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学者姓名：袁晓玲
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本文基于污染和吸收两个视角构建包含大气、土壤、水体3个要素的环境质量研究体系,选取国务院按照新标准监测划定的74个城市2005-2018年数据为样本,采用中介效应模型实证检验现阶段中国城镇化对环境质量的影响机制及效果,进一步识别其在市场主导型城镇化推进模式与政府主导型城镇化推进模式之间以及不同经济发展水平的城市之间是否存在差异.研究发现:现阶段中国城镇化进程对环境质量总体上造成了负面影响,既加剧了环境污染排放又抑制了环境吸收能力;居民消费水平、土地利用方式和产业结构是城镇化影响环境质量的主要途径;城镇化推动模式及经济发展水平异质性的研究结果表明,市场主导型城市、一线及新一线城市的城镇化进程促进了环境质量提升.本研究为政府在环境约束下如何提高城市发展质量提供了理论依据和经验支持.
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| GB/T 7714 | 邸勍 , 袁晓玲 , 王书蓓 . 城镇化影响环境质量的典型机制与差异化研究 [J]. | 当代经济科学 , 2021 , 43 (3) : 94-106 . |
| MLA | 邸勍 等. "城镇化影响环境质量的典型机制与差异化研究" . | 当代经济科学 43 . 3 (2021) : 94-106 . |
| APA | 邸勍 , 袁晓玲 , 王书蓓 . 城镇化影响环境质量的典型机制与差异化研究 . | 当代经济科学 , 2021 , 43 (3) , 94-106 . |
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在对城市高质量发展的科学内涵与基本框架分析后,指出城市高质量发展是将人口、经济、空间、社会和协同发展等要素以更加科学、系统和全面的视角相整合,从而促使城市发展系统处于帕累托最优的状态,不同发展阶段均有其最优状态.在此基础上,分别回顾了大小城市发展之争、制度体制改革释放经济增长活力、向最优布局要发展空间、多方主体参与下的治理体系现代化和城际协同发展体系构建等5个核心问题研究进展,并指出未来应构建城市高质量发展系统动力模型,探究不同发展阶段下城市高质量发展条件,进而探究人口规模提升路径、现代化经济体系构建、最优空间布局、多元社会治理模式和最优协同发展体系,从而促进中国城市的高质量建设发展.
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| GB/T 7714 | 袁晓玲 , 郗继宏 , 李朝鹏 et al. 为城市发展定标:科学内涵、基本框架与核心问题 [J]. | 城市发展研究 , 2021 , 28 (6) : 17-24 . |
| MLA | 袁晓玲 et al. "为城市发展定标:科学内涵、基本框架与核心问题" . | 城市发展研究 28 . 6 (2021) : 17-24 . |
| APA | 袁晓玲 , 郗继宏 , 李朝鹏 , 杨历 . 为城市发展定标:科学内涵、基本框架与核心问题 . | 城市发展研究 , 2021 , 28 (6) , 17-24 . |
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The social and economic development in China has not only made a series of great achievements but also suffered from increasingly serious air pollution. It is of great significance to explore the co-governance mechanism of air pollution in order to promote high-quality development and the construction of "beautiful China." Based on an analysis using the concept of co-governance, this paper reviews the research from four aspects: the multi-object relationships, multi-agent framework, and the co-governance technical tools and policy tools. The results show that the current research has many deficiencies: a lack of research on the size, direction, and driving factors of the correlation of objects; the construction of the multi-agent framework focused only on concepts and lacking the design of core mechanisms; evaluating only the effect of tools but ignoring the optimal combination of governance tools, and paying attention only to the traditional pollutants and disregarding the latest air pollution. Accordingly, this paper finds that the research should be expanded from four aspects, which include taking into account the co-governance of new air pollution, clarifying the relationship between the various types of air pollutants and the driving factors, building a multi-disciplinary research framework for co-governance, and optimizing the combination of governance policies and technical tools in order to realize high-quality development of China.
