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Inicio  /  Agriculture  /  Vol: 12 Par: 8 (2022)  /  Artículo
ARTÍCULO
TITULO

Regional Differences of Farmers? Willingness to Grow Grain and Its Influencing Factors in Shandong Province under the Background of New-Type Urbanization

Xufang Zhang    
Minghua Zhao    
Xiaojie Wang and Rongqing Han    

Resumen

Taking Shandong Province as the research area, we explored the willingness of farmers to grow grain and the influencing factors. By constructing the evaluation system of their willingness with 6 levels and 15 indicators based on field investigation, and quantitatively analyzing the influence degree and impact assessment of factors through a logistic regression model, the regional differences in farmers? willingness were summarized, and the influencing factors were recognized. This study indicates that there were obvious regional differences in farmers? willingness, which were the highest in the western region, the second in the eastern region, and the lowest in the central region. Specifically, the willingness varies significantly among cities, among which Laiwu has the highest willingness (0.76), while Tai?an has the lowest (0.41). The level of urbanization in different regions and the main influencing factors are different, and the same factor has different degrees of influence on cities, leading to regional differences. In terms of urbanization level, the main influencing factors in areas with high urbanization levels are the proportion of grain income and grain expenditure. However, in areas with a low urbanization level, it is the farmers? planting attitude. From the perspective of influence mode, different factors have positive and negative differences in the willingness. Additionally, farmers? willingness is becoming more and more rational, and more consideration is given to economic benefits. Among the influencing factors, the land planting mode, the proportion of grain income, and the proportion of grain expenditure are the most important factors, and 82% (11) of the cities are affected by the above three factors. Finally, the corresponding incentive measures are proposed by the regional differences in the influencing factors in various cities.

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