On Influencing Factors of Farmers’ E-Commerce Use under Rural Revitalization Background: Based on the Survey of A City in Jiangsu Province

Objective: Talent is the key factor in the implementation of the Rural Revitalization Strategy. Based on the willingness and influencing factors of new professional farmers to participate in skill training in the development of modern urban agriculture, this study seeks to study the education of professional farmers from the perspective of demand. Methods: Based on the questionnaire survey data of new vocational farmers in Wenzhou, this study systematically analyzed the current situation, training willingness, training methods, and training effect of new vocational training, and made quantitative statistical analysis of the original basic data. Combined with the characteristics of agricultural industry and post, this study empirically analyzed their perception of participating in skill training and the influencing factors. Results: The number of new vocational farmers willing to participate in training was significantly higher than that of farmers unwilling to participate in training. The frequency of technical problems encountered in agricultural production, the times of training, the evaluation of training effect, effect, cost, teacher level, hardware level, certificate, and other factors have a significant impact on the willingness of new vocational farmers to participate in skills training. Conclusion: This study proposes to build a vocational occupation education system to enhance the training intention of new occupation farmers. During the COVID-19, the innovative form of webcast sales realized the unification of technology and service.

Download Full-text

The regional development level of vocational education and influencing factors analysis based on gray system theory — A case of Jiangsu province

2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009) ◽

10.1109/gsis.2009.5408023 ◽

2009 ◽

Author(s):

Song Xian-Shan ◽

Cai Yi

Keyword(s):

System Theory ◽

Vocational Education ◽

Regional Development ◽

Influencing Factors ◽

Jiangsu Province ◽

Gray System Theory ◽

Gray System ◽

Factors Analysis ◽

Development Level

Download Full-text

Effects of straw’s comprehensive utilization-technology on agricultural carbon emission in Jiangsu Province

E3S Web of Conferences ◽

10.1051/e3sconf/202126701014 ◽

2021 ◽

Vol 267 ◽

pp. 01014

Author(s):

Xue Qin ◽

Jun Yan ◽

G.Y. Zhu

Keyword(s):

Influencing Factors ◽

Carbon Emissions ◽

Emission Reduction ◽

Carbon Emission ◽

Explanatory Variable ◽

Inhibitory Effect ◽

Jiangsu Province ◽

Stirpat Model ◽

Comprehensive Utilization ◽

The Core

Straw resources are abundant in Jiangsu province, the utilization and burning of straw is an important problem in agriculture carbon emission reduction. In order to analyze the effect of straw’s comprehensive utilization technology on agricultural carbon emission, the STIRPAT model is introduced, which takes straw utilization technology as the core explanatory variable while other influencing factors as control variables, and the ridge regression is adopted to conduct an empirical analysis on the influencing factors of agricultural carbon emission in Jiangsu province from 2008 to 2018. The results demonstrate that for every 1% increasing of straw’s comprehensive utilization technology, agriculture carbon emission will be reduced by 0.17%; the labor force is the biggest driver of agriculture carbon emissions; agriculture economic development, energy consumption takes a certain inhibitory effect on agriculture carbon emissions, but not very great.

Download Full-text

Study on the Spatial Restructuring of the Village System at the County Level Oriented toward the Rural Revitalization Strategy: A Case of Jintan District, Jiangsu Province

Land ◽

10.3390/land9120478 ◽

2020 ◽

Vol 9 (12) ◽

pp. 478

Author(s):

Xinguo Bu ◽

Lijie Pu ◽

Chunzhu Shen ◽

Xuefeng Xie ◽

Caiyao Xu

Keyword(s):

Service Area ◽

Jiangsu Province ◽

County Level ◽

Rural Revitalization ◽

Spatial Restructuring ◽

Important Means ◽

The Village ◽

The Empirical Analysis

The spatial restructuring of village systems is an important means by which to promote rural revitalization. A large number of villages with small average areas bring great challenges to the implementation of the Rural Revitalization Strategy (RRS) in China. To promote the implementation of the RRS, it is necessary to restructure the village system. This paper proposes a method of spatial restructuring for the village system at the county level, oriented toward the RRS. This study proposes a village classification system with central villages, characteristic villages, and merged villages. It also accounts for the role of various villages in the RRS and proposes differentiated development strategies. This study involved the construction of a village centrality index system and a central village selection model aligned with the RRS. Taking the district of Jintan in Jiangsu Province as a case study for the empirical analysis, the results show that the applicability of the model to the study area is good. Using this model, 32 central villages and 10 characteristic villages were selected. After restructuring the village system, the number of villages decreased by 69.1%. The results from analyzing the travel time radius of the central villages show that 71.5% of the land in the evaluation area lies within a 15 min commute of the central villages, and 96.5% lies within 25 min, indicating that the locations and number of the selected central villages are reasonable. Compared with the service area of the village system before the restructure, the average service area of the central villages is 3.4 times larger, which helps to improve the infrastructure and public service efficiency of the central villages. By guiding resources to aggregate in the central villages and promoting the comprehensive consolidation of land in the merged villages, the restructuring of the village system can help further the success of the RRS in Jintan.

Download Full-text