Research Article
Propensity Score Matching Method Based on STATA Analysis of Influencing Factors of Knowledge Sharing on Farmers' Green Production
@INPROCEEDINGS{10.4108/eai.9-12-2022.2327634, author={Xiwen Zhang and Jixuan Wang and Yixuan Chen}, title={Propensity Score Matching Method Based on STATA Analysis of Influencing Factors of Knowledge Sharing on Farmers' Green Production}, proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2023}, month={3}, keywords={green development of agriculture; propensity score matching}, doi={10.4108/eai.9-12-2022.2327634} }- Xiwen Zhang
Jixuan Wang
Yixuan Chen
Year: 2023
Propensity Score Matching Method Based on STATA Analysis of Influencing Factors of Knowledge Sharing on Farmers' Green Production
MSIEID
EAI
DOI: 10.4108/eai.9-12-2022.2327634
Abstract
Based on the micro-survey data of 671 households in Sichuan Province, the propensity score matching method was used to establish a model to empirically study the effect of knowledge sharing on farmers' green production. The results show that under the counterfactual hypothesis, the average processing effect of the adoption degree of green production technology increases by 0.704 due to the knowledge sharing of farmers without knowledge sharing. That is, knowledge sharing has a significant positive impact on farmers' green production behavior.
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