Sectoral and Aggregate Technology Shocks:Is There a Relationship?

We analyze sector-specific shocks in productivity and demand in 19 manufacturing sectors of the Austrian economy. Based on a structural vector autoregressive model (SVAR) with long-run restrictions developed by Galí (1999) we extract technology and non-technology shocks from sectoral and aggregate data. We study their patterns and relationship by means of a principal components analysis and find a close association of sectoral and macroeconomic non-technology shocks but only a very weak association for technology shocks. Impulse response analysis indicates that for almost all manufacturing sectors as well as the aggregate Austrian economy productivity growth rates experience an immediate increase due to positive technology shocks while hours worked decline. Thereby we confirm Galís results on the level of Austrian manufacturing industries. From regression analysis, we find that our shocks are closely associated to employment growth and output growth but not to investment growth and that the reaction is different for the aggregate economy and manufacturing industries.JEL codes: D24, E23, E32, O30We thank Werner Müller and the participants of the 2004 conference of the Austrian Economic Association (NOeG) for helpful comments. We would like to thank an anonymous referee for many helpful comments that led to a substantial improvement of the paper. The usual disclaimer applies. This research project was supported by a research Grant (Project Nr. 9800) of the Jubiläumsfonds der Österreichische Nationalbank (OeNB).     

Skill Intensity in Foreign Trade and Economic Growth

This paper explores the link between trade structure, trade specialization and per capita income growth. It is argued that industrial upgrading in export specialization patterns has a positive long-run growth effect, while the effect of structural change in industrial import patterns is in principle ambiguous. A standard empirical growth model is augmented by various measures of structural change. The hypothesis that not trade per se matters, but that various types of trading activities impact differently on economic growth is tested on a sample of 45 countries (OECD members and selected Asian and Latin American countries) over the period 1981–1997. The data set comprises exports and imports for 35 manufacturing industries at the 3-digit level of the ISIC classification which are grouped according to skill intensity. The results of the dynamic panel estimation point towards a positive long-run growth effect arising from trade specialization in medium-high-skill-intensive industries. Further, important distinctions between the skill intensity of export and import patterns and their respective influence on economic development, as well as between the group of developing countries and OECD members are observed in this relationship.JEL classification: C23, F43, O19, O41, O57The author is grateful to Michael Landesmann and Robert Stehrer (wiiw), Neil Foster and Jesús Crespo Cuaresma (Department of Economics, University of Vienna), Michael Peneder (Austrian Institute of Economic Research) and two referees for valuable comments. This research is based on Jubiläumsfondsprojekt Nr. 8954, financial support by Oesterreichische Nationalbank is gratefully acknowledged.     

R&D spending in the high-tech sector and economic growth

The present paper provides new estimates of the impact of investment in R&D on long-term economic growth. In particular, we estimate a dynamic empirical growth model using panel data for OECD countries from 1970 to 2004. This study is the first to investigate whether the specialization of R&D activities (i.e. share of R&D investment in the high-tech sector) has an additional effect on GDP per working age population. Using a system GMM estimator in order to control for endogeneity, we find that both the ratio of business enterprises’ R&D expenditures to GDP and the share of R&D investment in the high-tech sector have strong positive effects on GDP per capita and GDP per hour worked in the long term.     

Is health care really a luxury in OECD countries? Evidence from alternative price deflators

This article examines whether real Health-care Expenditure (HE) is a luxury or necessity for Organization for Economic Co-operation and Development (OECD) countries over the period 1972 to 2004 within a panel unit root and panel cointegration framework. To realize this objective, we regress HE on real Gross Domestic Product (GDP), the proportion of the population aged over 65 (P65) and a time trend (T). We first present results for 18 countries where real HE per capita is obtained using a general GDP deflator. For these countries, we find that health care is a luxury for just one country. Next, we present results for eight countries where real HE is obtained using a specific health-care price index. When the general GDP deflator is replaced with a specific health-care price index, at least one of the GDP, P65 or T coefficients for the eight countries changes in a reasonably dramatic fashion, suggesting that the use of the GDP deflator introduces bias into the regression. We find that HE is a necessity in all eight countries. Given that the reliability of the GDP deflator results is questionable, on the basis of the results for the eight countries, we conclude that HE is a necessity.     

