Advanced Search
MyIDEAS: Login to save this paper or follow this series

The determinants of agricultural production : a cross-country analysis

Contents:

Author Info

  • Mundlak, Yair
  • Larson, Don
  • Butzer, Ritz

Abstract

In this analysis of capital's role in agricultural production, a new construction of data on capital allowed the authors to advance the cross-country study of production functions. The model reveals the relative importance of capital, a finding quite robust to modifications of the model and the disaggregation of capital to its two components. The model is also consistent with the view that lack of physical capital serves as a constraint on agricultural growth. The shift to more productive techniques is associated with a decline in labor, reflecting labor-saving technical changes. This is not news, but it is emphasized here because it comes out an integral view of the process which distinguishes between the core technology and the changes that took place over time and between countries. Not only is capital important to agricultural production, and agricultural development dependent on the economic environment, but agriculture is more cost-capital-intensive than nonagriculture. Capital is all the more important as a factor of production in that land (also important) varies little over time. The availability of agricultural capital determines whether the gap between available and applied technologies can be closed. Prices have little direct, immediate impact on agricultural growth, beyond their impact through inputs and choice of technology. The legacy of past policies that distorted the relative returns to economic activity is enshrined in current stocks, which may respond slowly to policy reform. The analysis assumes that the production technology is heterogeneous and the implemented technology is endogenous and determined jointly with the level of unconstrained inputs. Thus, a change in the state variables affects both the technology and the inputs, so the production function is not identified. To overcome that problem, changes in productivity are decomposed to three orthogonal components caused by the fundamentally different processes underlying panel data. The statistical framework explains the unstable results observed in production functions derived from panel data. Statistically, the results depend on how the data are projected. Comparisons between units over time or of deviations from unit-means or time-means all describe different processes. This is based on theory but has an intuitive appeal as well. In this case, the spread in productivity among countries is different from the spread in productivity for a country through time. The factors explaining the spread will differ. The modeling approach should explicitly recognize the fact that panel data measure a combination of economic phenomena.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www-wds.worldbank.org/servlet/WDSContentServer/WDSP/IB/2000/02/24/000009265_3971110141412/Rendered/PDF/multi_page.pdf
Download Restriction: no

Bibliographic Info

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 1827.

as in new window
Length:
Date of creation: 30 Sep 1997
Date of revision:
Handle: RePEc:wbk:wbrwps:1827

Contact details of provider:
Postal: 1818 H Street, N.W., Washington, DC 20433
Phone: (202) 477-1234
Email:
Web page: http://www.worldbank.org/
More information through EDIRC

Related research

Keywords: Labor Policies; Environmental Economics&Policies; Economic Theory&Research; Agricultural Knowledge&Information Systems; General Technology; Economic Theory&Research; Environmental Economics&Policies; Agricultural Knowledge&Information Systems; Economic Growth; Scientific Research&Science Parks;

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Maddala, G S, 1971. "The Use of Variance Components Models in Pooling Cross Section and Time Series Data," Econometrica, Econometric Society, vol. 39(2), pages 341-58, March.
  2. Saburo Yamada & Vernon W. Ruttan, 1980. "International Comparisons of Productivity in Agriculture," NBER Chapters, in: New Developments in Productivity Measurement, pages 507-594 National Bureau of Economic Research, Inc.
  3. Antle, John M, 1983. "Infrastructure and Aggregate Agricultural Productivity: International Evidence," Economic Development and Cultural Change, University of Chicago Press, vol. 31(3), pages 609-19, April.
  4. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
  5. Mundlak, Yair, 1993. "On the Empirical Aspects of Economic Growth Theory," American Economic Review, American Economic Association, vol. 83(2), pages 415-20, May.
  6. Kawagoe, Toshihiko & Hayami, Yujiro & Ruttan, Vernon W., 1985. "The intercountry agricultural production function and productivity differences among countries," Journal of Development Economics, Elsevier, vol. 19(1-2), pages 113-132.
  7. Ball, V Eldon, et al, 1993. "The Stock of Capital in European Community Agriculture," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 20(4), pages 437-50.
  8. Crego, Al & Larson, Donald & Butzer, Rita & Mundlak, Yair, 1998. "A new database on investment and capital for agriculture and manufacturing," Policy Research Working Paper Series 2013, The World Bank.
  9. Pritchett, Lant, 1996. "Where has all the education gone?," Policy Research Working Paper Series 1581, The World Bank.
  10. Nehru, Vikram & Swanson, Eric & Dubey, Ashutosh, 1993. "A new database on human capital stock : sources, methodology and results," Policy Research Working Paper Series 1124, The World Bank.
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 in new window

