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Higher education monitoring evaluation is a process that uses modern information technology to continually collect and deeply analyze relevant data, visually present the state of higher education, and provide an objective basis for value judgments and scientific decision making by diverse bodies Higher education monitoring evaluation is data-intensive evaluation with the features of intensive temporal scales, diverse spatial scales, and multiple value scales, and its purpose is to serve continual improvements, scientific decision making, and diverse judgments. Monitoring evaluation is a result of applying modern information technology in the field of higher education evaluation and a product of adapting to systemic changes and governance reforms in higher education.

As the largest developing country, China has permanently attached great importance to cultivated land protection. However, due to the different rules of cultivated land identification in the second and third national land surveys, the cultivated land area in the two surveys has changed greatly. Some agricultural lands in the south, such as plantations, forests, grasslands, aquaculture ponds, etc., belonged to cultivated land during the second survey, but they were identified as non-cultivated land in the third national land survey. This change has led to a sharp reduction in the area of cultivated land in some places. In order to calculate the actual change in the area of cultivated land since the second survey and provide a reasonable basis for the standard of cultivated land protection, this paper takes Gaochun District, a developed area in China, as an example; interprets the images of the second national land survey period with the deep learning network HRNet; and compares the results with the second and third national land survey rules. The results show that the actual reduction of cultivated land in Gaochun District in the past ten years accounts for 35.1% of the reduction of cultivated land in the two land surveys, while the reduction of cultivated land caused by the change of cultivated land identification rules accounts for 64.9% of the reduction of cultivated land in the two land surveys, indicating that the significant reduction in local cultivated land was mainly caused by the changes in the rules, and these cultivated land reduction behaviors existed before the second survey. [ABSTRACT FROM AUTHOR]

The diverse value of rural areas has been gradually highlighted, and promoting the sustainable development of rural areas with the theoretical guidance of rural multifunction is the key to realizing rural revitalization. This study defined the concept of rural multifunction from the perspective of resident's demands and divided it into five main functions including rural agricultural production, nonagricultural production, living, ecological environment, and social security. By constructing the evaluation index system of rural multifunction, we analysed the spatial distribution characteristics of 160 villages of Jingjiang in Jiangsu Province. And functional combinations were identified to select targeted rural development paths oriented by balanced development of rural multifunction. The results showed the following. (1) The development of various rural functions in Jingjiang city was uneven, and agricultural production function still dominated. (2) The villages with strong agricultural production function were mainly concentrated in the northwest, while the villages with a high level of nonagricultural production function were mostly distributed in the industrial parks or around towns. There is still much room for improvement in social security function, especially in areas dominated by nonagricultural production. Nonagricultural production function had a negative effect on the ecological environment function, which is contrary to the agricultural production function. (3) Balanced development rather than equal development of rural functions should be pursued to achieve multifunctionality. Scientific guidance for the functional growth of villages in Jingjiang city and theoretical support for the microscale evaluation of rural multifunction and its application were provided by the research results. [ABSTRACT FROM AUTHOR]

As an important representation of the evolution of the rural human–land relationship in the process of urban–rural transformation development, labor migration between rural and urban areas has become the core impetus for agricultural transformation in China's traditional farming areas. An in-depth analysis of the internal mechanism of the evolution of agricultural production patterns driven by rural–urban migration at different phases helps to find solutions for ensuring the sustainable development of the countryside. This paper analyzes the relationship between rural–urban migration and the evolution of the rural human–land relationship, then introduces the city power and the rural power in the push–pull theory, and finally establishes an interactive analysis framework for rural–urban migration and agricultural transformation. The results demonstrate that the part-time rural labor and the frequent rural–urban migration in Yucheng City are the normal conditions for the labor to participate in agricultural production; and the low registered population urbanization rate and the return of the elderly labor have become the main features of the rural–urban migration in the new era. Furthermore, the state of rural–urban migration in Yangqiao Village has become the impetus of the farmland use transition and homestead use change at the village level; the arrangement fragmentation of agricultural production and the change in traditional agriculture production modes are the important factors affecting agricultural transformation in Yangqiao Village. In the context of rural vitalization, agricultural transformation in traditional farming areas needs to pay more attention to the future livelihood systems of small peasants. It is important to promote rural transformation to create more employment opportunities based on local conditions and attract rural migrants to return to start businesses in the countryside. • Analysis framework about rural-urban migration and agricultural transformation is established based on 'push–pull' theory. • The effects of rural-urban migration on agricultural transformation in China's traditional farming areas are analyzed. • The low urbanization rate and the return of the elderly migrants become the main feature of the rural labor migration. • Creating employment opportunities and attracting return migrants to start businesses is important for rural vitalization. [ABSTRACT FROM AUTHOR]

In this paper, the artificial neural network (ANN) model was used to evaluate the degree of intensive urban land use in Nanjing City, China. The construction and application of the ANN model took into account the comprehensive, spatial and complex nature of urban land use. Through a preliminary calculation of the degree of intensive land use of the sample area, representative sample area selection and using the back propagation neural network model to train, the intensive land use level of each evaluation unit is finally determined in the study area. Results show that the method can effectively correct the errors caused by the limitations of the model itself and the determination of the ideal value and weights when the multifactor comprehensive evaluation is used alone. The ANN model can make the evaluation results more objective and practical. The evaluation results show a tendency of decreasing land use intensity from the core urban area to the periphery and the industrial functional area has relatively low land use intensity compared with other functional areas. Based on the evaluation results, some suggestions are put forward, such as transforming the mode of urban spatial expansion, strengthening the integration and potential exploitation of the land in the urban built-up area, and strengthening the control of the construction intensity of protected areas. [ABSTRACT FROM AUTHOR]

