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论文编号：	15501
作者编号：	2120233690
上传时间：	2025/6/13 12:18:20
中文题目：	高能耗企业绿色转型路径研究——基于动态QCA的分析
英文题目：	Research on Green Transformation Pathways for High-Energy-Consumption Enterprises: An Analysis Based on Dynamic QCA
指导老师：	牛建波
中文关键字：	高能耗企业；绿色转型；动态QCA
英文关键字：	High-energy-consumption enterprises; Green transformation; Dynamic QCA
中文摘要：	在全球气候变化与中国“双碳”目标的双重压力下，高能耗企业绿色转型成为实现可持续发展的关键路径。本文聚焦中国A股187家高能耗上市企业，整合制度理论、动态能力理论、资源依赖理论及高阶团队理论，构建“宏观—中观—微观”跨层次分析框架，运用动态QCA方法，系统探究高能耗企业绿色转型的复杂因果路径及其路径动态演化。 本文通过动态QCA方法解析多重因素协同作用机制，重点关注高能耗企业绿色转型的两大核心问题：（1）宏观环境规制、政府补贴、环保税收、融资约束，中观行业环境复杂性与动态性，微观企业资源能力及高管特征如何跨层次联动以驱动企业绿色转型，探究高能耗企业高效绿色转型路径；（2）差异化高能耗企业绿色转型路径的组态特征与动态演化规律。研究采用面板数据校准与组态分析，通过组间一致性与组内一致性指标，揭示路径的时空异质性，并通过典型案例验证组态理论框架的实践适配性。 研究发现：（1）高能耗企业绿色转型是跨层次因素非线性耦合的结果，不存在单一必要条件，企业的绿色转型需与内外部资源动态匹配。在前因条件中，环境规制与环保税收呈现显著时间效应，其作用强度随政策周期波动，在政府政策工具中，环境规制和环保税收是驱动高能耗企业绿色转型更有效的政策工具。（2）识别出三条高效转型组态路径：能力意愿驱动型（政府补贴+高管环保意愿+绿色创新能力）、制度倒逼响应型（环境规制+环保税收+行业竞争压力）与多元共驱型（政策-能力-资源协同），揭示了内外因素动态匹配的差异化机制。（3）组态路径的稳定性与演化规律表明宏观政策、行业竞争与企业创新能力是普适性驱动因素，但其作用强度随政策周期、市场波动及企业资源禀赋动态分化。本研究为政府制定差异化环境政策、企业优化绿色战略提供了理论依据与实践启示。
英文摘要：	Under the dual pressures of global climate change and China’s "Dual Carbon" goals, the green transformation of high-energy-consumption enterprises has emerged as a critical pathway for achieving sustainable development. Focusing on 187 high-energy-consumption listed enterprises in China’s A-share market, this study integrates institutional theory, dynamic capability theory, resource dependence theory, and upper echelons theory to construct a macro-meso-micro cross-level analytical framework. Utilizing dynamic Qualitative Comparative Analysis (QCA), it systematically explores the complex causal pathways and dynamic evolution of green transformation in these enterprises. The research addresses two core questions: (1) how macro-level factors (environmental regulations, government subsidies, environmental taxes, financing constraints), meso-level industry dynamics (complexity and competition), and micro-level factors (corporate resource capabilities, executive characteristics) interact across levels to drive green transformation, and (2) the configuration characteristics and evolutionary patterns of differentiated green transformation pathways. Through panel data calibration, configuration analysis, and case validation, the study reveals spatiotemporal heterogeneity in pathways and verifies the practical applicability of the theoretical framework. The findings are as follows:(1) Green transformation in high-energy-consumption enterprises results from nonlinear coupling of cross-level factors, with no single necessary condition. Environmental regulations and environmental taxes exhibit significant time-dependent effects, fluctuating with policy cycles, and prove more effective as policy tools compared to other government interventions. (2) Three high-efficiency transformation pathways are identified: a capability-willingness-driven path (government subsidies + executives’ environmental commitment + green innovation capabilities), an institutional pressure-responsive path (environmental regulations + environmental taxes + industry competition), and a multi-factor synergy path (policy-capability-resource coordination), demonstrating differentiated mechanisms of internal-external factor alignment. (3) The stability and evolution of configurations indicate that macro policies, industry competition, and innovation capabilities serve as universal drivers, though their impacts dynamically diverge with policy cycles, market fluctuations, and corporate resource endowments. This study provides theoretical foundations for governments to design differentiated environmental policies and practical insights for enterprises to optimize green strategies. It advances the understanding of cross-level interactions in sustainable transitions and offers empirical evidence for managing complex socio-technical transformations in high-emission industries.
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