scholarly journals Land-Use Efficiency in Shandong (China): Empirical Analysis Based on a Super-SBM Model

2020 ◽  
Vol 12 (24) ◽  
pp. 10618
Author(s):  
Yayuan Pang ◽  
Xinjun Wang
Keyword(s):  
Land Use ◽  
Utilization Efficiency ◽  
Scale Efficiency ◽  
Western Region ◽  
Cultivated Land ◽  
Construction Land ◽  
Sbm Model ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
The Western Region

A reasonable evaluation of land-use efficiency is an important issue in land use and development. By using a super-SBM model, the construction and cultivated land-use efficiency of 17 cities in Shandong from 2006 to 2018 were estimated and the spatial-temporal variation was analyzed. The results showed that: (1) The land use efficiency levels were quite different, and low-efficiency cities impacted the overall development process. (2) The efficiency values of construction land generally fluctuated and rose, meaning that room remains for future efficiency improvements. Cultivated land generally showed a high utilization efficiency, but it fluctuated and decreased. (3) The construction land-use efficiency was highest in the midland region, especially in Laiwu city, followed by the eastern region and Qingdao city, and the western region. The spatial variation in cultivated land presented a trend of “high in the middle, low in the periphery,” centered on Jinan and Yantai city. (4) Pure technical efficiency was the main restriction driving inefficient utilization in the western region, while scale efficiency played that role in the east. Based on the findings, policy suggestions were proposed to improve the land-use efficiency in Shandong and promote urban sustainable development.

scholarly journals Temporal-Spatial Variations and Regional Disparities in Land-Use Efficiency, and the Response to Demographic Transition

2019 ◽  
Vol 11 (17) ◽  
pp. 4756 ◽  
Author(s):  
Wang ◽  
Yang ◽  
Ou ◽  
Xiong ◽  
Deng ◽  
...  
Keyword(s):  
Land Use ◽  
Demographic Transition ◽  
Large Population ◽  
Regional Disparities ◽  
Western Region ◽  
Eastern Region ◽  
Large Country ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
The Western Region

China has undergone rapid industrialization and urbanization over the past 40 years. In this process, as a large country with a vast territory and a large population, China's population development and land utilization have been greatly affected and undergone dramatic changes. In this paper, we mainly discuss the temporal and spatial variation characteristics of land-use efficiency in China from 1991 to 2016 and the regional disparities and explore the impacts of demographic transition on land-use efficiency by employing a STIRPAT model. In terms of space, China's land-use efficiency has significant agglomeration distribution characteristics and regional inequality, and the degrees of agglomeration and differentiation have gradually become enhanced over time. Our study on the influences of demographic transition on land-use efficiency found a Kuznets curve relationship between the transition of population size and land-use efficiency, as well as between the income level transition and land-use efficiency. Especially, land-use efficiency first increases up to the population threshold of 10611.877×104, then efficiency decreases as the population grows. The overall average population in the whole country is 4117.753×104, which is smaller than the identified threshold. Interestingly, the factors influencing land-use efficiency also showed very significant regional disparities. In the eastern region, there is a U-curve relationship between the population employed in secondary industries (ES2) and land-use efficiency. Land-use efficiency decreases down to the ES2 threshold of 343.674×104 for the eastern region, whereas the overall average ES2 is 874.976×104, indicating that this region has reached the turning point where land-use efficiency will improve as the population employed in secondary industries increases. Meanwhile, the increase in the human capital level was significantly positively correlated with land-use efficiency in the eastern region. For the central region, the transition of the urban–rural population structure (measured by the urbanization rate) significantly increased land-use efficiency. In addition, the results of panel estimation showed a Kuznets relationship between the population employed in tertiary industries (ES3) and land-use efficiency in the western region. Land-use efficiency increases up to the ES3 threshold of 455.545×104, and then decreases with an increasing population employed in tertiary industries, whereas the overall average ES3 in the western region is 415.97×104, which is smaller than the identified threshold. Policymakers could use these findings to inform rational suggestions with a sound scientific basis regarding the promotion of land-use transition.

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.

