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Global Climate Change and Sustainable Social and Economic Development

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Air, Climate Change and Sustainability".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 3934

Special Issue Editors

Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Interests: regional science; computation science; climate change; climate adaptation; policy modelling; sustainability
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Population Research Institute, East China Normal University, Shanghai 200241, China
Interests: climate change economics; population, resource and environment

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Guest Editor
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Interests: climate change; agriculture; water resource

Special Issue Information

Dear Colleagues,

Mitigating and adapting global climate change effectively for maintaining sustainable social and economic development is an essential issue with which the international community will be confronted in the future. The Sustainable Development Goals adopted by the United Nations integrate 17 specific goals and emphasize the balance between social, economic and environmental sustainability. Sustainable social and economic development under global climate change should answer two questions: how does climate change affect sustainable social and economic development, and what kinds of sustainable strategies should be adopted in dealing with climate change? A great number of represented by Shared Socioeconomic Pathways (SSPs) that aim to explore how the future can evolve by describing plausible major global developments that together would lead to different challenges for mitigation and adaptation to climate change in the future, have comprehensively analyzed and discussed social and economic development under global climate change. In recent years, the progress of global climate negotiations and the proposal of carbon neutrality goals in various countries, as alongside the ubiquity of digital technologies, are reconstructing the balance between the global response to climate change and sustainable economic and social development. It is necessary to carry out research at multiple levels to analyze the development pathways addressing climate change driven by new strategies, new policies, new technologies, and new factors.

This Special Issue aims to study the social and economic impacts of global climate change, and to explore sustainable strategies and policies to address global change in order to achieve the Sustainable Development Goals. Topics of interest for this Special Issue include (but are not limited to) the following:

  • Sustainability and integrated assessment modelling.
  • Policy simulation on sustainable mitigation and adaption.
  • Climate change and regional development.
  • Climate change and sustainable agriculture.
  • Climate change and sustainable rural development.
  • Climate change and sustainable urban development.
  • Adaption to climate change in urban areas.
  • Urban carbon mitigation.
  • Digital technology and climate change mitigation.
  • Economic transition under climate change.
  • Industrial transfer under climate change.
  • Climate change and sustainable population development.
  • Climate change and human health.
  • Regional sustainable development and embodied carbon emissions.
  • Technological change and carbon neutrality.

Dr. Jing Wu
Dr. Gaoxiang Gu
Dr. Yongbin Zhu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • global climate change
  • sustainability
  • social and economic development
  • Sustainable Development Goals
  • mitigation and adaption
  • integrated assessment model (IAM)
  • policy simulation
  • regional development
  • agriculture
  • urban
  • rural
  • digital technology
  • economic transition
  • industrial transfer
  • population
  • health
  • embodied carbon
  • carbon neutrality

Published Papers (3 papers)