This paper draws upon smart growth theory to provide an analytical framework of "smart identification" for industrial land to be readjusted. Huai'an city, Jiangsu province, China, is selected as a case example for the developed framework. Unlike the identification method of efficiency orientation for stock industrial land, which emphasizes the core goal of input and output of production factors per unit area, the smart identification framework covers the five dimensions of industrial policy, urban planning, socioeconomic benefits, transportation convenience, and environment protection. The framework pays more attention to the characteristics of high-quality socioeconomic development, including innovation-driven, coordinated, and sustainable development. Industrial land blocks are used as the research unit. A total of 1,552 industrial land blocks are identified for readjustment, covering an area of 4,008.7 hm2 and accounting for 54.3% of the total industrial land area in Huai'an city; this shows that considerable potential exists for adjustment. We argue that the evaluation index selection of intensive industrial land use and the method by which industrial land is identified for readjustment is influenced by the stage of socioeconomic development. The smart identification method is more consistent with the connotation of high-quality development, and more conducive to revealing the current demand and change law of industrial land against the background of industrial transformation and upgrading, which is of great significance with regard to promoting the intensive use and spatial optimization of industrial land. [ABSTRACT FROM AUTHOR]

Over the past forty years, rural China has undergone dramatic spatial restructuring, and its production functions have gradually become diversified. However, although several studies have examined factors affecting the distribution of rural settlements in recent years, few have focused on rural production functions. To fill this gap, this paper proposes an analytical framework to understand the impact of rural production functions on the spatial distribution of rural settlements and quantitatively analyzes the rural areas of Taizhou municipality by using the bivariate Moran's I method at the township level. In general, the results show that the spatial distribution of rural settlements has different correlations with each type of rural production functions. The distribution has the strongest correlation with agricultural production functions, followed by the industrial manufacturing and service supply functions, while the weakest correlation is with the ecological leisure function. Further, in the high-value areas of the agricultural production function and the ecological leisure function, the distribution of rural settlements is discrete, with low density, a large scale, and a long distance. In contrast, in the high-value areas of the industrial manufacturing function and the service supply function, the distribution of settlements is clustered, with high density, a small scale, and a short distance. Based on the correlations, this paper sketches four types of ideal town-villages construction pattern to guide the optimization of rural settlements layout, including the productivist-oriented evenness pattern, the transit-oriented axis pattern, the idyll-oriented corridor pattern, and the urbanization-oriented integration pattern. This research provides scientific guidance for developing countries in the spatial planning of rural territories and the optimization of rural settlements. • Spatial heterogeneity of rural production functions is explored in the township level. • There are certain correlations between different rural production functions and spatial distribution of rural settlements. • The four ideal town-village construction patterns are presented, applied to the different dominant production function. • The implication for rural spatial planning is conducive to promoting rural vitalization. [ABSTRACT FROM AUTHOR]

Rural space development and value distribution are the material basis for sustainable rural development. Rural development problems in China's farming areas relate to limited space, unclear ownership, inefficient organization. Rural spatial governance takes material space and the spatial relationship as governance objects, combining the fair distribution of space with the participation of multi-stakeholders in rural development. This paper examines "matter–organization–ownership" governance path for rural areas, analyzing the efficiency of spatial governance, and investigating the "population, land, industry, and urban–rural relationship" transformation mechanism needed for rural development. We selected Xiangbu Village, a typical farming village, for empirical research to verify the internal relationship between spatial governance and rural development. Xiangbu Village has significantly improved its rural collective organization, public service ability, space asset value, and other aspects through multi-scale and multi-means governance paths. In Xiangbu Village, collective power and spatial governance reconstructed the multi-stakeholder structure of the village, transforming the spatial connection from weak to strong and improving the spatial and overall benefit structure. The process of rural spatial governance involving multi-stakeholders has promoted individuals' land rights claims, the participation of multi-stakeholders, and the will to return to start businesses in Xiangbu Village. The space rights reorganization process of public spatial governance in Xiangbu Village provided the economic, organizational, and material space foundation for industrial development. While spatial governance brings opportunities for village development, it also brings risks. The collective power supervision and restraint mechanisms are imperfect, and problems with the participation and coordination of the ternary forces of government, market, and society still need an urgent solution. • A conceptual model of rural spatial governance based on "matter–organization–ownership" path is constructed. • Investigating mechanism of "population, land, industry, urban–rural relationship" transformation drive rural development. • Coordinating the internal relationship between spatial governance and rural development in China's farming areas. • Combining "bottom-up" and "top-down" of rural spatial governance is the current alternative path for rural development. • China's rural development needs to carry out spatial governance based on its own conditions and foundation. [ABSTRACT FROM AUTHOR]

In the context of rural revitalization, it is of great significance for the implementation of a Rural Revitalization Strategy to carry out the research on scientifically identifying village types and clarifying the differences and pluralistic trends within villages. Taking Gaochun District of Nanjing in China as an example, this paper constructs an index system of development level and reconstruction intensity from a dynamic and static perspective, uses the polygon area method to calculate the comprehensive score of each index, divides village types based on the combination of development level and reconstruction intensity, and then puts forward the differentiated development strategies of various villages. The results show that the identification method of village types based on combined features is multi-dimensional and comprehensive, and the recognition results are more in line with the objective reality. Villages in Gaochun district have a medium overall development level and high overall reconstruction intensity. There are a large number of low-value villages with development level and high-value villages with reconstruction intensity. According to the three-step strategy of village type identification, the list of characteristic villages, the location of villages and the characteristics of index combination, five village types were identified: the characteristic protection type, the urban-suburban integration type, the agglomeration and upgrading type, the improvement and development type, and the relocation and merger type.