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Does neighborhood matter? Spatial proximity and farmers' technical efficiency

Tafesse Tirkaso, Wondmagegn and Hailu, Atakelty (2022). Does neighborhood matter? Spatial proximity and farmers' technical efficiency. Agricultural Economics. 53 :3 , 374-386
[Research article]

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Abstract

This article examines the effects of neighborhood on the farmer's technical efficiency (TE) level, adopting a stochastic frontier and spatial Durbin regression models. Our study exploits a three-wave household-level panel data from the Ethiopian Rural Socioeconomic Survey (ERSS) collected between 2011 and 2015. We find that farmers have an average TE score of 53%, implying a substantial potential for improvement in the production level. We further find that there is a positive and statistically significant spatial interdependence in TE levels between farms in neighboring communities. Input use, education, and other demographic characteristics are found to have significant positive direct and indirect effects. The findings suggest that policies and programs targeting productivity improvements in agriculture need to consider spatial spillover effects.

Authors/Creators:Tafesse Tirkaso, Wondmagegn and Hailu, Atakelty
Title:Does neighborhood matter? Spatial proximity and farmers' technical efficiency
Series Name/Journal:Agricultural Economics
Year of publishing :2022
Volume:53
Number:3
Page range:374-386
Number of Pages:13
Publisher:WILEY
ISSN:0169-5150
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution-Noncommercial 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 5 Social Sciences > 502 Economics and Business > Economics
Keywords:Ethiopia, neighborhood effect, panel data, spatial Durbin model, technical efficiency
URN:NBN:urn:nbn:se:slu:epsilon-p-116092
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-116092
Additional ID:
Type of IDID
DOI10.1111/agec.12702
Web of Science (WoS)000749752700001
Scopus2-s2.0-85123979830
ID Code:28118
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Economics
Deposited By: SLUpub Connector
Deposited On:30 May 2022 09:10
Metadata Last Modified:30 May 2022 09:11

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