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Abstract ：
As Artificial Intelligence (AI) technology advances rapidly, its role in promoting regional energy transformation is becoming increasingly apparent. This paper utilizes regional-level panel data from China, covering the period from 2011 to 2021, to systematically assess the impact of AI development on energy transformation. Using econometric models, including fixed-effects and instrumental variable regressions, the study reveals that an increase in AI enterprises within a region significantly reduces energy consumption per unit of GDP, thereby accelerating regional energy transition. The analysis identifies two primary channels through which AI exerts this effect: by facilitating the upgrading of the regional industrial structure and by promoting the growth of the digital economy. The findings also show that the impact of AI is more pronounced in highly urbanized regions, particularly in the Yangtze River Economic Belt. Additionally, the results highlight that AI-driven reductions in energy consumption are largely achieved through improved efficiency in coal and electricity usage, addressing key structural issues in China's energy landscape.
Keyword ：
Artificial Intelligence Artificial Intelligence Digital economy Digital economy Energy consumption Energy consumption Regional disparity Regional disparity Structural change Structural change
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| GB/T 7714 | Zhao, Zuoxiang , Zhao, Qiuyun , Li, Siqi et al. Artificial Intelligence-driven regional energy transition:Evidence from China [J]. | ECONOMIC ANALYSIS AND POLICY , 2025 , 85 : 48-60 . |
| MLA | Zhao, Zuoxiang et al. "Artificial Intelligence-driven regional energy transition:Evidence from China" . | ECONOMIC ANALYSIS AND POLICY 85 (2025) : 48-60 . |
| APA | Zhao, Zuoxiang , Zhao, Qiuyun , Li, Siqi , Yan, Jiajia . Artificial Intelligence-driven regional energy transition:Evidence from China . | ECONOMIC ANALYSIS AND POLICY , 2025 , 85 , 48-60 . |
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In this paper, we utilize panel data encompassing 44 emerging market countries from 1996 to 2020 to investigate the impact of openness on financial development and rethink the interrelationship between trade openness and financial openness. Our findings indicate that openness contributes to the promotion of financial development. Furthermore, this paper extends and refines the classification of open relationships by considering three distinct types of policymakers: prudent, radical, and discretionary. Through this categorization, we shed light on the ambiguity of the marginal effects of trade and financial opening policies.
Keyword ：
Emerging markets Emerging markets Finance openness Finance openness Financial development Financial development Trade openness Trade openness
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| GB/T 7714 | Liang, Yinghao , Yan, Jiajia . The impact of the openness of trade and finance on financial development: Evidence from emerging markets [J]. | EMERGING MARKETS REVIEW , 2025 , 65 . |
| MLA | Liang, Yinghao et al. "The impact of the openness of trade and finance on financial development: Evidence from emerging markets" . | EMERGING MARKETS REVIEW 65 (2025) . |
| APA | Liang, Yinghao , Yan, Jiajia . The impact of the openness of trade and finance on financial development: Evidence from emerging markets . | EMERGING MARKETS REVIEW , 2025 , 65 . |
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The low-carbon city pilot policy (LCCPP) is a key initiative designed to promote low-carbon development and sustainable economic growth. To maximize its environmental and economic benefits, it is essential to conduct a comprehensive evaluation of the policy's influence on the transformation of the low-carbon economy (TLCE). This paper spans the period from 2003 to 2021, analyzing a sample of 281 Chinese cities at the prefecture level or higher. First, the research employs the super-efficient EBM-GML model, incorporating non-desired outputs, to measure the TLCE. Second, the progressive difference-in-differences model integrates the TLCE into the assessment framework of the LCCPP, allowing for an empirical analysis of its effects on the transformation. Third, a heterogeneity analysis is conducted from various perspectives, including the "Hu Huanyong line, " coastal and inland cities, and environmental protection priority cities. Finally, the paper investigates the linear mechanisms of the LCCPP on the TLCE across three dimensions: environment, economy, and technology. The environmental dimension reflects urban ecological resilience, the economic dimension pertains to the development level of the digital economy, and the technological dimension relates to scientific and technological innovation activity. Additionally, the paper examines the nonlinear mechanisms through which the LCCPP affects the TLCE, focusing on environmental regulation and factor endowment. The results indicate that: 1) The LCCPP significantly facilitates the TLCE in the experimental areas, with findings remaining robust across various tests, including parallel trend test, SDID, a test of heterogeneity in treatment effects, and PSM-DID. 2) Heterogeneity analysis shows the policy's impact is stronger in cities south of the "Hu Huanyong line, " as well as in coastal cities and environmental protection priority cities. 3) Linear mechanism analysis indicates that urban ecological resilience, the development level of the digital economy, and scientific and technological innovation activity serve as partial intermediaries in the TLCE influenced by the LCCPP. 4) Nonlinear mechanism analysis indicates that environmental regulation and factor endowment influence TLCE in nonlinear ways, with effects varying across different threshold stages. Specifically, when environmental regulation and factor endowment are at varying developmental stages, the LCCPP effect tends to follow a "first suppressed, then elevated" trend. Based on these findings, the paper recommends expanding the scope of the LCCPP and sharing experiences in low-carbon development to support achieving the "dual-carbon" goal within China's innovation strategy.
