Search

In rural China, farmers who have been “lifted out of poverty” still at risk of returning to poverty. The sustainable livelihood and risk coping ability of farmers are of great significance for rural development, and social networks have a distinctive effect on livelihood and risk coping ability of farmers. Based on full-coverage survey in a village, this paper adopts the entropy weight method, Social Network Analysis, and aims to build a social network model and reveal the impact of social networks on farmer’s livelihood and risk coping ability. The results show that the farmers’ livelihood capital based on social network has a significant amplification. Furthermore, social relationships can directly affect farmers’ ability to cope with livelihood risks. And, for farmers with higher social, information, human and financial capital, the effectiveness of social networks in enhancing their risk coping capacity is more significant. Overall, it is suggested that more attention should be paid to the positive role of social networks on the livelihood in the future. For rural development, social relationship networks should be continuously enriched and to strengthen its multiplier effect on farmers’ livelihood. And for farmer development, it should take measures to improve the mobilising capacity of social relations. And to amplify the effectiveness of various types of livelihood capital in risk response. [ABSTRACT FROM AUTHOR]

Under the dynamics of urbanization and counterurbanization, rural areas in China face both challenges and opportunities with the government's new-town policy. A comprehensive analysis is essential for developing effective strategies. Characterized by traditional water settlements and high ecological sensitivity, Anxin County, which encompasses 50% of Baiyangdian Lake, was selected as a case study. Anxin County was incorporated into the National New Area in 2017, and it served as an experimental site for green ecological development. This study aims to provide insights into the sustainable spatial planning of Anxin County's settlements by examining their long-term evolution and locational differences, modeling the driving mechanisms, and proposing differentiated spatial planning strategies based on predictive outcomes. Our research findings indicate the folllowing: (1) Anxin County's settlements have expanded significantly in the past, with a notable surge between 1975 and 1996. Initially, semi-waterside settlements experienced the fastest growth before the 1970s, followed by land settlements. (2) Natural and socio-economic factors are modeled as independent variables to explain the evolution of settlement areas. The results indicate a decreasing impact of natural factors and an increasing influence of socio-economic factors over time. Furthermore, the evolution of settlements in water areas is relatively straightforward and random, whereas land settlements are influenced by a complex array of factors. (3) Utilizing the model to predict settlement growth, the study identifies settlements requiring relocation, and it proposes the most suitable relocation targets for them. A total of 23 villages, including Bei Tianzhuang and Cai Putai, are identified for relocation, while villages such as Ma Village, Bian Village, and Liu Lizhuang have strong capacities for accepting in-migrants. The study also offers recommendations for enhancing waterfront landscapes, flexible land use, road network systems, and internal construction. [ABSTRACT FROM AUTHOR]

In China, the Innovation Demonstration Zone for the National Sustainable Development Agenda is a key initiative for executing the United Nations (UN) 2030 Agenda for Sustainable Development. The Zone also plays critical roles in addressing the developmental bottlenecks that China faces and sharing Chinese insights into global sustainable development efforts. On July 15, 2022, the State Council endorsed the Zone’s establishment in Zaozhuang City, Shandong Province, where it focuses on innovation-led sustainable development in rural areas. Research into the levels, impediments, interdependencies, and evolutionary trends of rural sustainable development is crucial. Therefore, this research aimed to assist in comprehensively assessing developmental challenges and facilitating the harmonious advancement of social, economic, and environmental aspects in rural areas. In pursuit of the three fundamental dimensions of the UN’s Sustainable Development Goals (SDGs), namely development’s drivers, quality, and equity, this study was grounded in China’s national Rural Revitalization Strategy and the demands of sustainable development strategies. It also aligns with the UN 2030 Agenda for Sustainable Development and the associated SDG indicators. Focusing on four key areas, namely production elements, natural elements, social elements, and rural governance, this study developed an evaluation index system for assessing the level of rural sustainable development. It employed a range of analytical models, including the game theory-based combination empowerment method, barrier degree model, coupling degree model, coupling coordination degree model, and gray prediction GM(1,1) model, to analyze the status and evolving trends of rural sustainable development in Zaozhuang City from 2015 to 2022. The key findings were as follows: ① Relative to the baseline year 2015, the sustainable development level in Zaozhuang’s rural areas has shifted toward an improved state overall. ② The primary barrier to achieving rural sustainable development in Zaozhuang is the city’s rural governance system. ③ While the components of rural sustainable development in Zaozhuang are in the early stages of both basic and moderate coordination, an overall enhancement has occurred in their integrative coordination. ④ Between 2023 and 2025, the level of integrative coordination in Zaozhuang is expected to rise steadily. However, reaching a state of advanced coordination will require additional time for development.

