How infrastructure and financial institutions affect agricultural output and investment in India
AbstractHow do the decisions of farmers, financial institutions, and government agencies interact and affect agricultural investment and output in a region - and to what extent are these"actors"influenced by a region's location and agroclimactic endowments (for example, rainfall or the soil's moisture-holding capacity). This paper presents an attempt to quantify the relationships between key factors, using district level time-series data from India.
Download InfoIf 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Development Economics.
Volume (Year): 41 (1993)
Issue (Month): 2 (August)
Contact details of provider:
Web page: http://www.elsevier.com/locate/devec
Other versions of this item:
- Binswanger, Hans P. & Khandker, Shahidur R & Rosenzweig, Mark R., 1989. "How infrastructure and financial institutions affect agricultural output and investment in India," Policy Research Working Paper Series 163, The World Bank.
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
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.:
- Binswanger, Hans & Yang, Maw-Cheng & Bowers, Alan & Mundlak, Yair, 1987. "On the determinants of cross-country aggregate agricultural supply," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 111-131.
- Lau, Lawrence J. & Yotopoulos, Pan A., 1989. "The meta-production function approach to technological change in world agriculture," Journal of Development Economics, Elsevier, vol. 31(2), pages 241-269, October.
- Binswanger, Hans P, 1974.
"The Measurement of Technical Change Biases with Many Factors of Production,"
American Economic Review,
American Economic Association, vol. 64(6), pages 964-76, December.
- Binswanger, Hans P., 1973. "The Measurement Of Technical Change Biases With Many Factors Of Production," Staff Papers 14205, University of Minnesota, Department of Applied Economics.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Zhang, Lei).
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.