Risk assessment and spatial differentiation pattern of rural production space system in Chongqing Municipality

Cheng, Wang; FAN, Rong-rong; Zhuo-qi, Long

doi:10.31497/zrzyxb.20200509

Cited by 3 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the principles of accessibility and using the four dimensions of rural geographic environment, industrial economy, resource endowment, and location and transportation, we constructed an index system that identifies the main influencing factors of the spatial differentiation of rural industrial poverty alleviation benefits (see Table 1). The specific indicators are: (1) the geographical environment, which reflects the topography and landform of the region, affecting the spatial differentiation of factors, such as natural elements, agricultural production structure and methods (Cheng et al., 2020), and infrastructure construction. The average slope and altitude of a village were selected to reflect its natural background conditions.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, the efficiency of industrial poverty alleviation, as a mapping of poverty alleviation industries and the level of social and economic development in underprivileged areas, is closely related to the optimisation and adjustment of regional industrial structure. The coupled relationship and theoretical relationship between the two have also been analysed in depth by related scholars (Cheng et al, 2020;Xiang & Feng, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Existing research has focused on the precision efficiency of industrial poverty alleviation (Yang & Zhang, 2018), the performance of industrial poverty alleviation models (Zeng & Niu, 2019; Zhou & Hu, 2019), the efficiency of specific categories of poverty alleviation industries (Gang et al., 2020; Yang et al., 2020), and the impact of industrial poverty alleviation on farmers' livelihood strategies and household income, along with other aspects. The research methods were mainly based on the data envelopment analysis model (Cheng et al., 2020; Wang & Li, 2019). Given that the traditional model ignores the interference of random variables on the measurement results, scholars have now explored the Slacks‐Based Measure (SBM) model (Tone, 2001) and the Super‐SBM model.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spatial differentiation and factors influencing the benefits of industrial poverty alleviation in villages

Chen

Wang

et al. 2022

Growth and Change

View full text Add to dashboard Cite

Industrial poverty alleviation is one of the most important aspects of targeted poverty alleviation. Identifying the mechanism influencing the spatial differentiation of the benefits of industrial poverty alleviation plays an essential role in optimising an industrial layout for poverty alleviation, consolidating poverty alleviation achievements, and revitalising rural industries. This study examined the spatial distribution characteristics and influencing factors of the benefits of industrial poverty alleviation at the village level using the household data collected from Jiangjin District, Chongqing, China. The results show that the benefits of industrial poverty alleviation presented obvious spatial differentiation in the villages with the overall performance being high in the north and low in the south and decreasing from the south of the county to the north and south. Spatially, there was a significant positively correlated agglomeration effect. High‐value agglomeration areas were concentrated in the north with the characteristics of ‘one centre and two subcentres’. However, low‐value and outlier agglomeration effects were not obvious, presenting sporadic distribution. Seven major factors affect industrial poverty alleviation in Jiangjin District, including average altitude and land transfer rate. The interaction between any two of the seven factors has a more significant impact than that of a single factor.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spatial differentiation and factors influencing the benefits of industrial poverty alleviation in villages

Chen

Wang

et al. 2022

Growth and Change

View full text Add to dashboard Cite

show abstract

“…Liu Pengfei et al [4] analyzed the pattern and related factors of the quality of urban production, living, and ecological spaces in China. Cheng et al [5][6][7] performed studies on the spatio-temporal characteristics and pattern evolution of the coupling coordination of the rural productionliving-ecological space functions in Chongqing, as well as on the ordering and adaptability evaluation of the production space subsystem of the production-living-ecological space. Other countries have focused on the development and application of spatial planning in the study of the production-living-ecological space and have applied the latest theories of spatial zoning to guide city and town planners.…”

Section: Introductionmentioning

confidence: 99%

Functional Coupling Degree and Human Activity Intensity of Production–Living–Ecological Space in Underdeveloped Regions in China: Case Study of Guizhou Province

2021

Land

View full text Add to dashboard Cite

(1) Background: Clarify the coordinated development level of production, living, and ecological spaces in the underdeveloped areas of China and their relationship with the intensity of human activity. Explore and address the problems that are likely to be faced when developing these areas and improve the quality of China’s new urbanization development. Promote the coordinated and sustainable development of the economy, society and ecology in underdeveloped areas. Guizhou Province is located in southwest China; the landform is broken and complex. Its economic development level is low. It is one of the representatives of underdeveloped areas in China. Therefore, Guizhou Province of China was selected as the study area. (2) Methods: This paper constructs the evaluation index system of the production–living–ecological space (PLES) functional system in China’s underdeveloped areas, and uses the coupling coordination degree model to measure the development coordination level of the study area. The human activity intensity model was used to calculate the human activity intensity in the study area. Response index is introduced to analyze the relationship between the spatial function coupling coordination degree and the intensity of human activities. (3) Results: Before 2015, the level of functional coupling coordination degree of production–living–ecological space (PLES) in the study area fluctuated, and after 2015, it showed a stable and coordinated development trend. The intensity of human activity continues to increase, and the interaction between human activity and local production–living–ecological space (PLES) function coupling coordination is intense. (4) Conclusions: human activity is a significant factor affecting regional, coordinated and sustainable development. In less developed areas, the impact of human activity is more obvious. Human activity, in combination with the theory of the human–land relationship and the moderate intensity of human activity, are important ways to improve the coordinated and sustainable development of underdeveloped regions.

show abstract

Optimization of rural settlements based on rural revitalization elements and rural residents’ social mobility: A case study of a township in western China

Rao

Zou

Chen

et al. 2023

Habitat International

View full text Add to dashboard Cite

Risk assessment and spatial differentiation pattern of rural production space system in Chongqing Municipality

Cited by 3 publications

References 0 publications

Spatial differentiation and factors influencing the benefits of industrial poverty alleviation in villages

Spatial differentiation and factors influencing the benefits of industrial poverty alleviation in villages

Functional Coupling Degree and Human Activity Intensity of Production–Living–Ecological Space in Underdeveloped Regions in China: Case Study of Guizhou Province

Optimization of rural settlements based on rural revitalization elements and rural residents’ social mobility: A case study of a township in western China

Contact Info

Product

Resources

About