Enhancing rural resilience is crucial due to the significant vulnerabilities faced by rural areas, such as weak economic foundations, scarce resources, and deficient infrastructure. This paper aims to provide a comprehensive review of rural network resilience (RNR) to underscore its importance in understanding the mechanisms and pathways of rural sustainable development. To establish the theoretical foundations of RNR, we trace the evolution of resilience concepts and their applications across disciplines. The proposed analytical framework integrates evaluation methods from network science to assess RNR's structural characteristics and outlines simulation techniques for predicting resilience under various risk scenarios. Furthermore, the paper examines the key influencing factors that shape RNR within complex rural regional systems, exploring the intricate evolutionary mechanisms involved. To bridge existing research gaps, a synergistic development perspective is introduced, emphasizing the interconnected, multi-layered nature of rural networks across societal, economic, and ecological domains. Additionally, a county-level analytical framework tailored for county-level rural resilience analysis is presented to offer strategic guidance for enhancing RNR and driving sustainable rural revitalization. This transdisciplinary synthesis propels RNR as an emerging field with significant policy implications. [ABSTRACT FROM AUTHOR]

Sustainability has become an extensive concern in biological and social research. As for urban–rural development, narrowing the disparities between urban and rural areas and leading to urban–rural integration is a tendency of urban–rural development worldwide and an inevitable way to create a sustainable human society. China is in a critical stage of significant challenges and opportunities with a scale and pace unique in history. Although some studies have begun to focus on sustainable urban and rural development, they have often neglected to assess issues related to rural areas. China has undergone the adjustment of rural structure and development policies, and the sustainable development of rural areas should be given enough attention. This study constructs a system of indicators related to rural public resources, aiming to assess whether there are distributional inequalities in spatial allocation. The calculations show that: (1) China's rural public resources allocation coefficient is stable at 0.2 to 0.3 at the national level. (2) Even under policy support, a significant decline rate change still occurs. (3) Western education resources are allocated relatively compared with eastern provinces, but resources are rarely in medical and social security. China has implemented a firm macro-control policy regarding resource allocation in rural areas. Furthermore, the government should continue to increase investment in human resources and public facilities to adjust regional differences. This paper analyzes the allocation structure of rural resources based on China's new policy theory. It has opened a new path in sustainable rural development governance and public resource allocation to provide constructive suggestions for sustainable rural development in China and other developing countries. [ABSTRACT FROM AUTHOR]

Rural settlements serve as the fundamental spatial unit in rural geography research and play a significant role in regional system research on human‒land relations. With the accelerated advances in urbanization, industrialization, and agricultural modernization, the flow of urban and rural development factors has greatly changed the social and economic forms of rural areas, further seriously restricting the sustainable development of rural economies and societies. The spatial patterns of rural settlements serve as tangible reflections of rural living and the evolution of settlement structures, directly influencing the sustainable development of rural areas and the construction of rural human settlements. Despite the increasing number of relevant studies, a comprehensive review of the field’s dynamic evolution, research frontiers, and future development trajectories remains incomplete. On the basis of the Web of Science core database, this study used CiteSpace 6.2 R4 and VOS Viewer 1.6 software to perform a full systematic review of the literature on rural settlement spatial morphology from 2000 to 2024. The goal was to determine the current state of the research, where researchers are most active, and what major ideas and trends can be expected in the field of rural settlement spatial patterns. The results indicate that (1) the spatial patterns of rural settlements are a popular topic, integrating different disciplines and covering various themes, with close regional cooperation and a growing number of publications. At the national level, China, the United States, and France lead in research output and influence in this field. (2) The main research hotspots in the field include rural residential areas, spatial organization, land use, driving mechanisms, and regional systems, all of which are related to rural sustainable development. (3) Future research trends will likely focus on the response of rural settlement spatial patterns to new urbanization processes and social contexts. The findings provide a comprehensive overview of the evolution of research hotspots, aiding researchers in related fields in quickly grasping the research frontiers and summaries.

