Exploration of spatial differentiation patterns and related influencing factors for National Key Villages for rural tourism in China in the context of a rural revitalization strategy, using GIS-based overlay analysis

2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Ai Zhang ◽  
Yuqi Yang ◽  
Tianyi Chen ◽  
Jianing Liu ◽  
Yuandong Hu
Keyword(s):  
Influencing Factors ◽  
Spatial Differentiation ◽  
Rural Tourism ◽  
Overlay Analysis ◽  
Rural Revitalization

scholarly journals Research on the Influencing Factors of the Willingness of New Professional Farmers to Participate in Skills Training and Its Promotion during the Development of Urban ModernAgriculture

CONVERTER ◽  
2021 ◽  
pp. 199-210
Author(s):  
Yixi Liu, Pingyan Guo, Zhiyao Ma, Chun Hu
Keyword(s):  
Influencing Factors ◽  
Skill Training ◽  
Skills Training ◽  
Training Effect ◽  
Training Methods ◽  
Technical Problems ◽  
Agricultural Industry ◽  
Rural Revitalization ◽  
Key Factor ◽  
The Times

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.

scholarly journals Temporal-Spatial Differentiation and Optimization Analysis of Cultivated Land Green Utilization Efficiency in China

Land ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 158 ◽  
Author(s):  
Qianru Chen ◽  
Hualin Xie
Keyword(s):  
Influencing Factors ◽  
Carbon Emissions ◽  
Spatial Differentiation ◽  
Utilization Efficiency ◽  
Added Value ◽  
Scale Model ◽  
Eastern Region ◽  
Cultivated Land ◽  
Land Utilization ◽  
Extension System

Cultivated land is closely related to national food security, rural economic development and social stability. The cultivated land pollution and carbon emissions caused by chemical fertilizers, pesticides, film residues, etc., in the process of cultivated land utilization pose a serious threat to the cultivated land ecosystem in China. The comprehensive analysis on the cultivated land green utilization efficiency (GUECL), its influencing factors, and optimization direction provides a valuable basis for the green utilization of cultivated land. Based on a panel data of 30 provinces (cities or districts) in China from 2001 to 2016, the GUECL in China under the constraints of pollution and carbon emissions was measured by using a super-efficient SBM-VRS (slack based model-variable return to scale) model. The influencing factors and optimization directions of the GUECL were analyzed through the Tobit model and slack values, respectively. The results show that the GUECL in China rose with fluctuations from 2001 to 2016. Since 2014, the eastern region has surpassed the western region and has become the region with the highest mean GUECL value. The room for resource conservation and pollution reduction varies in different regions of China. Farmers’ dependence on cultivated land and agricultural added value are positively related to the GUECL in China. Farmers’ occupational differentiation, agricultural machinery density, and agricultural disaster rate have had negative effects on the GUECL in China. The loss of the GUECL in China is mainly due to the redundancies of land input, pollution emission, and mechanical input. By analyzing these influencing factors and optimization directions, it is concluded that improving rural land transfer market and agricultural infrastructure construction, establishing a new agricultural technology extension system, and vigorously cultivating new professional farmers are the targeted measures to improve the GUECL.

scholarly journals Study on the Sustainability of Rural Tourism under the Background of Rural Revitalization

2021 ◽  
Vol 251 ◽  
pp. 02075
Author(s):  
Yang Xuyan ◽  
Gong Na
Keyword(s):  
Communist Party ◽  
Rural Areas ◽  
Central Committee ◽  
Tourism Industry ◽  
Rural Tourism ◽  
Positive Development ◽  
Communist Party Of China ◽  
The Sustainable Development ◽  
Rural Revitalization ◽  
Long Time

For a long time, the Communist Party of China Central Committee and the State Council have attached great importance to rural development. At the report of the 19th National Congress, the Communist Party of China clearly pointed out that we should firmly “implement the Rural Revitalization Strategy” and “adhere to the priority development of agriculture and rural areas”. With the improvement of rural ecological environment and the development of economic construction, rural tourism has become more and more popular among the public, and has become one of the important pillars of Rural Revitalization and poverty alleviation. At the same time, rural tourism has greatly increased villagers’ income, improved villagers’ quality of life, and improved villagers’ happiness index. It can be seen that the rural tourism industry and the implementation of Rural Revitalization Strategy promote each other, and the positive development of rural tourism is the only way to promote the construction of new socialist countryside. This paper discusses how to realize the sustainable development of rural tourism in the context of Rural Revitalization from the perspective of the long-term significance of rural tourism to Rural Revitalization and the ways to develop rural tourism.

scholarly journals Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Huadi Wang ◽  
Shaogui Xu ◽  
Qiuyi Xie ◽  
Jianying Fan ◽  
Nianxing Zhou
Keyword(s):  
Economic Development ◽  
Influencing Factors ◽  
Labour Force ◽  
Eastern China ◽  
Regional Distribution ◽  
Malmquist Index ◽  
Spatial Differentiation ◽  
Scale Efficiency ◽  
Resource Endowment ◽  
Temporal And Spatial

Tourism efficiency can be used to effectively measure the utilization of regional tourism resources and the state of tourism economic development. Based on the super efficiency DEA model, Malmquist index, and spatial econometric model, this article measures the static and dynamic tourism efficiency of 11 provinces and cities in eastern China for 2010 to 2019. In combining ArcGIS 10.0 and MATLAB 2016b software, this article studies the temporal and spatial differentiation of tourism efficiency in eastern provinces and cities and influencing factors. The results show that (1) the overall tourism efficiency of eastern provinces is at a high level and relatively stable, but the regional distribution is quite varied, and problems of spatial imbalance are prominent; (2) the overall tourism efficiency of eastern provinces is increasing, and the change index of technical efficiency contributes the most, followed by the change index of scale efficiency; and (3) industrial status, traffic conditions, tourism resource endowment, and the labour force are the main factors affecting the temporal and spatial differentiation of tourism efficiency in eastern provinces and cities, while the level of economic development and information technology have no significant impact.

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