本文基本分为两大部分，第一部分，在综合阅读绿色增长相关理论文献的基础上，基于Lucas内生增长模型，构建了资源和环境约束下的五大生产部门经济系统，分析绿色增长的最优均衡路径，并据此分析环境规制、技术创新、结构优化对绿色增长的影响，通过服务业与其他行业的污染排放强度差异，首次从理论层面上，分析产业结构优化对绿色增长路径的促进作用，从而提出环境规制、技术创新、结构优化是绿色增长动力的命题。第二部分，为检验理论模型推导出的命题，是否符合中国现实经济增长情况及实践效果，本文利用2006-2018年全国264个地级市的样本数据，计算得出包含资源约束和非期望产出的2007-2018年全国264个地级市绿色全要素生产率，作为绿色增长效率的衡量指标，将其分解为绿色效率改进和绿色技术进步，分析绿色增长效率的区域增长现状，以及是否存在“马太效应”，也就是地区之间绿色增长效率呈现收敛趋势还是发散趋势。在此基础上，检验中国地级市层面绿色增长效率的影响因素，环境规制、技术创新与结构优化是否有显著促进绿色增长的作用，本文采取动态面板的系统广义距估计回归，分析理论上动力因素的实践作用，并得出一系列稳健的检验结论。文章也通过进一步的门槛效应回归，查看模型中核心变量的影响系数变化趋势，也为适当的环境规制、技术创新和结构优化政策提供建议。

结果显示，我国的污染治理实践中，绿色增长效率分解中绿色技术进步明显，地级市间绿色增长效率呈现收敛趋势，也就是低绿色增长效率的城市正在逐渐追赶高绿色增长效率的城市，城市间发展不平衡和不充分的矛盾在逐渐弱化，不存在“马太效应”；环境规制、技术创新和结构优化对绿色增长有显著促进作用，验证了理论模型中的命题，检验了“波特假说”的正确性，技术创新的“溢出效应”，结构优化不是“结构性减速”的原因，且环境规制、技术创新与结构优化越大越有利于绿色增长；外商投资、市场化度、财政支出均可以促进区域绿色增长，通过市场竞争激励绿色增长效率提升，能源消费会抑制城市区域绿色增长。据此，文中对绿色增长提出相应政策建议。

This thesis is basically divided into two major parts. In part one, after comprehensive reading of relevant theoretical literatures on green growth, this thesis constructs an economy system including five major departments to produce final production under the constraints of resources and environment. Based on Lucas’ endogenous growth model, this thesis analyzes the optimal and balanced growth-path of green growth, and the positive impacts of environmental regulation, technological innovation and structural optimization on green growth from the theoretical level. In part two, in order to test these theoretical propositions, with China’s real economic data of 264 cities from 2006 to 2018, this thesis calculates the Green Total Factor Productivity of resources and non-expected output from 2007 to 2018. As a measure of green growth efficiency, the Green Total Factor Productivity is broken down into green efficiency progress and green technology progress, to analyze the regional growth status, and whether the "Matthew effect" is exist. In order to test the influencing factors of green growth efficiency in China, whether environmental regulation, technological innovation and structural optimization have significantly promoted green growth, this thesis adopts the SYS-GMM regression on dynamic panel to analyze the practical effect of theoretical propositions. Through the further threshold effect test, the thesis observes the influencing trend on coefficient changes of the core variables in the model, and also provides suggestions for appropriate policies of environmental regulation, technological innovation and structural optimization.

The results show that in China's pollution control practice, the green growth efficiency between cities shows a convergence trend, that is, these cities with lower green growth efficiency are gradually catching up with those cities with higher green growth efficiency. The imbalance and inadequate contradiction between cities is gradually weakening, and there is no "Matthew effect". Environmental regulation, technological innovation and structural optimization play significant roles in promoting green growth, which verify the theoretical model, and test the correctness of the "Porter hypothesis", the "spillover effect" of technological innovation, structural optimization is not the cause of "structural deceleration". Foreign investment, marketization and fiscal expenditure can all promote regional green growth, stimulate green technology progress through market competition, energy consumption will inhibit urban green growth. Accordingly, this thesis puts forward corresponding policy suggestions for green growth.