Present Situation of Rural Regional Development and Agricultural Extension Policy

The formulation of agricultural extension policy and the development of rural regional economy present the relationship of mutual existence,mutual influence and mutual promotion.Therefore,it is necessary to study the agricultural extension policy according to the current situation of rural regional development.Agricultural technology extension system is an organization set up at county and township levels to provide farmers with scientific research achievements and practical technical services on planting,animal husbandry,fishery,forestry,agricultural machinery and water conservancy,and it is an important carrier for implementing the strategy of developing agriculture through science and technology.On the basis of expounding the value and significance of rural regional economic development,this paper analyzes the problems existing in China s rural regional development from the aspects of rural infrastructure and public services,rural labor force s cultural and scientific level,rural grass-roots extension system,etc.,and puts forward corresponding measures against the problems.This study has certain theoretical reference value for promoting the all-round development of China s rural economy and realizing the great strategy of rural revitalization in China.

Process and cause of urban-rural development transformation in the Bohai Rim Region, China

China＇s reform and opening-up policy has brought the country a great development opportunity. The high-speed growth of the economy not only led China to a period of industrialization, urbanization, informatization and agricultural modernization, but also exacerbated the situation of the urban–rural dual structure. Based on the review of current studies, we first used the analytic hierarchy process（AHP） method to evaluate the urban–rural development and transformation level by population transformation index, land transformation index, industrial transformation index and social transformation index between 1996 and 2012 around the Bohai Rim Region. Then, based on the results of each index, we used the exploratory spatial data analysis（ESDA） method to investigate the spatial autocorrelation of the change in the urban–rural development transformation index during the 16-year period using Global Moran＇s I index and Local Moran＇s I index. Finally, we investigated the mechanism of change of the urban–rural development transformation index at county level, summarizing five main factors：（1） the radiation from the surrounding big cities,（2） the acceleration of the urbanization process,（3） the upgrading of the industrial structure,（4） the publishing and implementation of a macro development strategy and regional policy, and（5） natural factors such as topology.

A large-scale village classification model for tailored rural revitalization:A case study of Hubei province,China

A comprehensive understanding of village development patterns and the identification of different village types is crucial for formulating tailored planning for rural revitalization.However,a model for large-scale village classification to support tailored rural revitalization planning is still lacking.This study aims to develop a large-scale village classification model using the Gaussian Mixture Models to support tailored rural revitalization efforts.Firstly,we propose a multi-dimensional index system to capture the diverse features of massive villages.Secondly,the GMM clustering algorithm is applied to identify distinct village types based on their unique features.The model was employed to classify the 25,409 villages in Hubei province in China into four classes.Villages in these classes exhibit discernible differences in spatial distribution,topography,location,economic development level,industrial structure,infrastructure,and resource endowment.In addition,the GMM-based village classification model demonstrates a high level of agreement with evaluations made by planning experts,confirming its accuracy and reliability.In the empirical study,our model achieves an overall accuracy of 95.29%,signifying substantial concordance between the classifications made by planning experts and the results generated by our model.Based on the identified features,tailored paths are proposed r each village class for rural revitalization efforts.