THE MECHANISM OF INTERGENERATIONAL CHANGE OF AGRICULTURAL LABOR FORCE ON AGRICULTURAL PRODUCTION: A CASE STUDY OF LONGXI COUNTY
CHEN Long1, ZHANG Zhi-bin1, WANG Xiao-qi1, Dong Jian-hong2, WU Zhi-xiang1
1. College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou 730000, China; 2. School of Design Art, Lanzhou University of Technology, Lanzhou 730000, China
Abstract：This study focuses on Longxi County to examine the characteristics and formation mechanisms of intergenerational changes in the agricultural labor force that impact agricultural production. By utilizing 1,267 questionnaire responses and applying a partial least squares regression model, the research findings reveal that agricultural production exhibits an overall fluctuating downward trend during the intergenerational change divided by ten-year intervals. Specifically, The agricultural labor force aged 40-49 years is the transition group that affects agricultural production, while individuals below 40 years old display a negative effect on agricultural production. Among the influencing factors, gender differences among laborers under the age of 60 significantly affect agricultural production, with women exerting a greater positive impact than men. Currently, laborers above 60 years old contribute positively to agricultural production, while those below this age threshold have a negative effect. Land attachment significantly affects agricultural production among laborers above 70 years old and female laborers aged 50-59. Regarding the mechanism of influence, the interplay of various factors such as the human-land relationship, population migration, education and skill training, and natural conditions greatly contribute to the decline in agricultural production levels.
陈龙, 张志斌, 王晓琪, 董建红, 吴志祥. 农业劳动力代际变迁对农业生产的影响机理研究——以黄土高原地区陇西县为例[J]. 人文地理, 2024, 39(5): 119-128.
CHEN Long, ZHANG Zhi-bin, WANG Xiao-qi, Dong Jian-hong, WU Zhi-xiang. THE MECHANISM OF INTERGENERATIONAL CHANGE OF AGRICULTURAL LABOR FORCE ON AGRICULTURAL PRODUCTION: A CASE STUDY OF LONGXI COUNTY. HUMAN GEOGRAPHY, 2024, 39(5): 119-128.
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