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Lu W, Qin Z, Yang S. Heterogeneity effects of environmental regulation policy synergy on ecological resilience: considering the moderating role of industrial structure. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:8566-8584. [PMID: 38180654 DOI: 10.1007/s11356-023-31647-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 12/17/2023] [Indexed: 01/06/2024]
Abstract
Given the great importance attached to ecological civilization and green development, exploring the heterogeneous effects of environmental regulation policy synergy on ecological resilience holds significance for improving environmental protection and the design of environmental policies. Based on the policy synergy perspective, this paper uses 30 provinces (municipalities and autonomous) in China as the research sample. Bayesian quantile regression is employed to explore the heterogeneous effects of environmental regulation policy synergy on ecological resilience from 2007 to 2021, and the moderating effect of the industrial structure is examined. The results indicate the following: (1) there is significant heterogeneity and variability in the effect of environmental regulation policy synergy on ecological resilience. Specifically, the effects of policy mixes 12, 13, and 23 on ecological resilience shows a U-shaped trend, while the impact of policy mix 123 on ecological resilience shows a positive effect. (2) There are significant differences in the effects of environmental regulation policy synergy under different quantiles of ecological resilience. Taking policy mix 12 as an example, we find that the effect of policy synergy on ecological resilience tends to decrease and then increase at a lower quantile. Additionally, the effect of policy synergy on ecological resilience tends to be positive at a higher quantile. (3) There are significant differences in the moderating effects of the industrial structure. Policy mix 12 can effectively enhance ecological resilience through industrial structure upgrading, while the moderating effects of alternative policy combinations are deemed insufficient. Finally, relevant policy recommendations are proposed to effectively improve ecological resilience.
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Affiliation(s)
- Weixue Lu
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, 230036, China
| | - Zhiyong Qin
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, 230036, China
| | - Shijuan Yang
- School of Business, Anhui University, Hefei, 230601, China.
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Galdos MV, Soares JR, Lourenço KS, Harris P, Zeri M, Cunha-Zeri G, Vargas VP, Degaspari IAM, Cantarella H. Multi-experiment assessment of soil nitrous oxide emissions in sugarcane. NUTRIENT CYCLING IN AGROECOSYSTEMS 2023; 127:375-392. [PMID: 38025204 PMCID: PMC10657304 DOI: 10.1007/s10705-023-10321-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 10/11/2023] [Indexed: 12/01/2023]
Abstract
Soil nitrous oxide (N2O) fluxes comprise a significant part of the greenhouse gas emissions of agricultural products but are spatially and temporally variable, due to complex interactions between climate, soil and management variables. This study aimed to identify the main factors that affect N2O emissions under sugarcane, using a multi-site database from field experiments. Greenhouse gas fluxes, soil, climate, and management data were obtained from 13 field trials spanning the 2011-2017 period. We conducted exploratory, descriptive and inferential data analyses in experiments with varying fertiliser and stillage (vinasse) type and rate, and crop residue rates. The most relevant period of high N2O fluxes was the first 46 days after fertiliser application. The results indicate a strong positive correlation of cumulative N2O with nitrogen (N) fertiliser rate, soil fungi community (18S rRNA gene), soil ammonium (NH4+) and nitrate (NO3-); and a moderate negative correlation with amoA genes of ammonia-oxidising archaea (AOA) and soil organic matter content. The regression analysis revealed that easily routinely measured climate and management-related variables explained over 50% of the variation in cumulative N2O emissions, and that additional soil chemical and physical parameters improved the regression fit with an R2 = 0.65. Cross-wavelet analysis indicated significant correlations of N2O fluxes with rainfall and air temperature up to 64 days, associated with temporal lags of 2 to 4 days in some experiments, and presenting a good environmental control over fluxes in general. The nitrogen fertiliser mean emission factors ranged from 0.03 to 1.17% of N applied, with urea and ammonium nitrate plus vinasse producing high emissions, while ammonium sulphate, ammonium nitrate without vinasse, calcium nitrate, and mitigation alternatives (nitrification inhibitors and timing of vinasse application) producing low N2O-EFs. Measurements from multiple sites spanning several cropping seasons were useful for exploring the influence of environmental and management-related variables on soil N2O emissions in sugarcane production, providing support for global warming mitigation strategies, nitrogen management policies, and increased agricultural input efficiency. Supplementary Information The online version contains supplementary material available at 10.1007/s10705-023-10321-w.
