2016
DOI: 10.1016/j.jrurstud.2016.05.015
|View full text |Cite
|
Sign up to set email alerts
|

Factors influencing the efficiency of rural public goods investments in mountainous areas of China —— Based on micro panel data from three periods

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
14
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 31 publications
(16 citation statements)
references
References 19 publications
2
14
0
Order By: Relevance
“…Mountainous areas are often in poor natural and geographical conditions, which will result in high transportation costs and greater difficulties for workers to collect RSW. This is in line with the findings of He et al [29], who found that the relationship between natural terrain and public goods provision efficiency is negative.…”
Section: Probit Regression Resultssupporting
confidence: 93%
“…Mountainous areas are often in poor natural and geographical conditions, which will result in high transportation costs and greater difficulties for workers to collect RSW. This is in line with the findings of He et al [29], who found that the relationship between natural terrain and public goods provision efficiency is negative.…”
Section: Probit Regression Resultssupporting
confidence: 93%
“…Besides, this paper also discusses the relationship between the social network structural features and employment quality. A large and growing evidence emphasized the positive role of friends and relatives in helping people to find work [62][63][64][65][66][67][68][69][70][71][72][73][74][75][76]. Different from these similar studies, in this study, it is found that only the relative network of part-time farmers has significant positive impacts on their non-agricultural employment quality, while the network of friends, institutions, and enterprises has no significant effect.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, in each sample village, 20 households were randomly selected according to a roster, with reference to the random number chart. According to the above process, a total of 400 households and 20 villages were selected [64]. Since this study explores the impact of social networks on the employment quality of part-time farmers, this study only selects individual farmers with multiple occupations behavior as samples.…”
Section: Source Of Datamentioning
confidence: 99%
“…With the strong support of the Chinese government, the burden of public investment at the village level has been decreasing steadily. Of China's rural public goods investment projects, 37.5% were provided by villages themselves between 2000 and 2003; this figure dropped to 33.88% between 2004 and 2007 and then declined to 20.44% between 2008 and 2011 [19]. However, the village collective is still an important provider of rural public goods.…”
Section: Introductionmentioning
confidence: 99%