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To explore the impact of green technological progress and its bias on the synergy of pollution reduction and carbon emission reduction, this study utilizes panel data of 251prefecture-level cities in China between 2007 and 2021, it employs the EBM model with undesirable outputs and the Malmquist-Luenberger index to measure green technological progress and separate biased technological progress at the city level. Then, after employing the coupling synergy degree model for evaluating the synergy degree of carbon emissions and air pollutants, this paper empirically analyzes the specific influences of green technological progress and its bias on air pollution and carbon emission reduction, as well as the mechanism through which it exerts its influences. According to the research findings: Green technological progress and capital-augmenting labor-saving technological progress can significantly promote the synergy between pollution reduction and carbon reduction, the average effect is 0.023 and 0.005. The promoting effect remains robust after a series of robustness checks and treatments for endogeneity. Green technological progress can promote the synergy between pollution reduction and carbon reduction by increasing the accumulation of human capital, with a mediating effect accounting for 8.7%. Government environmental regulation plays a positive moderating role between human capital and the pollution-carbon reduction synergy, with a moderated mediation index of 0.008. However, capital-augmenting labor-saving technological progress, while improving the synergy, is detrimental to the enhancement of urban human capital. According to the results of the heterogeneity analysis, green technological progress has a stronger promoting effect on the synergy in small and medium-sized cities and in the east of the Hu Line, while in super large cities, very large cities, and large cities, it hampers the synergy between pollution reduction and carbon reduction. Meanwhile, the negative effects are more pronounced in large cities. Capital-augmenting labor-saving technological progress has a stronger promoting effect on the synergy in super large cities, very large cities, and in the west of the Hu Line.

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为探讨绿色技术进步及其偏向性对减污降碳协同的影响，利用2007~2021年全国251个地级市面板数据，使用非期望产出EBM 模型和Malmquist-Luenberger指数测度绿色技术进步并分离城市层面的有偏技术进步．结合耦合协同度模型评价碳排放和大气污染物的协同程度，实证分析了绿色技术进步及其偏向性对减污降碳协同的影响方向及作用机制．研究表明：绿色技术进步和资本增强劳动节约型技术进步显著推动减污降碳协同进程，平均影响为0.023和0.005，这一促进作用在经过多种稳健性检验和内生性处置后结论依然成立．绿色技术进步能够通过增加人力资本积累促进减污降碳协同，中介效应占比为8.7%，政府环境规制在人力资本和减污降碳协同间发挥积极的调节作用，有调节的中介指数为0.008；资本增强劳动节约型技术进步改善减污降碳协同的同时不利于城市人力资本水平提高．异质性分析发现绿色技术进步在中小城市以及“胡焕庸”线东侧对减污降碳协同的促进作用显著，特大超大城市和大城市阻碍了减污降碳协同发展，大城市的负向作用更强；资本增强劳动节约型技术进步在特大超大城市和“胡焕庸”线西侧对减污降碳协同的推动作用更为明显．

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马越越（1985-），女，辽宁本溪人，副教授，博士，主要从事资源与环境管理、环境政策评价研究．发表论文20余篇．mayueyue812@126.com.

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马越越（1985-），女，辽宁本溪人，副教授，博士，主要从事资源与环境管理、环境政策评价研究．发表论文20余篇．mayueyue812@126.com.

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