| Literature DB >> 35162139 |
Rui Min1, Hongxin Yang1, Xu Mo1, Yanbin Qi1, Dingde Xu2, Xin Deng1.
Abstract
At present, the world's countryside needs to be revitalized urgently, and cultivated land is the critical factor in promoting the countryside's revitalization. The reduction of uncultivated land contributes to the efficient use of rural land resources, contributing to global rural revitalization. This study uses data from 3938 Chinese peasant households conducted in 2014 and the OLS method to investigate the quantitative impact of institutional social insurance on cultivated land abandonment. The empirical results point to the following conclusions: (1) Institutional social insurance will weaken the social insurance function of land, which will lead to the generation of peasant households' cultivated land abandonment. More specifically, for every 1% increase in the level of institutional social insurance of peasant households, the area of cultivated land abandoned increased by 0.002 mu; (2) The influence of institutional social insurance on peasant households' cultivated land abandonment is heterogeneous, that is, endowment insurance can weaken the social insurance function of land more than medical insurance, and households with a higher proportion of pensioners are more likely to abandon cultivated land. This study's conclusions may help understand the relationship between institutional and non-institutional social insurance and provide a reference for the effective use of cultivated land resources in the global rural revitalization.Entities:
Keywords: cultivated land abandonment; farmer; institutional social insurance; land social insurance function; rural China
Mesh:
Year: 2022 PMID: 35162139 PMCID: PMC8834080 DOI: 10.3390/ijerph19031117
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Definition and statistical results.
| Variables | Definition | Mean | S.D. |
|---|---|---|---|
| Abandonment area | Area of family abandoned cultivated land (MU) | 0.34 | 1.76 |
| Social insurance | Proportion of family members with medical or endowment insurance in the total number (%) | 32.26 | 22.76 |
| Medical insurance | Proportion of family members with medical insurance in the total number (%) | 31.36 | 22.82 |
| Endowment insurance | Proportion of family members with endowment insurance in the total number (%) | 16.88 | 21.33 |
| Head age | Age of head of household (year) | 52.10 | 11.00 |
| Head education | 1 if the household head has a high schooldiploma or above; 0 otherwise | 0.11 | 0.32 |
| Farm income | Proportion of agricultural income in total farm income (%) | 38.59 | 41.54 |
| Land size | Total cultivated land area (MU) | 7.88 | 10.15 |
| Family education | Proportion of members with high school education or above in the total number (%) | 14.22 | 19.80 |
| Family health | Proportion of healthy family members in the total number (%) | 88.03 | 20.04 |
| Older | 1 if the elderly in the family are engaged in agricultural production;0 otherwise | 0.11 | 0.32 |
| Farm successor | 1 if young people in the family are engaged in agricultural production;0 otherwise | 0.09 | 0.29 |
| Fixed assets | Present value of household fixed assets (10,000 yuan) | 3.75 | 13.68 |
| Agricultural assets | Present value of household agricultural assets (10,000 yuan) | 0.09 | 0.68 |
| Land registration | 1 if the family owns a land registration certificate;0 otherwise | 0.44 | 0.50 |
| Land Quality | 1 if the average level of family cultivated land quality is low;0 otherwise | 0.03 | 0.18 |
| Land irrigation | 1 if Cultivated land has irrigation facilities; 0 otherwise | 0.43 | 0.49 |
| Urbanization | Proportion of urban population in the total population in the same sample County (%) | 10.14 | 19.49 |
| Population density | Density of village population (num/km2) | 134.49 | 124.04 |
| Distance | Minimum distance from the village to business center (km) | 6.76 | 8.45 |
| Plain | 1 if the village is located on the plain; 0 otherwise | 0.41 | 0.49 |
| Hill | 1 if the village is located in the hills; 0 otherwise | 0.32 | 0.47 |
| Mountain | 1 if the village is located in the mountain; 0 otherwise | 0.27 | 0.44 |
The estimates of impacts of institutional social insurance on cultivated land abandonment.
| Model (1) | Model (2) | Model (3) | |
|---|---|---|---|
| Social insurance | 0.002 * | 0.002 * | 0.009 ** |
| (1.701) | (1.738) | (2.168) | |
| Head age | 0.011 | 0.014 | 0.009 |
| (1.057) | (1.301) | (0.857) | |
| Head age2 | −0.000 | −0.000 | −0.000 |
| (−1.346) | (−1.194) | (−0.744) | |
| Head education | 0.009 | 0.019 | 0.022 |
| (0.058) | (0.118) | (0.141) | |
| Farm income | −0.001 | −0.001 | −0.001 |
| (−1.499) | (−1.216) | (−1.603) | |
| Land size | 0.029 ** | 0.034 | 0.041 |
| (2.338) | (1.237) | (1.375) | |
| Family education | 0.001 | 0.000 | 0.000 |
| (0.604) | (0.201) | (0.255) | |
| Family health | −0.003 *** | −0.001 | −0.001 |
| (−2.615) | (−0.817) | (−0.687) | |
| older | −0.002 | −0.037 | −0.021 |
| (−0.016) | (−0.351) | (−0.202) | |
| Farm successor | 0.017 | −0.058 | −0.042 |
| (0.133) | (−0.442) | (−0.328) | |
| Ln(Fixed assets) | −0.052 ** | −0.042 * | −0.065 ** |
| (−2.217) | (−1.900) | (−2.504) | |
| Ln(Agricultural assets) | −0.231 *** | −0.268 ** | −0.332 *** |
| (−2.670) | (−2.528) | (−2.625) | |
| Land registration | −0.067 | −0.067 | −0.077 |
| (−1.392) | (−1.211) | (−1.347) | |
| Land Quality | 3.491 *** | 2.946 *** | 2.945 *** |
| (7.909) | (7.640) | (7.646) | |
| Land irrigation | 0.185 *** | 0.208 *** | 0.210 *** |
| (3.172) | (3.125) | (3.113) | |
| Urbanization | −0.003 *** | −0.003 ** | |
| (−2.710) | (−2.252) | ||
| Population density | −0.001 *** | −0.001 *** | |
| (−4.152) | (−3.906) | ||
| Distance | 0.003 | 0.003 | |
| (0.862) | (0.951) | ||
| Plain | 0.276 ** | 0.283 ** | |
| (2.237) | (2.271) | ||
| Hill | 0.117 | 0.108 | |
| (1.400) | (1.294) | ||
| Province dummies | No | Yes | Yes |
| ll | −7464.899 | −7301.618 | - |
| r2 | 0.160 | 0.227 | 0.220 |
| N | 3938 | 3938 | 3938 |
Note: t statistics in parentheses; * p < 0.1, ** p < 0.05, *** p < 0.01.
The estimates of heterogeneous effects.
| (1) | (2) | |
|---|---|---|
| Model (1) | Model (2) | |
| Medical insurance | 0.002 | |
| (1.482) | ||
| Endowment insurance | 0.003 ** | |
| (2.121) | ||
| Control variables | Yes | Yes |
| ll | −7302.096 | −7300.588 |
| r2 | 0.227 | 0.227 |
| N | 3938.000 | 3938.000 |
Note: t statistics in parentheses; ** p < 0.05.