tailieunhanh - Livelihood strategies for coping with land loss among households in Vietnam's Sub-Urban Areas
This paper is structured as follows: the next section describes the background of the case study. Data and methods are discussed in Section 3. Results are presented in Section 4, followed by discussion and policy implications in Section 5. | Asian Social Science; Vol. 9, No. 15; 2013 ISSN 1911-2017 E-ISSN 1911-2025 Published by Canadian Center of Science and Education Livelihood Strategies for Coping with Land Loss among Households in Vietnam's Sub-Urban Areas Tran Quang Tuyen1 1 VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam Correspondence: Tran Quang Tuyen, VNU University of Economics and Business, Vietnam National University, Hanoi, Room 100, Building E4, 144 Xuan Thuy Street, Cau Giay District, Hanoi, Vietnam. Tel: 84-9-1247-4896. E-mail: tuyentq@ Received: July 4, 2013 doi: Accepted: August 7, 2013 Online Published: October 29, 2013 URL: Abstract Using a novel data set from my household survey in a sub-urban district of Hanoi, Vietnam, this study is the first attempt using an econometric approach to investigate the relationship between farmland loss (due to urbanization and industrialization) and households’ livelihood strategies. The results from the multinomial logit model provide the first econometric evidence that land loss increases with the probability of households adopting a strategy specializing in a single nonfarm activity (informal paid jobs or household businesses) or diversifying in many activities. This suggests that many households have actively coped with the shock of losing land. Such adaptation strategies in the new context can help mitigate their dependence on farmland as well as might help improve their welfare. Therefore, a possible implication here is that the rising of land loss should not be seen as an absolutely negative phenomenon because it can improve household welfare by motivating households to change or diversify their livelihoods. Besides, some household asset-related variables such as education, farmland, and the prime location of houses were found to be closely associated with participation in nonfarm activities. Based on evidence from the econometric .
đang nạp các trang xem trước