Under the dynamics of urbanization and counterurbanization, rural areas in China face both challenges and opportunities with the government’s new-town policy. A comprehensive analysis is essential for developing effective strategies. Characterized by traditional water settlements and high ecological sensitivity, Anxin County, which encompasses 50% of Baiyangdian Lake, was selected as a case study. Anxin County was incorporated into the National New Area in 2017, and it served as an experimental site for green ecological development. This study aims to provide insights into the sustainable spatial planning of Anxin County’s settlements by examining their long-term evolution and locational differences, modeling the driving mechanisms, and proposing differentiated spatial planning strategies based on predictive outcomes. Our research findings indicate the folllowing: (1) Anxin County’s settlements have expanded significantly in the past, with a notable surge between 1975 and 1996. Initially, semi-waterside settlements experienced the fastest growth before the 1970s, followed by land settlements. (2) Natural and socio-economic factors are modeled as independent variables to explain the evolution of settlement areas. The results indicate a decreasing impact of natural factors and an increasing influence of socio-economic factors over time. Furthermore, the evolution of settlements in water areas is relatively straightforward and random, whereas land settlements are influenced by a complex array of factors. (3) Utilizing the model to predict settlement growth, the study identifies settlements requiring relocation, and it proposes the most suitable relocation targets for them. A total of 23 villages, including Bei Tianzhuang and Cai Putai, are identified for relocation, while villages such as Ma Village, Bian Village, and Liu Lizhuang have strong capacities for accepting in-migrants. The study also offers recommendations for enhancing waterfront landscapes, flexible land use, road network systems, and internal construction.

Traditional agricultural landscapes are heavily exposed to change due to their relatively low agricultural productivity. However, they represent cultural values of great importance in maintaining the resilience of the environment and society. Although their cultural potential is important for sustainable development, it is still insufficiently recognized. The article fills this gap by examining old farmstead buildings as a distinguishing element of the agricultural landscape. The study was conducted in Poland in the area of farm settlements in Kashubia. A spatial database and archival maps were used for comparison of the spatial distribution and the number of farmsteads and buildings in 1937 and 2020. The types of settlements in the selected area of research were recorded and classified. The results obtained from the study may support the spatial planning and local management of agricultural areas for the purpose of preserving rural identity and economy. [ABSTRACT FROM AUTHOR]

Sustainable development is the central theme of modern global development. With the arrival of the urban era, the vulnerability and instability of rural areas have significantly increased, and rural sustainable development faces serious challenges. To address these issues, the study took the Zaozhuang Innovation Demonstration Zone in China under the National Sustainable Development Agenda as a case, combined with 2016–2020 economic and social and land use data, and applied Granger causality test method to explore the theoretical and practical pathways of “innovation-driven rural sustainable development”. The results showed that rural sustainable development and economic sustainability displayed a trend of synergistic change, with “explosive” growth from 2018 to 2020. The social sustainability steadily increased from 2016 to 2020. Ecological and spatial sustainability continuously declined during the study period. Moreover, the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone displayed rapid growth during 2016–2020. Although the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone has rapidly improved, it has a weak driving effect on rural sustainable development and economic sustainability. There are two primary challenges that must be overcome to ensure the rural sustainable development of the Zaozhuang Innovation Demonstration Zone. The first challenge is the imbalance among the multi-dimensional relationships in the process of rural sustainable development, and the second challenge is the weakening of rural innovation capacity to drive rural sustainable development. To overcome these challenges, this study proposed a systematic pathway for rural sustainable development in the Zaozhuang Innovation Demonstration Zone from multi-dimensions, such as policy actions, technologies, projects, and institutional guarantees, and formed a universal and representative “Zaozhuang model”. This study expands the theoretical foundation of rural sustainable development and provides theoretical and practical support for innovation-driven rural sustainable development.

