Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review

Abstract

Improvements in and the assessment of land use efficiency are crucial pillars for achieving the Sustainable Development Goals (SDGs). This study reviews 208 representative papers, oral reports, and project reports to provide a systematic and comprehensive understanding of the current status and future trends of research on land use efficiency assessment. The findings reveal that (1) the number of papers on land use efficiency assessment is rapidly increasing, with research primarily focused on environmental science and ecology (n = 157, 75.48%). (2) Quantitative models are gaining popularity for land use efficiency assessment, with more than 46.63% of the studies adopting the data envelopment analysis (DEA) model. (3) The definition and analysis perspectives of land use efficiency are diverse, but research on relative land use efficiency and comprehensive analysis perspectives accounts for a significant proportion. (4) Constructing a large and complex model that incorporates geospatial effects, big data, and computer technology is a hot topic for future research methods. On the other hand, conducting land use efficiency research on a global scale is more conducive to achieving the SDGs. (5) The core to improving land use efficiency lies in the joint implementation of multi-pronged measures.

Effect of LULC Changes on Annual Water Yield in the Urban Section of the Chili River, Arequipa, Using the InVEST Model

“…where ETo is expressed in mm/month. A strong recommendation that the input evapotranspiration raster be based on the same precipitation data that are entered into the model was taken into account too [24], so there is more consistency and reliability in the results.…”

“…These evaluations represent important tools for effective protection and management of water resources [9,22], as well as for an adequate relationship between human growth and WY through the articulation of production spaces, housing and ecological value to achieve cities' sustainable development and human wellbeing [6,23]. Consequently, the measurement of the WY and the LULC changes through InVEST will contribute to achieve the sustainable development goals [24] aimed at the care of water resources, the protection of ecosystems and the development of sustainable communities, especially in cities with a clear trend toward urban growth, where the loss of natural ecosystems generates environmental and economic damage [14] that threatens the quality of life of the population.…”

Influential Effect and Mechanism of Digital Finance on Urban Land Use Efficiency in China

“…For instance, Dimov et al investigated the utilization of land resources in Central Asia by using remote sensing data [8], and Wiatkowska et al analyzed the ULUE in Opole city in Poland utilizing remote sensing imagery and GIS technology [9]. Some scholars also use other methods, such as the entropy method [10], stochastic frontier analysis [11], data envelopment analysis [12,13] to evaluate ULUE, and data enveloping analysis exhibits fewer drawbacks compared to the entropy method and stochastic frontier analysis [14]. The super-efficiency SBM model is a sophisticated approach in data envelopment analysis.…”

“…The super-efficiency SBM model is a sophisticated approach in data envelopment analysis. The model assesses the ability of a region or organization to optimize its output under given input conditions [14]. The aforementioned model possesses inherent strengths in the handling of multiple output indicators [14].…”

Spatiotemporal Evolution of Land Use Efficiency in Southwest Mountain Area of China: A Case Study of Yunnan Province

“…We prefer to use comprehensive indicators to define LUE. Because LUE reflects the relationship between human activities and nature, integrating economic, social, and ecological aspects, it can adequately measure the relationship between the harmonious development of the three [25]. Resource allocation theory is an important support for the study of LUE, which points out the link between the rational allocation of land resources and LUE [26].…”