Cited by:
  1. Martin, Will & Mitra, Devashish, 1999. "Productivity growth and convergence in agriculture and manufacturing," Policy Research Working Paper Series 2171, The World Bank.
  2. Andersen, Matthew A. & Alston, Julian M. & Pardey, Philip G., 2007. "Capital Use Intensity and Productivity Biases," Staff Papers 7314, University of Minnesota, Department of Applied Economics.
  3. Eberhardt, Markus & Teal, Francis, 2009. "A Common Factor Approach to Spatial Heterogeneity in Agricultural Productivity Analysis," MPRA Paper 15810, University Library of Munich, Germany.
  4. Chan-Kang, Connie & Pardey, Philip G. & Wood, Stanley & Roseboom, Johannes & Cremers, Marleen, 1999. "Reassessing Productivity Growth In African Agriculture," 1999 Annual meeting, August 8-11, Nashville, TN 21600, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  5. Wiebe, Keith D., 2003. "Linking Land Quality, Agricultural Productivity, And Food Security," Agricultural Economics Reports 34073, United States Department of Agriculture, Economic Research Service.
  6. Ekbom, Anders & Sterner, Thomas, 2008. "Production Function Analysis of Soil Properties and Soil Conservation Investments in Tropical Agriculture," Discussion Papers dp-08-20-efd, Resources For the Future.
  7. Chemingui, Mohamed Abdelbasset, 2007. "Public spending and poverty reduction in an oil-based economy: The case of Yemen," IFPRI discussion papers 701, International Food Policy Research Institute (IFPRI).
  8. Nkamleu, Guy Blaise, 2007. "Religious faith and agricultural growth: exploring some correlations in Africa," MPRA Paper 11131, University Library of Munich, Germany, revised 2007.
  9. Allen, Summer L. & Badiane, Ousmane & Ulimwengu, John M., 2012. "Government Expenditures, Social Outcomes, and Marginal Productivity of Agricultural Inputs: A Case Study for Tanzania," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126663, International Association of Agricultural Economists.
  10. Allcott, Hunt & Lederman, Daniel & Lopez, Ramon, 2006. "Political institutions, inequality, and agricultural growth : the public expenditure connection," Policy Research Working Paper Series 3902, The World Bank.
  11. Shaik, Saleem, 2011. "Does accounting for inefficiency affect the time-varying short and long-run returns to scale?," IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth 11, Leib­niz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
  12. Asfaha, T.A. & Jooste, Andre, 2006. "The agricultural input elasticity of rural-urban migration in South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(1), March.
  13. Crego, Al & Larson, Donald & Butzer, Rita & Mundlak, Yair, 1998. "A new database on investment and capital for agriculture and manufacturing," Policy Research Working Paper Series 2013, The World Bank.
  14. Neumann, Kathleen & Verburg, Peter H. & Stehfest, Elke & Müller, Christoph, 2010. "The yield gap of global grain production: A spatial analysis," Agricultural Systems, Elsevier, vol. 103(5), pages 316-326, June.
  15. Alston, Julian M. & Andersen, Matthew A. & Pardey, Philip G., 2006. "Asset Utilization and Bias in Measures of U.S. Agricultural Productivity," 2006 Annual meeting, July 23-26, Long Beach, CA 21220, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  16. Arnade, Carlos A. & Kelch, David R. & Leetmaa, Susan E., 2002. "Supply Response In France, Germany, And The Uk: Technology And Price," 2002 Annual meeting, July 28-31, Long Beach, CA 19702, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:wbk:wbrwps:1827. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Roula I. Yazigi).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.