Assessing the Performance of Land Consolidation Projects in Different Modes: A Case Study in Jianghan Plain of Hubei Province, China

Journal of Environmental and Public Health

Jia

2022

Performance appraisal of well-facilitated farmland projects has positive significance for promoting the development of modern agriculture in rural areas and carrying out rural revitalization. Based on the AHP-object metatopological model, a well-facilitated farmland project performance appraisal system is proposed to analyze the county performance of well-facilitated farmland construction. In this study, Fangcheng County, Henan Province, is selected as the research sample area and evaluated by applying the established index system. The results show that the overall performance grade of the well-facilitated farmland project in Fangcheng County is at an excellent level with both excellent and good rates reaching more than 90%, the output is slightly lower with excellent and good rates reaching 73%, and the benefit is the worst with excellent and good rates at 53%. These indicate that the construction effect of the well-facilitated farmland project in Fangcheng County is at a good level, but the benefits are not as satisfactory as expected. In the overall appraisal, excellent accounts for 48.1%, good accounts for 26.9%, average accounts for 16.3%, and poor accounts for 8.7%. Fangcheng County has achieved a good performance level in the construction of a well-facilitated farmland project in 2019, with almost full completion of project objectives and compliance with implementation standards. This study provides a system of county performance appraisal methods for well-facilitated farmland as well as its practical application in county-level units.

Section: Introductionmentioning

confidence: 99%

[Retracted] The Performance Appraisal System of Country Well‐Facilitated Farmland Based on AHP‐Object Metatopological Model

Journal of Environmental and Public Health

Jia

2022

“…Previous studies on rural geography and land use have pointed out that physical geographical conditions are the basic elements that determine the spatial distribution of different types of land use, and they further impact the quantitative structure and spatial layout of land resources [11,53]. Meanwhile, rural population, socioeconomic development and industrial structures may lead to changes of land-use pattern and functions in rural areas [10,54,55]. In addition, urban-rural relations can impact the rural land-use structure to some extent [56].…”

Section: Geodetector Modelmentioning

confidence: 99%

Allocation Efficiency, Influencing Factors and Optimization Path of Rural Land Resources: A Case Study in Fang County of Hubei Province, China

Yang

Zhang

et al. 2020

IJERPH

Self Cite

Land resource allocation efficiency (LRAE) is a significant indicator in weighing regional socioeconomic development. The study of LRAE can provide useful references for optimizing the layout of rural land use and conducting village planning against the background of rural revitalization strategy. Taking Fang County of Hubei Province as an example, we constructed an efficiency measurement index system based on economic, social, and ecological objectives. The slack-based measure with undesirable output (SBM-Undesirable) model and geodetector model were used to evaluate the rural LRAE, influencing factors and optimization paths from 2011 to 2017. The results suggest that: (1) the rural LRAE in Fang County shows a steady upward trend, with an average increasing rate of 9.204%. The townships in the north and south of the study area have a low LRAE value, and townships in the central area have a high LRAE value. The number of villages at low or medium-low LRAE is decreasing, and the number of villages with medium-high or high LRAE continued to increase from 2011 to 2017. (2) The spatial variation in LRAE in Fang County is affected by physical geography conditions, rural development conditions, and urban-rural relations. The impact of the proportion of primary industry and rural population has always been influential on the LRAE. Physical geography conditions have a relatively strong impact on the LRAE, but their values are decreasing. The influences of the Engel coefficient, urbanization rate and gap between the rural and urban resident’s income have been continuously enhanced. (3) All land types have obvious input redundancies, and reducing these redundancies can help achieve the optimal allocation of rural land resources. In the future, it is of significance to prioritize low-carbon and green developments, and to promote sustainable rural development.

“…CLR essentially limits the right to development in a region, which forces the need for high-quality economic development through the optimization of land development rights. Previous studies on CLR have mainly focused on the impact of CLR on towns and villages [4], location choice [2], policy framework or mechanism of life cycle management of industrial land in China [9], and performance evaluation of land consolidation project [10]. It can be found that the studies on CLR mainly focus on the economic and social impact aspects of CLR, and there are fewer studies on the slow development of regions with net reduction of construction land.…”

Section: Introductionmentioning

confidence: 99%

How Does Spatial Injustice Affect Residents’ Policy Acceptance of the Economic–Social–Ecological Objectives of Construction Land Reduction?

Liu

2023

IJERPH

Construction land reduction (CLR) is a policy innovation for Shanghai to explore high-quality economic development, but it will also lead to spatial injustice in the implementation process. Although the literature on spatial injustice and CLR is increasing, very little is known about the influence of spatial injustice in CLR on residents’ policy acceptance of the economic–social–ecological objectives of CLR. To fill the knowledge gap, this study uses micro-survey data to identify the factors that influence residents’ policy acceptance of the economic–social–ecological objectives of CLR. Results show that: (1) Spatial injustice in CLR significantly reduces residents’ policy acceptance of the social and ecological objectives of CLR. (2) The locational disadvantage of villages significantly reduces residents’ policy acceptance of the ecological objectives of CLR. (3) The more educated the residents are, the more they recognize the social and ecological objectives of CLR. (4) The higher the percentage of household workers, the more residents endorse the economic and social objectives of CLR. (5) Compared with ordinary residents, cadres are more accepting of the economic objectives of CLR. (6) Robustness tests support the findings of this study. The findings of this study provide insights for sustainable CLR policy reform.