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Affiliation(s)
- M. V. Galdos
- Rothamsted Research, Sustainable Soils and Crops, Harpenden, AL5 2JQ UK
| | - J. R. Soares
- School of Agricultural Engineering (FEAGRI), University of Campinas (UNICAMP), Av. Cândido Rondon, 501, Campinas, SP 13083-875 Brazil
| | - K. S. Lourenço
- Soils and Environmental Resources Centre, Agronomic Institute of Campinas (IAC), Av. Barao de Itapura 1481, Campinas, SP 13020-902 Brazil
| | - P. Harris
- Rothamsted Research, Net Zero and Resilient Farming, North Wyke, Okehampton, Devon, EX20 2SB UK
| | - M. Zeri
- National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), São José dos Campos, Brazil
| | - G. Cunha-Zeri
- National Institute for Space Research (INPE), São José dos Campos, Brazil
| | - V. P. Vargas
- Soils and Environmental Resources Centre, Agronomic Institute of Campinas (IAC), Av. Barao de Itapura 1481, Campinas, SP 13020-902 Brazil
| | - I. A. M. Degaspari
- Soils and Environmental Resources Centre, Agronomic Institute of Campinas (IAC), Av. Barao de Itapura 1481, Campinas, SP 13020-902 Brazil
| | - H. Cantarella
- Soils and Environmental Resources Centre, Agronomic Institute of Campinas (IAC), Av. Barao de Itapura 1481, Campinas, SP 13020-902 Brazil
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Yang Z, Sun H, Yuan W, Xia X. Spatial mismatch and its evolution of new energy consumption, industrial structure upgrading, and carbon carrying capacity. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:96726-96745. [PMID: 37580478 DOI: 10.1007/s11356-023-28863-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 07/14/2023] [Indexed: 08/16/2023]
Abstract
In view of the problems of insufficient exploitation of carbon emission reduction potential and low-carbon emission reduction efficiency caused by the spatial mismatch of economy, society, and ecological environment, this study used the ArcGIS10.8 intuitive expression tool, the barycenter model, and the spatial mismatch index to systematically investigate the spatial-temporal pattern and its spatial mismatch characteristics of new energy consumption, industrial structure upgrading, and carbon carrying capacity in 30 provinces in China from 2009 to 2019. The findings of this study included mainly the following aspects. (1) The new energy consumption level showed the significant differences in spatial aggregation. The industrial structure upgrading level decreased from the southeast to the northwest. The carbon carrying state showed the gradual geographical evolution characteristics of the empty load, suitable basic load, suitable load, and overload from the southeast to the northwest. (2) The barycenter of new energy consumption shifted from the south to the north; the barycenter of industrial structure upgrading presented a phased migration trajectory of first to the northwest, then to the south, and then to the southwest; the barycenter of carbon carrying capacity oscillated from the southwest to the northeast. (3) Provinces with the positive mismatch of new energy consumption, industrial structure upgrading, and carbon carrying capacity were widely distributed, but provinces with the negative mismatch were sporadically distributed. The spatial mismatch degree of the three elements tended to expand on the whole, but the direction and magnitude of change were different. The high mismatch areas showed a trend of agglomeration in eastern coastal economic circles such as the Bohai Rim, the Yangtze River Delta, and the Pearl River Delta. Moreover, the high mismatch areas showed a trend of westward spread. (4) The contribution of province to the overall spatial mismatch decreased from the eastern to the western. This study would provide a reference for the related research on carbon peaking, carbon neutrality, and the coordinated high-quality development between economy-society and ecological environment.
