Neglected idle rural residential land (IRRL) in metropolitan suburbs: Spatial differentiation and influencing factors

Zhou, Tao; Jiang, Guanghui; Li, Guangyong; Zhou, Dong; Qu, Yanbo

doi:10.1016/j.jrurstud.2020.06.020

Cited by 56 publications

(42 citation statements)

References 51 publications

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“…However, other studies have reached the opposite conclusion. They find that in some metropolitan suburbs, villages that are closer to the city center and have more convenient transportation have higher RHV rates because rural people are more likely to leave the country and enter the city [33,34].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Local governments could affect the utilization and development of urban and rural spaces through a series of interventions such as special institutions, urban planning, and financial investments. For example, the number and distribution of public service facilities provided by local governments could affect the spatial distribution of employment [43], while urban and rural planning and investment activities of local governments could affect the economic and social development trajectory of villages [34,[44][45][46]. Besides, government interventions such as land consolidation policies, new rural construction policies, and industrial promotion policies have restructured rural space [47].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Through the literature review of the influencing factors of RHV from the regional perspective, it can be considered that the difference of the two types of RHV rates in metropolitan suburbs is the result of interactions of location [30][31][32][33][34], government interventions [34,[44][45][46][47]51], and the villages' characteristics [33,35,51]. We put forward three working hypotheses based on the literature.…”

Section: Factors Influencing Rhvmentioning

confidence: 99%

“…At the meso-level, some studies have explained the differences in RHV rates from the perspective of villages' regional spatial conditions. For example, it has been found that a village's location, economic development level, and natural geographic conditions are all important factors affecting the RHV rate [30][31][32][33][34]. At the macro level, the urban-rural relationship has been found as a major contributor to China's RHV.…”

Section: Introductionmentioning

confidence: 99%

“…Within this line of literature, however, there still exist some research gaps that need to be further explored. First, previous studies have mainly focused on rural areas with massive population outflows, which are dominated by an agricultural economy, while relatively little attention has been paid to China's metropolitan suburbs [34]. However, addressing the RHV issue could be of great significance for the long-term sustainable development of China's metropolitan suburbs where rural villages have been greatly affected by the expansion of city construction land [37,38].…”

Section: Introductionmentioning

confidence: 99%

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Rural Housing Vacancy in Metropolitan Suburbs and Its Influencing Factors: A Case Study of Nanjing, China

Zhao

Wang

2021

Sustainability

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With the rapid development of industrialization and urbanization, rural housing vacancy (RHV) has become an increasingly universal phenomenon in China, causing many economic and social problems. Despite many studies on RHV, relatively little attention has been paid to distinguishing the types of vacant rural houses as well as RHV in metropolitan suburbs. Drawing upon survey data from 23 sampled villages of the Nanjing metropolitan area in China, this paper differentiates RHV into permanent vacancy and temporary vacancy and analyzes the influences of location, government interventions, and the villages’ characteristics on the two types of RHV. The empirical results show that villages located in inner suburbs and with medium travel time to city centers have higher permanent RHV rates, while those located further away from city centers usually have higher temporary RHV rates. The local government’s restrictive plans and housing construction restrictions do not increase the permanent RHV rate nor temporary RHV rate, whereas supportive plans and financial investment reduce the permanent RHV rate and increase the temporary RHV rate. Permanent RHV rates are relatively lower in villages that are less reliant on agricultural development. Those villages usually have higher sublet rates of farmland, a lower proportion of agriculture laborers, and better development of manufacturing or tourism. However, temporary RHV rates do not differ significantly between agricultural villages and non-agricultural villages. The paper finds an unusual “middle bump” phenomenon of permanent RHV rate and explains it with the law of commuting circles. Some policy implications are put forward to promote the transformation and sustainable development of rural areas in China’s metropolitan suburbs.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Factors Influencing Rhvmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rural Housing Vacancy in Metropolitan Suburbs and Its Influencing Factors: A Case Study of Nanjing, China

Zhao

Wang

2021

Sustainability

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Transitioning towards human–robot synergy in agriculture: A systems thinking perspective

Aivazidou

Tsolakis

2022

Syst Res Behav Sci

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Digital transformation has unveiled new prospects for increased performance and productivity in the agricultural sector to meet rising food security needs. Continuous industrialization and unexpected disruptions (e.g., workforce mobility restrictions due to the COVID‐19 pandemic) call for the adoption of agricultural robots. However, automated solutions could be associated with societal challenges in rural areas; unemployment growth has been perceived as a major threat that jeopardizes societal welfare, potentially hindering the implementation of digital technologies. In this context, human–robot synergistic systems could act as a promising socially viable alternative. Through systems thinking, this research investigates the complex interconnections and key feedback mechanisms of automation diffusion (conventional and human–robot interactive) under the socio‐economic perceptions (drivers and barriers) of agribusinesses and rural communities. Overall, this study contributes towards eliciting the mental models that underpin the transition from agricultural robots to human–robot collaboration by transforming automation‐related societal risks into opportunities for sustainable rural development.

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Constructing ecological corridors in response to extensive rural sprawl in a highly developed urban agglomeration

Cheng,

Liu,

2023

Urban Ecosyst

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Neglected idle rural residential land (IRRL) in metropolitan suburbs: Spatial differentiation and influencing factors

Cited by 56 publications

References 51 publications

Rural Housing Vacancy in Metropolitan Suburbs and Its Influencing Factors: A Case Study of Nanjing, China

Rural Housing Vacancy in Metropolitan Suburbs and Its Influencing Factors: A Case Study of Nanjing, China

Transitioning towards human–robot synergy in agriculture: A systems thinking perspective

Constructing ecological corridors in response to extensive rural sprawl in a highly developed urban agglomeration

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