Empirical research on impacted factor of farmer＇s willingness for purchasing information Based on the survey data of Hebei province

Farmer＇s willingness for purchasing information, an important factor of farmer＇s information demand, was analyzed by logit model, according to the survey data of 535 farmers from eleven cities in Hebei province. The result showed that 6 factors had a significant influence on it, that is, education of farmers, per capita income of farmers, the affordability of information risk, the proportion of agricultural labor households, the type of agricultural production and the rural information service stations. On the basis of these, the related policy recommendations were proposed.

Purchase willingness of new energy vehicles: A case study in Jinan City of China

Speeding up the promotion of new energy vehicles is an important measure to optimize the energy structure,promote energy conservation and emission reduction,and develop the economy sustainability.The research uses a questionnaire survey to analyze the residents’willingness to purchase new energy vehicles in Jinan Gty of China,and utilizes the binomial logistic regression model and Global Moran's I to explain the impact of three factors(including responden ts'personal characteristics and subjective cognition,products,and social environment)on the purchase willingness of new energy vehicles.According to the survey,75.12%of the responden ts consider buying new energy vehicles in the future,but only 11.66%of the respondents know new energy vehicles well.It can be seen that the respondents in Jinan City generally have an insufficient understanding of new energy vehicles.It may lead to a decline in residents’trust in new energy vehicles,which will in turm affect their purchase willingness.Based on the survey,we find that women who live far from the city center enjoy high incomes and have a low-carbon awareness,generally exhibit a higher willingness to purchase new energy vehicles.Spatial distribution of the purchase willingness has certain aggregation characteristics,showing a positive spatial correlation pattern.Purchase willingness has a certain positive diffusion effect in space,and areas with a higher purchase willingness have a positive driving effect on their surrounding regions.Spatial distribution of the purchase willingness can be used as one of the breakthroughs in promoting new energy vehicles.In addition,safety,price,after-sales service,and infrastruicture of new energy vehicles are important determinants of people's purchase willingness.Among the types of subsidies,financial subsidy is most effective on the residents’purchase wilingness.Our research provides an impor tant information for the promotion of new energy vehicles in the region.

Willingness of returning migrant workers to purchase houses: A case study of 45 villages in Henan Province, China

The willingness of returning migrant workers to purchase houses has an important impact on local urbanization.At present,there are few researches on the willingness of returning migrant workers to purchase houses.The existing researches mostly focus on the perspective of sociology and economics,and few studies are conducted from the perspective of geography.Based on the survey data of 45 villages in Henan Province of China in 2019,this study used binary logistic method to study the influencing factors of the willingness of returning migrant workers to purchase houses.The willingness of returning migrant workers to purchase houses is affected by many factors,such as personal,family,village,and returning factors.Among them,age and returning period are negatively correlated with the willingness of returning migrant workers to purchase houses.Factors such as years of education,years of working,and per capita income of village are positively correlated with the willingness of returning migrant workers to purchase houses.Returning migrant workers in plains and hilly areas are more willing to purchase houses than those in mountainous areas.The formation of the willingness to purchase houses is mainly related to economic foundation,age,marital status,and other factors.Returning migrant workers are becoming more willing to purchase houses,and the expected locations are mainly concentrated in the county seats.In the context of China’s high density of rural population and rapid urbanization,more returning migrant workers are expected to purchase houses in cities and towns for the sake of employment,marriage,children’s education,and access to public services.As a result,there is an extensive market of potential purchasers,which affects the development of the local urban real estate industry and is of great significance for returning migrant workers to truly integrate into the cities.However,some returning migrant workers still choose to purchase houses in villages,mainly affected by traditional concepts,living habits,and the better development of villages.Therefore,it is of great practical significance to explore the willingness of returning migrant workers to purchase houses,so as to master the flow laws and future behavior of returning migrant workers to purchase houses.