R&D lags in economic models

IF 3.2 3区经济学 Q1 ECONOMICS

Economics of Innovation and New Technology Pub Date : 2024-08-06 DOI:10.1080/10438599.2024.2378893

Shanchao Wang, Julian M. Alston, Philip G. Pardey

引用次数: 0

Abstract

Quite different R&D lag structures predominate in studies of agricultural R&D compared with studies of R&D in other industries, and compared with studies of economic growth more broadly. Here we co...

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经济模型中的研发滞后

与其他行业的研发研究相比，以及与更广泛的经济增长研究相比，农业研发研究的研发滞后结构迥然不同。在此，我们共同探讨了这一问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Economics of Innovation and New Technology ECONOMICS-

CiteScore

7.20

自引率

3.00%

发文量

期刊介绍： Economics of Innovation and New Technology is devoted to the theoretical and empirical analysis of the determinants and effects of innovation, new technology and technological knowledge. The journal aims to provide a bridge between different strands of literature and different contributions of economic theory and empirical economics. This bridge is built in two ways. First, by encouraging empirical research (including case studies, econometric work and historical research), evaluating existing economic theory, and suggesting appropriate directions for future effort in theoretical work. Second, by exploring ways of applying and testing existing areas of theory to the economics of innovation and new technology, and ways of using theoretical insights to inform data collection and other empirical research. The journal welcomes contributions across a wide range of issues concerned with innovation, including: the generation of new technological knowledge, innovation in product markets, process innovation, patenting, adoption, diffusion, innovation and technology policy, international competitiveness, standardization and network externalities, innovation and growth, technology transfer, innovation and market structure, innovation and the environment, and across a broad range of economic activity not just in ‘high technology’ areas. The journal is open to a variety of methodological approaches ranging from case studies to econometric exercises with sound theoretical modelling, empirical evidence both longitudinal and cross-sectional about technologies, regions, firms, industries and countries.

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