| Guizhou Province is one of the provinces with relatively backward economic development and the largest rural poverty.It has become the main battlefield of poverty alleviation that the state pays close attention to.In the new era,Guizhou has put forward the two major strategies of "big data and helping the poor"."Internet + precision poverty alleviation" has become an important starting point for Guizhou’s poverty alleviation and development work.In recent years,Guizhou Province is based on poverty alleviation and industry poverty alleviation.The original ecology of rural areas in Guizhou has nourished green and high-quality agricultural products.With the help of e-commerce,rural e-commerce promotes the emergence of "spring" of eco-agricultural products.The coordinated development trend of eco-agricultural products and e-commerce precision poverty alleviation is clear.This study will take the coupling development of eco-agricultural products and e-commerce precision poverty alleviation in Guizhou as the research object,explore the construction of the coupling mechanism of eco-agricultural products and e-commerce precision poverty alleviation,expand the benefit depth and breadth of e-commerce precision poverty alleviation,in order to effectively improve the efficiency of rural e-commerce precision poverty alleviation in poverty-stricken mountainous areas of Guizhou.The main contents of this study are as follows: Firstly,using the method of literature research,the five factors of infrastructure,external environment,ecological agricultural products,e-commerce platform for agricultural products and poverty alleviation efficiency are taken as the potential variables of the model path hypothesis,and six basic path hypothesis is proposed.Secondly,on the basis of sample data obtained from questionnaire survey,the reliability and validity of the survey data are tested by SPSS21.0 statistical software to verify the scientificity of the sample data,and then the structural equation model is established by AMOS22.0 software to fit and modify the initial hypothetical path.Thirdly,the fitting results of structural equation model are analyzed to explore the coupling mechanism between ecological agricultural products and e-commerce in Guizhou.The empirical conclusions of this study are as follows: Firstly,the study of sample data science,measurement equation path analysis,each latent variable can be explained by the corresponding measurable variables,so the scale designed in this study is effective.Secondly,H4 in the research path hypothesis has not passed the empirical test.Infrastructure has no significant direct impact on the development of agricultural e-commerce,but its indirect effect is higher.Complete and efficient infrastructure is the precondition for the rapid development of agricultural e-commerce.Third,the development of agricultural products e-commerce in Guizhou Province is not mature enough,the external environment has become a prerequisite for the development of agricultural products e-commerce,agricultural products e-commerce to achieve a breakthrough in development,the key is also to focus on agricultural products up.And the agricultural products e-commerce really helps to improve the efficiency of poverty alleviation,so it is necessary and feasible for Guizhou ecological agricultural products and e-commerce to accurately alleviate poverty.Fourthly,through the conclusion analysis,the precise poverty alleviation of eco-agricultural products and e-commerce is loosely coupled.There is a multi-level and multi-subject coupling behavior between them.We should continue to spread this poverty alleviation effect in the vast poverty-stricken areas.Therefore,the author finally proposes to establish and operate eco-agricultural products and e-commerce which are unified by power mechanism,operation mechanism and incentive mechanism.Accurate poverty alleviation coupling mechanism will further increase the efforts of ecological agricultural products,and effectively enhance the efficiency of precise poverty alleviation in poor rural areas. |