JOURNAL OF NATURAL RESOURCES

LI Jia-hui, CHENG Wen-xin, LU Qian

JOURNAL OF NATURAL RESOURCES, 2024, 39(12): 2980-3004. DOI: 10.31497/zrzyxb.20241215

变量	（1）技术采用	（2）借贷可得性	（3）技术采用	（4）信息可得性	（5）技术采用	（6）风险承担水平	（7）技术采用
数字金融	0.185^*** (0.029)	0.588^*** (0.092)	0.148^*** (0.029)	0.486^*** (0.077)	0.160^*** (0.030)	0.959^*** (0.113)	0.141^*** (0.030)
借贷可得性	—	—	0.062^*** (0.011)	—	—	—	—
信息可得性	—	—	—	—	0.051^*** (0.014)	—	—
风险承担水平	—	—	—	—	—	—	0.046^*** (0.009)
控制变量	已控制	已控制	已控制	已控制	已控制	已控制	已控制
F	15.08^***	4.50^***	15.90^***	3.66^***	15.31^***	3.97^***	15.69^***
Adj R²	0.517	0.210	0.535	0.168	0.525	0.184	0.531

Table 6 Mediation effect test results

Other figure/table from this article

Fig. 1 The influence mechanism of digital finance and social network on farmers' adoption of precision agricultural technology
Table 1 Index system of social network
Table 2 Variable definition and descriptive statistics
Table 3 Basic regression results of digital finance and social network on farmers' adoption of precision agricultural technology
Table 4 The average treatment effect of digital finance on farmers' adoption of precision agricultural technology
Table 5 CMP model estimation results
Table 7 Mediated moderation effect test results
Table 8 Influence mechanism test results
Table 9 Differences in the impact of different functions of digital finance and social network on farmers' adoption of precision agricultural technology
Table 10 Estimated results of the mediated moderation effect based on sequential test (the moderating variable is strong social network)
Table 11 Estimated results of the mediated moderation effect based on the sequential test method (the moderating variable is weak social network)
Table 12 Estimation results of mediated moderation effect based on Bootstrap method
Table 13 The differences in the impact of digital finance and social network on the adoption of precision agricultural technology by different types of farmers
Table 14 Robustness test results