Introduction: Planning for proper waste management and attention to its harmful effects on the environment in any country is one of the most important and necessary principles to provide long-term benefits and move towards sustainable development. The overall purpose of this study was to analyze the barriers to rural waste management in the central part of Urmia. In order to get a comprehensive understanding of the obstacles, problems and limitations that have caused the unfavorable management of rural waste in the studied area.Material and methods: The research was applied in terms of purpose and data were collected in the field. The statistical population of the study included all villagers in the central part of Urmia city, in which rural waste management was performed (N = 136). The questionnaire was the main research tool that was designed using content review and interviews with experts and faculty members of the university. To evaluate its reliability, 30 questionnaires were completed and the Cronbach's alpha value was 0.91, which indicated the acceptable reliability of the questionnaire. Data analysis was performed using SPSS software and exploratory factor analysis technique.Results and discussion: The results of factor analysis showed that rural waste management barriers in six groups of educational-cultural barriers (variance dimension 18.13), health-environmental (variance dimension 18.06), knowledge (variance dimension 12.53), environmental (variance dimension 10.96), disposal management (variance dimension 10.24) and equipment (variance dimension 6.92) were classified as 76.84% of the total variance changes related to rural waste management barriers in the study area. In prioritizing the items of educational-cultural obstacles, the absence of the required culture regarding less consumption was the first rank. In terms of health-environmental obstacles, leaving and disposing of waste by villagers in the nearest place (on roads, along rivers, on the side of roads, etc.) and the occurrence of parasitic diseases for the villagers, was the first rank. In terms of knowledge barriers, lack of awareness and low knowledge of the villagers regarding the economic value of reusing agricultural residues was the first rank. In the disposal management factor, the lack of a separation plan at the source and as a result mixing wet, dry and special waste together was the first rank. Regarding the environmental factor, the presence of verminous insects and rodents and their increase at certain times of the year at the disposal site and roads until the time of garbage collection, was ranked first and finally among the factor factors. equipment, lack and lack of conversion industries for reuse of waste and agricultural residues, took the first place.Conclusion: Empowering people through awareness, information and education using appropriate tools in the field of waste management can be helpful and practical. Coherent and purposeful management for waste management and success in improving environmental issues in the study area requires specific methods and strategic plans. Therefore, it is necessary to take the necessary planning and measures in this regard. It is also recommended to use the participation of people and NGOs to separate at the source and to organize informal activities of collection and recycling of materials in recycling programs, while it is necessary for municipalities, organizations and affiliated bodies. Assist the government in providing the facilities and equipment needed for rural waste management.

The development of rural areas usually has a positive impact on the urban-rural integration. This study explores an innovative approach to stimulate rural development by proposing qualified villages as central villages that can provide basic urban services for their residents and residents of neighboring villages. This approach can contribute to overcoming the various problems that rural areas faced at the social, economic, and environmental levels. It seeks to achieve spatial sustainability of rural areas, representing a new approach by integrating urban development methods to revitalize rural villages. The study analyzed 15 villages in Abbasiya District of AL Kufa City in the Najaf Governorate of Iraq. Based on the GIS techniques and the analysis of urban service indicators (village population, percentage of urban building materials used in villages, distance between village and health centers, distance between village and main roads, nature of economic activity, distance between village and educational institutions, distance between village and drinking water sources, number of communication towers, and distance between village and urban administrative center), this study proposed that Abu Gharb and Albu Ghraib can served as central villages in Abbasiya District in the future. This study establishes a new rural spatial structure to achieve rural sustainable development, improves the development status of rural areas, and provides a theoretical basis for the government and relevant institutions to use urban service indicators achieving rural sustainable development and formulating relevant development policies in Abbasiya District.

