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 68-87.
    4. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," CESifo Working Paper Series 5428, CESifo.
    5. Baltagi, Badi H. & Pirotte, Alain & Yang, Zhenlin, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Journal of Econometrics, Elsevier, vol. 224(2), pages 245-270.
    6. Pesaran, M. Hashem & Yang, Cynthia Fan, 2021. "Estimation and inference in spatial models with dominant units," Journal of Econometrics, Elsevier, vol. 221(2), pages 591-615.
    7. Tizheng Li & Xiaojuan Kang, 2022. "Variable selection of higher-order partially linear spatial autoregressive model with a diverging number of parameters," Statistical Papers, Springer, vol. 63(1), pages 243-285, February.
    8. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    9. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1356-1378, November.
    10. Patricia Suárez & Matías Mayor & Begoña Cueto, 2012. "The accessibility to employment offices in the Spanish labour market," Papers in Regional Science, Wiley Blackwell, vol. 91(4), pages 823-848, November.
    11. Debarsy, Nicolas & Jin, Fei & Lee, Lung-fei, 2015. "Large sample properties of the matrix exponential spatial specification with an application to FDI," Journal of Econometrics, Elsevier, vol. 188(1), pages 1-21.
    12. Benjamin Montmartin & Marcos Herrera & Nadine Massard, 2017. "R&D policy regimes in France: New evidence from a spatio-temporal analysis," Working Papers hal-01559041, HAL.
    13. Liu, Shew Fan & Yang, Zhenlin, 2015. "Modified QML estimation of spatial autoregressive models with unknown heteroskedasticity and nonnormality," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 50-70.
    14. Imen Mohamed Sghaier, 2022. "Foreign Capital Inflows and Economic Growth in North African Countries: the Role of Human Capital," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 2804-2821, December.
    15. Sun, Yanqing & Zhang, Yuanqing & Huang, Jianhua Z., 2019. "Estimation of a semiparametric varying-coefficient mixed regressive spatial autoregressive model," Econometrics and Statistics, Elsevier, vol. 9(C), pages 140-155.
    16. Bai, Jushan & Li, Kunpeng, 2021. "Dynamic spatial panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 224(1), pages 134-160.
    17. Zhang, Xinyu & Yu, Jihai, 2018. "Spatial weights matrix selection and model averaging for spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 203(1), pages 1-18.
    18. Liangjun Su & Xi Qu, 2017. "Specification Test for Spatial Autoregressive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 572-584, October.
    19. James Paul LeSage & Manfred M. Fischer, 2020. "Cross-sectional dependence model specifications in a static trade panel data setting," Journal of Geographical Systems, Springer, vol. 22(1), pages 5-46, January.
    20. Nicolas Debarsy & Jean-Yves Gnabo & Malik Kerkour, 2016. "Sovereign Wealth Funds’ cross-border investments: assessing the role of country-level drivers and spatial competition," Working Papers hal-01251243, HAL.

    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:7:id:126-2012-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.