Testing R&amp;D-Based Endogenous Growth Models

Kruse‐Andersen, Peter K.

doi:10.2139/ssrn.2947528

Cited by 9 publications

(5 citation statements)

References 44 publications

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“…To avoid the lock-in equilibrium, the present study relaxes the spillover assumptions in research in accordance with recent empirical evidence (Bloom et al 2019;Kruse-Andersen 2017). If the spillover effects in research are sufficiently weak, it becomes increasingly less attractive to research in a specific technology, the more advanced this technology becomes.…”

Section: Avoiding the Lock-in Equilibriummentioning

confidence: 78%

“…To avoid both the strong path dependency and the strong scale effect, the present study relaxes the knowledge spillover assumptions in research. This modeling strategy is motivated by the empirical evidence presented by 1 Introduction Kruse-Andersen (2017) and Bloom et al (2019), and it ensures that the model can match the global CO 2 intensity trend.…”

Section: Introductionmentioning

confidence: 99%

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Directed Technical Change, Environmental Sustainability, and Population Growth

Kruse‐Andersen

2019

SSRN Journal

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Population growth has two potentially counteracting effects on pollution emissions: (i) more people implies more production and thereby more emissions, and (ii) more people implies a larger research capacity which might reduce the emission intensity of production, depending on the direction of research. This paper investigates how to achieve a given climate goal in the presence of these two effects. A growth model featuring both directed technical change and population growth is developed. The model allows for simultaneous research in polluting and non-polluting technologies. Both analytical and numerical results indicate that population growth is a burden on the environment, even when all research efforts are directed toward non-polluting technologies. Thus research subsidies alone cannot ensure environmental sustainability.Instead, the analysis shows that environmental sustainability requires pollution taxes and/or population control policies.

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Section: Avoiding the Lock-in Equilibriummentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

Directed Technical Change, Environmental Sustainability, and Population Growth

Kruse‐Andersen

2019

SSRN Journal

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“…(Fu et al 2014; Zilibotti 2017), but after the per capita GDP exceeds US $10000 in 2019, the consumption of resources and environment will increase exponentially with every percentage point of economic growth. Therefore, we must rely on the improvement of total factor productivity to achieve long-term and steady economic development (Kruseandersen 2017). At the same time, human capital is one of the main factors affecting technological progress and improving total factor productivity.…”

Section: Literature Reviewmentioning

confidence: 99%

Public Health Development and Economic Growth: Evidence From Chinese Cities

Zhang

2023

International Regional Science Review

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High-quality construction of public health system is the key to maintain social economic activities be ordered and stable. The aim of this study is to understand whether public health development can promote economic growth and how. We construct a public health development index combining the variables of local pollution control and health care by EVM method. Based on the panel data of Chinese 283 cities from 2004 to 2017, fixed effect model and two-stage least squares model are used to test the impact of public health development on economic growth. Then, we discuss the heterogeneous impact of public health development on economic growth though the threshold regression model, under different government intervention, employment population scale and urbanization ratio. What’s more, we discuss the possible transmission effect of three human capital mechanisms, namely mortality, consumption rate and employment population size between public health development and economic growth. The conclusions are: (1) For every 0.1 unit increase in public health development, the growth rate of real GDP can be increased by 5 percentage points, which can drive the nominal GDP growth by about 0.17 percentage points. (2) Public health development can promote economic growth regardless of the scale of urban employment population. Only when the urbanization ratio exceeds 70.87 and the government intervention level is lower than 0.058, the development of public health is conducive to the improvement of urban economic development. (3) Public health development helps to promote economic growth, mainly through two paths, reducing mortality and increasing human capital accumulation. And, reducing mortality is more conducive to urban economic growth than increasing human capital accumulation.

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“…Studies without panel heterogeneity put a bit more weight on the semi-endogenous growth models (see Neves and Sequeira 2017). This view gets some recent support from Barcenilla-Visús, López-Pueyo, and Sanaú-Villarroya (2014) and Kruse-Andersen (2017) for R&D models estimating R&D functions. Others doubt the positive slope though.…”

Section: Introductionmentioning

confidence: 96%

Can we have growth when population is stagnant? Testing linear growth rate formulas of non-scale endogenous growth models

Ziesemer

2019

Applied Economics

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We subdivide scale-invariant fully or semi-endogenous growth models into six sub-categories for formulas relating steady-state growth rates of income per capita and the growth rate of the population depending on the properties of slopes and intercepts. We capture their steady-state relation by a long-term relation in panel vector-error-correction models for 16 countries and estimate the 16 models simultaneously allowing successively for more heterogeneity. Under slope homogeneity, the slope and intercepts of the growth equations are positive in this setting. However, allowing for heterogeneity there are two main groups of countries: those with non-positive slopes and positive intercepts are a large majority supporting fully endogenous growth; those with positive slopes and zero intercepts are a smaller group supporting semi-endogenous growth. Results therefore favour fully over semiendogenous growth with and without slope homogeneity and allow for growth rate policies. The more frequent case is that long-run growth can remain positive if population stops growing. Analysis of cross-unit cointegration suggests that long-run results are internationally connected.

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Testing R&D-Based Endogenous Growth Models

Cited by 9 publications

References 44 publications

Directed Technical Change, Environmental Sustainability, and Population Growth

Directed Technical Change, Environmental Sustainability, and Population Growth

Public Health Development and Economic Growth: Evidence From Chinese Cities

Can we have growth when population is stagnant? Testing linear growth rate formulas of non-scale endogenous growth models

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