scholarly journals Land-Use Change and Efficiency in Laos’ Special Economic Zones

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1012
Author(s):  
Dongxue Li ◽  
Xingping Wang
Keyword(s):  
Land Use ◽  
Information Entropy ◽  
Structural Evolution ◽  
Gray Relational Analysis ◽  
Land Use Intensity ◽  
Special Economic Zones ◽  
Land Use Efficiency ◽  
Medium Intensity ◽  
Use Efficiency ◽  
Economic Zones

Special economic zones (SEZs) are important in Laos due to their ability to attract foreign investment, realize industrialization, and promote economic globalization. Based on Laos’ SEZs in operation, this study explored land-use intensity, structural evolution and land-use efficiency in Laos’ SEZs via the land-use dynamic degree, information entropy, super-efficiency data envelopment analysis (DEA) and gray relational analysis (GRA). The study determined that the total land-use area in Laos’ SEZs continuously increased from 2014 to 2020. The land-use intensity changes in the SEZs can be divided into three types, i.e., high intensity, medium intensity and low intensity, and most SEZs belonged to the medium-intensity type. The proportion of land used in production systems in Laos’ SEZs increased the most, and the proportion of infrastructure land notably decreased. The overall information entropy of the land-use structure exhibited an initial downward and then an upward trend. In 2018, the land-use efficiency in the Savan-Seno SEZ, Vientiane Industrial and Trade Area, Dongphosy SEZ, and Golden Triangle SEZ was relatively optimal. The basic factors of the industrial space and the factors reflecting international cooperation attributes were highly related to the land-use efficiency in Laos’ SEZs.

scholarly journals Decoupling of Land Use Intensity and Ecological Environment in Gansu Province, China

2020 ◽  
Vol 12 (7) ◽  
pp. 2779 ◽  
Author(s):  
Yanjie Zhang ◽  
Wei Song ◽  
Shun Fu ◽  
Dazhi Yang
Keyword(s):  
Land Use ◽  
Environmental Protection ◽  
Environmental Quality ◽  
Gansu Province ◽  
Ecological Environment ◽  
Human Society ◽  
Land Use Intensity ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
The Relationship

Land is the carrier of the production and living activities of human society and the basis of survival and development of all living organisms. With the continuous development of the social economy, the unreasonable use of land is becoming more and more serious, aggravating the deterioration of the ecological environment. Most studies in this field have mainly focused on land use changes and the corresponding impacts on the ecological environment, but relatively few studies have delinked the relationship between land use intensity and the ecological environment. Based on data on these two factors for Gansu Province from 1998 to 2017, we used the Tapio decoupling model to evaluate the decoupling relationship between land use intensity and ecological environment. From 1998 to 2017, the comprehensive land use intensity in Gansu province increased by 107.77%, and the comprehensive ecological environment index increased by 63.76%. In general, the relationship between land use intensity and ecological environment experienced five states, namely weak decoupling, strong negative decoupling, strong decoupling, expansive negative decoupling, and declining decoupling. During 1999–2013 and 2013–2016, land use intensity and ecological environment had decoupled, and the main reasons were as follows: (1) The Chinese government introduced a series of farmland protection policies and measures, controlled the area of newly added construction land, and reduced urban land expansion; (2) ecological restoration projects for mountains, forests, fields, lakes, and grassland strengthened the environmental protection in Gansu Province; and (3) in the process of economic development, the increased investment of technology and capital improved the land use efficiency, finally realizing the “double growth” of land use intensity and environmental quality. Based on these results, land use intensity and environmental quality are not necessarily contradictory, and a moderate improvement of land use efficiency and environmental protection can probably result in increased land use intensity and higher environmental quality.

Applying AHP and Maximal Value Normalization to Evaluate Intensity of Urban Land Use in Sujiatun District, Shenyang City

2013 ◽  
Vol 709 ◽  
pp. 911-914
Author(s):  
Xiao Fan Zhao
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Intensity ◽  
Shenyang City ◽  
Land Use Efficiency ◽  
Intensive Use ◽  
Use Efficiency

In order to explore the intensive extent of urban land use in Sujiatun District of Shenyang City, the AHP and maximal value normalization were taken to analyze the level of intensive use of urban land. Results indicated that land use is extensive and land functions are mixed in the study area. Land use intensity should be strengthened and more land should be reserved for construction so as to improve the land use efficiency.

scholarly journals The Natural and Socioeconomic Influences on Land-Use Intensity: Evidence from China

