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Cited by 355

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Virginia Farmers' Soil Conservation Decisions: An Application of Tobit Analysis

Open access
Norris, Patricia E., Batie, Sandra S.·1987·Journal of Agricultural and Applied Economics

Abstract

Using data from a survey of farm operators in two Virginia counties, the authors analyze farmers' soil conservation decisions. Results indicate that financial factors, including income and debt, are the most important influences on the sample farmers' use of conservation practices. Additional factors such as perception of erosion, education level, off-farm employment, and tenancy also influence conservation expenditures. Factors influencing conservation tillage acreage differ from those influencing expenditures for other conservation practices. In particular, age and race of the operator and on-farm erosion potential are significantly related to the use of conservation tillage but not other practices. These results are discussed in terms of their implications for conservation programs.

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Crossref · 10.1017/s0081305200017404

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Metadata

Authors
Norris, P. E., & Batie, S. S.
Venue
Journal of Agricultural and Applied Economics
Published
1987-07
Volume
19
Issue
1
Pages
79-90
ISSN
  • 0081-3052 (ISSN-L)
  • 1074-0708
  • 2056-7405
OpenAlex
W1595151882
Cited by
355
References
2
FWCI
11.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Virginia Farmers' Soil Conservation Decisions: An Application of Tobit Analysis. https://app.cochat.ai/papers/10.1017/s0081305200017404
The paper
Norris, P. E., & Batie, S. S. (1987). Virginia Farmers' Soil Conservation Decisions: An Application of Tobit Analysis. Journal of Agricultural and Applied Economics. https://doi.org/10.1017/s0081305200017404

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.