Next Article in Journal
Residential Mobility and Post-Move Community Satisfaction: Empirical Evidence from Guangzhou, China
Previous Article in Journal
Landscape Ecological Risk Assessment under Multiple Indicators
Article

Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages

1
Department of Geography, University of Alabama, Tuscaloosa, AL 35487, USA
2
Department of Geography and the Environment, University of North Texas, Denton, TX 76203, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Carlos Parra-López
Land 2021, 10(7), 740; https://doi.org/10.3390/land10070740
Received: 17 June 2021 / Revised: 12 July 2021 / Accepted: 13 July 2021 / Published: 15 July 2021
Agricultural support programs distribute payments to farms based on a diverse set of policy objectives. Adequate targeting of this support to priority areas is key to efficient and effective policy. We evaluated the targeting strategy of a national-level program in Mexico that distributed support based on seven criteria that prioritized poor smallholder farming communities at high risk of cropland failure. We used a series of logistic models to assess the coverage and leakage rates of the program’s targeting strategy and found rates of about 80 and 20 percent, respectively. We also found significant differences between the targeting priorities specified in program rules and the observed distribution of support measures. In general, the program favored arid and semi-arid regions at high risk of soil erosion but neglected smallholder farms in high-poverty regions with elevated rates of cropland failure. Our findings highlight the continued lack of financial support for smallholder agriculture in Mexico, despite program rules and priority statements that stress the vulnerability of this sector. This study also illustrates the important role of spatial targeting in better aligning agricultural support payments with stated policy priorities. This alignment is often overlooked in ex-post assessment, but it is critical for improving targeting precision, equity, and overall policy effectiveness. View Full-Text
Keywords: agri-environmental policy; smallholder; poverty; climate; targeted support agri-environmental policy; smallholder; poverty; climate; targeted support
Show Figures

Figure 1

MDPI and ACS Style

LaFevor, M.C.; Ponette-González, A.G.; Larson, R.; Mungai, L.M. Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages. Land 2021, 10, 740. https://doi.org/10.3390/land10070740

AMA Style

LaFevor MC, Ponette-González AG, Larson R, Mungai LM. Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages. Land. 2021; 10(7):740. https://doi.org/10.3390/land10070740

Chicago/Turabian Style

LaFevor, Matthew C., Alexandra G. Ponette-González, Rebecca Larson, and Leah M. Mungai 2021. "Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages" Land 10, no. 7: 740. https://doi.org/10.3390/land10070740

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop