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)orcid 
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: Cham, Switzerland
ISBN: 9783319272832
9783319272849
Fields of Research (FoR) 2008: 140202 Economic Development and Growth
140201 Agricultural Economics
140302 Econometric and Statistical Methods
Fields of Research (FoR) 2020: 380101 Agricultural economics
380202 Econometric and statistical methods
Socio-Economic Objective (SEO) 2008: 910299 Microeconomics not elsewhere classified
910210 Production
910404 Productivity (excl. Public Sector)
Socio-Economic Objective (SEO) 2020: 150304 Productivity (excl. public sector)
150510 Production
HERDC Category Description: B1 Chapter in a Scholarly Book
Series Name: Studies in Computational Intelligence
Series Number : 622
Editor: Editor(s): Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta
Appears in Collections:Book Chapter
UNE Business School

Files in This Item:
4 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

3
checked on Feb 24, 2024

Page view(s)

2,480
checked on Nov 5, 2023
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.