Land Registration, Adjustment Experience, and Agricultural Machinery Adoption: Empirical Analysis from Rural China

Deng, Xin; Yan, Zhongcheng; Xu, Dingde; Qi, Yue

doi:10.3390/land9030089

Cited by 13 publications

(6 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There has also been much research on the impact of agricultural machinery on agricultural production (Deng et al, 2020), which has two main aspects: cost savings and improvements in quality and efficiency. Firstly, rising labour costs are an important cause of the decline in agricultural profitability (Li et al, 2017).…”

Section: Related Literature Reviewmentioning

confidence: 99%

Impact of Agricultural Mechanization on Agricultural Production, Income, and Mechanism: Evidence From Hubei Province, China

Peng

Zhao

Liu

2022

Front. Environ. Sci.

View full text Add to dashboard Cite

Increasing agricultural operating income is not only an important step in improving agricultural work for farmers in the new era, but is also a powerful way to promote rural revitalization. To improve our understanding of the high-quality development of agriculture in China, the factors limiting agricultural income and the impact of the level of agricultural mechanization on agricultural production and income and its mechanism were analysed. Based on field survey data on farmers, this study analysed the influence of agricultural mechanization level on agricultural production and income by utilizing a sample-modified endogenous merging model and a threshold effect model. The level of mechanization has a significant positive impact on the cost, output value, income and return rate of all types of crops. For every 1% increase in the level of mechanization, the yields of all crops, grain crops and cash crops increase by 1.2151, 1.5941 and 0.4351%, respectively. Heterogeneity analysis shows that the level of mechanization has a certain threshold effect on income, with a greater effect occurring after the threshold. A test of action mechanism shows that the mechanization level can increase income via a factor intensification path and quality improvement path, with the partial mediation effects of the two paths being 28.8 and 27.4%, respectively. It is recommended to increase subsidies to purchase agricultural machinery, research and promote machinery suitable for cash crops, increase the level of socialized agricultural services, and improve the ability of farmers to apply novel agricultural machinery and tools so as to increase their operating profits.

show abstract

Section: Related Literature Reviewmentioning

confidence: 99%

Impact of Agricultural Mechanization on Agricultural Production, Income, and Mechanism: Evidence From Hubei Province, China

Peng

Zhao

Liu

2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Agricultural mechanization plays an important supporting role in the transformation of agricultural production, and is the only way for China to realize agricultural modernization [61]. The use of agricultural machinery in agricultural production can significantly reduce agricultural labor costs and plant protection costs, such as weeding and pest control [62][63][64][65].…”

Section: Technical Effects Of High-standard Farmland Constructionmentioning

confidence: 99%

The Impact of High-Standard Farmland Construction Policy on Rural Poverty in China

Peng

Zhao

Chen

2022

Land

View full text Add to dashboard Cite

As the core component of agricultural development projects, high-standard farmland construction is a reliable measure of agricultural production, and can be used to improve the economy in rural areas. Based on provincial panel data, this paper adopts the continuous difference-in-differences (DID) method to analyze the impact of China’s high-standard basic farmland construction policy on the incidence of rural poverty and its mechanisms. The results show that this policy can significantly reduce the incidence of rural poverty by 7.4%, and if, after using robust standard error and bootstrap sampling 1000 times for a robustness test, the regression results are still robust, this also shows that this inhibitory effect is stable and persistent. It can be seen from a heterogeneity analysis that the implementation of the policy has a more significant effect on poverty reduction in areas with a higher incidence of rural poverty and a larger scale of land remediation, as well as areas in the eastern and western regions. A mechanism analysis shows that natural disasters, output value and technological progress play a partial intermediary role in the poverty reduction effects of high-standard basic farmland construction policy, and the intermediary effects are 5.79%, 44.03%, and 14.13%, respectively. This paper suggests that we should continue to promote the construction of high-standard basic farmland, explore suitable construction modes of high-standard basic farmland for different regions, continuously promote the process of agricultural modernization, and broaden the ways through which rural residents are able to accumulate capital to promote rural poverty reduction and revitalization.

show abstract

“…In order to further observe the spatial distribution of cultivated quality, we used the natural breakpoint method to classify cultivated land quality into five levels [26]. In ArcGIS, the cultivated land quality index obtained after data preprocessing and its corresponding grades are output as a map [27]. It can be seen from the Fig 2 that the natural quality grades of cultivated land in Henan Province are mainly concentrated in 12-13.…”

Section: Spatial Distribution Of Cultivated Land Qualitymentioning

confidence: 99%

Modeling of spatial pattern and influencing factors of cultivated land quality in Henan Province based on spatial big data

et al. 2022

View full text Add to dashboard Cite

The quality of cultivated land determines the production capacity of cultivated land and the level of regional development, and also directly affects the food security and ecological safety of the country. This paper starts from the perspective of spatial pattern of cultivated land quality and uses spatial autocorrelation analysis to study the spatial aggregation characteristics and differences of cultivated land quality in Henan Province at the county level scale, and also uses bivariate spatial autocorrelation to analyze the influence of neighboring influences on the quality of cultivated land in the target area. The spatial autoregressive model was used to further analyze the driving factors affecting the quality of cultivated land, and the influence of cultivated land area index was coupled in the process of rating analysis, which was finally used as a basis to propose more precise measures for the protection of cultivated land zoning. The results show that: (1) The quality of cultivated land in Henan Province has a strong spatial correlation (global Moran’s I≈0.710) and shows an obvious aggregation pattern in spatial distribution; positive correlation types (high-high and low-low) are concentrated in north-central and western mountainous areas of Henan Province, respectively; negative correlation types are discrete. The negative correlation types are distributed in a discrete manner. (2) The bivariate spatial autocorrelation results show that Slope (Moran’s I≈-0.505), Irrigation guarantee rate (IGR, 0.354), Urbanization rate (-0.255), Total agricultural machinery power (TAMP, 0.331) and Pesticide use (0.214) are the main influencing factors. (3) According to the absolute values of the regression coefficients, it can be seen that the magnitude of the influence of different factors on the quality of cultivated land is: Slope (0.089) >IGR (0.025) > Urbanization rate (0.002) > TAMP (0.001) > Pesticide use (1.96e-006). (4) Based on the spatial pattern presented by the spatial autocorrelation results, we proposed corresponding protection zoning measures to provide more scientific reference decisions and technical support for the implementation of refined cultivated land management in Henan Province.

show abstract

Land Registration, Adjustment Experience, and Agricultural Machinery Adoption: Empirical Analysis from Rural China

Cited by 13 publications

References 67 publications

Impact of Agricultural Mechanization on Agricultural Production, Income, and Mechanism: Evidence From Hubei Province, China

Impact of Agricultural Mechanization on Agricultural Production, Income, and Mechanism: Evidence From Hubei Province, China

The Impact of High-Standard Farmland Construction Policy on Rural Poverty in China

Modeling of spatial pattern and influencing factors of cultivated land quality in Henan Province based on spatial big data

Contact Info

Product

Resources

About