Modeling Field-Level Conservation Tillage Adoption with Aggregate Choice Data

Tara Wade; Lyubov Kurkalova; Silvia Secchi

Back

Modeling Field-Level Conservation Tillage Adoption with Aggregate Choice Data

Journal article

Open access

Peer reviewed

Modeling Field-Level Conservation Tillage Adoption with Aggregate Choice Data

Tara Wade, Lyubov Kurkalova and Silvia Secchi

Journal of Agricultural and Resource Economics, Vol.41(2), pp.266-285

05/01/2016

Files and links (1)

url

https://jareonline.org/articles/modeling-field-level-conservation-tillage-adoption-with-aggregate-choice-data/View

Published (Version of record) Open Access

Abstract

This empirical study of conservation tillage adoption relies on the logit model applied to fieldlevel information on agents' attributes and county-aggregated measures of agents' choices. The methodology treats the aggregated data as an expected value--the area-weighted group average of individual probabilities of choosing conservation tillage--subject to a measurement error. Using 2002 and 2004 data for Iowa, we estimate field-level costs of the adoption of conservation tillage. The results indicate that adoption is significantly affected by soil characteristics and crop rotation and highlight the heterogeneity in adoption costs when controlling for these characteristics.

Agricultural Policy, Food Policy (Q18)

Soils

Fiscal Policies and Behavior of Economic Agents: Firm (H32)

Northern America

Renewable Resources and Conservation: Land (Q24)

Tillage

Conservation

Business Taxes and Subsidies including sales and value-added (VAT) (H25)

Land Use Patterns (R14)

Land Ownership and Tenure, Land Reform, Land Use, Irrigation, Agriculture and Environment (Q15)

U.S

Details

Title: Subtitle: Modeling Field-Level Conservation Tillage Adoption with Aggregate Choice Data
Creators: Tara Wade
Lyubov Kurkalova
Silvia Secchi - University of Iowa, Geographical and Sustainability Sciences
Resource Type: Journal article
Publication Details: Journal of Agricultural and Resource Economics, Vol.41(2), pp.266-285
ISSN: 1068-5502
eISSN: 2327-8285
Language: English
Date published: 05/01/2016
Academic Unit: Geographical and Sustainability Sciences; University College Courses; Public Policy Center (Archive)
Record Identifier: 9983917598402771

Metrics

30 Record Views