About this Research Topic
In order to enhance land-use governance, it is necessary to look at the efficiency of individual farms’ inputs and outputs, as well as including an analysis of the broader impacts of the societal and environmental efficiencies. Spatial characteristics, both observed and unobserved, that are associated with land use and land-use change, production and/or efficiency spillovers should also be incorporated into this efficiency analysis to appraise the adequacy of multi-level governance. However, spatial farm analysis has in the past widely neglected the fact that there may be unobserved spatial heterogeneity in environmental spillovers and efficiency itself. Not accounting for such spatial heterogeneities may lead to biased results and can mislead researchers in their recommendations to policymakers, extension agents, farmers, and land managers. There are a variety of approaches and techniques that can be used to incorporate spatial dependency, spillovers into land use, land-use change, farm production, and efficiency analysis.
There are a number of goals for this Research Topic:
1) Contribute to the efficiency literature in identifying different ways to account for unobserved spatial heterogeneity including location and social interaction in efficiency modeling;
2) Provide practitioners with a set of appropriate tools and approaches to incorporate spatial analysis and/or spillover effects into land use, land-use change, farm production, and efficiency;
3) Help practitioners provide sound recommendations for better land-use governance to stakeholders.
We encourage the submission of articles that show novel ways in which spatial dependency and environmental and social spillovers can be incorporated into agricultural land use and land-use change, production, and efficiency analysis. We are also interested in articles that provide insights into the various methodological approaches which can be used to incorporate unobserved spatial heterogeneity and social/environmental spillover effects to better apprise multi-level governance of land use (e.g. municipality, district, county, regional, household, farmers). An understanding of what these different approaches can provide in terms of recommendations to stakeholders is key to achieving sustainable production. Hence, we would like to have an overview of these novel approaches and techniques in incorporating spatial dependency, spillovers in land use, land-use change, farm production, and efficiency analyses in this collection.
Keywords: Stochastic frontier analysis, data envelopment analysis, Spatial Weight Matrix, spatial dependence, unobserved spatial heterogeneity
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