Competition, Imitation, and R&D Productivity in a Growth Model with Industry-Specific Patent Protection

2011 ◽  
Vol 7 (2) ◽  
Author(s):  
Malte Mosel
Keyword(s):  
Reverse Engineering ◽  
Growth Model ◽  
Patent Protection ◽  
Theoretical Foundation ◽  
Growth Models ◽  
Empirical Studies ◽  
Schumpeterian Growth ◽  
Patent Length ◽  
Catch Up ◽  
Set Up

Recent empirical studies suggest a need for a flexible patent regime responding to industry differences. In practice, industry-specific modifications of patent length already exist but lack theoretical foundation. This paper intends to make up for this neglect by scrutinizing in what direction industry characteristics influence optimal patent length. It is found that patents ought to be shorter, the more intense competition, the higher R&D productivity, and the more intricate reverse engineering in an industry are. Unlike similar Schumpeterian growth models, this model assumes Cournot competition and introduces an empirically substantiated measure of industry differences in the ability to catch up with a technological leader. It is found that for most empirically plausible cases the familiar inverted-U relation between patent length and growth carries over to the Cournot set-up.

scholarly journals Effects of patents on the transition from stagnation to growth

2019 ◽  
Vol 33 (2) ◽  
pp. 395-411 ◽  
Author(s):  
Angus C. Chu ◽  
Zonglai Kou ◽  
Xilin Wang
Keyword(s):  
Economic Growth ◽  
Intellectual Property ◽  
Property Rights ◽  
Population Size ◽  
Intellectual Property Rights ◽  
Growth Model ◽  
Patent Protection ◽  
Theoretic Analysis ◽  
Schumpeterian Growth ◽  
Long Run

Abstract This study provides a growth-theoretic analysis of the effects of intellectual property rights on the take-off of an economy from an era of stagnation to a state of sustained economic growth. We incorporate patent protection into a Schumpeterian growth model in which take-off occurs when the population size crosses an endogenous threshold. We find that strengthening patent protection has contrasting effects on economic growth at different stages of development. Specifically, it leads to an earlier take-off but also reduces economic growth in the long run.

PATENT LENGTH AND PRICE REGULATION IN AN R&D GROWTH MODEL WITH MONOPOLISTIC COMPETITION

2013 ◽  
Vol 18 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Jinli Zeng ◽  
Jie Zhang ◽  
Michael Ka-Yiu Fung
Keyword(s):  
Growth Rate ◽  
Growth Model ◽  
Patent Protection ◽  
Monopolistic Competition ◽  
Policy Instrument ◽  
Price Regulation ◽  
Monopoly Pricing ◽  
Patent Length ◽  
Variety Expansion ◽  
Welfare Ranking

This paper considers the effects of patent length and price regulation in an R&D growth model with variety expansion. Innovation requires lower bounds on patent length and price. Increasing patent duration promotes growth; increasing the cap on the price of patented products promotes growth below the monopoly-pricing level. Each policy instrument can raise welfare unless excessively used, and their welfare ranking depends on parameterizations. It is desirable, on welfare grounds, to limit patent protection along both dimensions, namely by limiting patent length and capping the price of patented products. Such limits raise welfare despite reducing the growth rate.

scholarly journals THE ESCAPE-INFRINGEMENT EFFECT OF BLOCKING PATENTS ON INNOVATION AND ECONOMIC GROWTH

2011 ◽  
Vol 17 (4) ◽  
pp. 955-969 ◽  
Author(s):  
Angus C. Chu ◽  
Shiyuan Pan
Keyword(s):  
Economic Growth ◽  
Growth Model ◽  
Patent Protection ◽  
Blocking Effect ◽  
Step Size ◽  
Schumpeterian Growth ◽  
Patent Rights ◽  
Blocking Patents ◽  
Division Rule ◽  
Patent Breadth

This study develops a Schumpeterian growth model to analyze the effects of different patent instruments on innovation. We first analyze patent breadth, which captures the traditional positive effect of patent rights on innovation. Then, we consider a profit-division rule between entrants and incumbents. Given the division of profit, increasing the share of profit assigned to incumbents reduces entrants' incentives for innovation. This aspect of blocking patents captures the recently proposed negative effect of patent rights on innovation. Finally, blocking patents generate a nonmonotonic effect on innovation when the step size of innovation is endogenous because of a novel escape-infringement effect. Calibrating the model to aggregate data, we find that a marginal increase in the blocking effect of patent protection is likely to enhance economic growth.

