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| Wang, Hao. |
| Based on the research technology of scholars’ prediction of farmers’ income and the data of per capita annual net income in rural households in Henan Statistical Yearbook from 1979 to 2009, it is found that time series of farmers’ income is in accordance with I(2) non-stationary process. The order-determination and identification of the model are achieved by adopting the correlogram-based analytical method of Box-Jenkins. On the basis of comparing a group of model properties with different parameters, model ARIMA (4, 2, 2) is built up. The testing result shows that the residual error of the selected model is white noise and accords with the normal distribution, which can be used to predict farmers’ income. The model prediction indicates that income in... |
| Tipo: Journal Article |
Palavras-chave: Farmers’ income; Model ARIMA; Prediction; Time series; China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/102374 |
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| Liu, Yao-sen. |
| According to the relevant data of China Statistical Yearbook and Chinese Rural Statistical Yearbook in the year of 2009, the changes of grey correlation degree of farmers’ net income, various items of incomes, national gross agriculture-supporting expenditure and various items of expenditures, farmers’ net income and various items of fiscal agriculture-supporting expenditure in the eighth Five-Year Plan, ninth Five-Year Plan and tenth Five-Year Plan by using grey correlation degree and the by choosing seven indicators covering income from wage and salary, income from household business, transfer income and property income, agricultural production-supporting expenditure, agricultural basic construction expenditure，expenses of three items of agricultural... |
| Tipo: Journal Article |
Palavras-chave: Fiscal agricultural supporting expenditure; Farmers’ income; Grey correlation degree; Grey correlation analysis; China; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/113431 |
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| Xiong, Zhang-lin; Niu, Ying. |
| Based on the introduction of factors affecting the income level of farmers in China, a total of 31 provinces, autonomous regions and municipality cities are taken as samples to select 13 factors affecting the income level of farmers, which are arable land area (X1), disaster area (X2), effective irrigation area (X3), fertilizer application (X4), mobile phone (X5), personal computer (X6), people joining in the new rural cooperative medical care (X7), rural investment (X8), household-use machine (X9), agricultural product price (X10), proportion of labor force with above junior high school education (X11), rural delivery route (X12), and rural electricity consumption (X13). At the same time, factor analysis method is used to analyze the factors affecting the... |
| Tipo: Journal Article |
Palavras-chave: Farmers’ income; Influencing factors; Factor analysis method; China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/94268 |
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| Wang, Hao. |
| According to data of per capita net income of rural households and the per capita regional gross output from 1978 to 2008 provided by the Henan Statistical Yearbook , we know that both of the time series obey the unit root process, so they belong to non-stationary time series. The results of the Engle-Granger two-stage estimation method show that the two terms have long-term stable integration equilibrium relations. The results of Granger Causality Test show that there is only the one way Granger Causality relation from farmers’ income increase to economic growth. Connecting with the reality of Henan Province, the possible reasons are analyzed. The population of rural residents is huge and the income level of the rural residents are low, and the... |
| Tipo: Journal Article |
Palavras-chave: Farmers’ income; Economic growth; Granger Causality Test; Co-integration analysis; China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/102383 |
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