Rural Industry Research Articles

Strategy and Practice Research on Teaching Quality Improvement of Brand Design Course Cluster for Rural Culture Revitalization in the Digital Era

Abstract The implementation of a rural revitalization strategy promotes the branding development of rural cultural industry and its local characteristics, and “branding agriculture” has become an important engine for upgrading and development of rural industry. The article establishes the teaching framework for the brand design course group with the concept of CDIO engineering education. Factor analysis and structural equation modeling are employed to examine the specific factors that affect the improvement of teaching quality in the brand design course group. The empirical data was obtained through questionnaires, and the public factors were obtained based on exploratory and validation factor analysis. Then, structural equation modeling was used to analyze the influence effects of the variables. The cumulative contribution of the variance of the six common factors extracted by factor analysis to the teaching quality of the brand design course group reaches 79.061%. The goodness of fit of the structural equation model meets the modeling needs, in which the path coefficient of teacher quality on teaching quality is 0.789. The coefficient of the indirect influence effect on teaching content is 0.211. The primary goal of improving the teaching quality of the brand design course group is to establish a high-quality teacher team as a way to help students understand and grasp the connotations of rural culture.

A comprehensive sustainable development framework; community capitals and village-cooperative initiative.

Considering the cooperative sector capabilities in organizing rural people, primarily focusing on empowering manpower and adopting a sustainable approach to basic resources (water and soil), village-cooperative initiative has emerged as a new concept by registering and forming 4565 new cooperatives in Iran's rural regions. The present research which was conducted in two qualitative and quantitative phases designed a new model by integrating the new village-cooperative approach along with the sustainable livelihood's framework theory. The study sample of the qualitative phase included 32 theorists of the village-cooperative initiative. To analyze the data, the grounded theory and three-step process of open coding, axial coding and selective coding were used using MAXqda18 software. Finally, a paradigm model was designed whose most important components included causal conditions (shocks and seasonal conditions), contextual conditions (trends and governmental support), intervening conditions (control and market development), central categories (sustainable livelihoods with a village- cooperative approach), strategies (coping and adaptation) and consequences (creating jobs, establishing cooperatives, supporting smart agriculture and strengthening social capital). The statistical quantitative phase population consisted of cooperatives members in the village-cooperative initiative (N=405), being selected through Cochran's formula with proportional sampling method summing up to198 people from 5 provinces. The data collection tool was a researcher-made questionnaire whose validity and reliability were confirmed. The Bayesian structural equation modeling was used to analyze the data. The results of the research quantitative phase showed that the variables of financial capital, physical capital, social capital, coping and adaptation strategies, human capital and natural capital were the most effective variables on village-cooperative initiative members' sustainable livelihoods, respectively. Finally, a hybrid model based on the qualitative and quantitative studies was designed and suggestions were made; for instance, the creation of suitable grounds for off-farm activities such as rural industries and ecotourism.

Methods of air distant control for cadastral works in an agrocomplex

consider the technical-theoretical side of the work of neural networks on examples get acquainted with different methods of landing and understand their features, their possibilities and disadvantages compared to the standard methods of using manned vehicles. We will tell you about the method of improving the work of neural networks. We will introduce you to the features and importance of using air vehicles in rural industries and local supply organizations in order to improve the quality and speed of work.

Synergistic optimization of rural green eco-tourism industry chain under the support of information technology

Abstract At present, the full development of tourism and other tertiary industries has gradually become the economic driving force of the countryside, but the negative impact on the countryside environment is becoming more and more prominent. Therefore, achieving the synergy optimization of rural green ecology and the tourism industry is a problem that needs to be solved. In this paper, starting from the rural green ecological tourism information, through the analysis of the basic elements of tourism information and the sampling of tourism information data, we construct a data feature extraction sampling model based on distributed detection, which is used for the reconstruction of the collection of tourism information data to ensure the effectiveness of information processing. Utilizing the method of fuzzy clustering, mining tourism information data, establishing the data distribution function, and collecting tourism information data features. The model is applied in practice to predict the level of tourist consumption and the daily flow of tourists in tourist attractions, and the results show that the monthly consumption of tourists in the year of the study area is 44.08 yuan less than that of the previous year, so it is necessary to adjust the tourism policy to stimulate consumption. In the coupling coordination degree of informationization and tourism industry development, it is found that the index of informationization application level has a faster rate of improvement than other indexes, with an increase of 546.09% between 2017-2018, and the index data of industrial benefits basically achieve an annual increment, reaching 0.4215 in 2021.