R&D Heterogeneity and the Impact of R&D Subsidies*

2021 ◽  
Author(s):  
Sigurd M⊘lster Galaasen ◽  
Alfonso Irarrazabal
Keyword(s):  
Economic Impact ◽  
Growth Model ◽  
Relative Size ◽  
Schumpeterian Growth ◽  
Size Dependent ◽  
Investment Growth ◽  
The Impact ◽  
D Investment ◽  
Model Fits

Abstract This paper studies the determinants of R&D heterogeneity and the economic impact of R&D subsidies. We estimate a Schumpeterian growth model featuring firms with heterogeneous innovation efficiencies. The model fits well the R&D investment distribution, and the frequency and relative size of R&D performers. Using the model we study the impact of a Norwegian R&D reform targeting firms with R&D spending below a certain threshold. The size-dependent subsidy increases aggregate R&D investment by 11.7%, but reduces growth and welfare. In contrast, a uniform subsidy stimulates investment, growth and welfare.

My Brother’s Reaper: Examining Officially Reported Siblicide Incidents in the United States, 2000–2007

2014 ◽  
Vol 29 (3) ◽  
pp. 523-540 ◽  
Author(s):  
Jeffrey A. Walsh ◽  
Jessie L. Krienert
Keyword(s):  
United States ◽  
Theoretical Foundation ◽  
Empirical Studies ◽  
The United States ◽  
Male And Female ◽  
Sibling Violence ◽  
Extreme Form ◽  
Older Brothers ◽  
Intrafamilial Violence ◽  
Frequent Offenders

With higher rates than any other form of intrafamilial violence, Hoffman and Edwards (2004) note, sibling violence “constitutes a pandemic form of victimization of children, with the symptoms often going unrecognized and the effect ignored” (p. 187). Approximately 80% of children reside with at least one sibling (Kreider, 2008), and in its most extreme form sibling violence manifests as siblicide. Siblicide is poorly understood with fewer than 20 empirical studies identified in the extant literature since 1980 (see Eriksen & Jensen, 2006). The present work employs 8 years of Supplemental Homicide Report (SHR) data, 2000–2007, with siblicide victims and offenders age 21 years and younger, to construct contemporary victim and offender profiles examining incident characteristics. Findings highlight the sex-based nature of the offense with unique victimization patterns across victims and offenders. Older brothers using a firearm are the most frequent offenders against both male and female siblings. Strain as a theoretical foundation of siblicide is offered as an avenue for future inquiry.

scholarly journals Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e035785
Author(s):  
Shukrullah Ahmadi ◽  
Florence Bodeau-Livinec ◽  
Roméo Zoumenou ◽  
André Garcia ◽  
David Courtin ◽  
...  
Keyword(s):  
Growth Model ◽  
Goodness Of Fit ◽  
Growth Models ◽  
Information Criterion ◽  
Height Growth ◽  
Sub Saharan Africa ◽  
Individual Growth ◽  
Secondary Outcome ◽  
Growth Trajectories ◽  
Best Fitting

