Accumulation of production capital and income growth of Chinese farmers in the post-poverty alleviation era: A study based on a two-way fixed effects model with CFPS data
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Government subsidies boost rural income and farm machinery value, but their impact on ownership wanes for existing owners over time. Continued investment is key for modernization and poverty alleviation.
Area Of Science
- Agricultural Economics
- Rural Development Studies
- Public Policy Analysis
Background
- Agricultural mechanization is vital for modernizing agriculture and enhancing productivity.
- Government subsidies are key policy tools for rural development, poverty alleviation, and agricultural modernization.
Purpose Of The Study
- To analyze the long-term effects of government subsidies on farm machinery acquisition, rural household income, and capital accumulation.
- To evaluate the impact of subsidies in the context of poverty alleviation and rural revitalization policies.
Main Methods
- Analysis of government policies related to targeted poverty alleviation and rural revitalization.
- Longitudinal assessment of the impact of subsidies on agricultural machinery value and ownership rates from 2016 to 2020.
Main Results
- Government subsidies significantly increased per capita net income in rural households.
- For households already owning machinery, subsidy benefits diminished over time post-poverty alleviation.
- Subsidies enhanced agricultural machinery value, with ownership rates fluctuating but showing no significant improvement by 2020 compared to 2016.
Conclusions
- While subsidies initially boost income and machinery value, sustained mechanisms are needed to ensure long-term benefits and capital accumulation.
- Encouraging capital accumulation through subsidies and income is crucial for consolidating poverty alleviation achievements and promoting rural modernization.
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
Related Concept Videos
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
Weather and Climate
Weather and climate are related, though they differ in terms of time scale and predictability. Weather refers to the state of the atmosphere at a specific time and place, whereas climate...
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.