Keyword ：
Development level of the digital economy Development level of the digital economy Low-carbon city pilot policy Low-carbon city pilot policy Scientific and technological innovation activity Scientific and technological innovation activity Super-efficient EBM-GML model Super-efficient EBM-GML model Transformation of the low-carbon economy Transformation of the low-carbon economy Urban ecological resilience Urban ecological resilience
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| GB/T 7714 | Yan, Jiajia , Jie, Qiongnan . Mechanisms of policy intervention for China's transformation of the low-carbon economy [J]. | JOURNAL OF CLEANER PRODUCTION , 2025 , 487 . |
| MLA | Yan, Jiajia et al. "Mechanisms of policy intervention for China's transformation of the low-carbon economy" . | JOURNAL OF CLEANER PRODUCTION 487 (2025) . |
| APA | Yan, Jiajia , Jie, Qiongnan . Mechanisms of policy intervention for China's transformation of the low-carbon economy . | JOURNAL OF CLEANER PRODUCTION , 2025 , 487 . |
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本文选取2003-2021年中国281个地级市及以上城市为研究样本,运用包含非期望产出的超效率EBM-GML模型对低碳经济转型进行测度,并且采用渐进双重差分模型分析低碳城市试点政策对低碳经济转型的影响效应,进而从绿色技术进步和产业结构升级两个视角的多维因素探讨这一政策对低碳经济转型的线性和非线性作用机理.研究结果表明:(1)低碳城市试点政策有效促进了试点地区低碳经济转型.(2)以绿色技术创新和能源效率表征的绿色技术进步与以产业结构合理化和产业结构高级化表征的产业结构升级均发挥了部分中介作用.(3)进一步,在中介效应基础上进行门槛效应检验,表明中介变量所处的阶段不同,低碳城市试点政策对低碳经济转型具有明显的非线性影响.
Keyword ：
产业结构升级 产业结构升级 低碳城市试点政策 低碳城市试点政策 低碳经济转型 低碳经济转型 渐进双重差分模型 渐进双重差分模型 绿色技术进步 绿色技术进步 超效率EBM-GML模型 超效率EBM-GML模型
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| GB/T 7714 | 严佳佳 , 介琼楠 . 低碳城市试点政策对中国低碳经济转型的影响研究 [J]. | 经济问题探索 , 2025 , (2) : 144-163 . |
| MLA | 严佳佳 et al. "低碳城市试点政策对中国低碳经济转型的影响研究" . | 经济问题探索 2 (2025) : 144-163 . |
| APA | 严佳佳 , 介琼楠 . 低碳城市试点政策对中国低碳经济转型的影响研究 . | 经济问题探索 , 2025 , (2) , 144-163 . |
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This study investigates how financial institution agglomeration affects labor allocation efficiency in non-financial firms listed on China's A-share markets, within a context of expanded government debt and relaxed local debt financing controls. Results show that such agglomeration significantly improves labor efficiency, mainly by easing financing constraints. The positive impact is stronger in non-state-owned and manufacturing firms.