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Affiliation(s)
- Zedong Yang
- Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi, 830046, Xinjiang, China
- School of Economics and Management, Xinjiang University, Urumqi, 830046, Xinjiang, China
| | - Hui Sun
- Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi, 830046, Xinjiang, China.
- School of Economics and Management, Xinjiang University, Urumqi, 830046, Xinjiang, China.
| | - Weipeng Yuan
- Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi, 830046, Xinjiang, China
- School of Economics and Management, Xinjiang University, Urumqi, 830046, Xinjiang, China
| | - Xuechao Xia
- Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi, 830046, Xinjiang, China
- School of Economics and Management, Xinjiang University, Urumqi, 830046, Xinjiang, China
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Liu P, Zhao R, Han X. Assessing the influence of energy transition on economic-social growth: the case of China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-29009-3. [PMID: 37566325 DOI: 10.1007/s11356-023-29009-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/23/2023] [Indexed: 08/12/2023]
Abstract
In recent years, because of the one-sided interpretation of the nexus between the green & low-carbon energy transition and the high-quality economic-social growth, some over-idealized due-oriented judgments have led to failures in theories or deviations from practices. It is necessary and typical to select the panel data of 30 provinces in China from 2010 to 2020 to demonstrate that nexus, since China plays a different role in both climate change and global energy security. This paper defines and measures both the high-quality economic-social growth and the green & low-carbon energy transition efficiency. After analyzing the structure characteristics of energy transition, it also discusses the impact of the transition efficiency on the high-quality growth. The results indicate that the inflection point from quantitative to qualitative change in the regional high-quality growth has not yet arrived, while the developed regions and the developing regions are still grappling with pronounced problems of imbalance and insufficiency. As far as now, the energy transition efficiency in the energy resource centers is much higher than that in the energy load centers. The provinces with a characteristic of energy supply-demand equilibrium have seamlessly shifted from the Introduction stage of green & low-carbon development to the Growth stage. Both the decrease in energy intensity and the increase in renewable share are able to promote high-quality economic-social development obviously; however, the reduction of per capita carbon emission cannot yield the expected positive externality in a short run.
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Affiliation(s)
- Pingkuo Liu
- College of Economics and Management, Shanghai University of Electric Power, Shanghai, 200090, China.
- , Chifeng, Inner Mongolia, China.
| | - Ruiqi Zhao
- College of Economics and Management, Shanghai University of Electric Power, Shanghai, 200090, China
- , Jiamusi, Heilongjiang, China
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Li R, Zhao R, Yu J, Ding M, Hou L, Xie Z, Xiao L, Chuai X. Carbon allowance allocation based on comprehensive performance of carbon emissions: Case of typical industries in Zhengzhou. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-28159-8. [PMID: 37326739 DOI: 10.1007/s11356-023-28159-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 06/03/2023] [Indexed: 06/17/2023]
Abstract
Studying the comprehensive performance of industrial carbon emission has profound significance for improving carbon allowance allocation scheme and achieving the carbon neutrality target. The paper selects 181 enterprises in Zhengzhou as the case, a comprehensive carbon emission performance indicator system and a carbon allowance allocation model were established, and compared with other allocation schemes (historical/baseline method). The results showed that the overall differences in the comprehensive performance evaluation indicator of carbon emissions in typical industries in Zhengzhou were obvious, and there was a correlation with the characteristics of industrial production activities. The overall emission reduction of Zhengzhou was 244.33×103t, and the emission reduction ratio was 7.94% by simulating carbon allowance allocation under the comprehensive performance. The carbon allowance allocation method based on the comprehensive performance has the strongest restraint on the "high emission, low performance" industry, which is more equitable and more conducive to carbon emission reduction. In the future, it will be recommended to give full play to the leading role of the government, implement industrial carbon allowance allocation based on the comprehensive performance evaluation of carbon emissions, to achieve multi-objectives of resource conservation, environmental pollution abatement, and carbon reduction.
