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Evaluation of multi-period regional R&D efficiency: An application of dynamic DEA to China's regional R&D systems

机译：多时期区域研发效率评估：动态DEA在中国区域研发体系中的应用

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摘要

The existing studies about regional R&D efficiency measurement in a specific period have not considered the dynamic interdependence between regional R&D activities over different periods. This paper offers a solution to this problem in multi-period regional R&D efficiency measurement with a novel application to China's regional R&D systems. This solution can present a systemic measurement for the overall efficiency score of multi-period regional R&D investment activities, and deduce a weighted decomposition of the overall efficiency score into period efficiency scores. This paper develops a dynamic analytical framework with a new estimation technique from a long-term and systemic perspective associated with data envelopment analysis technique. Our efficiency model with endogenous weights on period efficiencies effectively accounts for the linking function and double role of R&D capital stock in the operation of connected regional R&D systems and the intertemporal dependence of R&D investment on R&D outputs. The R&D capital stock as the carry-over estimated using the perpetual inventory method helps this efficiency model to account for the time lag and multi-period influence of R&D inputs on R&D outputs. This approach is applied to a new database of R&D input-output systems in China's provinces during the first five-year period (2006-2010) after China's National Plan for Medium- and Long-term Scientific and Technological Development (NPMLSTD). Crown Copyright (C) 2017 Published by Elsevier Ltd. All rights reserved.
机译：现有关于特定时期区域研发效率测度的研究并未考虑不同时期区域研发活动之间的动态相互依存关系。本文为多时期的区域研发效率测量提供了解决方案，并将其新颖地应用于中国的区域研发体系。该解决方案可以对多个时期的区域R＆D投资活动的整体效率得分进行系统的度量，并将整体效率得分的加权分解推算为时期效率得分。本文从长期和系统的角度，结合数据包络分析技术，开发了一种具有新估算技术的动态分析框架。我们具有周期效率的内在权重的效率模型有效地解释了研发资本存量在关联的区域R＆D系统运行中的联系功能和双重作用，以及R＆D投资对R＆D产出的时间跨度依赖性。使用永续盘存法估算的研发资本存量作为结转额，有助于该效率模型考虑研发投入的时滞和多期影响。在中国国家中长期科学和技术发展计划（NPMLSTD）之后的第一个五年期间（2006-2010年），该方法已应用于中国各省的R＆D投入产出系统的新数据库。 Crown版权所有（C）2017，由Elsevier Ltd.出版。保留所有权利。

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