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Research

17 pages, 3968 KiB  
Article
Projection of Non-Industrial Electricity Consumption in China’s Pearl River Delta under Global Warming Scenarios
by Tiaoye Li, Lingjiang Tao and Mi Zhang
Sustainability 2024, 16(5), 2012; https://doi.org/10.3390/su16052012 - 29 Feb 2024
Viewed by 525
Abstract
Global warming is a global issue closely linked to sustainability, and power systems around the world are facing immense pressure due to global warming. The purpose of this study is to investigate the impact of global warming on non-industrial electricity consumption in China’s [...] Read more.
Global warming is a global issue closely linked to sustainability, and power systems around the world are facing immense pressure due to global warming. The purpose of this study is to investigate the impact of global warming on non-industrial electricity consumption in China’s Pearl River Delta. The Weather Research and Forecasting (WRF) model is employed to dynamically downscale and simulate summer climate change characteristics during historical periods and future warming scenarios of 1.5/2 °C. Then, in order to dynamically investigate the changes in non-industrial electricity consumption in cities after warming, we developed a non-industrial electricity consumption estimation model based on degree days and GDP. The regression model can well reproduce non-industrial electricity consumption in summer. Under future warming scenarios of 1.5/2 °C, the results indicate an annual growth trend in non-industrial electricity consumption due to global warming. Under a 1.5 °C warming scenario, non-industrial electricity consumption in both Guangzhou and Zhuhai increases, with Guangzhou experiencing a larger increase of about 10 terawatt-hours (TWh) compared to the historical period. However, under a 2 °C warming scenario, non-industrial electricity consumption in both cities slightly decreases compared to the 1.5 °C warming scenario, with a maximum decrease of 874 million kilowatt-hours. Full article
(This article belongs to the Special Issue Global Climate Change and Sustainable Social and Economic Development)
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22 pages, 2836 KiB  
Article
Dynamic Control of Flood Limited Water Levels for Parallel Reservoirs by Considering Forecast Period Uncertainty
by Yanbin Li, Yubo Li, Kai Feng, Kaiyuan Tian and Tongxuan Huang
Sustainability 2023, 15(24), 16765; https://doi.org/10.3390/su152416765 - 12 Dec 2023
Cited by 1 | Viewed by 793
Abstract
The objective of this study is to achieve the dynamic optimization of the flood limited water level (FLWL) in parallel reservoirs, using Luhun Reservoir and Guxian Reservoir as case studies. The innovation lies in establishing a dynamic control optimization model for the FLWL [...] Read more.
The objective of this study is to achieve the dynamic optimization of the flood limited water level (FLWL) in parallel reservoirs, using Luhun Reservoir and Guxian Reservoir as case studies. The innovation lies in establishing a dynamic control optimization model for the FLWL of parallel reservoirs, considering the uncertainty in the forecasting period of the flood forecast due to the varying locations of the rainstorm center from upstream to downstream. To commence, the Fisher optimal segmentation method is employed for flood season staging to determine the staged FLWL of each reservoir. Subsequently, considering the uncertainty in the foresight period, the upper range of the dynamic FLWL is determined through the improved pre-discharge capacity constraint method and Monte Carlo simulation. Finally, a multi-objective optimization model is established to determine the optimal dynamic FLWL control operation scheme for parallel reservoirs, utilizing the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). This model takes into account both downstream flood control requirements and the water supply benefits of the parallel reservoirs. Through the optimization of the scheme, the water supply of the parallel reservoirs can be augmented by 15,347.6 m3 during the flood season. This optimization effectively achieves a harmonious balance between flood control and water supply, holding significant implications for mitigating drought risks amid changing conditions. Full article
(This article belongs to the Special Issue Global Climate Change and Sustainable Social and Economic Development)
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17 pages, 313 KiB  
Article
Does Air Pollution Influence the Settlement Intention of the Floating Population in China? Individual Heterogeneity and City Characteristics
by Xinxian Wang, Jun He, Tim Futing Liao and Gaoxiang Gu
Sustainability 2023, 15(4), 2995; https://doi.org/10.3390/su15042995 - 7 Feb 2023
Cited by 3 | Viewed by 2042
Abstract
Serious air pollution has caused widespread concern in Chinese society in recent years. China’s floating population plays an important role in China’s economic development, and the determinants of the floating population’s settlement intentions have attracted increasing attention. Using the 2017 China Migrants Dynamic [...] Read more.
Serious air pollution has caused widespread concern in Chinese society in recent years. China’s floating population plays an important role in China’s economic development, and the determinants of the floating population’s settlement intentions have attracted increasing attention. Using the 2017 China Migrants Dynamic Survey Data (CMDS) and the satellite grid data of global PM2.5 concentration as well as city-level data, this study investigated the influences of air quality on migrants’ settlement intention, in particular, individual heterogeneity and city characteristics. Using an instrumental variable to correct for endogeneity, we found that air pollution has a significant negative effect on the settlement intentions of China’s floating population. Migrants who were older, better educated and with poorer health are more sensitive to air pollution with regard to settlement intention. Meanwhile, settlement intentions are also influenced by individual adaptability: Respondents with better air quality in their hometown are more sensitive to air pollution. Poor air pollution has not weakened the attractiveness of Tier-1 cities to the floating population, nor has the administrative level of a city. Full article
(This article belongs to the Special Issue Global Climate Change and Sustainable Social and Economic Development)
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