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首页> 外文会议>International Conference on Industrial Engineering and Engineering Management >Analysis of the Relationship between Science and Technology Inputs and Economic Growth in China based on DEA (ID: 1-033)
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Analysis of the Relationship between Science and Technology Inputs and Economic Growth in China based on DEA (ID: 1-033)

机译：基于DEA的中国科技投入与经济增长关系分析（ID：1-033）。

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摘要

Economic growth is a very important development issue and contributes to the entire economic and social improvement of a country. In China, as the emergence of the knowledge economy, technological factors are playing increasingly influential role in the economic growth of the country. Science and technology (S&T) inputs have become important factor in China's economic growth. This paper evaluates the relative technical efficiency and aggregate technical and scale efficiency of science and technology (S&T) inputs of 30 provincial regions in China, by means of mathematical programming formulations, when some of the inputs or outputs are exogenously fixed and beyond the discretionary control of DUM_S. The aims are to discuss the output efficiency of S&T input in China Structural adjustment is proposed for regions that return to scale are increasing to reach aggregate technical and scale efficiency. The results show that S&T inputs in 14 regions are technical efficiency as they fully exploit the S&T input resource; and 10 regions are aggregate technical and scale efficiency including both developed regions in the Eastern and developing regions in the Western implying that output efficiency of economic growth are both optimal in the Eastern and Western regions, though the input intensity is different. For 7 regions that are technical inefficiency but return to scale is increasing, suggestions to adjust the input structure to reach aggregate technical and scale efficiency are provided.
机译：经济增长是一个非常重要的发展问题，并有助于一个国家的整个经济和社会发展。在中国，随着知识经济的兴起，技术因素在中国的经济增长中发挥着越来越重要的作用。科技投入已成为中国经济增长的重要因素。当一些投入或产出是外生固定的且超出自由裁量控制范围时，本文通过数学编程公式评估了中国30个省地区的相对技术效率以及科学技术的综合技术和规模效率。 DUM_S。目的是讨论中国科技投入的产出效率。建议结构调整，以使规模恢复增长的地区达到技术和规模效率的总和。结果表明，14个地区的科技投入充分利用了科技投入资源，具有较高的技术效率。 10个地区的技术和规模效率总和，包括东部的发达地区和西部的发展中地区，这意味着尽管投入强度不同，但东部和西部地区的经济增长产出效率均最佳。对于7个技术效率低下但规模收益不断增加的地区，提出了调整投入结构以达到总体技术和规模效率的建议。

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