Research on the Integration and Development of Cultural Creative Industry and Rural Tourism Industry in the Information Age

Abstract This paper constructs the innovative development model of cultural and tourism integration based on the digital development process of cultural and creative industries and the rural tourism industry under the background of informationization. Then, it analyzes the comprehensive development level, coupled and coordinated development characteristics, and regional differences of cultural and creative industries and rural tourism industries in the whole country and 7 regions by using the coupled and coordinated degree model. Finally, the effectiveness of the digital development model of cultural and tourism integration is analyzed through the multiple linear regression model, and the moderating effect of the digital development model of cultural and tourism integration on the regional service capacity, infrastructure, and economic development is explored in depth. The results show that for every 1 percentage point increase in the level of digitalized development of cultural and tourism integration, the employment in the regional tertiary industry increases by 1.5%, the level of infrastructure development increases by 1.6%, and the level of local economic development grows by 1.2%. This study enriches and improves the content framework of the research on the high-quality development of rural tourism and provides new analytical ideas for the research on the high-quality development of rural tourism and cultural and creative industries.

County-Level Financial Media Do a Good Job of “Local Specialties” Articles to Enable the Development of Rural Characteristics Industries

County-Level Financial Media Do a Good Job of “Local Specialties” Articles to Enable the Development of Rural Characteristics Industries

Analysis on the Path of Rural E-Commerce to Help Rural Cultural Industry Development

Analysis on the Path of Rural E-Commerce to Help Rural Cultural Industry Development

Influencing factors and extension mechanism of rural agricultural industry chain evolution in resettlement areas: A case study of Tuanjie Village, Xixia District, Ningxia

Influencing factors and extension mechanism of rural agricultural industry chain evolution in resettlement areas: A case study of Tuanjie Village, Xixia District, Ningxia

Unlocking Rural Revitalization through the Digital Economy: A Journey of Exploration

Digital economy, centered around information technology, encompasses digital content, digital industries, digital commerce, and represents a new global economic form. Its application can bring about new development opportunities and enhance efficiency. Rural revitalization is an important recent national strategy aimed at strengthening economic, social, and ecological aspects of rural development, promoting sustainable urban-rural integration. This involves the development of agriculture, rural infrastructure, the creation of beautiful rural landscapes, and ensuring the livelihood of rural residents. The digital economy plays a crucial role in rural revitalization, relying on information technology and employing digitalization, networking, and intelligence to drive industrial transformation, enhance efficiency, and promote innovation, thus forming a new economic model. Specifically in rural areas, the digital economy builds rural e-commerce platforms, offering new sales channels for farmers, creating smart agricultural ecosystems, establishing environmentally friendly foundations for sustainable agriculture, and upgrading rural financial services through digitization, optimizing the allocation of rural financial resources. This accelerates the digitization of rural tourism development and spurs the growth of surrounding rural service industries. Therefore, the digital economy holds significant practical importance for rural revitalization.

Research on the Path of "New Farmers" Short Video Assisting the Revitalization of Rural Cultural Industry

Research on the Path of "New Farmers" Short Video Assisting the Revitalization of Rural Cultural Industry

Integration of the rural revitalization strategy in the construction of rural elderly services in the information age

Abstract Aiming at the uncertainty of decision-making factors and the difficulty of quantifying various subjective and objective weights in the process of rural pension service quality evaluation, this paper proposes a rural pension service quality evaluation method combining improved interval AHP and CRITIC method based on indicator correlation at the level of rural revitalization strategy. The method is based on 5 guidelines and 11 common factors, comprehensively considers the influence of subjective and objective weights on the design scheme, introduces the interval number and triangular fuzzy number, and establishes the evaluation index system of rural elderly service. By utilizing the improved interval AHP and CRITIC method, the subjective and objective weights of each evaluation index can be calculated. The analysis is done by combining examples to explore the ecological niche of the senior care industry, the rural suitability for elderly people, and their expectations and perceptions of the service. From the market ecological niche, it can be seen that the result of the senior care manufacturing industry measure is 0.85, which contributes the most to the rural economy in rural revitalization. The travel, ecological landscape, living services, and socio-economic environment in rural areas are improved under the rural revitalization strategy, and the weighted scores of the four are 0.5528, 1.1524, 1.299, and 0.6031, respectively. According to the comprehensive results, the rural revitalization strategy has resulted in a noticeable increase in the rural aged-care industry and services.