ObjectiveTo select a growth model that best describes individual growth trajectories of children and to present some growth characteristics of this population.SettingsParticipants were selected from a prospective cohort conducted in three health centres (Allada, Sekou and Attogon) in a semirural region of Benin, sub-Saharan Africa.ParticipantsChildren aged 0 to 6 years were recruited in a cohort study with at least two valid height and weight measurements included (n=961).Primary and secondary outcome measuresThis study compared the goodness-of-fit of three structural growth models (Jenss-Bayley, Reed and a newly adapted version of the Gompertz growth model) on longitudinal weight and height growth data of boys and girls. The goodness-of-fit of the models was assessed using residual distribution over age and compared with the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The best-fitting model allowed estimating mean weight and height growth trajectories, individual growth and growth velocities. Underweight, stunting and wasting were also estimated at age 6 years.ResultsThe three models were able to fit well both weight and height data. The Jenss-Bayley model presented the best fit for weight and height, both in boys and girls. Mean height growth trajectories were identical in shape and direction for boys and girls while the mean weight growth curve of girls fell slightly below the curve of boys after neonatal life. Finally, 35%, 27.7% and 8% of boys; and 34%, 38.4% and 4% of girls were estimated to be underweight, wasted and stunted at age 6 years, respectively.ConclusionThe growth parameters of the best-fitting Jenss-Bayley model can be used to describe growth trajectories and study their determinants.

On the Effectiveness of Growth- Enhancing Policies in a Model of Growth Without Scale Effects

2002 ◽  
Vol 3 (3) ◽  
pp. 339-346 ◽  
Author(s):  
Lutz G. Arnold
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Human Capital ◽  
Population Growth ◽  
Capital Accumulation ◽  
Scale Effects ◽  
Growth Models ◽  
Empirical Studies ◽  
Human Capital Accumulation ◽  
Accelerate Growth

Abstract Standard R&D growth models have two disturbing properties: the presence of scale effects (i.e., the prediction that larger economies grow faster) and the implication that there is a multitude of growth-enhancing policies. Recent models of growth without scale effects, such as Segerstrom's (1998), not only remove the counterfactual scale effect, but also imply that the growth rate does not react to any kind of economic policy. They share a different disturbing property, however: economic growth depends positively on population growth, and the economy cannot grow in the absence of population growth. The present paper integrates human capital accumulation into Segerstrom's (1998) model of growth without scale effects. Consistent with many empirical studies, growth is positively related not to population growth, but to investment in human capital. And there is one way to accelerate growth: subsidizing education.

scholarly journals A Novel Approach to Modelling Stand-Level Growth of an Even-Aged Forest Using a Volume Productivity Index with Application to New Zealand-Grown Coast Redwood

Forests ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1155 ◽  
Author(s):  
Mark O. Kimberley ◽  
Michael S. Watt
Keyword(s):  
New Zealand ◽  
Growth Model ◽  
Growth Models ◽  
Stand Density ◽  
Site Index ◽  
Growth And Yield ◽  
Productivity Index ◽  
Site Quality ◽  
Spatial And Temporal Variation ◽  
Coast Redwood

Empirical growth models are widely used to predict the growth and yield of plantation tree species, and the precise estimation of site quality is an important component of these models. The most commonly used proxy for site quality in growth models is Site Index (SI), which describes the mean height of dominant trees at a specified base age. Although SI is widely used, considerable research shows significant site-dependent variation in height for a given volume, with this latter variable more closely reflecting actual site productivity. Using a national dataset, this study develops and describes a stand-level growth and yield model for even-aged New Zealand-grown coast redwood (Sequoia sempervirens). We used a novel modelling approach that quantifies site quality using SI and a volume-based index termed the 300 Index, defined as the volume mean annual increment at age 30 years for a reference regime of 300 stems ha−1. The growth model includes a number of interrelated components. Mean top height is modelled from age and SI using a polymorphic Korf function. A modified anamorphic Korf function is used to describe tree quadratic mean diameter (Dq) as a function of age, stand density, SI and a diameter site index. As the Dq model includes stand density in its formulation, it can predict tree growth for different stand densities and thinning regimes. The mortality model is based on a simple attritional equation improved through incorporation of the Reineke stand density index to account for competition-induced mortality. Using these components, the model precisely estimates stand-level volume. The developed model will be of considerable value to growers for yield projection and regime evaluation. By more robustly describing the site effect, the growth model provides researchers with an improved framework for quantifying and understanding the causes of spatial and temporal variation in plantation productivity.

Sign in / Sign up

Export Citation Format

Share Document