Characterizing Agricultural Diversity with Policy-Relevant Farm Typologies in Mexico

Matthew C. LaFevor ()
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Matthew C. LaFevor: Department of Geography, The University of Alabama, Tuscaloosa, AL 35487, USA

Agriculture, 2022, vol. 12, issue 9, 1-19

Abstract: The effective targeting of agricultural policy interventions across heterogenous agricultural landscapes requires an integrated understanding of farm diversity. One pathway to this understanding is through farm typologies—classification systems that synthesize farm complexity into a limited number of ‘types’. Farm typologies are typically constructed at local or regional levels and seldom demonstrate policy relevance through example. This study has two objectives: (1) to construct a policy-relevant farm typology that characterizes agricultural diversity in Mexico, and (2) to demonstrate, through case study example, how the typology could be used to target policy interventions. Hierarchical agglomerative cluster (HAC) analysis is used to group municipalities (n = 2455) based on farm characteristics (n = 10) and cropping patterns (n = 10). Two clustering solutions were chosen based on statistical goodness-of-fit measures and topical relevance. The first set of clusters (Typology A) grouped municipalities into one of three types: (A1) southern lowland farms, (A2) northern midland farms, and (A3) southern-central highland farms. The second (Typology B) grouped municipalities into 12 sub-types illustrating lower-order distinctions. Each typology was described, validated, and mapped at the national level. The typologies were then used to illustrate the targeting soil erosion interventions across Mexico. Here, multiple correspondence analysis (MCA) was used to examine relationships between the typologies and two priority targeting criteria. Farms of the southern lowland region (Type A1) and two of its subtypes (B1 and B12) were identified as priority areas for interventions. In sum, this study: (1) creates a series of new, typology-based conceptualizations of regional agricultural diversity in Mexico, and (2) demonstrates how such typologies can serve as actionable tools for agricultural policy.

Keywords: agrodiversity; farm characteristics; hierarchical agglomerative clustering; interventions; multiple correspondence analysis; Mexico; spatial targeting (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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