Keyword ：
Corporate labor allocation efficiency Corporate labor allocation efficiency Financial institution agglomeration Financial institution agglomeration
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| GB/T 7714 | Yan, Jiajia , Zhang, Chenyan . Financial institution agglomeration and corporate labor allocation efficiency-Based on the context of government debt expansion [J]. | FINANCE RESEARCH LETTERS , 2024 , 63 . |
| MLA | Yan, Jiajia et al. "Financial institution agglomeration and corporate labor allocation efficiency-Based on the context of government debt expansion" . | FINANCE RESEARCH LETTERS 63 (2024) . |
| APA | Yan, Jiajia , Zhang, Chenyan . Financial institution agglomeration and corporate labor allocation efficiency-Based on the context of government debt expansion . | FINANCE RESEARCH LETTERS , 2024 , 63 . |
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汇率政策作为一国货币当局进行宏观调控的一个集中体现,已经成为中美两国经贸领域角力的核心.美国倚赖美元优势地位压制中国在全球价值链上的崛起.因此,运用汇率政策摆脱美元霸权掣肘、攀升价值链成为中国构建新发展格局的关键.本文结合全球价值链框架下的汇率不完全传递特征,通过构建两国汇率政策博弈的一般性模型,剖析2008年全球金融危机和2020年疫情后中美汇率政策博弈的典型案例,验证发现,面对美国奉行保护主义的"胁迫"博弈,得益于扭转价值链分工地位的低端锁定局面,中国实现了从被动向主动应对的政策转变,却囿于美国内倾化的利益诉求而无法扩大各国的利益汇合点,导致不能达成以利益融合为原则的帕累托均衡.为了破解该困境,本文进一步以全球价值链的区域化重构趋势为着力点,论证构建以中国为主导的区域价值链,形成与区域内国家的博弈对称解是共赢选择.
Keyword ：
全球价值链 全球价值链 区域价值链 区域价值链 汇率政策 汇率政策
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| GB/T 7714 | 严佳佳 , 陈芳倩 . 全球价值链视域下汇率政策的中美博弈困境及应对 [J]. | 管理评论 , 2024 , 36 (9) : 14-26 . |
| MLA | 严佳佳 et al. "全球价值链视域下汇率政策的中美博弈困境及应对" . | 管理评论 36 . 9 (2024) : 14-26 . |
| APA | 严佳佳 , 陈芳倩 . 全球价值链视域下汇率政策的中美博弈困境及应对 . | 管理评论 , 2024 , 36 (9) , 14-26 . |
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以互联网、大数据、云计算等为代表的新技术革命给金融业带来巨大冲击,改变了金融业的发展路径和运营模式,也对金融人才提出更高要求.新文科建设为金融人才培养提供机遇,高校要立足新文科背景,以新技术为支撑,以行业需求为导向,优化金融人才培养模式.从新文科融合性、创新性、战略性、实践性等特征出发,明确新文科建设对于金融人才培养的要求,分析当前金融人才培养中存在的问题,从重塑人才培养目标、完善课程体系建设、创新教学模式、打造高质量师资队伍等方面提出对策建议,培养符合新文科建设要求的高质量金融人才.
Keyword ：
人才培养 人才培养 新文科 新文科 金融专业 金融专业
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| GB/T 7714 | 张婷 , 严佳佳 . 新文科建设下金融类专业人才培养模式研究 [J]. | 长春工程学院学报（社会科学版） , 2024 , 25 (3) : 115-119 . |
| MLA | 张婷 et al. "新文科建设下金融类专业人才培养模式研究" . | 长春工程学院学报（社会科学版） 25 . 3 (2024) : 115-119 . |
| APA | 张婷 , 严佳佳 . 新文科建设下金融类专业人才培养模式研究 . | 长春工程学院学报（社会科学版） , 2024 , 25 (3) , 115-119 . |
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改革开放以来,中国充分发挥比较优势并利用后来者优势,推动产业结构随着要素禀赋结构的变迁不断升级,顺次推进从劳动密集型的轻工业启动阶段到资本密集型的重工业发展阶段,再到技术密集型的高端装备制造业追赶阶段的工业现代化进程,实现长达40多年的经济"增长奇迹".可以预见,在2030年前中国将基本完成高端装备制造业追赶阶段,并开启中国工业现代化的第四个阶段,即数据科技创新阶段.此阶段会聚焦数据密集型产业,以数据为关键生产要素,在这一转型期,新质生产力作为工业高质量发展的核心驱动力,与工业高质量发展形成了紧密互动的良性循环.新质生产力通过技术创新、模式革新与产业融合,不断催生新产业、新业态,提升产业链现代化水平,为高质量发展提供强劲动力;高质量发展则要求持续优化资源配置,强化创新驱动,为新质生产力的孕育与成长创造更加有利的环境.在新质生产力视角下,为促进中国工业高质量发展,应重视产业的差异性,因势利导分类发展各类产业;充分考虑区域特色,根据地区资源禀赋基础制定符合比较优势的发展策略;针对不同产业的发展阶段,制定相应的升级路径;警惕"潮涌现象"和供求不平衡,适时适度地进行市场调控;重视人才培养,建立高效、灵活的人才引进体系.