Geographical Indications (G.I.s) mean a particular product belonging to a specific Geographical Environment, having a specific traditional knowledge which separates it from similar looking products. Certification is beneficial to both the producer as it can ensure him a premium price and the consumer as it generates the willingness to pay higher on quality assurance.GI also facilitates rural sustainable development as its uniqueness generates conservation of the resources in the concerned community. Bibliometric analysis is the scientific analysis of all the academic work done pertaining to a certain topic under study. It streamlines all the work done in a specific field and is also helpful in highlighting the areas where to focus for research. The main objective of this paper is to study the trend of development of the topic through the analysis of the entire academic work done. Data for the period from 2001 to 2021 was collected from web of science database and analyzed by using R package and VOS viewer software. Overall, 194 research papers were shortlisted. GI certification prevents commercial fraud, it ensures Bio-diversity conservation. Academic contribution has been maximum in the year 2019. Most relevant sources were Sustainability, British food journal. Among the most relevant keywords, frequency of words like Geographical Indications, quality, terroir, food, governance, certification, etc were on the higher side. Europe and USA dominate in certifications and contributions to GI Tagging followed by some developing countries like India, Mexico, Brazil. This study holds great relevance to people from all dimensions of life. There is a need to increase research in this area. The study will suggest several new dimensions to research which will be very much beneficial for the academicians, policy makers and particularly the rural community.

Introduction: Planning for proper waste management and attention to its harmful effects on the environment in any country is one of the most important and necessary principles to provide long-term benefits and move towards sustainable development. The overall purpose of this study was to analyze the barriers to rural waste management in the central part of Urmia. In order to get a comprehensive understanding of the obstacles, problems and limitations that have caused the unfavorable management of rural waste in the studied area. Material and methods: The research was applied in terms of purpose and data were collected in the field. The statistical population of the study included all villagers in the central part of Urmia city, in which rural waste management was performed (N = 136). The questionnaire was the main research tool that was designed using content review and interviews with experts and faculty members of the university. To evaluate its reliability, 30 questionnaires were completed and the Cronbach's alpha value was 0.91, which indicated the acceptable reliability of the questionnaire. Data analysis was performed using SPSS software and exploratory factor analysis technique. Results and discussion: The results of factor analysis showed that rural waste management barriers in six groups of educational-cultural barriers (variance dimension 18.13), health-environmental (variance dimension 18.06), knowledge (variance dimension 12.53), environmental (variance dimension 10.96), disposal management (variance dimension 10.24) and equipment (variance dimension 6.92) were classified as 76.84% of the total variance changes related to rural waste management barriers in the study area. In prioritizing the items of educational-cultural obstacles, the absence of the required culture regarding less consumption was the first rank. In terms of health-environmental obstacles, leaving and disposing of waste by villagers in the nearest place (on roads, along rivers, on the side of roads, etc.) and the occurrence of parasitic diseases for the villagers, was the first rank. In terms of knowledge barriers, lack of awareness and low knowledge of the villagers regarding the economic value of reusing agricultural residues was the first rank. In the disposal management factor, the lack of a separation plan at the source and as a result mixing wet, dry and special waste together was the first rank. Regarding the environmental factor, the presence of verminous insects and rodents and their increase at certain times of the year at the disposal site and roads until the time of garbage collection, was ranked first and finally among the factor factors. equipment, lack and lack of conversion industries for reuse of waste and agricultural residues, took the first place. Conclusion: Empowering people through awareness, information and education using appropriate tools in the field of waste management can be helpful and practical. Coherent and purposeful management for waste management and success in improving environmental issues in the study area requires specific methods and strategic plans. Therefore, it is necessary to take the necessary planning and measures in this regard. It is also recommended to use the participation of people and NGOs to separate at the source and to organize informal activities of collection and recycling of materials in recycling programs, while it is necessary for municipalities, organizations and affiliated bodies. Assist the government in providing the facilities and equipment needed for rural waste management. [ABSTRACT FROM AUTHOR]

This article presents an analysis of rural sustainability in the Poles of Territorial and Rural Equilibrium (PETR) in Occitania, France, using the Rural Sustainability Index (RSI) as a statistical inference tool. It was constructed based on the dimensions of sustainable development: Social, Economic, Environmental, and Institutional. The methodology used in this research is quali-quantítatíve, bibliographical, and documental, based on secondary data provided by the French government. The results revealed that by the year 2022, half of the productive communities had a positive performance and half had to optimize efforts towards sustainability, with the best overall performances occurring in the Environmental, Social, and Institutional dimensions, with the Economic dimension showing the greatest potential for improvement. The RSI presents itself as a relevant tool to support the formulation of public policies for rural development, as it allows for reliable comparability between locations, regardless of their economic or population size. [ABSTRACT FROM AUTHOR]

