本文将污染征税政策、清洁技术投资政策内生化,使它们随经济环境而相机变化,构建Hamilton动态优化模型,以发挥内生环境政策与经济发展相匹配的优点。通过数理分析得到:污染税率累积增长是均衡增长路径(BGP)存在的前提;在内生环境政策的激励下,“清洁”型人力资本和技术进步以大于经济增长率的速度加速增长,从而抵消“污染”型自然资源负值增长对经济增长造成的负面影响,达成环境保护与经济发展“双赢”。通过数字模拟进一步得到:要达到相同的经济增长率和环境改善率,相对于最优均衡(FBA)模型而言,分散竞争均衡(CDE)模型要求污染税率的增长速率更大、“清洁”型投入要素对增长率贡献度更高。 This article will pollution tax policy, endogenous investment in clean technology policies, so that they change with the economic environment and the camera, to build Hamilton dynamic optimization model to play to endogenous environmental policies and economic development to match the advantages. Through mathematical analysis, we can see that the cumulative increase of pollution tax rate is the premise of the existence of the balanced growth path (BGP). Under the encouragement of endogenous environmental policies, “clean” human capital and technological progress are accelerating at a rate greater than the economic growth rate, Thus offsetting the negative impact of the negative growth of “natural pollution” natural resources on economic growth and achieving “win-win” environmental protection and economic development. The numerical simulation further shows that to achieve the same economic growth rate and environmental improvement rate, the decentralized competitive equilibrium (CDE) model requires a greater rate of growth of pollution tax rates relative to the optimal equilibrium (FBA) model, "Input-type elements contribute more to the growth rate.