Keyword ：
中国工业现代化 中国工业现代化 工业高质量发展 工业高质量发展 数据要素 数据要素 新质生产力 新质生产力 要素禀赋 要素禀赋
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| GB/T 7714 | 赵秋运 , 严佳佳 . 中国工业现代化、工业高质量发展与新质生产力 [J]. | 广西社会科学 , 2024 , (3) : 1-10 . |
| MLA | 赵秋运 et al. "中国工业现代化、工业高质量发展与新质生产力" . | 广西社会科学 3 (2024) : 1-10 . |
| APA | 赵秋运 , 严佳佳 . 中国工业现代化、工业高质量发展与新质生产力 . | 广西社会科学 , 2024 , (3) , 1-10 . |
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基于2013—2022年123家商业银行和宏观经济相关数据，运用加权无标度网络模型测算商业银行的系统性风险水平，并利用非平衡面板模型实证金融科技对商业银行系统性风险的影响。研究发现，金融科技的发展从整体上有助于商业银行的系统性风险的降低，但早期金融科技发展对商业银行系统性风险的影响并不显著，成熟期的金融科技能够降低系统重要性银行和农村商业银行的系统性风险。此外，金融科技通过信息渠道降低了系统重要性银行的系统性风险，却通过内部控制渠道加剧了除系统重要性银行和农村商业银行以外其他商业银行的系统性风险。但成熟期的金融科技有能力通过成本渠道缓释除农村商业银行以外的商业银行系统性风险。据此，本文提出相应的政策建议。
Keyword ：
加权无标度网络模型 加权无标度网络模型 商业银行 商业银行 系统性风险 系统性风险 金融科技 金融科技
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| GB/T 7714 | 严佳佳 , 连凌进 . 金融科技降低了商业银行系统性风险吗？ [J]. | 金融市场研究 , 2024 , PageCount-页数: 13 (09) : 72-84 . |
| MLA | 严佳佳 et al. "金融科技降低了商业银行系统性风险吗？" . | 金融市场研究 PageCount-页数: 13 . 09 (2024) : 72-84 . |
| APA | 严佳佳 , 连凌进 . 金融科技降低了商业银行系统性风险吗？ . | 金融市场研究 , 2024 , PageCount-页数: 13 (09) , 72-84 . |
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本文以美联储量化宽松货币政策逆转为研究背景,基于股票市场信息传染理论,运用互信息和核密度估计相结合的方法分析中国和美国股票市场中各个金融板块之间的风险相依关系,并运用窗口滑动法分析风险相依关系的动态演化过程.研究发现,美联储量化宽松货币政策的推出增强中美股市金融板块之间的风险相依性进而提高金融风险在不同金融市场间传播的可能性,并且我国金融业扩大对外开放政策对子板块的风险相依性影响显著.
Keyword ：
互信息 互信息 股市 股市 货币政策 货币政策 风险相依 风险相依
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| GB/T 7714 | 严佳佳 , 陈岚 . 美国货币政策逆转背景下中美股市金融板块间风险相依关系研究 [J]. | 投资研究 , 2023 , 42 (12) : 104-115 . |
| MLA | 严佳佳 et al. "美国货币政策逆转背景下中美股市金融板块间风险相依关系研究" . | 投资研究 42 . 12 (2023) : 104-115 . |
| APA | 严佳佳 , 陈岚 . 美国货币政策逆转背景下中美股市金融板块间风险相依关系研究 . | 投资研究 , 2023 , 42 (12) , 104-115 . |
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