Agricultural development is indispensible to financial support. On the basis of data of the financial expenditure for agriculture( FEA) and per capita net income of farmers( PCIF) of Jiangsu Province in 1990-2012,with...Agricultural development is indispensible to financial support. On the basis of data of the financial expenditure for agriculture( FEA) and per capita net income of farmers( PCIF) of Jiangsu Province in 1990-2012,with the aid of software R,this paper established the linear regression model for the relation between financial expenditure for agriculture and per capita net income of farmers through the function lm. Using the function summary,this paper obtained the summary statistical data,and made diagnostic check of regression model from image command plot and variance analysis table. Finally,it came up with pertinent recommendations including increasing financial expenditure for agriculture,optimizing expenditure structure,and balancing regional development.展开更多
The panel dataset which covered the socio-economic data of 31 provinces （municipalities and autonomous region） in China from 2000-2007 was used to do empirical analysis on the effect of abolishing agricultural taxes...The panel dataset which covered the socio-economic data of 31 provinces （municipalities and autonomous region） in China from 2000-2007 was used to do empirical analysis on the effect of abolishing agricultural taxes on farmers＇ income by referring to the fixed effect estimation method. It found that the abolition of agricultural taxes increased farmer＇s net income per capita by 2%. Combining with the results of empirical analysis, related policy suggestions were put forward to increase farmers＇ income.展开更多
According to the relevant data of farmers' net income from the Hebei Statistical Yearbook 2009, seven indicators are selected covering regional gross production x1, the total output of the primary industry x2, the...According to the relevant data of farmers' net income from the Hebei Statistical Yearbook 2009, seven indicators are selected covering regional gross production x1, the total output of the primary industry x2, the number of the people employed x3 and the number of the large livestock at the end of year x4 and so on, to analyze the factors that affect the per capita net income of farmers. The results show that the regional gross production x1 is in positive proportion to the total output value of the primary industry and the influneces are great; the total output value of the non-agricultural industry x5 and the local financial expenditure x6 are the important factors that affect the income of farmers; though the total value of rural residents'fixed investment x7 is in positive proportion to the income of farmers, the degree is not so great; the regression coefficient of the number of people employed x3 and the number of the large livestock at the end of year x4 is negative and the number of people employed x3 is a positive correlation to the net income of farmers. Based on the above analysis, the countermeasures on improving the income of rural residents are put forward: firstly, optimizing the rural indutrial structure, promoting the developement of the primary industry and improving the regional total output of production; secondly, expanding the development channel of non-agricutlural economic and attracking the rural surplus laborers; thirdly, enlarging the local financial expenses and Expanding the developmental space of the three agricultural issues concerning peasants, countryside and agriculture.展开更多
To anticipate the fluctuations in per capita disposable income among Hubei Province inhabitants for the subsequent biennium,a dataset spanning from 2005 to 2022 was culled.Employed in this study were three distinct ti...To anticipate the fluctuations in per capita disposable income among Hubei Province inhabitants for the subsequent biennium,a dataset spanning from 2005 to 2022 was culled.Employed in this study were three distinct time series prognostication methodologies:Exponential Smoothing(Holt-Winter),Autoregressive Moving Average(ARMA),and Autoregressive Integrated Moving Average(ARIMA).These techniques were applied to envision the forthcoming trajectory of per capita disposable income for the province's residents.By computing diverse metrics to assess predictive discrepancies—like the Mean Absolute Error(MAE)and Root Mean Square Error(RMSE)—the effectiveness of the assorted models was gauged,culminating in the selection of the ARIMA model due to its superior performance.Capitalizing on this,approximations for per capita disposable income during 2023 and 2024 were extrapolated.The resultant prognoses project a sustained and noteworthy uptick in per capita disposable income for urban denizens of Hubei Province in the forthcoming biennial span.Ultimately,the findings were translated into actionable policy suggestions and deductions,rendering them highly pertinent for the dissection of Hubei Province's economic evolution.展开更多
Based on the account of the vital role which the national finance played in supporting agriculture,the thesis presents the current situation of financial support for agriculture in China,in terms of the limited scale ...Based on the account of the vital role which the national finance played in supporting agriculture,the thesis presents the current situation of financial support for agriculture in China,in terms of the limited scale and irrational structure of financial support expenditure in agriculture.On the basis of the brief introduction of the current level of Chinese farmers' income,the thesis discusses the effects of scale and irrational structure of financial support expenditure in agriculture on the farmers' income,according to the related data of financial support expenditure in agriculture and rural per capita net income.The results indicate that the calculating regression equation has a remarkable explanation power,reflecting the positive role of financial support expenditure in agriculture played by national finance in increasing the farmers' income.As regards the structure of financial support expenditure in agriculture at present,according to the proportion from high to low,the expenditure primarily consists of three parts from high to low in sequence as follows:productive expenditure and funds for public undertakings,capital construction expenditure,and rural relief expenditure plus science and technology funds.Such sequence deviates from the marginal production effects of financial support expenditure in agriculture and the correlation of farmers' income,which demonstrates the severe irrationality of the structure of financial support expenditure in agriculture.Corresponding countermeasures are put forward as follows:on one hand,we should continue intensifying the efforts to support agriculture financially in order to form a regular increase mechanism;on the other hand,we should adjust and optimize the structure of financial support expenditure in agriculture,and further crystallize the investment flows.展开更多
文摘Agricultural development is indispensible to financial support. On the basis of data of the financial expenditure for agriculture( FEA) and per capita net income of farmers( PCIF) of Jiangsu Province in 1990-2012,with the aid of software R,this paper established the linear regression model for the relation between financial expenditure for agriculture and per capita net income of farmers through the function lm. Using the function summary,this paper obtained the summary statistical data,and made diagnostic check of regression model from image command plot and variance analysis table. Finally,it came up with pertinent recommendations including increasing financial expenditure for agriculture,optimizing expenditure structure,and balancing regional development.
