مقاله انگلیسی رایگان در مورد اثر رشد بلند مدت سیاست تحقیق و توسعه – الزویر ۲۰۱۷

elsevier

 

مشخصات مقاله
عنوان مقاله  The long-run growth effects of R&D policy
ترجمه عنوان مقاله  اثرات رشد بلند مدت سیاست تحقیق و توسعه
فرمت مقاله  PDF
نوع مقاله  ISI
سال انتشار

مقاله سال ۲۰۱۷

تعداد صفحات مقاله  ۱۱ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) Scopus – Master Journals List – JCR
ایمپکت فاکتور(IF) ۶٫۲۸۱ در سال ۲۰۱۸
شاخص H_index
۲۰۶ در سال ۲۰۱۹
شاخص SJR
۳٫۴۰۹ در سال ۲۰۱۸
شناسه ISSN
۰۰۴۸-۷۳۳۳
شاخص Quartile (چارک)
Q1 در سال ۲۰۱۸
رشته های مرتبط  مدیریت و اقتصاد
گرایش های مرتبط  تحقیق در عملیات
نوع ارائه مقاله
ژورنال
مجله  سیاست تحقیق – Research Policy
دانشگاه  گروه اقتصاد، دانشگاه بولونیا، ایتالیا
کلمات کلیدی  نظریه رشد شومپیتر، رشد بهره وری، اعتبارات مالیاتی R & D ، صنایع تولیدی ایالات متحده
کلمات کلیدی انگلیسی Schumpeterian growth theory, Productivity growth, R&D tax credits, US manufacturing industries
شناسه دیجیتال – doi https://doi.org/10.1016/j.respol.2016.11.006
تعداد کلمات  ۷۸۲۱ کلمه
کد محصول E4912
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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۱٫ Introduction

Do changes in public policies aimed at stimulating business R&D lead to higher growth rates of productivity? If any, are these effects long lasting? Taking Schumpeterian growth theory as guideline, this paper addresses these questions by providing econometric evidence on the long-run impact of R&D policy on productivity growth of the United States.

Early models of R&D-based growth postulate that the longrun growth rate of productivity is proportional to the level of research undertaken in the overall economy (see, e.g., Romer, 1990; Grossman and Helpman, 1991; Aghion and Howitt, 1992). In these models, any policy change permanently affects the growth rate of productivity. In the mid-1990s, the critique formulated by Jones (1995b) againstthe prediction ofthese models on the scale effect of R&D stimulated the development of an array of second-generation growth models without scale effects. A first strand of studies makes the assumption of diminishing returns to knowledge and predicts that the steady-state level of productivity is an increasing function of the economy’s size (and hence of the amount of R&D), ∗ Corresponding author. E-mail addresses: antonio.minniti@unibo.it (A. Minniti), francesco.venturini@unipg.it (F. Venturini). but not its growth rate. Accordingly, R&D policy has no impact on productivity growth in the long run, but only along the transition path. These models are referred to as of semi-endogenous growth as they contend that the growth rate of productivity is ultimately driven by the (exogenous) population growth rate (Jones, 1995a; Kortum, 1997; Segerstrom, 1998). Another line of research known as fully-endogenous growth theory (see, e.g., Dinopoulos and Thompson, 1998; Peretto, 1998; Young, 1998; Aghion and Howitt, 2008, ch. 12) builds upon the insight that, as an economy grows and new varieties are discovered, aggregate R&D effort becomes less effective because it spreads among a greater number of product lines. Productivity growth would depend on the R&D intensity at the firm level, explaining why growth can be stationary despite the increasing resources invested in R&D. Accordingly, any policy that affects R&D intensity has also an impact on the steady-state growth rate.

The present paper empirically assesses the long-run growth effect of public policies to business R&D in the US economy using a framework based on the latest strands of Schumpeterian growth theory. Our analysis is carried out in a dynamic panel data setting on twenty US manufacturing industries over the 1975–۲۰۰۰ period. Following the influential studies on tax changes and economic growth (see Lee and Gordon, 2005 and subsequent works), we estimate a growth equation which includes R&D policy instruments as explanatory variables, together with other growth determinants as suggested by the second-generation Schumpeterian growth models. We consider R&D tax credit and the proportion of direct (federal) funding on business R&D expenses as policy variables. The empirical model is estimated by means of a novel regression technique, the Cross-Sectionally Augmented Distributed Lags (CSDL) estimator (Chudik et al., 2016). This approach is based on a dynamic representation which provides consistent estimates for the long-run parameters and is robust along a number of important dimensions (namely, misspecification of dynamics, error serial correlation, cross-sectional dependence, etc.).

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