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Rethinking the Role of the Agricultural Sector in the Thai Economy and Its Income Distribution: A SAM Analysis

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  • Thaiprasert, Nalitra

Abstract

The Agricultural sector has played a significant role in the Thai economy. It has been an engine of Thai industrial growth in the past. Its various kinds of good-quality agricultural produce and its strong comparative advantage are globally well-known. However, Thai agriculture has been devitalized since the 1980s and its population has been excluded from the country’s rapid development and growth opportunities. The bias of government policies has been the main cause of the depressed agrarian conditions. This paper investigates potential for reviving the role of the agricultural sector in the Thai economy and improving its income distribution, using a Social Accounting Matrix(SAM)for analysis. It studies how stimulations of the Thai agricultural sector would affect the Thai economy and its income distribution compared to the manufacturing industrial sectors. Results from the policy simulations show clearly that agricultural and agricultural-processing sectors in Thailand have higher potential to increase domestic production through linkage or multiplier effects compared to that of manufacturing industrial sector. The agricultural and agricultural-processing sectors also have better potentials to generate more income to different households, to create better income distribution, and to induce more savings in the country.

Suggested Citation

  • Thaiprasert, Nalitra, 2004. "Rethinking the Role of the Agricultural Sector in the Thai Economy and Its Income Distribution: A SAM Analysis," MPRA Paper 1055, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:1055
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    File URL: https://mpra.ub.uni-muenchen.de/1055/1/MPRA_paper_1055.pdf
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    References listed on IDEAS

    as
    1. Jonathan L. Willis, 2000. "Estimation of adjustment costs in a model of state-dependent pricing," Research Working Paper RWP 00-07, Federal Reserve Bank of Kansas City.
    2. Daniel Levy & Hainpeng (Allan) Chen & Sourav RayAuthor-Name: Mark Bergen, 2004. "Asymmetric Price Adjustment in the Small: An Implication of Rational Inattention," Emory Economics 0408, Department of Economics, Emory University (Atlanta).
    3. N. Gregory Mankiw, 1985. "Small Menu Costs and Large Business Cycles: A Macroeconomic Model of Monopoly," The Quarterly Journal of Economics, Oxford University Press, vol. 100(2), pages 529-538.
    4. Robert B. Barsky & Mark Bergen & Shantanu Dutta & Daniel Levy, 2003. "What Can the Price Gap between Branded and Private-Label Products Tell Us about Markups?," NBER Chapters,in: Scanner Data and Price Indexes, pages 165-228 National Bureau of Economic Research, Inc.
    5. Daniel Levy & Mark Bergen & Shantanu Dutta & Robert Venable, 1997. "The Magnitude of Menu Costs: Direct Evidence from Large U. S. Supermarket Chains," The Quarterly Journal of Economics, Oxford University Press, vol. 112(3), pages 791-824.
    6. Ball, Laurence & Romer, David, 2003. " Inflation and the Informativeness of Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(2), pages 177-196, April.
    7. Abel P. Jeuland & Steven M. Shugan, 1983. "Managing Channel Profits," Marketing Science, INFORMS, vol. 2(3), pages 239-272.
    8. Mark Bils & Peter J. Klenow, 2004. "Some Evidence on the Importance of Sticky Prices," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 947-985, October.
    9. Steven M. Shugan, 1985. "Implicit Understandings in Channels of Distribution," Management Science, INFORMS, vol. 31(4), pages 435-460, April.
    10. Levy, Daniel & Dutta, Shantanu & Bergen, Mark, 2002. "Heterogeneity in Price Rigidity: Evidence from a Case Study Using Microlevel Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 197-220, February.
    11. Elizabeth J. Warner & Robert B. Barsky, 1995. "The Timing and Magnitude of Retail Store Markdowns: Evidence from Weekends and Holidays," The Quarterly Journal of Economics, Oxford University Press, vol. 110(2), pages 321-352.
    12. Dutta, Shantanu & Bergen, Mark & Levy, Daniel, 2002. "Price flexibility in channels of distribution: Evidence from scanner data," Journal of Economic Dynamics and Control, Elsevier, vol. 26(11), pages 1845-1900, September.
    13. Benjamin Eden, 2001. "Inflation and Price Adjustment: An Analysis of Microdata," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(3), pages 607-636, July.
    14. Rotemberg, Julio J, 1982. "Sticky Prices in the United States," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1187-1211, December.
    15. Margaret E. Slade & G.R.E.Q.A.M., 1998. "Optimal Pricing with Costly Adjustment: Evidence from Retail-Grocery Prices," Review of Economic Studies, Oxford University Press, vol. 65(1), pages 87-107.
    16. Cecchetti, Stephen G., 1986. "The frequency of price adjustment : A study of the newsstand prices of magazines," Journal of Econometrics, Elsevier, vol. 31(3), pages 255-274, April.
    17. Anil K Kashyap, 1995. "Sticky Prices: New Evidence from Retail Catalogs," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 245-274.
    18. Carlton, Dennis W, 1986. "The Rigidity of Prices," American Economic Review, American Economic Association, vol. 76(4), pages 637-658, September.
    19. George J. Stigler & James K. Kindahl, 1970. "The Behavior of Industrial Prices," NBER Books, National Bureau of Economic Research, Inc, number stig70-1, January.
    20. Davis, Michael C & Hamilton, James D, 2004. "Why Are Prices Sticky? The Dynamics of Wholesale Gasoline Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(1), pages 17-37, February.
    21. David Genesove, 2003. "The Nominal Rigidity of Apartment Rents," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 844-853, November.
    22. Robert C. Feenstra & Matthew D. Shapiro, 2003. "Scanner Data and Price Indexes," NBER Books, National Bureau of Economic Research, Inc, number feen03-1, January.
    23. Dean Croushore & Tom Stark, 2002. "Forecasting coin demand," Working Papers 02-15, Federal Reserve Bank of Philadelphia, revised 01 Mar 2003.
    24. Dutta, Shantanu, et al, 1999. "Menu Costs, Posted Prices, and Multiproduct Retailers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(4), pages 683-703, November.
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    Cited by:

    1. Marcos Esaú Domínguez Viera, 2009. "Aplicación de un modelo de multiplicadores contables y de análisis estructural a políticas sociales seleccionadas en el estado de Nuevo León," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 95-137, November.
    2. Thaiprasert, Nalitra, 2006. "Rethinking the Role of Agriculture and Agro-Industry in the Economic Development of Thailand: Input-Output and CGE Analyses (Ph.D. Dissertation)," MPRA Paper 1089, University Library of Munich, Germany.
    3. repec:ebl:ecbull:v:15:y:2007:i:17:p:1-14 is not listed on IDEAS
    4. Sanjaya Acharya, 2007. "Flow Structure in Nepal and the Benefit to the Poor," Economics Bulletin, AccessEcon, vol. 15(17), pages 1-14.

    More about this item

    Keywords

    Thai agriculture; Agricultural sector; income distribution; SAM analysis;

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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