Nonlinear influence of construction land on poverty reduction efficiency in Chinese poor counties: new evidence using a panel threshold model

被引:1
|
作者
Wang, Shanping [1 ]
Cao, Peng [2 ]
Ouyang, Xiao [3 ]
机构
[1] Hunan Normal Univ, Business Sch, Changsha 410081, Peoples R China
[2] Hunan Normal Univ, Sch Math & Stat, Changsha 410081, Peoples R China
[3] Hunan Univ Finance & Econ, Hunan Inst Econ Geog, Changsha 410205, Peoples R China
基金
美国国家科学基金会;
关键词
Poverty reduction efficiency; Construction land; Advancement of industry structure; Threshold effect; RURAL POVERTY; ALLEVIATION PROJECTS; RAPID URBANIZATION; INCOME; LIVELIHOOD; CONVERSION; GROWTH; INEQUALITY; DYNAMICS; URBAN;
D O I
10.1007/s10668-022-02848-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The utilization of rural construction land in Chinese poor counties, which is mainly used for urbanization development, construction for farmers' new housing, infrastructure development (transportation, water conservancy), industrial project, and tourist attraction development, is vital to poverty reduction efficiency (PRE), which could promote economic growth and control the urban sprawl of poor counties. In this paper, we investigated the dynamic influence mechanism of rural construction land (LAND) on poverty reduction efficiency by the panel threshold model based on the evidence from 832 poor counties in China from 2010 to 2017. The results show that construction land contributes positively to the increase in poverty reduction efficiency. Still, this effect is affected by the different development levels of advancement of industry structure (CSA). When CSA exceeds the threshold value, the LAND will promote the PRE. Otherwise, it will have an inhibitory effect. Regional heterogeneity suggests that the increase of LAND is conducive to improving PRE in the eastern region. The impact effect continues to increase after crossing the threshold variable value. However, the LAND has an inhibitory effect on PRE when the CSA is lower than the first threshold variable in the central and western region. When the CSA exceeds its first threshold value, it indicates a positive impact. Especially for the central region, the driving effect of LAND on PRE is also strengthened when the CSA exceeds its second threshold value. This research demonstrates the nonlinear impact of LAND on PRE, which is helpful for both theoretical and practical research into the impact of land-related policies on reducing poverty.
引用
收藏
页码:3557 / 3587
页数:31
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  • [2] The impact of land finance on urban land use efficiency: A panel threshold model for Chinese provinces
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    Shao, Zinan
    Wang, Jian
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  • [3] Evaluating the Impact of the Highway Infrastructure Construction and the Threshold Effect on Cultivated Land Use Efficiency: Evidence from Chinese Provincial Panel Data
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    Hou, Jiao
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    [J]. LAND, 2022, 11 (07)
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    Huo, Tengfei
    Cao, Ruijiao
    Du, Hongyan
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    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 772
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    Feng, Qiang
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 784
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    Yang, Haoran
    Zheng, Hao
    Liu, Hongguang
    Wu, Qun
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (10)
  • [7] Nonlinear impacts of CSR performance on firm risk: New evidence using a panel smooth threshold regression
    Rouine, Ibtissem
    Ammari, Aymen
    Bruna, Maria Giuseppina
    [J]. FINANCE RESEARCH LETTERS, 2022, 47
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    Gao, Shuning
    Jiang, Jikun
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    Aslam, Bilal
    Wang, Weihao
    [J]. ENERGY STRATEGY REVIEWS, 2024, 51
  • [9] Does intellectual capital influence banks' efficiency? Evidence from India using panel data tobit model
    Maji, Santi Gopal
    Saha, Rupjyoti
    [J]. MANAGERIAL FINANCE, 2024, 50 (04) : 697 - 717
  • [10] Nonlinear Influence of Chinese Real Estate Development on Environmental Pollution: New Evidence from Spatial Econometric Model
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    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (01)