389
Views
1
CrossRef citations to date
0
Altmetric
Articles

Examining natural resource management through a community development theoretical lens

&
Pages 130-149 | Received 08 Apr 2020, Accepted 15 Jun 2021, Published online: 26 Jul 2021
 

ABSTRACT

The United States Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) is a government agency that seeks to integrate conservation goals with farmers' economic goals through voluntary private efforts, particularly through its Conservation Technical Assistance (CTA) program. Researchers note a lack of theoretical grounding in the associated body of literature. Therefore, a comprehensive theory of change was developed to guide a study of farmer adoption of conservation practices. The theoretical model incorporates factors from the Asset-Based Community Development (ABCD) approach and Community Capitals Framework (CCF). The purpose of this paper is to explain this theoretical model and discuss how it better conceptualized and operationalized variables that influence farmer conservation practice adoption. Because later empirical findings largely supported the anticipated causal hypotheses, the use of community development theory to understand other public programs that seek to achieve policy goals through voluntary, co-productive change on the part of participants is reasonable. 

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 162.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.