The economic and social transition toward modernization is characterized by a massive outflow of rural labor, which raises problems such as rural job–housing separation and rural decline. Few studies have used rural labor employment microdata to quantitatively analyze the degree of separation between housing and jobs in different types of villages, especially in ecologically fragile mountainous and hilly regions. This article is based on a 2021 survey of 6181 rural households in 158 villages of Chongqing, a mountainous and hilly region of China, and divides villages into city edge, suburban, and outer suburban villages. In this study, the separation degree of housing–jobs (SDHJ) measurement model was created in order to explore the degree of separation between rural jobs and housing in terms of space–time dimension separation in these areas, and the different job–housing separation characteristics under different village types were distinguished. The results show the following. (1) The county's rural SDHJ has a clear regional differentiation law, and the degrees of separation between housing and jobs in all counties are in the following order: main urban area < northeast of Chongqing < southeast of Chongqing. The degree of separation between housing and jobs presents a spatial pattern of "medium–low perimeter high, local prominence" according to both the degree of temporal separation and the degree of spatial separation. (2) The degrees of separation between housing and jobs in various village types are in the following order: urban fringe villages < suburban villages < outer suburban villages. The distance effect was verified. The SDHJ is typically low in urban fringe villages and moderate in suburban villages, with distinct geographical disparities in labor distribution. The SDHJ is typically higher in the outer suburban villages, where laborers choose long-term long-distance employment. (3) This study proposes some countermeasures that could reduce the SDHJ for different types of villages. The findings have important policy implications for China's mountainous rural development and serve as a model for other developing countries. [ABSTRACT FROM AUTHOR]

The rapid application of digital technology in rural areas has been carried out worldwide, but academic research on the theme of digital villages is still in its infancy. The academia is still unclear about the construction content, theoretical framework and realization path of the digital village construction. Against this background, this paper studies how villages can transform into digital villages and achieve a sustainable development. Firstly, this paper builds a digital village technology architecture system from four levels: infrastructure system, village brain, application support system and application service system. The system points out the specific construction content from the technical point of view, and provides scientific guidance for construction activities. Secondly, with the help of digital empowerment theory, the theoretical framework of the digital village construction to promote a sustainable rural development, is constructed from five fields: industry, ecology, culture, service and governance. Finally, the theoretical framework is verified through five Chinese cases, and two characteristics of a digital village construction are summarized to provide reference and guidance for digital village practice activities. The digital village construction should use data, digital technology and digital platform as the base, attract multiple subjects to participate and form symbiotic relationships, and achieve a rural sustainable development. [ABSTRACT FROM AUTHOR]

Biomass carbon is a highly aromatic carbonaceous solid obtained by thermochemical reaction of biomass raw materials. It is frequently used in the research and application of soil properties and states improvement. Biomass carbon has abundant porous structure, high specific surface area and surface functional groups. After being applied to the soil, it has a significant impact on manipulating the physichemical properties of the soil, enhancing the microbial environment and remediating soil pollutants, which is conducive to the resource utilization of agricultural wastes and the long-term preservation of the environment. Based on 328 moderately to highly relevant literatures on biomass carbon and rural soil property improvement since 2010, this paper reviewed the contemporary research progress of biomass carbon application in soil property improvements utilizing the concept of sustainable development. In order to provide beneficial illumination for the complete implementation of biomass carbon in improving rural soil properties, this paper primarily evaluated the principle as well as mechanism of promoting sustainable soil properties. It tends to prospect the application and development aspirations of biomass carbon in soil ecological restoration, crop growth, development.