Keyword ：
Agents Air pollution China Co-governance Objects Tools
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| GB/T 7714 | Li, Zhaopeng , Yuan, Xiaoling , Xi, Jihong et al. The objects, agents, and tools of Chinese co-governance on air pollution: a review [J]. | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2021 , 28 (20) : 24972-24991 . |
| MLA | Li, Zhaopeng et al. "The objects, agents, and tools of Chinese co-governance on air pollution: a review" . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 28 . 20 (2021) : 24972-24991 . |
| APA | Li, Zhaopeng , Yuan, Xiaoling , Xi, Jihong , Yang, Li . The objects, agents, and tools of Chinese co-governance on air pollution: a review . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2021 , 28 (20) , 24972-24991 . |
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This paper has an opportunity to collect questionnaire-based data regarding respondents' life choices in China at the peak of COVID-19 outbreak (i.e., around 9-11 March 2020) and in a relatively stable period where the national pandemic was over and the lockdown policy was halted (i.e., around 25-30 March 2020). Comparing respondents' answers about their most fundamental aspects of life during and after the pandemic, including income level, expenditure structure and level, purchase method, study method, food price and quality, and dining habit, both the descriptive and econometric models reveal that Chinese consumers' life patterns were not significantly changed. These findings may imply a "new normal" where consumers stick to their new living habits that were forged during the pandemic. Therefore, policy makers have to envisage such an implicative socio-economic change (cost) brought by the implementation of a lock down policy in a long run, in addition to direct and explicit economic losses. However, improving food quality and controlling food price appear to be the strong and stable safety signals to reassure consumers in this complicated environment.
Keyword ：
COVID-19 living habits lock down socio-economic cost
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| GB/T 7714 | Yuan, Xiaoling , Li, Caijuan , Zhao, Kai et al. The Changing Patterns of Consumers' Behavior in China: A Comparison during and after the COVID-19 Pandemic [J]. | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH , 2021 , 18 (5) . |
| MLA | Yuan, Xiaoling et al. "The Changing Patterns of Consumers' Behavior in China: A Comparison during and after the COVID-19 Pandemic" . | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 18 . 5 (2021) . |
| APA | Yuan, Xiaoling , Li, Caijuan , Zhao, Kai , Xu, Xiaoyu . The Changing Patterns of Consumers' Behavior in China: A Comparison during and after the COVID-19 Pandemic . | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH , 2021 , 18 (5) . |
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With China already committing to peak carbon dioxide emissions before 2030 and achieving carbon neutrality before 2060, green development is urgent. It is necessary to clarify the driving mechanism of green development to design the path of green development scientifically. From the internal perspective of the green development system, this paper divides the green development power into external power and internal power. The external power is the political pressure formed by the public's green demands. The internal power is the endogenous power of green development transformed by the political promotion willingness of local government leaders. The research shows that (1) the green demands from the public and the accompanying political pressure can form the driving force of green development. (2) The political promotion intention has not been transformed into the endogenous driving force to promote green development in the research period. (3) The external driving force of public appeal is closely related to economic development, income and consumption levels, and education. This paper enriches the research literatures on the driving mechanism of green development and provides theoretical and practical exploration for the driving path of green development.
Keyword ：
Green development Local government willingness MEBM-Luenberger Public pressures Total factor productivity
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| GB/T 7714 | Li, Zhengda , Hou, Yihan , Cao, Junli et al. What drives green development in China: public pressure or the willingness of local government? [J]. | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2021 , 29 (4) : 5454-5468 . |
| MLA | Li, Zhengda et al. "What drives green development in China: public pressure or the willingness of local government?" . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 29 . 4 (2021) : 5454-5468 . |
| APA | Li, Zhengda , Hou, Yihan , Cao, Junli , Ding, Yanping , Yuan, Xiaoling . What drives green development in China: public pressure or the willingness of local government? . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2021 , 29 (4) , 5454-5468 . |
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Purpose China's national carbon market will be officially launched in 2020, when it will become the world's largest carbon market. However, China's carbon market is faced with various major challenges. One of the most important challenges is its impact on the social and economic development of arid and semi-arid regions. By simulating the carbon price trends under different economic development and energy consumption levels, this study aims to help the government can plan ahead to formulate various countermeasures to promote the integration of arid and semi-arid regions into the national carbon market. Design/methodology/approach To achieve this goal, this paper builds a back propagation neural network model, takes the third phase of the European Union Emissions Trading System (EU ETS) as the research object and uses the mean impact value method to screen out the important driving variables of European Union Allowance (EUA) price, including economic development (Stoxx600, Stoxx50, FTSE, CAC40 and DAX), black energy (coal and Brent), clean energy (gas, PV Crystalox Solar and Nordex) and carbon price alternatives Certification Emission Reduction (CER). Finally, this paper sets up six scenarios by combining the above variables to simulate the impact of different economic development and energy consumption levels on carbon price trends. Findings Under the control of the unchanged CER price level, economic development, black energy and clean energy development will all have a certain impact on the EUA price trends. When economic development, black energy consumption and clean energy development are on the rise, the EUA price level will increase. When the three types of variables show a downward trend, except for the sluggish development of clean energy, which will cause the EUA price to rise sharply, the EUA price trend will also decline accordingly in the remaining scenarios. Originality/value On the one hand, this paper incorporates driving factors of carbon price into the construction of carbon price prediction system, which not only has higher prediction accuracy but also can simulate the long-term price trend. On the other hand, this paper uses scenario simulation to show the size, direction and duration of the impact of economic development, black energy consumption and clean energy development on carbon prices in a more intuitive way.