文摘The panel dataset which covered the socio-economic data of 31 provinces （municipalities and autonomous region） in China from 2000-2007 was used to do empirical analysis on the effect of abolishing agricultural taxes on farmers＇ income by referring to the fixed effect estimation method. It found that the abolition of agricultural taxes increased farmer＇s net income per capita by 2%. Combining with the results of empirical analysis, related policy suggestions were put forward to increase farmers＇ income.
基金Supported by the Youth Foundation of Hebei Normal University(L2007Q29)
文摘According to the relevant data of farmers' net income from the Hebei Statistical Yearbook 2009, seven indicators are selected covering regional gross production x1, the total output of the primary industry x2, the number of the people employed x3 and the number of the large livestock at the end of year x4 and so on, to analyze the factors that affect the per capita net income of farmers. The results show that the regional gross production x1 is in positive proportion to the total output value of the primary industry and the influneces are great; the total output value of the non-agricultural industry x5 and the local financial expenditure x6 are the important factors that affect the income of farmers; though the total value of rural residents'fixed investment x7 is in positive proportion to the income of farmers, the degree is not so great; the regression coefficient of the number of people employed x3 and the number of the large livestock at the end of year x4 is negative and the number of people employed x3 is a positive correlation to the net income of farmers. Based on the above analysis, the countermeasures on improving the income of rural residents are put forward: firstly, optimizing the rural indutrial structure, promoting the developement of the primary industry and improving the regional total output of production; secondly, expanding the development channel of non-agricutlural economic and attracking the rural surplus laborers; thirdly, enlarging the local financial expenses and Expanding the developmental space of the three agricultural issues concerning peasants, countryside and agriculture.
文摘To anticipate the fluctuations in per capita disposable income among Hubei Province inhabitants for the subsequent biennium,a dataset spanning from 2005 to 2022 was culled.Employed in this study were three distinct time series prognostication methodologies:Exponential Smoothing(Holt-Winter),Autoregressive Moving Average(ARMA),and Autoregressive Integrated Moving Average(ARIMA).These techniques were applied to envision the forthcoming trajectory of per capita disposable income for the province's residents.By computing diverse metrics to assess predictive discrepancies—like the Mean Absolute Error(MAE)and Root Mean Square Error(RMSE)—the effectiveness of the assorted models was gauged,culminating in the selection of the ARIMA model due to its superior performance.Capitalizing on this,approximations for per capita disposable income during 2023 and 2024 were extrapolated.The resultant prognoses project a sustained and noteworthy uptick in per capita disposable income for urban denizens of Hubei Province in the forthcoming biennial span.Ultimately,the findings were translated into actionable policy suggestions and deductions,rendering them highly pertinent for the dissection of Hubei Province's economic evolution.
基金Supported by Liaoning Academy of Social Sciences
文摘Based on the account of the vital role which the national finance played in supporting agriculture,the thesis presents the current situation of financial support for agriculture in China,in terms of the limited scale and irrational structure of financial support expenditure in agriculture.On the basis of the brief introduction of the current level of Chinese farmers' income,the thesis discusses the effects of scale and irrational structure of financial support expenditure in agriculture on the farmers' income,according to the related data of financial support expenditure in agriculture and rural per capita net income.The results indicate that the calculating regression equation has a remarkable explanation power,reflecting the positive role of financial support expenditure in agriculture played by national finance in increasing the farmers' income.As regards the structure of financial support expenditure in agriculture at present,according to the proportion from high to low,the expenditure primarily consists of three parts from high to low in sequence as follows:productive expenditure and funds for public undertakings,capital construction expenditure,and rural relief expenditure plus science and technology funds.Such sequence deviates from the marginal production effects of financial support expenditure in agriculture and the correlation of farmers' income,which demonstrates the severe irrationality of the structure of financial support expenditure in agriculture.Corresponding countermeasures are put forward as follows:on one hand,we should continue intensifying the efforts to support agriculture financially in order to form a regular increase mechanism;on the other hand,we should adjust and optimize the structure of financial support expenditure in agriculture,and further crystallize the investment flows.
