The Impact of Land Transfers on the Adoption of New Varieties: Evidence from Micro-Survey Data in Shaanxi Province, China

被引:2
|
作者
Chen, Yi [1 ]
Wang, Zhengbing [1 ]
机构
[1] Northwest A&F Univ, Coll Econ & Management, Yangling 712100, Xianyang, Peoples R China
关键词
new varieties; land transfers; scale; UAVs; WATER CONSERVATION TECHNIQUES; AGRICULTURAL TECHNOLOGY; POVERTY REDUCTION; RICE FARMERS; PRODUCTIVITY; SOIL; ADJUSTMENT; OPERATION; SYSTEMS; RISK;
D O I
10.3390/land12030632
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Land transfers play a vital role in determining the level of farm machinery service and variety selection by scattered land reduction and contiguous land enhancement, which are also conducive to poverty alleviation and welfare utilization. Based on the micro-survey data of 898 kiwifruit growers in Shaanxi Province, this paper analyzed the effect of land transfers on the adoption of new varieties by propensity score matching (PSM) technology. A stepwise regression method was used to test the mediating role of land scale and the moderating role of unmanned aerial vehicles (UAVs). The results suggest the following: (1) Farmers with land transfers had a significant positive effect on the adoption of new varieties, with a 12.5% increase in the likelihood of new variety adoption. (2) The impact of land transfers on the adoption of new varieties was partially mediated through land scale. (3) The positive moderating role of UAV services was empirically emphasized. With the goal of promoting the average income and boosting farmland productivity, the improvement of the land property rights trading market, joint efforts from government and rural cooperatives, and professional and regular training are proposed to optimize land-use structures and reduce machinery service costs, thereby encouraging farmers to adopt new, improved varieties.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] The Impact of Rural Land Right on Farmers' Income in Underdeveloped Areas: Evidence from Micro-Survey Data in Yunnan Province, China
    Deng, Xiang
    Zhang, Min
    Wan, Chunlin
    LAND, 2022, 11 (10)
  • [2] The import behavior of Japanese corporate groups: Evidence from micro-survey data
    Ueda, K
    Sasaki, YN
    JAPAN AND THE WORLD ECONOMY, 1998, 10 (01) : 1 - 11
  • [3] Clean energy powers energy poverty alleviation: Evidence from Chinese micro-survey data
    Hong, Xudong
    Wu, Shengnan
    Zhang, Xueliang
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2022, 182
  • [4] Production and Market Participation of Buckwheat Farmers: Micro-Evidence from Shaanxi Province, China
    Muraoka, Rie
    Chien, Hsiaoping
    Zhao, Minjuan
    SUSTAINABILITY, 2023, 15 (06)
  • [5] Internet Usage and Non-Farm Employment of Rural Labor: Micro-Survey Data from Rural China
    Chen, Fan
    Shi, Sheng
    Chen, Wei
    SOCIAL INDICATORS RESEARCH, 2024,
  • [6] What is the policy improvement of China's land consolidation? Evidence from completed land consolidation projects in Shaanxi Province
    Zhou, Jian
    Cao, Xiaoshu
    LAND USE POLICY, 2020, 99
  • [7] The impact of rural human capital on household energy consumption structure: Evidence from Shaanxi Province in China
    Li, Xiuqing
    Mao, Hui
    Fang, Lan
    SUSTAINABLE FUTURES, 2024, 8
  • [8] Impact of social networks on fertilizer use efficiency in China: Evidence from kiwifruit production in Shaanxi province
    Chang, Fangyuan
    Liu, Li
    Wang, Yu
    Liu, Jundi
    Bai, Xiuguang
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (45) : 101841 - 101857
  • [9] The impact of teacher professional development programs on student achievement in rural China: evidence from Shaanxi Province
    Lu, Meichen
    Loyalka, Prashant
    Shi, Yaojiang
    Chang, Fang
    Liu, Chengfang
    Rozelle, Scott
    JOURNAL OF DEVELOPMENT EFFECTIVENESS, 2019, 11 (02) : 105 - 131
  • [10] Impact of social networks on fertilizer use efficiency in China: Evidence from kiwifruit production in Shaanxi province
    Fangyuan Chang
    Li Liu
    Yu Wang
    Jundi Liu
    Xiuguang Bai
    Environmental Science and Pollution Research, 2023, 30 : 101841 - 101857