Green Sustainable Development, Technology Innovation and Sustainable Land Management

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Socio-Economic and Political Issues".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 2596

Special Issue Editors


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Guest Editor
Department of Land Economy, University of Cambridge, Cambridge CB3 9EP, UK
Interests: real estate price indices and valuation; housing economics; land and housing policies; behavioral sciences

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Guest Editor
School of Civil Engineering, Northeast Forestry University, Harbin 150040, China
Interests: urban disaster risk management; transportation planning; land and housing policy; public policy; behavioural science; urban science

Special Issue Information

Dear Colleagues,

There continues to be a poor understanding of how transformation and socio-technological change in the specific field of sustainable land use and management can be effectively governed and supported. Land is an essential but limited “resource” to humans. Demand for land and land-based goods is increasing and will continue to rise in the future on account of a growing world population, economic growth, the energy transition, changes in consumption patterns, and more recently, climate change. As a result, we can project that there will be a greater competition for land and more environmental degradation in the future. Land has therefore become a key issue of sustainable development because land use causes many sustainability problems. To secure human needs both now and in the future, green sustainable development is an imperative concept that ensures a fair and balanced nexus of land, water, biodiversity, and other environmental resources among various stakeholders. The focus of green development strategies on the land issue is ensuring that natural assets can deliver their full economic potential on a sustainable basis. Under the green development paradigm, there are minimal changes in land use patterns, ecological spaces, and a nominal increment in construction land, indicating a reduction in the competitive advantage of land. Conversely, technological innovation, as the internal driving force of economic development, has an important impact on land use and land development. These innovations and smart technologies exert decisive influence on the promotion of economic greening, environmental greening, and social greening and are vital for promoting the sustainable development of land. Sustainable land management innovations start from diverse problem framings and emerge from distinct action fields. This Special Issue will focus on a broad variety of innovation types, following distinct solution strategies that can be clustered into the role of technological innovation in green development, multiple land use, knowledge-based decision support tools, co-management approaches, and socio-economic systems. This Special Issue aims to publish articles that examine the comprehensive scope of technology-oriented approaches towards and techniques of green sustainable development. All manuscripts should be written clearly so that they can be understood by a wide range of scholars and policy makers. Any contributions from economists, political economists, land specialists, specialists in green sustainable development, and development economists committed to the rigorous study and analysis of land issues are welcome.

Prof. Dr. Hossein Azadi
Prof. Dr. Helen Bao
Dr. Jie Liu
Guest Editors

Manuscript Submission Information

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Keywords

  • technology innovation
  • smart technologies
  • green development
  • sustainable development
  • sustainable land management

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Published Papers (1 paper)

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Research

19 pages, 4419 KiB  
Article
Spatial Optimization of Land Use Pattern toward Carbon Mitigation Targets—A Study in Guangzhou
by Shouyi Ding, Shumi Liu, Mingxin Chang, Hanwei Lin, Tianyu Lv, Yujing Zhang and Chen Zeng
Land 2023, 12(10), 1903; https://doi.org/10.3390/land12101903 - 10 Oct 2023
Cited by 4 | Viewed by 1566
Abstract
Global climate change is one of the major challenges facing the world, and the spatial optimization of land use patterns has been regarded as critical in realizing carbon mitigation. In this study, the linear programming model and the Markov Chain model are integrated [...] Read more.
Global climate change is one of the major challenges facing the world, and the spatial optimization of land use patterns has been regarded as critical in realizing carbon mitigation. In this study, the linear programming model and the Markov Chain model are integrated in different scenarios to optimize land use structure for low-carbon development. The land use pattern is then simulated through the adjusted convolutional neural network and cellular automata model, taking Guangzhou City as the case study area. The results reveal that construction land with high economic efficiency will increase its area, and the reaming types will experience slight changes, in 2035 in the natural development scenario and the economic priority scenario. Ecological land such as forest land, grassland, and water is partly occupied by construction land in the urban–rural fringe areas. The total carbon emissions decrease by 2.32% and 1.57% in these two scenarios. In the low-carbon-oriented scenario, the expansion of construction land is restricted, and the forest land and grassland undergo great expansion. The total carbon emission decreases by 18.95%—a figure much larger than that in the natural development scenario and the economic priority scenario. Our paper embeds the needs and constraints in land spatial planning into the spatial optimization of the land use pattern, which provides valuable references for low-carbon city development in the future. Full article
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