Dynamic simulation of the atmospheric environment improved by a focus on clean energy utilization of resource-based cities in China

Ma, Yufang; Yan, Jingjing; Sha, Jinghua; He, Gengyu; Song, Chenfei; Fan, Songmei; Ke, Wenlan

doi:10.1016/j.jclepro.2018.04.247

Cited by 32 publications

(11 citation statements)

References 28 publications

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“…Air pollution badly affects health and leads to an increase in healthcare expenditure. Pollutants include sulfur dioxide, carbon monoxide, and nitrogen dioxide, which cause respiratory diseases, pulmonary problems, asthma, food allergies, bronchitis, reduced lung growth, lung cancer, and reduced life expectancy (Sekar et al 2016 ; Xie et al 2018 ; Ma et al 2018 ). It is necessary to identify the major drivers of healthcare spending, which include environmental deterioration (air pollution), along with other economic (e.g., GDP, foreign direct investment (FDI) inflow) and noneconomic (e.g., education) factors.…”

Section: Introductionmentioning

confidence: 99%

Air pollutants, economic growth and public health: implications for sustainable development in OECD countries

Mujtaba

Shahzad

2020

Environ Sci Pollut Res

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The rapid economic growth over recent years and the resulting environmental pollution in OECD countries are a serious concern for the health of the general public. A comprehensive analysis of environmental pollutants, economic growth, and public health is done using data from 28 OECD economies from 2002 to 2018. Panel fully modified least squares and the panel vector error correction model are used. The results show that there is long-run causality from renewable energy and carbon dioxide (CO 2 ) emissions to healthcare spending. Renewable energy and healthcare spending are positively and significantly related. It is concluded that investment in renewable energy leads to a reduction in air pollution, improvements in healthcare, and the promotion of economic growth.

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Section: Introductionmentioning

confidence: 99%

Air pollutants, economic growth and public health: implications for sustainable development in OECD countries

Mujtaba

Shahzad

2020

Environ Sci Pollut Res

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“…Resource-based cities tend to have higher unemployment rates (Chen et al, 2018b), single employment structure (Tan et al, 2016), lack of growth potential (Li et al, 2013), weak alternative industries (He et al, 2017), lower social insurance (Bo and Hasnat, 2017), and other social and economic problems. Meanwhile, overexploitation and inefficient resource utilization also cause environmental pollution and ecological risks (Ma et al, 2018). However, resource-based cities face more severe crizes in industrial green transformation than do other cities (Yu et al, 2016), which is a global concern.…”

Section: Introductionmentioning

confidence: 99%

Innovation or Introduction? The Impact of Technological Progress Sources on Industrial Green Transformation of Resource-Based Cities in China

et al. 2020

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With the increasingly prominent problems of global resource consumption and environmental pollution, industrial green transformation has become one of the requirements of China’s industrial development in the new era. However, there is a lack of research on the impact of technological innovation and technology introduction on the industrial green transformation of resource-based cities. To bridge this gap, this study uses the panel data of 115 resource-based cities in China from 2003 to 2016, and uses the dynamic panel generalized method of moments (GMM) estimation method to study the impact of technological innovation and technology introduction on industrial green transformation of resource-based cities. The results show that technology introduction has a negative effect on the industrial green transformation of resource-based cities, while technological innovation can have a positive effect. Meanwhile, technology introduction has imparted a greater role to technological innovation in promoting this transformation. In addition, the interactive effects between technological innovation and technology introduction have obvious heterogeneity on the industrial green transformation of different types of resource-based cities. Therefore, resource-based cities should continue to increase investment in scientific research, to constantly improve and consolidate their technological innovation ability, optimize foreign investment strategy in technology introduction, and strengthen the digestion and absorption of imported technology, while increasing technological innovation and personnel training.

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“…In recent work, fuzzy comprehensive quantitative evaluation, Drosophila optimization algorithm and Monte Carlo simulation method were used to evaluate hydrogeological risk and predict water quality evolution (Ouelhazi et al, 2014;Shojaei et al, 2015;Ruan et al, 2021), which could avoid the degradation of groundwater quality, improve the fragility of water resource systems and water ecological conditions, and improve the sustainable utilization capacity of regional water resources. Meanwhile, the coordinated development of water resources, economy and society has gradually attracted much attention (Ma et al, 2018;Song et al, 2018;Mou et al, 2019). Through multi-index dynamic comprehensive analysis and evaluation of water resources carrying capacity, including principal component analysis, system dynamics, ecological footprint, modeling studies can estimate the maximum development capacity and supporting capacity of regional water resources (Leeuwen and Sjerps 2015;Magri and Berezowska-Azzag 2019;Wang et al, 2018;Mou et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Relationship Between Water Resources and New Urbanization Based on a Vector Autoregressive Model: A Case Study of Hebei Province, China

Yan

Pei

et al. 2022

Front. Environ. Sci.

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Overly rapid urban expansion in the past has significantly changed water resources, resulting in an imbalance between water resources and the sustainable development of new urbanization. To facilitate the sustainable development and utilization of water resources and promote the high-quality development of new urbanization, this study constructs evaluation index systems for water resources and new urbanization. The analytic hierarchy process, entropy method and projection pursuit method are used to determine the weight of each index, and Hebei Province is taken as an example for empirical analysis. The results indicate an upward trend for water resources in Hebei during the 2000–2019 period, while the water resources support capacity and water environmental pollution showed trends of gradual improvement but changed greatly, the water ecological carrying capacity gradually increased, and the negative impact of water disaster damage on the comprehensive situation of regional water resources gradually increased. Meanwhile, a qualitative breakthrough has been made in the development of new urbanization. Based on their evaluation results data, the long-term equilibrium relationship between water resources and new urbanization as well as the dynamics are empirically analyzed using a vector autoregressive model with a variable cointegration test, generalized impulse responses, and a decomposition prediction method using evaluation result data for the 2000–2019 period. There is indeed a supporting and inhibiting dynamic relationship between new urbanization and water resources as well as its components. At the early stage of urbanization, the endowment of water resources, the background value of the water environment, the ecological capacity of water and man-made water disasters were not fully considered, which led to the sharp contradiction between water resources and new urbanization. For a period, the decline in water resource support capacity and serious water environmental pollution have gradually become important factors limiting new urbanization in Hebei, and the constraining effects of the reduced water ecological carrying capacity and water disaster damage have gradually decreased. For future development, decision makers in Hebei should take measures such as adjusting the economic growth mode, improving resource utilization efficiency and technical level, and fully considering the positive role of new urbanization in promoting water resources and water environments. At the same time, Hebei Province should reduce the rate of water resource consumption by strengthening water conservation measures, optimizing the water utilization structure, and increasing investments in water pollution prevention and control to enhance the stability of water environments to realize the coordinated development of water resources and new urbanization.

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Dynamic simulation of the atmospheric environment improved by a focus on clean energy utilization of resource-based cities in China

Cited by 32 publications

References 28 publications

Air pollutants, economic growth and public health: implications for sustainable development in OECD countries

Air pollutants, economic growth and public health: implications for sustainable development in OECD countries

Innovation or Introduction? The Impact of Technological Progress Sources on Industrial Green Transformation of Resource-Based Cities in China

Dynamic Relationship Between Water Resources and New Urbanization Based on a Vector Autoregressive Model: A Case Study of Hebei Province, China

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