Keyword ：
Carbon price EU ETS Neural network model Situational simulation
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| GB/T 7714 | Li, Zhao-Peng , Yang, Li , Li, Si-Rui et al. The Long-Term Trend Analysis and Scenario Simulation of the Carbon Price Based on the Energy-Economic Regulation [J]. | INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT , 2020 , 12 (5) : 653-668 . |
| MLA | Li, Zhao-Peng et al. "The Long-Term Trend Analysis and Scenario Simulation of the Carbon Price Based on the Energy-Economic Regulation" . | INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT 12 . 5 (2020) : 653-668 . |
| APA | Li, Zhao-Peng , Yang, Li , Li, Si-Rui , Yuan, Xiaoling . The Long-Term Trend Analysis and Scenario Simulation of the Carbon Price Based on the Energy-Economic Regulation . | INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT , 2020 , 12 (5) , 653-668 . |
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Through exploring price characteristics of carbon futures products in EU ET, this paper aims to provide China's policy makers with meaningful materials and references for understanding how a carbon trading market can be established and well regulated. Based on the dataset comprising of multiple sources including Euro stoxx600 index, coal and crude oil prices, natural gas prices and European clean energy company stock prices, etc., this paper uses BP neural network model to simulate the long-term trends of carbon futures prices in six scenarios that represent the typical features of a carbon trading market. The results show that: (1) the magnitude of economic development's effect on carbon price is the largest among other factors, with the shortest duration; (2) in comparison, the effect of black energy consumption is weaker, but its lasting duration is the longest; (3) the impact of clean energy development on carbon price is similar to that of black energy, but the effect magnitude and lasting duration are relatively smaller. These findings suggest three viable directions for the development of China's carbon trading market in future i.e. adjusting total quotas in accordance with economic development, establishing market price stabilization mechanism, and developing clean energy. The novelty of this paper is to simulate the long-term trend of carbon prices by constructing a carbon price prediction system. © 2020 Elsevier B.V.
Keyword ：
Carbon Costs Crude oil price Economic and social effects Electronic trading Emission control Energy utilization Gas emissions Natural gas Natural gasoline plants Neural networks
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| GB/T 7714 | Li, Zhao-Peng , Yang, Li , Zhou, Yi-Nan et al. Scenario simulation of the EU carbon price and its enlightenment to China [J]. | Science of the Total Environment , 2020 , 723 . |
| MLA | Li, Zhao-Peng et al. "Scenario simulation of the EU carbon price and its enlightenment to China" . | Science of the Total Environment 723 (2020) . |
| APA | Li, Zhao-Peng , Yang, Li , Zhou, Yi-Nan , Zhao, Kai , Yuan, Xiao-Ling . Scenario simulation of the EU carbon price and its enlightenment to China . | Science of the Total Environment , 2020 , 723 . |
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Doubtless, China's long-term extensive development model has exacerbated environmental pollution, thus posing a great threat to the health of its residents. Against this background, the present paper constructs a comprehensive system for evaluating environmental pollution from the perspective of environmental pollution and natural purification, and then empirically analyzes the impact of environmental pollution on the "near-term health," "self-rated health", and "mental health" of Chinese residents via the Hierarchical Linear Model based on the data from China Family Panel Studies in 2016. This paper focuses on the impact of environmental pollution on physical health as well as on mental health. The results are as follows: (1) although environmental pollution in China has no significant negative impact on the "near-term health" of residents, it can reduce the levels of "self-rated health" and "mental health" of residents; (2) environmental pollution causes more health losses to the low-income group and residents in underdeveloped cities in central and western China. It is argued that perfecting public services is an important way to improve residents' physical and mental health in the process of urbanization in China.