Copyright of Revista Retratos de Assentamentos is the property of Revista Retratos de Assentamentos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Peasants are producers and the direct stakeholders of rural environmental problems, and also the core subject of the comprehensive rural ecological improvement. However, in the current mode of rural environmental governance, the government takes the dominant role, with low participation of peasants. Based on the representative micro-survey data of China, and from the perspective of the psychosocial effects of the peasants’ self-identification, this research made use of instrumental variables and generalized structural equation mode (GSEM) to explore the reason behand this phenomenon. The research shows that, first, at present Chinese peasants have a low degree of self-identification, and self-identification has a remarkable and positive stimulating effect on the participation of peasants in rural ecological improvement; second, heterogeneity analysis shows that self-identification is a stronger incentive for peasant groups with female offspring and rural families with relatively higher incomes in the participation of rural environmental improvement, and is a less remarkable incentive for rural families with relatively low incomes; and third, the mediation model results indicate that social fairness and social capital are important mediating paths with which self-identification influences the participation of peasants in rural environmental improvement, and the exertion of the stimulating effect of self-identification on the participation in rural environmental improvement is inseparable from the coordination and integration of the perception effect of peasants as the behavioral subject in terms of social fairness, and is still more inseparable from the support of corresponding social capital. What we’ve discovered means that the enhancement of self-identification of peasants by strengthening the construction of public cultural services and cultural guidance in rural area is the crucial element to motivate the peasants to participate in rural environmental improvement so as to realize sustainable rural development.

The economic and social transition toward modernization is characterized by a massive outflow of rural labor, which raises problems such as rural job–housing separation and rural decline. Few studies have used rural labor employment microdata to quantitatively analyze the degree of separation between housing and jobs in different types of villages, especially in ecologically fragile mountainous and hilly regions. This article is based on a 2021 survey of 6181 rural households in 158 villages of Chongqing, a mountainous and hilly region of China, and divides villages into city edge, suburban, and outer suburban villages. In this study, the separation degree of housing–jobs (SDHJ) measurement model was created in order to explore the degree of separation between rural jobs and housing in terms of space–time dimension separation in these areas, and the different job–housing separation characteristics under different village types were distinguished. The results show the following. (1) The county’s rural SDHJ has a clear regional differentiation law, and the degrees of separation between housing and jobs in all counties are in the following order: main urban area < northeast of Chongqing < southeast of Chongqing. The degree of separation between housing and jobs presents a spatial pattern of “medium–low perimeter high, local prominence” according to both the degree of temporal separation and the degree of spatial separation. (2) The degrees of separation between housing and jobs in various village types are in the following order: urban fringe villages < suburban villages < outer suburban villages. The distance effect was verified. The SDHJ is typically low in urban fringe villages and moderate in suburban villages, with distinct geographical disparities in labor distribution. The SDHJ is typically higher in the outer suburban villages, where laborers choose long-term long-distance employment. (3) This study proposes some countermeasures that could reduce the SDHJ for different types of villages. The findings have important policy implications for China’s mountainous rural development and serve as a model for other developing countries.

Realizing the ecological value of rural areas through industrial development is an indispensable pathway of global rural sustainable development. However, it is still unclear how to choose efficient rural industrial development modes (RIDMs) for ecological value realization in rural areas due to the lack of quantitative measures. In this study, a quantitative measurement is proposed to identify the RIDMs and evaluate their capability of realizing the ecological value in 2, 090 counties of China. The results show that the modernization of planting industry and integration of primary, secondary, and tertiary industries are the two most prevalent RIDMs in rural China, while the integration of agriculture and tourism and ecological tourism are the two most ecologically efficient RIDMs. Besides, the ecological value of rural China (63.11 trillion yuan) is much higher than its economic value produced (50.43 trillion yuan) in 2020, and their spatial distributions are mismatched. The western region of rural China has an enormous ecological value but create a low economic output. Our findings highlight the importance of realizing the vast ecological value of rural areas through effective RIDMs to promote the rural sustainable development in China and other developing countries. • A quantitative method is proposed to identify the rural industrial development modes (RIDMs) in China. • Modernization of planting industry and integration of three industries are the two most prevalent RIDMs in China. • Integration of agriculture and tourism and ecological tourism are the two most ecologically efficient RIDMs in China. • The ecological value of rural China is much higher than its economic value, and their spatial distributions are mismatched. [ABSTRACT FROM AUTHOR]