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1254
Author(s):  
Longgao Chen ◽  
Xiaoyan Yang ◽  
Long Li ◽  
Longqian Chen ◽  
Yu Zhang
Keyword(s):  
Land Use ◽  
Socioeconomic Factors ◽  
Socioeconomic Development ◽  
Positive Impact ◽  
Land Use Intensity ◽  
Appraisal System ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
The Government ◽  
Intensive Land Use

Intensive land use can support sustainable socioeconomic development, especially in the context of limited land resources and high population. It is measured by land-use intensity that reflects the degree of land-use efficiency. In order to support decision-making for efficient land use, we investigated the mechanism whereby natural and socioeconomic factors influence land-use intensity from the perspectives of overall, region-, and city-based analysis, respectively. This investigation was conducted in Chinese cities using the multiple linear stepwise regression method and geographic information system techniques. The results indicate that: (1) socioeconomic factors have more positive impact on land-use intensity than natural factors as nine of the top 10 indicators with the highest SRC values are in the socioeconomic category according to the overall assessment; (2) education input variously contributes to land-use intensity because of the mobility of a well-educated workforce between different cities; (3) the increase in transportation land may not promote intensive land use in remarkably expanding cities due to the defective appraisal system for governmental achievements; and that (4) in developed cities, economic structure contributes more to land-use intensity than the total economic volume, whereas the opposite is the case in less-developed cities. This study can serve as a guide for the government to prepare strategies for efficient land use, hence promoting sustainable socioeconomic development.

scholarly journals Spatial-Temporal Characteristics of Cultivated Land Use Efficiency in Major Function-Oriented Zones: A Case Study of Zhejiang Province, China

Land ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 114
Author(s):  
Chaozheng Zhang ◽  
Yangyue Su ◽  
Gangqiao Yang ◽  
Danling Chen ◽  
Rongxuan Yang
Keyword(s):  
Land Use ◽  
Carbon Emissions ◽  
Agricultural Production ◽  
Regional Disparity ◽  
Cultivated Land ◽  
Major Function ◽  
Ecological Economic ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
Economic Zones

Promoting cultivated land use efficiency (CLUE) coordinated development in various major function-oriented zones is a measure to deal with unbalanced development of territorial space in China. Taking the optimized development, key development, agricultural production, ecological function, and ecological economic zones of Zhejiang province as research objects, this study incorporated agricultural carbon emission into the measurement framework of CLUE and analyzed the regional disparity and the convergence of CLUE from 2008 to 2017, using slack-based measure model (SBM), the Theil index, and convergence theory. The main results are as follows: (1) The CLUE value that considered agricultural carbon emissions was lower than the CLUE value that did not consider agricultural carbon emissions; thus, agricultural carbon emissions had a negative effect on CLUE. (2) The CLUE value of the five major function-oriented zones showed an increasing trend; after ranking the CLUE value, the CLUE of the optimized development zones was the highest, followed by the ecological function, ecological economic, and key development zones, and that of the agricultural production zones was the lowest, indicating significant regional disparity. (3) The overall disparity of CLUE presented an upward trend, and the within-regional disparity is the main source of the overall disparity. (4) Neither σ convergence nor absolute β convergence occurred in the CLUE of the five major function-oriented zones, but conditional β convergence occurred among the optimized development and ecological economic zones. Although the planning of major function-oriented zones reflects the regional disparity and convergence of CLUE to some extent, the CLUE under the control of major function-oriented zones is not consistent with the function positioning.

scholarly journals Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 715
Author(s):  
Yingkai Tang ◽  
Kun Wang ◽  
Xuanming Ji ◽  
He Xu ◽  
Yangqing Xiao
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Evaluation System ◽  
Yangtze River Delta ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Efficiency ◽  
Green Development ◽  
Use Efficiency ◽  
Development Orientation

Rapid urbanization has provided a strong impetus for the economic growth of China, but it has also caused many problems such as inefficient urban land use and environmental pollution. With the popularization of the concept of green and sustainable development, the Environmental-Social-Governance (ESG) assessment concept is widely accepted. The government and residents are paying more and more attention to environmental issues in urban development, and environmental protection has formed an important part of urban development. In this context, this study takes 26 cities in the Yangtze River Delta as examples to build an evaluation system for urban land-use efficiency under green development orientation. The evaluation system takes into account the inputs of land, capital, labor, and energy factors in the process of urban development. Based on emphasizing economic output, the social benefits and undesired outputs brought about by urban development are taken into account. This paper measures urban land use efficiency by the super-efficiency SBM model, and on this basis, analyses the spatial-temporal evolution characteristics of urban land-use efficiency. Further, this paper measures urban land use efficiency without considering undesired outputs and compares the two evaluation methods. Again, the comparison illustrates the rationality of urban land use efficiency evaluation system under green development orientation.