Research of Land Use Efficiency in Mountainous Township Based on the Methods of DEA

2012 ◽  
Vol 209-211 ◽  
pp. 507-511
Author(s):  
Yu He ◽  
Li Li Huo
Keyword(s):  
Land Use ◽  
Industrial Structure ◽  
Living Environment ◽  
Scale Efficiency ◽  
Mountain Areas ◽  
Land Use Efficiency ◽  
Study Results ◽  
Close Relationship ◽  
Output Efficiency ◽  
Use Efficiency

Town land is the carrier of town’s economy, society and environment, and its land use efficiency has a close relationship with town’s economic development as well as living environment construction. This study selects towns of Zigui County as research objects to explore characteristics of land use efficiency in mountain areas. The study results show that: 1) Maoping, Lianghekou, Meijiahe and Moping, of which technical efficiency and scale efficiency equal to 1, achieve the best condition of land use efficiency. 2) In Quyuan, Guizhou, Shuitianba, Xietan and Zhouping, moderately enlarging towns’ scale will be helpful to strengthen agglomeration economy effect, and improve towns land use efficiency. While in Shazhengxi, Yanglinqiao and Guojiaba, it needs to decrease these towns’ scale moderately to prevent the waste of resource. 3) Inputs’ inefficiency and outputs’ insufficiency are the main factors result in the differences of input and output efficiency. 4) Accelerate Industrial Restructuring, optimize Industrial Structure, improve service efficiency of fixed assets investments, appropriately control the scale of construction land are the most important way to improve land use efficiency in Zigui County.

scholarly journals Measuring Multi-Faceted Land Use Efficiency of Large-Scale Urban Agglomerations under Multi-Scale Drivers: Evidence from China

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 91
Author(s):  
Jinfeng Ma ◽  
Weifeng Li ◽  
Zhao Wang ◽  
Liang He ◽  
Lijian Han
Keyword(s):  
Land Use ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
The Yangtze River ◽  
Construction Land ◽  
Urban Agglomerations ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
The Yangtze River Delta

Although urban agglomerations are vital sites for national economic development, comprehensive multidimensional investigations of their performance are lacking. Accordingly, we examined land use efficiency from multiple perspectives in two of the earliest developed and most advanced urban agglomerations in China, the Beijing–Tianjin–Hebei (BTH) region and the Yangtze River Delta (YRD), using different metrics, including trans-regional drivers of the spatial allocation of construction land. We found that: (1) The land use efficiency of urban agglomerations was context dependent. Whereas it was higher in the Beijing–Tianjin–Hebei region for population density per unit area of construction land than in the Yangtze River Delta region, the opposite was true for gross domestic production. Thus, a single aspect did not fully reflect the land use efficiency of urban agglomerations. (2) The land use efficiency of the two urban agglomerations was also scale dependent, and in the Yangtze River Delta region, the use of multiple metrics induced variations between aggregate and local measures. Median values for the land use efficiency of cities within an urban agglomeration were the most representative for comparative purposes. (3) The drivers of the spatial allocation of construction land were trans-regional. At the regional scale, most topographical factors were restrictive. Major regional transport networks significantly influenced the occurrence of construction land near them. Dominant cities and urban areas within each city exerted remote effects on non-dominant cities and rural areas. In principle, the median value can be considered a promising metric for assessing an urban agglomeration’s performance. We suggest that stringent management of land use in areas located along regional rail tracks/roadways may promote sustainable land use.

scholarly journals Evaluation of Cultivated Land Use Efficiency with Environmental Constraints in the Dongting Lake Eco-Economic Zone of Hunan Province, China

Land ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 440
Author(s):  
Ying Chen ◽  
Suran Li ◽  
Long Cheng
Keyword(s):  
Land Use ◽  
Industrial Development ◽  
Dongting Lake ◽  
Hunan Province ◽  
Environmental Constraints ◽  
Cultivated Land ◽  
Irreversible Damage ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
Economic Zone

The rapid urban and industrial development in China has put pressure on the limited cultivated land resources. In ecologically fragile areas, such as the Dongting Lake Eco-economic Zone, land pollution and waste emissions from agricultural production cause irreversible damage to cultivated land. Thus, a method to assess the sustainability of cultivated land use efficiency (CLUE) is explored. Using the panel data of 25 districts in the province from 2007 to 2017, this study incorporates agricultural non-point source pollution and carbon emissions into undesirable outputs of cultivated land. The SBM(Slack-based Measure)-undesirable model was applied to measure the spatiotemporal characteristics of CLUE under environmental constraints. This study finds that CLUE with environmental constraints is significantly lower than CLUE without environmental constraints, and the degree of the impacts of the constraints differs among regions. Second, from 2007 to 2017, the average CLUE of the province showed a downward trend in each year; this is due to the side effects of redundant inputs and undesired outputs. Third, in 2017, the CLUE of the Dongting Lake Eco-economic Zone was high in the west and low in the east, and the redundant inputs of CLUE were livestock, fertilizer, and pesticide. The study concludes by recommending some policies.

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