Urban economic structure, technological externalities, and intensive land use in China

Synergi analysis of the tugging of interest in agricultural production and envirometal services. Conversion of land functions into intensive agriculture can cause degradation or declining land capability. This is because farmers' orientation is always on production and ignoring environmental services. Intensive agriculture always causes environmental problems, resulting in a tug of war in agricultural production and environmental services. The purpose of this study is to find out how much intensive land use has resulted in a deterioration of environmental services. This research was carried out on intensive agricultural land (Horticulture) (PI), AF-CK (cloves), AF-KK (cocoa), AF-KM (candlenut), AF-KP (coffee), owned by farmers and AF-HS (forest secondary) in Tn. Kelimutu National. This research uses interviews and exploration methods. The results showed that the level of intensification of horticultural land use in Kelimutu was classified as very intensive with an R-value and an LUI index = 79, the survey results showed that the density of earthworm populations in SPL-AF was as low as the population in SPL-HS, on average only 3 tails m-2, while in SPL-PI the average is only 0.24 m 2. The earthworm biomass in AF is about 69% smaller than the worms found in SPL-HS; earthworm biomass average in SPL-AF 15 g m-2 while in SPL-HS an average of 47 g m-2; and the smallest worm biomass found in SPL-PI averaging about 2.3 g m-2. The diversity of earthworms is significantly different between land uses. The average diversity of earthworms (H ') reaches 0.88; Index R = 0.34; and Index E = 0.92. The four species that dominate are 1). Pontoscolex (endogeik, INP = 48.52), 2). Megascolex (endogeik; INP 44,61), 3). Pheretima (epigeic, INP 35.29), and 4). Lumbricus (epigeic, INP = 13.01)

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Assessing the Coupling Coordination Relationship between Urbanization and Intensive Land Use: A Case from Chengdu, China

10.1061/9780784483848.065 ◽

2021 ◽

Author(s):

Aoqun Li ◽

Zhiye Huang ◽

Yuan Chang

Keyword(s):

Land Use ◽

Intensive Land Use

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Study on Production and Environmental Factors Based on GMM of Dynamic Panel System

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.693.1922 ◽

2016 ◽

Vol 693 ◽

pp. 1922-1934

Author(s):

B. Li ◽

R. Yi ◽

T. Li

Keyword(s):

Land Use ◽

Industrial Structure ◽

Structure Evolution ◽

Dynamic Panel ◽

Urbanization Level ◽

Industrial Structures ◽

Intensive Land Use ◽

The Relationship ◽

Stimulation Of ◽

New Urbanization

This paper measured the new urbanization level and the degree of intensive land use in 28 provinces of China from 2006 to 2012 through building index system, and built the economic model by utilizing GMM system to demonstrate the relationship between new urbanization, industrial structure evolution and intensive land use based on panel data. The result indicates that the industrial structure evolution is conducive to intensive land use. The development of new urbanization and the intensive land use generate structural contradictions, but it will promote intensive land use indirectly through stimulation of the industrial structure evolution. At the regional level, new urbanization inhibit the intensive land use in the eastern regions and promote it in the western regions, while the effect in the central region is not significant. Industrial structures in some regions stimulate the intensive land use directly or indirectly.

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Effect of Complex Road Networks on Intensive Land Use in China’s Beijing-Tianjin-Hebei Urban Agglomeration

Land ◽

10.3390/land9120532 ◽

2020 ◽

Vol 9 (12) ◽

pp. 532

Author(s):

Chen Zeng ◽

Zhe Zhao ◽

Cheng Wen ◽

Jing Yang ◽

Tianyu Lv

Keyword(s):

Land Use ◽

Road Network ◽

Spillover Effect ◽

Urban Agglomeration ◽

Land Use Intensity ◽

Spatial Econometric ◽

Spatial Spillover ◽

The Road ◽

Intensive Land Use ◽

Spatial Spillover Effect

Coupled with rapid urbanization and urban expansion, the spatial relationship between transportation development and land use has gained growing interest among researchers and policy makers. In this paper, a complex network model and land use intensity assessment were integrated into a spatial econometric model to explore the spatial spillover effect of the road network on intensive land use patterns in China’s Beijing–Tianjin–Hebei (BTH) urban agglomeration. First, population density, point of interest (POI) density, and aggregation index were selected to measure land use intensity from social, physical, and ecological aspects. Then, the indicator of average degree (i.e., connections between counties) was used to measure the characteristics of the road network. Under the hypothesis that the road network functions in shaping land use patterns, a spatial econometric model with the road network embedded spatial weight matrix was established. Our results revealed that, while the land use intensity in the BTH urban agglomeration increased from 2010 to 2015, the road network became increasingly complex with greater spatial heterogeneity. The spatial lag coefficients of land use intensity were positively significant in both years and showed a declining trend. The spatially lagged effects of sector structure, fixed asset investment, and consumption were also significant in most of our spatial econometric models, and their contributions to the total spillover effect increased from 2010 to 2015. This study contributes to the literature by providing an innovative quantitative method to analyze the spatial spillover effect of the road network on intensive land use. We suggest that the spatial spillover effect of the road network could be strengthened in the urban–rural interface areas by improving accessibility and promoting population, resource, and technology flows.