scholarly journals Does the Construction and Operation of High-Speed Rail Improve Urban Land Use Efficiency? Evidence from China

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 303
Author(s):  
Xinhai Lu ◽  
Yifeng Tang ◽  
Shangan Ke
Keyword(s):  
Economic Growth ◽  
Land Use ◽  
High Speed ◽  
Urban Land ◽  
Urban Land Use ◽  
Western China ◽  
High Speed Rail ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
The Impact

The construction and operation of high-speed rail (HSR) has become an important policy for China to achieve efficiency and fairness and promote high-quality economic growth. HSR promotes the flow of production factors such as labor and capital and affects economic growth, and may further affect urban land use efficiency (ULUE). To explore the impact of HSR on ULUE, this paper uses panel data of 284 cities in China from 2005 to 2018, and constructs Propensity Score Matching-Differences in Differences model to evaluate the effect of HSR on ULUE. The result of entire China demonstrates that the HSR could significantly improves the ULUE. Meanwhile, this paper also considers the heterogeneity of results caused by geographic location, urban levels and scales. It demonstrates that the HSR has a significantly positive effect on ULUE of Eastern, Central China, and large-sized cities. However, in Western China, in medium-sized, and small-sized cities, the impact of HSR on ULUE is not significant. This paper concludes that construction and operation of HSR should be linked to urban development planning and land use planning. Meanwhile, the cities with different geographical locations and scales should take advantage of HSR to improve ULUE and promote urban coordinated development.

scholarly journals Does Smart City Construction Improve the Green Utilization Efficiency of Urban Land?

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 657
Author(s):  
Aiping Wang ◽  
Weifen Lin ◽  
Bei Liu ◽  
Hui Wang ◽  
Hong Xu
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Financial Development ◽  
Smart City ◽  
Urban Land ◽  
Utilization Efficiency ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
City Construction ◽  
Green Land

Frontier research primarily focuses on the effect of urban development models on land use efficiency, while ignoring the effect of new-type urban development on the green land use efficiency. Accordingly, this paper employs a super efficiency slacks-based measure (super-SBM) model with undesirable outputs to measure the green land use efficiency based on panel data from 152 prefecture-level cities for the period 2004–2017. We construct a difference-in-differences (DID) model in this paper to test the impact of smart city construction on the green utilization efficiency of urban land and its transmission mechanism. The results showed that: (1) The smart city construction significantly improved the green utilization efficiency of urban land, increasing the general efficiency by 15%. (2) There is significant city-size heterogeneity in the effect of smart city construction on improving green utilization efficiency of urban land. The policy effect is more obvious in mega cities and above than in very-large-sized cities. (3) The city-feature heterogeneity results reveal that, in cities with a higher level of human capital, financial development, and information infrastructure, the effectiveness of smart city construction in improving the green utilization efficiency of urban land are more obvious, and in cities with a higher level of financial development, the effects of the urban policy were more optimal. (4) The smart city construction promotes the green utilization efficiency of urban land through by the information industry development and the regional innovation capabilities.

scholarly journals A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Wei Chen ◽  
Rui He ◽  
Qun Wu
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Spatial Autocorrelation ◽  
Industrial Development ◽  
Efficiency Measure ◽  
Industrial Land ◽  
Envelope Analysis ◽  
Land Use Efficiency ◽  
Industrial Land Use ◽  
Use Efficiency

With the rapid and unbalanced development of industry, a large amount of cultivated land is converted into industrial land with lower efficiency. The existing research is extensively concerned with industrial land use and industrial development in isolation, but little attention has been paid to the relationship between them. To help address this gap, the paper creates a new efficiency measure method for industrial land use combining Subvector Data Envelope Analysis (DEA) with spatial analysis approach. The proposed model has been verified by using the industrial land use data of 30 Chinese provinces from 2001 to 2013. The spatial autocorrelation relationship between industrial development and industrial land use efficiency is explored. Furthermore, this paper examines the effects of industrial development on industrial land use efficiency by spatial panel data model. The results indicate that the industrial land use efficiency and the industrial development level in the provinces of eastern region are higher than those of the western region. The spatial distribution of industrial land use efficiency shows remarkable positive spatial autocorrelation. However, the level of industrial development has obvious negative spatial autocorrelation since 2009. The improvement of industrial development has a significant positive impact on the industrial land use efficiency.

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