From the perspective of sustainable development and based on literature review, this paper introduces modified Delphi and Decision Making and Trial Evaluation Laboratory (DEMATEL) to explore the critical factors of sustainable development in rural areas and their correlation. Through literature review and modified Delphi analysis, nine key factors of rural sustainable development are first identified, namely industrial activation, working environment, living conditions, infrastructure, public involvement, rural culture, government-related departments, educational resources, and health and welfare. DEMATEL is then adopted to determine the classification of the aforementioned factors, in which four (government-related departments, public involvement, infrastructure, and educational resources) are classified in the cause group and five (health and welfare, living conditions, rural culture, working environment, and industrial activation) are classified in the effect group. According to the centrality and relation of these factors, the causal network diagram is finally drawn before making practical suggestions based on the overall results, with a view to providing a reference for decision-makers in their follow-up rural sustainable development planning.

Biomass carbon is a highly aromatic carbonaceous solid obtained by thermochemical reaction of biomass raw materials. It is frequently used in the research and application of soil properties and states improvement. Biomass carbon has abundant porous structure, high specific surface area and surface functional groups. After being applied to the soil, it has a significant impact on manipulating the physichemical properties of the soil, enhancing the microbial environment and remediating soil pollutants, which is conducive to the resource utilization of agricultural wastes and the long-term preservation of the environment. Based on 328 moderately to highly relevant literatures on biomass carbon and rural soil property improvement since 2010, this paper reviewed the contemporary research progress of biomass carbon application in soil property improvements utilizing the concept of sustainable development. In order to provide beneficial illumination for the complete implementation of biomass carbon in improving rural soil properties, this paper primarily evaluated the principle as well as mechanism of promoting sustainable soil properties. It tends to prospect the application and development aspirations of biomass carbon in soil ecological restoration, crop growth, development., Competing Interests: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Yang.)

The quality of the environment should be measured by the satisfaction of the public and guided by the issues of public concern. With the development of the internet, social media as the main platform for people to exchange information has become a data source for planning and management analysis. Nowadays, the rural catering industry is becoming increasingly competitive, especially after the pandemic. How to further enhance the competitiveness of the rural catering industry has become a hot topic in the industry. From the perspective of consumers, we explored consumers' preferences in a rural outdoor dining environment through social media data. The research analyzed the social media data through manual collection and object detection, divided the landscape of the rural outdoor dining environment into eight categories with 35 landscape elements, and then used BP (Back Propagation) neural network nonlinear fitting and least square linear fitting to analyze the 11,410 effective review pictures from eight rural restaurants' social media comments in Chengdu. We derived the degree of consumer preference for the landscape quality of the rural outdoor dining environment and analyzed the differences in preference among three different groups (regular customers, customers with children, and customers with the elderly). The study found that agricultural resources are an important factor in the competitiveness of rural restaurant environments; that children's emotions when using activity facilities can positively influence consumers' dining experiences; that safety and hygiene environment are important factors influencing the decisions of parent-child dining; and that older people are more interested in outdoor nature, etc. The research results provide suggestions and knowledge for rural restaurant managers and designers through human-oriented needs from the perspective of consumers, and clarify the preferences and expectations of different consumer groups for rural restaurant landscapes while achieving the goal of rural landscape protection.

From the perspective of sustainable development and based on literature review, this paper introduces modified Delphi and Decision Making and Trial Evaluation Laboratory (DEMATEL) to explore the critical factors of sustainable development in rural areas and their correlation. Through literature review and modified Delphi analysis, nine key factors of rural sustainable development are first identified, namely industrial activation, working environment, living conditions, infrastructure, public involvement, rural culture, government-related departments, educational resources, and health and welfare. DEMATEL is then adopted to determine the classification of the aforementioned factors, in which four (government-related departments, public involvement, infrastructure, and educational resources) are classified in the cause group and five (health and welfare, living conditions, rural culture, working environment, and industrial activation) are classified in the effect group. According to the centrality and relation of these factors, the causal network diagram is finally drawn before making practical suggestions based on the overall results, with a view to providing a reference for decision-makers in their follow-up rural sustainable development planning. [ABSTRACT FROM AUTHOR]