Research on the Construction of Rural Innovation Industry Ecosystems from the Perspective of Value Co-Creation Theory

Research on the Construction of Rural Innovation Industry Ecosystems from the Perspective of Value Co-Creation Theory

A Study on the Comprehensive Effects of Rural Ecological Industry Development: A Case Study of Rural Areas in Xinyang, Henan Province

A Study on the Comprehensive Effects of Rural Ecological Industry Development: A Case Study of Rural Areas in Xinyang, Henan Province

Can integration of rural primary, secondary and tertiary industries promote agricultural green development? A case study of 579 counties in China's Yangtze River Economic Belt

Can integration of rural primary, secondary and tertiary industries promote agricultural green development? A case study of 579 counties in China's Yangtze River Economic Belt

Digital Rural Construction Empowers the Prosperity of Rural Industries—An Empirical Analysis Based on Counties in the Yangtze River Economic Belt

Digital Rural Construction Empowers the Prosperity of Rural Industries—An Empirical Analysis Based on Counties in the Yangtze River Economic Belt

The Impact of Dual Objective Optimization Model Combining Non-Dominated Genetic Algorithm on Rural Industrial Ecological Economy

The Impact of Dual Objective Optimization Model Combining Non-Dominated Genetic Algorithm on Rural Industrial Ecological Economy

The Model of “Internet and Intangible Heritage” Reviving Rural Industry – A Case Study of Chenghe Willow Weaving

Chenghe Willow Weaving, a traditional handicraft art with a long history, is an intangible cultural heritage in Hubei Province. It forms glorious cultural deposit and has great artistic value. Now, the continuation of Chenghe Willow Weaving not only injects new vitality into the local rural economy but also helps rural revitalization to a certain extent. However, it faces challenges such as difficulties in inheriting and promoting of the products, insufficient industrialization, poor ability in entrepreneurs’ innovation. Based on the booming Internet economy, after conducting an in-depth analysis of the developing state of Chenghe Willow Weaving and its bottlenecks, this article proposes a series of practical suggestions. Under the model of the combination between the Internet and the intangible heritage, it aims to promote the inheritance and innovation of Chenghe Willow Weaving. Specifically, it includes establishing professional production management team and subdivided production team, enriching brand culture, full use of Internet. It is believed that the industrial development of Chenghe Willow Weaving can be effectively promoted, achieving sustained prosperity of the rural economy. Also it is hoped that this will give some reference for other traditional handicraft industries.

Impact of digital inclusive finance development on rural industry revitalization—Observations of rural China

Impact of digital inclusive finance development on rural industry revitalization—Observations of rural China

A study on the impact of digital economy on driving up the income of rural residents in the context of big data

Abstract The digital economy is promoting rural development and rural residents’ income growth and realizing the improvement of supply efficiency and the change of factor power. In this paper, we first construct the measurement system of rural residents’ income level and digital economy development level, respectively, and then use big data technology to collect relevant data from 2013 to 2020 and calculate the development level of the two by using principal component analysis and entropy weight method respectively. Then, the level of digital economy development was taken as an explanatory variable. Rural residents’ income was taken as an explanatory variable. Empirical regression analysis was carried out to explore the impact of digital economy on the improvement of rural residents’ income. The mediation effect and regional heterogeneity test were carried out. The results show that the coefficients of the digital economy are always significant and all positive at a 1% level when control variables are added gradually, and the Sobel statistic of entrepreneurial activity is 0.061 and 0.045. This study provides theoretical support for the analysis of how the rural digital economy can promote the revitalization of rural industries and promote the commonwealth of farmers and rural areas.

The Impact of Fiscal Support for Agriculture on the Revitalization of Rural Industries - A Case from China

Abstract The low economic but high social benefits of rural industries necessitate increased fiscal investment for their development. This study looks at how fiscal support for agriculture affects the level of revitalization of rural industries. It does this by using panel data from 30 provinces from 2003 to 2021 and fixed effects, fixed effects instrumental variable models, and spatial econometric models. The study’s findings are outlined below: First, overall, fiscal support for agriculture has a positive effect on the revitalization of rural industries in China. Particularly since the Chinese government proposed the Rural Revitalization Strategy in 2017, this effect has strengthened. However, structurally, the impact is greater on the integration of agriculture > the quality of agriculture > the efficiency of agriculture > the technologization of agriculture. Second, the impact of fiscal support for agriculture varies across different regions. Fiscal investment in agriculture significantly promotes the revitalization of rural industries in major grain-producing areas, has no significant effect in major grain-selling areas, and has almost no effect in areas where production and sales are balanced. Third, fiscal support for agriculture exhibits spatial aggregation effects. However, this effect has diminished since 2012, when the Chinese government vigorously promoted industrial restructuring and accelerated the shift from labor-intensive to technology, capital, and knowledge-intensive industries. Fourth, local fiscal investment in agriculture has a stronger economic effect at the local level while reducing the agricultural production efficiency of surrounding areas. Therefore, it is necessary to adjust the structure of fiscal expenditures, adopt differentiated fiscal support policies, adjust expenditure structures, and innovate and optimize policy tools and funding methods for fiscal support of rural revitalization.