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Affiliation(s)
- Ruishi Li
- College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, 450046, Henan Province, China
| | - Rongqin Zhao
- College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, 450046, Henan Province, China.
| | - Jiao Yu
- College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, 450046, Henan Province, China
| | - Minglei Ding
- College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, 450046, Henan Province, China
| | - Lipeng Hou
- College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, 450046, Henan Province, China
- Xiamen Urban Planning&Design Institute Co.,Ltd, Xiamen, 361000, Fujian Province, China
| | - Zhixiang Xie
- College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, 450046, Henan Province, China
- Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, 475004, Henan Province, China
| | - Liangang Xiao
- College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, 450046, Henan Province, China
| | - Xiaowei Chuai
- School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, Jiangsu Province, China
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Liu Y. The role of OFDI in home-country pollution: insights from LMDI and 3SLS approaches. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:68636-68654. [PMID: 37126183 PMCID: PMC10150693 DOI: 10.1007/s11356-023-27301-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 04/25/2023] [Indexed: 05/04/2023]
Abstract
Under the global climate crisis, harnessing investment for sustainable development is a practical and effective measure for international society. Based on the logarithmic mean Divisia index (LMDI) decomposition and three-stage least squares (3SLS) structural approaches, this study explores the home-country pollution reduction effect of Chinese OFDI activities using the city-level panel data from 2007 to 2019. The findings of this study indicate that (1) China has made a remarkable achievement in PM2.5 pollution reduction and governance, especially from the year 2012. (2) The OFDI activities can significantly decrease the home-country PM2.5 pollution. With every 1% increase in OFDI flows, the overall pollution level will decrease by 0.76%. (3) Compared with the scale mechanism, the technology and composition mechanism effects of OFDI flows are more evident in addressing the home-country PM2.5 pollution. With several related policy implications, this study may fill the lacuna of how to play the role of OFDI activities in the home country, thus promoting sustainable development in the next stage.
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Affiliation(s)
- Yishuang Liu
- School of Economics and Management, Wuhan University, Wuhan, Hubei, China.
- Institute for International Studies, Wuhan University, Hubei, Wuhan, China.
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7
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Wang X, Lu C, Cao Y, Chen L, Abedin MZ. Decomposition, decoupling, and future trends of environmental effects in the Beijing-Tianjin-Hebei region: A regional heterogeneity-based analysis. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 331:117124. [PMID: 36630799 DOI: 10.1016/j.jenvman.2022.117124] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 12/18/2022] [Accepted: 12/21/2022] [Indexed: 06/17/2023]
Abstract
The green growth of Beijing-Tianjin-Hebei (BTH) urban agglomeration plays a leading and exemplary role in overcoming internal resource restrictions, addressing climate change, and supporting China's high-quality growth. From the standpoint of pollution reduction and carbon reduction, this paper first conducts a comprehensive evaluation of the environmental impact based on combined weighting technique. The Logarithmic Mean Divisia Index (LMDI) model is used to decompose the environmental impact drivers in distinct areas. A decoupling effort index is further constructed to measure the effect of various efforts on the decoupling of economic growth and environmental impact, the improved grey Markov model is applied to predict the future trend of regional decoupling efforts. The results of empirical analysis based on data of the BTH region during 2011-2018 show that: 1) the environmental impact index of Beijing is the lowest followed by Tianjin and Hebei; 2) environmental regulation exerts the most significant impact on reducing environmental pressure in Beijing while technology progress and energy intensity have the most significant effect on easing environmental pressure in Tianjin; 3) strong decoupling efforts have been found in Beijing, Tianjin and Hebei, however, such effect is more significant in Beijing; 4) Beijing's decoupling state is mostly driven by regulatory effect, intensity effect, and scale effect, while Tianjin and Hebei's decoupling states are primarily driven by improvements in environmental regulation and energy intensity; 5) according to the forecast outcome of the improved grey Markov technique, a state of strong decoupling effort will be maintained in the BTH area by 2025, and the decoupling effort index in Beijing will remain the highest while the index in Hebei will remain the lowest.