Keyword ：
city Environmental pollution health public service urban economy
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| GB/T 7714 | Yuan, Xiaoling , Li, Hao , Zhao, Jinkai . Impact of Environmental Pollution on Health-Evidence from Cities in China [J]. | SOCIAL WORK IN PUBLIC HEALTH , 2020 , 35 (6) : 413-430 . |
| MLA | Yuan, Xiaoling et al. "Impact of Environmental Pollution on Health-Evidence from Cities in China" . | SOCIAL WORK IN PUBLIC HEALTH 35 . 6 (2020) : 413-430 . |
| APA | Yuan, Xiaoling , Li, Hao , Zhao, Jinkai . Impact of Environmental Pollution on Health-Evidence from Cities in China . | SOCIAL WORK IN PUBLIC HEALTH , 2020 , 35 (6) , 413-430 . |
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基于中国30个省份2007—2015年的面板数据,选取工业固体废物污染、工业废水污染、工业二氧化硫污染等三种不同类型环境污染,分别采用空间计量模型和普通面板回归模型,对地方财政支出结构和规模变化对不同类型环境污染的影响进行了评估.研究结果表明:工业固体废物污染和工业废水污染具有较强空间正相关性,呈现出局部"俱乐部"特征;地方财政支出变化对环境污染的影响具有异质性,优化地方财政支出结构能降低工业废水污染和工业二氧化硫污染,而地方财政支出规模上升则加剧了工业固体废物污染;地方财政支出变化对相邻地区环境污染具有正向空间溢出影响,表明地方政府的同时,是以牺牲周围地区环境质量为代价在促进自身社会经济发展.
Keyword ：
财政支出规模 财政支出结构 环境污染 空间溢出效应
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| GB/T 7714 | 袁晓玲 , 吴琪 , 李朝鹏 . 中国地方财政支出变化对环境污染影响的研究 [J]. | 北京工业大学学报（社会科学版） , 2019 , 19 (5) : 72-83 . |
| MLA | 袁晓玲 et al. "中国地方财政支出变化对环境污染影响的研究" . | 北京工业大学学报（社会科学版） 19 . 5 (2019) : 72-83 . |
| APA | 袁晓玲 , 吴琪 , 李朝鹏 . 中国地方财政支出变化对环境污染影响的研究 . | 北京工业大学学报（社会科学版） , 2019 , 19 (5) , 72-83 . |
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High-quality guided development and environmental forcing are two routes for China's green development, and each has different focuses and outcomes. The aim of this study is to clarify coordinated mechanisms to reveal the reasons and determine paths for China's green development. A research framework for synergetic evolution is established, and the Haken model is applied to analyze the different effects of high-quality development that guide resource- and environmental-forcing mechanisms. This research showed that: (1) the preferred route and key factor in China's green development is high-quality developmental guidance; (2) high-quality development and environmental-forcing mechanisms are non-coordinated, and while the former might coordinate with the latter, the latter does not; (3) mutual promotion of high-quality developmental guidance and the resource mechanism was not observed; (4) the critical point coordinated value is 0.5686 for China's green development. Eastern China possesses a relatively high level of green development, while the north, east, west, and central areas of the country still have much progress to make.
Keyword ：
forcing mechanism green development Haken model high-quality development route selection
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| GB/T 7714 | Li, Zhengda , Yang, Wanping , Wang, Chengjun et al. Guided High-Quality Development, Resources, and Environmental Forcing in China's Green Development [J]. | SUSTAINABILITY , 2019 , 11 (7) . |
| MLA | Li, Zhengda et al. "Guided High-Quality Development, Resources, and Environmental Forcing in China's Green Development" . | SUSTAINABILITY 11 . 7 (2019) . |
| APA | Li, Zhengda , Yang, Wanping , Wang, Chengjun , Zhang, Yuesheng , Yuan, Xiaoling . Guided High-Quality Development, Resources, and Environmental Forcing in China's Green Development . | SUSTAINABILITY , 2019 , 11 (7) . |
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