Add wos sample results library

2023-09-28 16:46:10 +02:00 · 2023-09-28 16:46:10 +02:00 · 19e409ad85
commit 19e409ad85
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--- a/02-data/intermediate/wos_sample/b44c1faac7bedf814b0e70e8a97bb9f3-li-li-and-tsunekawa/info.yaml
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+abstract: 'Purpose The purpose of this paper is to examine the factors (including
+
+  conservation payments) that influence household decisions to participate
+
+  in off-farm work and estimate the impact of participation on household
+
+  welfare under the auspices of the Grain for Green (GfG) program.
+
+  Design/methodology/approach The authors used survey data from 225 farm
+
+  households on the Loess Plateau and addressed the possible sample
+
+  selection and endogeneity problems by employing a jointly estimated
+
+  endogenous switching regression (ESR) model. Findings The findings of
+
+  this paper are as follows: off-farm participation is positively related
+
+  to households'' educational attainment and negatively related to their
+
+  land resource endowment and the presence of children; participation in
+
+  off-farm work exerts positive effects on household income and per capita
+
+  household income, but negative effects on farm productivity; and
+
+  conservation payments show no significant impact on off-farm
+
+  participation, no significant impact on any of the three household
+
+  welfare indicators for off-farm non-participant households, but a
+
+  significantly negative impact for off-farm participant households.
+
+  Originality/value This paper makes two contributions. First, the authors
+
+  address the selection bias and endogeneity problem of GfG participating
+
+  households by employing the ESR method and explicitly estimating the
+
+  treatment effects of off-farm participation on their household welfare.
+
+  Neglecting these problems leads to biased estimates and misleading
+
+  policy implications. Second, this analysis stresses the important role
+
+  of government in reducing market or institutional failure and other
+
+  barriers that impede farmers'' efficient allocation choices instead of
+
+  compensating households for conserving sloping land, shedding new light
+
+  on the most effective policy options to achieve the program''s goals.'
+affiliation: 'Li, L (Corresponding Author), Peking Univ, Sch Urban Planning \& Design,
+  Shenzhen Grad Sch, Shenzhen, Peoples R China.
+
+  Li, Li; MacLachlan, Ian; Li, Guicai; Guo, Yuanyuan, Peking Univ, Sch Urban Planning
+  \& Design, Shenzhen Grad Sch, Shenzhen, Peoples R China.
+
+  Tsunekawa, Atsushi, Tottori Univ, Arid Land Res Ctr, Tottori, Japan.
+
+  Koike, Atsushi, Kobe Univ, Dept Reg Planning, Kobe, Hyogo, Japan.'
+author: Li, Li and Tsunekawa, Atsushi and MacLachlan, Ian and Li, Guicai and Koike,
+  Atsushi and Guo, Yuanyuan
+author-email: 920421363@qq.com
+author_list:
+- family: Li
+  given: Li
+- family: Tsunekawa
+  given: Atsushi
+- family: MacLachlan
+  given: Ian
+- family: Li
+  given: Guicai
+- family: Koike
+  given: Atsushi
+- family: Guo
+  given: Yuanyuan
+da: '2023-09-28'
+doi: 10.1108/CAER-06-2018-0124
+eissn: 1756-1388
+files: []
+issn: 1756-137X
+journal: CHINA AGRICULTURAL ECONOMIC REVIEW
+keywords: 'Off-farm employment; Grain for Green; Simultaneous equations;
+
+  Conservation payments; Endogenous switching regression'
+keywords-plus: 'LAND CONVERSION PROGRAM; RURAL NONFARM ACTIVITIES; AGRICULTURAL
+
+  PRODUCTIVITY; IMPACT; MIGRATION; INCOME; MARKET; CONSTRAINTS; DECISION;
+
+  POVERTY'
+language: English
+number: '1'
+number-of-cited-references: '59'
+orcid-numbers: 'MacLachlan, Ian/0000-0002-8584-4063
+
+  Tsunekawa, Atsushi/0000-0002-7690-0633
+
+  li, li/0000-0002-5976-8474'
+pages: 71-89
+papis_id: 91ae38513a02905bd54c4d9678b375f5
+ref: Li2020conservationpayments
+researcherid-numbers: 'MacLachlan, Ian/J-1839-2012
+
+  Tsunekawa, Atsushi/L-8526-2013
+
+  '
+times-cited: '3'
+title: Conservation payments, off-farm employment and household welfare for farmers
+  participating in the ``Grain for Green″ program in China Empirical evidence from
+  the Loess Plateau
+type: Article
+unique-id: WOS:000506407500001
+usage-count-last-180-days: '10'
+usage-count-since-2013: '36'
+volume: '12'
+web-of-science-categories: Agricultural Economics \& Policy; Economics
+year: '2020'