Land-use changes and land policies evolution in China’s urbanization processes

Wang, Jing; Lin, Yifan; Glendinning, Anthony; Xu, Yao

doi:10.1016/j.landusepol.2018.04.011

Cited by 313 publications

(147 citation statements)

References 36 publications

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“…Food security has been defined as a situation when food is physically and economically available for all people to meet their dietary needs for a healthy life [1]. Nowadays, food security has become a global issue as two-thirds of the population will live in cities in the near future [2][3][4][5][6], on the other hand, farming business has to face declining farmland conversion [7][8][9][10], a loss of farmland ownership [11][12][13][14], a lack in rural development [15,16], and unstable farming productivity due to climate changes [17][18][19][20]. Therefore, the compliance of food supply and demand should be carefully monitored to avoid declining nutrition and the poor health of humankind.…”

Section: Introductionmentioning

confidence: 99%

Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia

2020

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Food security has become one of the global challenges; therefore, monitoring food consumption is required. As food consumption is a resultant of food availability at an affordable price, food expenditure actually is a key indicator to assess food security policy. Particularly, the link of food expenditure with socio-economic factors based on the perspective of spatial connectivity should be understood as nowadays food supply and demand between regions are increasingly connected. This study aims to define socio-economic driving factors of food expenditure that considering spatial connectivity between provinces in Indonesia. Data of household food expenditure and socio-economic factors by province including urbanization level, economic growth, gross domestic regional product (GDRP) per capita, poverty severity index, and unemployment rate were used. The preliminary test on the spatial correlation of food expenditure showed a significant result; thus, a spatial regression approach was employed. The results showed that declining food expenditure did not simply indicate increasing prosperity. Larger income disparity among the poor has become crucial to detect lower food expenditure caused by a lack of income. In addition, the increasing unemployment rate was followed by increasing food expenditure. Despite economic growth, increasing GDRP per capita and urbanization contributing to declining food expenditure, both poverty and unemployment are the main issues that threaten household's ability to afford food. Furthermore, the effect of food expenditure in the neighboring region is also significant, but it shows a contradictory relationship as food expenditure in a region is decreasing when food expenditure in its neighbors is increasing, and vice versa. Therefore, reducing disparities in economic growth, GDRP per capita, urbanization, poverty, and unemployment rate between provinces is also crucial to support more equal food expenditure as well as to achieve the second goal of SDG's (Sustainable Development Goals) in improving food security.

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Section: Introductionmentioning

confidence: 99%

Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia

2020

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“…The second is the evaluation of urban land use intensity based on different scale units and land types. The scale of evaluation includes national, provincial, municipal, and even specific land types, such as industrial land, residential land, and commercial land [12][13][14]. Third, quantitative analysis of influencing factors of the intensive use of urban land using various model methods.…”

Section: Introductionmentioning

confidence: 99%

How to Measure Urban Land Use Intensity? A Perspective of Multi-Objective Decision in Wuhan Urban Agglomeration, China

et al. 2018

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Urban land intensive use is an important part of regional planning and plays an important role in the sustainable development of cities. However, the research on how to measure urban land use intensity is still controversial. This paper gives a perspective of multi-objective decision to explore the criterion of urban land use intensity in the process of urbanization. The theory of factor substitution was applied to analyze the mechanism of urban land intensive use in different urbanization stage. Additionally, the matching degree model (MDM), curve estimation model, and multi-objective programming model were employed in the case study of Wuhan urban agglomeration to give a multi-objective decision on urban land intensive use. The results show that the level of urban land intensive use lagging behind the level of urbanization development in more than 60% of the counties. When the level of urbanization is less than 30%, 30–70% and greater than 70%, the optimal intensity of urban land use characterized by fixed investments of unit land is 2.6252, 4.6132, and 6.7648 million RMB respectively. Based on optimal intensity, the counties in Wuhan urban agglomeration were divided into key development zone and optimized development zone. Finally, different management strategies were designed for different zones for urban land intensive use.

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“…Land cover changes are a component of wider global geographical changes affected by many factors such as climate change, resource management, and spatial planning and policies [1,27]. Land cover changes are the result of complicated processes related to many different domains like politics, economy, culture, environment, and others [27][28][29].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The main purpose of this research is to identify the impact of spatially varying absorption of EU funds on land cover changes in Polish municipalities in the years 2012-2018. Many studies done in different parts of the world have shown that land cover changes can be caused by many different factors, such as fast consumption of natural resources, urbanisation processes, or agricultural policies [1,2]. Studies on land cover changes are a key element in understanding the relations between anthropogenic factors and the natural environment changes [3].…”

Section: Introductionmentioning

confidence: 99%

The Impact of EU Grants Absorption on Land Cover Changes—The Case of Poland

2019

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The main goal of the paper is to verify the impact of the absorption of European Union (EU) grants on land cover changes in Polish municipalities in the years 2012–2018. The selection of the research area was justified by the fact that Poland is the largest and significantly spatially differentiated transition economy in Central-Eastern Europe, recognised as a substantial beneficiary of EU accession in 2004. The time range of analysis was set as the result of a comparison of data availability in Corine Land Cover (CLC) and Statistics Poland. The CLC dataset referring to land cover and land use changes between 2012 and 2018 was used. The focus on modifications taking place within one of the main land cover groups at level 3 of detail was applied in this research. These changes were analysed as percentages referring to the area of the municipality and to the total area of changes in the investigated period. Two categories of EU grants were considered: total and infrastructural (granted under EU Operational Programme “Infrastructure and Environment”). Moreover, some control economic, social, demographic, institutional, infrastructural, and environmental variables were applied to better explain land cover changes. Moran’s local statistic was employed to detect spatial hot-spots of EU grants absorption, as well as hot-spots of land cover changes. Then, a collection of various variables related to determinants of land cover changes was set. Economic factors, including EU grants absorption, as well as factors related to accessibility, agrarian structure, demography, environment, and spatial planning were investigated. Principal Component Analysis (PCA) was employed to convert the set of all considered variables into a set of few uncorrelated predictors. Finally, Geographically Weighted Regression (GWR) was applied to describe the spatially varied impact of investigated determinants, including EU grants, represented by estimated principal components on land cover changes.

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Land-use changes and land policies evolution in China’s urbanization processes

Cited by 313 publications

References 36 publications

Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia

Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia

How to Measure Urban Land Use Intensity? A Perspective of Multi-Objective Decision in Wuhan Urban Agglomeration, China

The Impact of EU Grants Absorption on Land Cover Changes—The Case of Poland

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