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Detection of Urban Development in Uyo (Nigeria) Using Remote Sensing

Land ◽

10.3390/land8060102 ◽

2019 ◽

Vol 8 (6) ◽

pp. 102 ◽

Cited By ~ 3

Author(s):

Etido Essien ◽

Samimi Cyrus

Keyword(s):

Remote Sensing ◽

Land Use ◽

Time Series ◽

Urban Development ◽

Economic Structure ◽

Natural Vegetation ◽

Thematic Mapper ◽

Series Data ◽

Infrastructure Development ◽

Vegetation Loss

Uyo is one of the fastest-growing cities in Nigeria. In recent years, there has been a widespread change in land use, yet to date, there is no thorough mapping of vegetation change across the area. This study focuses on land use change, urban development, and the driving forces behind natural vegetation loss in Uyo. Based on time series Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper Plus (ETM+)/Operational Land Imager (OLI) image data, the relationships between urban land development and its influencing factors from 1985 to 2018 were analyzed using remote sensing (RS) and time series data. The results show eight land use cover classes. Three of these (forest, swamp vegetation, and mixed vegetation) are related to natural vegetation, and three (sparse built-up, dense built-up, and borrow pit) are direct consequences of urban infrastructure development changes to the landscape. Swamp vegetation, mixed vegetation, and forest are the most affected land use classes. Thus, the rapid growth of infrastructure and industrial centers and the rural and urban mobility of labor have resulted in an increased growth of built-up land. Additionally, the growth pattern of built-up land in Uyo corresponds with socioeconomic interviews conducted in the area. Land use changes in Uyo could be attributed to changes in economic structure, urbanization through infrastructure development, and population growth. Normalized difference vegetation index (NDVI) analysis shows a trend of decreasing vegetation in Uyo, which suggests that changes in economic structure represent a key driver of vegetation loss. Furthermore, the implementation of scientific and national policies by government agencies directed at reducing the effects of urbanization growth should be strengthened, in order to calm the disagreement between urban developers and environmental managers and promote sustainable land use.

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Intensive land use in South Australia's Upper Murray

Australian Geographer ◽

10.1080/00049186008702356 ◽

1960 ◽

Vol 8 (1) ◽

pp. 25-41 ◽

Cited By ~ 2

Author(s):

G. Ross Cochrane

Keyword(s):

Land Use ◽

Intensive Land Use

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NEW DIRECTIONS FOR URBAN ECONOMIC MODELS OF LAND USE CHANGE: INCORPORATING SPATIAL DYNAMICS AND HETEROGENEITY

Journal of Regional Science ◽

10.1111/j.1467-9787.2009.00655.x ◽

2010 ◽

Vol 50 (1) ◽

pp. 65-91 ◽

Cited By ~ 84

Author(s):

Elena G. Irwin

Keyword(s):

Land Use ◽

Land Use Change ◽

Spatial Dynamics ◽

Economic Models ◽

Urban Economic ◽

New Directions

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Evaluation of Land Intensive Use in Shanghai Pilot Free Trade Zone

Land ◽

10.3390/land8060087 ◽

2019 ◽

Vol 8 (6) ◽

pp. 87

Author(s):

Liangliang Zhou ◽

Yishao Shi ◽

Xiangyang Cao

Keyword(s):

Land Use ◽

Performance Evaluation ◽

Free Trade ◽

Index System ◽

Free Trade Zone ◽

Evaluation Index System ◽

Evaluation Index ◽

Industrial Land ◽

Free Trade Zones ◽

Intensive Land Use

Free trade zones represent an important system innovation space to realize economic agglomeration advantages with high-level openings. However, its evaluation of land intensive use has not received enough attention. The goal of this paper is to build a land use performance evaluation index system in line with the development trend of industrial economy and the characteristics of mixed land use in the free trade zones. An evaluation index system is constructed based on the three factors of land use status, land use efficiency and pilot free trade zone influence. Using the Delphi method and the entropy method, an empirical evaluation of the intensive land use level in the Shanghai Pilot Free Trade Zone is conducted. The results show the following: (1) integrating new indicators such as the free trade zone influence, social and ecological benefits into the evaluation index system show a characteristic and innovative land use evaluation; (2) in terms of the level of intensive land use, the Waigaoqiao Free Trade Zone has the highest intensity, followed by the Yangshan Free Trade Port Zone, and the Pudong Airport Comprehensive Free Trade Zone has the lowest intensity; and (3) development time, degree of land use, differences in leading functions, industrial land structures, and the diversification of employment structures are important factors that influence the differences in the levels of intensive land use in the Shanghai Pilot Free Trade Zone. This study also expands the performance evaluation of industrial land to the performance evaluation of construction land and provides references for industrial transformation and urban renewal of the Shanghai Pilot Free Trade Zone.

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