Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18468
Title: Spatial Econometric Analysis: Potential Contribution to the Economic Analysis of Smallholder Development
Contributor(s): Villano, Renato (author)orcid ; Fleming, Euan (author); Moss, Jonathan (author)
Publication Date: 2016
DOI: 10.1007/978-3-319-27284-9_3
Handle Link: https://hdl.handle.net/1959.11/18468
Abstract: The stars appear to be aligned for a sustained effort to improve information to rural development policy makers about the impact space has on the opportunities for development of the ubiquitous smallholder households in rural areas of Southeast Asian countries. The influences of spatially heterogeneous resource constraints on farming activities, distance to markets and institutions, and spatial interaction among smallholders can now be better accounted for in modelling work as a result of improvements in analytical methodologies, the growing availability of so-called 'big data' and access to spatially defined information in panel data sets. The scope for taking advantage of these advances is demonstrated with two examples from a Southeast Asian country, the Philippines: spillovers and neighbourhood effects in impact studies and the development of sophisticated spatial stochastic frontier models to measure and decompose productivity growth on smallholdings.
Publication Type: Book Chapter
Source of Publication: Causal Inference in Econometrics, p. 29-55
Publisher: Springer
Place of Publication: Switzerland
ISBN: 9783319272832
9783319272849
Field of Research (FOR): 140202 Economic Development and Growth
140201 Agricultural Economics
140302 Econometric and Statistical Methods
HERDC Category Description: B1 Chapter in a Scholarly Book
Series Name: Studies in Computational Intelligence
Series Number : 622
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Appears in Collections:Book Chapter
UNE Business School

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