Details
Titel in Übersetzung | Spatial Patterns of Private Sector and Public Sector Non-Agricultural Jobs in Rural Northeast Thailand |
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Originalsprache | Chinesisch |
Seiten (von - bis) | 710-726 |
Seitenumfang | 17 |
Fachzeitschrift | Regional studies |
Jahrgang | 48 |
Ausgabenummer | 4 |
Publikationsstatus | Veröffentlicht - Apr. 2014 |
Extern publiziert | Ja |
Abstract
Regional Studies. Published evidence from developing countries shows that in rural areas participation in non-agricultural wage-employment rises with proximity to urban centres, while earnings do not. This paper explores the reasons for this phenomenon, analysing the job characteristics of rural workers in detail. The data set consists of 900 jobs. The results show that public jobs are over-represented in rural-remote regions, driving up the mean wage of this type of region. When considering private sector employment only, spatial wage and income differentials do exist, showing that workers in remote areas are economically more disadvantaged than workers in peri-urban areas.
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in: Regional studies, Jahrgang 48, Nr. 4, 04.2014, S. 710-726.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
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TY - JOUR
T1 - La distribution géographique des emplois non agricoles dans les secteurs publique et privé dans le nord-est de la Thaïlande rurale
AU - Lohmann, Carsten
AU - Liefner, Ingo
N1 - Funding Information: This paper uses primary survey data acquired in an interdisciplinary research project on vulnerability to poverty in rural areas in Thailand and Vietnam funded by the German Research Foundation (DFG). The Thai survey included 222 villages in three provinces of Northeast Thailand, covering a representative data set of 2186 households selected through a multistage cluster random sampling process. The refusal rates were 18% in Ubon Ratchathani, 22% in Nakhon Phanom and 27% in Buriram. The households that refused were replaced by randomly selected replacement households. The enumeration was conducted by students from Kasetsart University, Bangkok, between 19 April and 30 May 2007 (HARDEWEG et al., 2007; LOHMANN, 2009, pp. 100–102). Corresponding data from Vietnam have not been included in the analysis for this paper. Acknowledgements – The authors are indebted to the German Research Foundation (DFG) for funding the underlying research within the Research Unit FOR 756 Vulnerability in Southeast Asia. They also wish to thank Hermann Waibel and his team from the Institute of Development and Agricultural Economics, University of Hannover, for organizing the household survey; as well as Gerrit Eichner from the Department of Mathematics, University of Giessen, for helpful comments on the regression models. The authors also thank all anonymous reviewers for their helpful comments on previous versions of this paper.
PY - 2014/4
Y1 - 2014/4
N2 - Regional Studies. Published evidence from developing countries shows that in rural areas participation in non-agricultural wage-employment rises with proximity to urban centres, while earnings do not. This paper explores the reasons for this phenomenon, analysing the job characteristics of rural workers in detail. The data set consists of 900 jobs. The results show that public jobs are over-represented in rural-remote regions, driving up the mean wage of this type of region. When considering private sector employment only, spatial wage and income differentials do exist, showing that workers in remote areas are economically more disadvantaged than workers in peri-urban areas.
AB - Regional Studies. Published evidence from developing countries shows that in rural areas participation in non-agricultural wage-employment rises with proximity to urban centres, while earnings do not. This paper explores the reasons for this phenomenon, analysing the job characteristics of rural workers in detail. The data set consists of 900 jobs. The results show that public jobs are over-represented in rural-remote regions, driving up the mean wage of this type of region. When considering private sector employment only, spatial wage and income differentials do exist, showing that workers in remote areas are economically more disadvantaged than workers in peri-urban areas.
KW - Poverty reduction
KW - Rural non-agricultural employment
KW - Spatial earning differentials
KW - Thailand
KW - Urban proximity
UR - http://www.scopus.com/inward/record.url?scp=84927802568&partnerID=8YFLogxK
U2 - 10.1080/00343404.2012.663481
DO - 10.1080/00343404.2012.663481
M3 - Article
AN - SCOPUS:84927802568
VL - 48
SP - 710
EP - 726
JO - Regional studies
JF - Regional studies
SN - 0034-3404
IS - 4
ER -