中文摘要：

资源衰退型城市主要依赖不可再生的自然资源的开采和加工，近年来其转型面临着寻找新的增长点和节能减排的双重压力。本文基于涵盖政府科教支持跨期作用的坏产出动态SBM模型对2005--2012年中国资源衰退型城市的转型效率以及节能潜力、减排空间进行测算发现，经济社会环境相对较差城市的转型效率和节能减排效果尚有较大提升空间，且节能减排效果波动-9政府的政策力度呈现较高的一致性。在科教支持资金呈现相对冗余的情况下，本文采用面板Tobit模型进一步验证发现。科教支持显著提高了资源衰退型城市的转型效率和节能减排效果。此外，外资流量也能够提升其转型效率和节能减排效果，而外资流量沉淀后形成的资本存量的产出水平对节能减排效果却没有发挥应有的作用。而且，在基础设施水平不同的城市．科教支持对其转型效率的影响具有差异性。这说明政府科教支持作用的发挥需要包括基础设施在内的多种经济社会环境要素的配合，并不是简单的科教支持资金的规模或比例问题，在具有不同经济社会环境的城市．需制定差异化的科技相关政策。

英文摘要：

Resource recessionary cities mainly depend on the mining and processing of non-renewable natural resources. In recent years, the transformation of these cities faces double pressure of looking for new sources of growth and energy saving and emission reduction. Based on the dynamic SBM model covering the inter-temporal role of government Science ＆ Technology （S＆T） and education support and bad output, the transformation efficiencies, energy saving potentials and emission reduction spaces of resource recessionary cities are calculated from 2005 to 2012. Results show that the transformation efficiencies of resource recessionary cities with relatively bad economic and social environment have large room to improve, and the energy saving and emission reduction effects maintain strong consistency with the power of government policies. The government S＆T and education support funds being relatively redundant, this paper uses panel Tobit model for further verification and concludes that government S＆T and education support significantly improves the transformation efficiencies and the energy saving and emission reduction effects of resource recessionary cities. FDI inflow can also improve their transformation efficiencies and energy saving and emission reduction effects, but the output level formed by foreign capital stock doesn＇t play a proper role in energy saving and emission reduction. Moreover, the influences of S＆T and education support on transformation efficiencies are different in cities with different infrastructure levels. This illustrates that the role of S＆T and education support to play needs the coordination of a variety of economic and social environment factors, including infrastructure, and it is not simply the problem of the size or scale of S＆T and education funds. The economic and social environment is different in different cities, so differentiated and specific S＆T-related policies should be made.