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Affiliation(s)
- Xiaoling Wang
- School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China; The Institute of Low Carbon Operations Strategy for Beijing Enterprises, University of Science and Technology Beijing, Beijing, 100083, China.
| | - Chang Lu
- School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China.
| | - Ying Cao
- School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China.
| | - Lili Chen
- School of International Economics and Management, Beijing Technology and Business University, Beijing, 100048, China.
| | - Mohammad Zoynul Abedin
- Teesside University International Business School, Teesside University, Middlesbrough, TS1 3BX, UK; Sustainable Finance Research Group (SFRG), Teesside University International Business School, Teesside University, Middlesbrough, TS1 3BX, UK.
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Shao Y, He Q, Fu Y, Liu Y. Construction of the comprehensive evaluation system of waterbody pollution degree and the response of sedimentary microbial community. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 317:120837. [PMID: 36493934 DOI: 10.1016/j.envpol.2022.120837] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/06/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
This study proposed and established a comprehensive evaluation system for the pollution degree of the waterbody by taking overlying water and sediment as a whole. By dividing different sampling points into three gradients according to the pollution degree, the changes in sedimentary microbes under various pollution gradients were compared. The results showed that microbial diversity, abundance and specific OTUs decreased significantly with the increase in pollution degree. Meanwhile, Firmicutes, Bacteroidota and Caldiseriota increased in the severely polluted group, while Chloroflexi and Acidobacteriota decreased. Spearman correlation analysis and co-occurrence network revealed that COD, pH in overlying water, and Mn, Fe in sediments were the most significant pollution degree evaluation indicators affecting sedimentary microorganisms, which drove the sedimentary microbial communities dominated by Proteobacteria and Firmicutes. FAPROTAX functional prediction indicated that increased pollution levels led to the weakening of functional genes related to nitrogen metabolism and sulfur metabolism and the increase of functional genes related to carbon metabolism in sediment microorganisms. This study not only provided new insights into waterbody pollution evaluation but also verified the feasibility of this evaluation method by the response of sedimentary microbial communities to different pollution degrees.
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Affiliation(s)
- Yitong Shao
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
| | - Qi He
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
| | - Yongsheng Fu
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
| | - Yiqing Liu
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China.
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Zhuang X, Li X, Xu Y. How Can Resource-Exhausted Cities Get Out of "The Valley of Death"? An Evaluation Index System and Obstacle Degree Analysis of Green Sustainable Development. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16976. [PMID: 36554858 PMCID: PMC9779337 DOI: 10.3390/ijerph192416976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 12/12/2022] [Accepted: 12/14/2022] [Indexed: 06/17/2023]
Abstract
Resource-based cities are suffering from resource scarcity and environmental deterioration. Spirit, vitality and prosperity are disappearing and cities have moved towards "the valley of death" in terms of urban development. This typically appears in environments where it is difficult to maintain sustainable development. Based on empirical analysis, a qualitative analysis method for the selection of evaluation indicators, as well as a quantitative analysis method for index weighting and principal component extraction for constructing a three-level evaluation index system of green development for coal-resource-exhausted cities, was adopted. This study also discussed the life cycle at different development stages of resource-based cities, including mature resource-based and growing resource-based cities. We further argued that the obstacle degree can act as an evaluation basis and make recommendations accordingly to improve the green development of cities. Through star-standard divisions and statistical analysis, it can be explicated that the increase in green development in the first stage is greater than that in the later stage, which is more obvious in cities with lower stars. The results also show the evolution trend and stability coefficient. There is no end in sight for urban green development, and this study can provide a new perspective to relieve the declining trend and promote green sustainable development.
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Affiliation(s)
- Xinyu Zhuang
- College of Quality & Standardization, Qingdao University, Qingdao 266071, China
| | - Xin Li
- School of Tourism and Geography Science, Qingdao University, Qingdao 266071, China
- Advanced Institute of Culture & Tourism, Qingdao University, Qingdao 266071, China
| | - Yisong Xu
- School of Business, Qingdao University, Qingdao 266071, China
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