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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
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    References listed on IDEAS

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    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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.
    10. 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.
    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. 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.
    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. P Burridge, 1981. "Testing for a Common Factor in a Spatial Autoregression Model," Environment and Planning A, , vol. 13(7), pages 795-800, July.
    15. 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.
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    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.

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