Is Asian per capita GDP panel stationary?

The goal of this paper is to examine whether per capita GDP for 15 Asian countries is panel stationary. We apply a panel test for stationarity that allows for multiple structural breaks developed by Carrion-i-Silvestre et al. (Econ J 8: 159–179, 2005). Our main findings are: (1) when we apply conventional tests, such as the ADF and KPSS univariate tests without structural breaks, we find little evidence for stationarity; (2) when we apply the KPSS univariate test with multiple structural breaks, we find evidence of stationarity for 10 out of 15 countries; and (3) when we apply the KPSS panel test with multiple structural breaks, we find overwhelming evidence of panel stationarity of per capita real GDP for different panels of Asian countries.      

Cooperation and specialization in German technology regions

In this paper we focus on the technological knowledge of a region and the pattern of cooperative behavior of the innovative actors within that region as a means of transferring this knowledge. In particular, we are concerned with the relationship between the kind and level of knowledge and/or the degree of specialization within a region, the propensity to cooperate and the kind of cooperation. Based on a theoretical discussion of research cooperation we derive appropriate hypotheses and provide an econometric analysis based on data of co-patenting. We find that technologically moderately specialized regions show the highest number of research cooperations, and the higher a regions specialization, the more cooperations take place with partners inside that region.JEL Classification: L29, O31, R12We thank Jens J. Krüger, Michel Quéré, Cees van Beers, Henry Overman and participants of the ZEW Summer Workshop on Innovation, Location and European Integration in Mannheim as well as two anonymous referees for their helpful comments and suggestions.     

Technological innovations and economic prosperity: A time series analysis

Using a univariate decomposition of per capita real GDP into its permanent trend and irregular components, the objective of this paper is to measure, rank, and compare the relative importance of the major technological innovations of the past two centuries as measured by their contribution to the growth rate of real per capita GDP. The paper uses the growth model and Beveridge and Nelson’s (1981) univariate decomposition method to measure and to compare the economic impact of random technological shocks, as measured by the average increase in real per capita GDP during sub-periods of major technological advancements.     

The causal dynamics between renewable energy,real GDP,emissions and oil prices: evidence from OECD countries

This study extends the empirical literature on the determinants of renewable energy consumption in the case of 25 OECD countries for the period 1980–2011. Preliminary analysis suggests the presence of cross-sectional dependence within the panel data. As a result, second-generation panel unit root tests of Smith et al. (2004) and Pesaran (2007) are undertaken to find the respective variables that are integrated of order one. Panel cointegration and error correction modelling reveal that a long-run relationship exists between renewable energy consumption per capita, real GDP per capita, carbon dioxide emissions per capita and real oil prices. The long-run elasticity estimates are positive and statistically significant for real GDP per capita, carbon dioxide emissions per capita and real oil prices. The panel error correction model shows that a feedback relationship exists among the variables.     

Inequality and economic growth: the role of initial income

We estimate a panel model where the relationship between inequality and GDP per capita growth depends on countries’ initial incomes. Estimates of the model show that the relationship between inequality and GDP per capita growth is significantly decreasing in countries’ initial incomes. Results from instrumental variables regressions show that in Low Income Countries transitional growth is boosted by greater income inequality. In High Income Countries inequality has a significant negative effect on transitional growth. For the median country in the world, that in the year 2015 had a PPP GDP per capita of around 10000USD, IV estimates predict that a 1 percentage point increase in the Gini coefficient decreases GDP per capita growth over a 5-year period by over 1 percentage point; the long-run effect on the level of GDP per capita is around ??5%.     

Trade and regional growth in Spain: panel cointegration in a small sample

In this article, we test for the existence of a relationship between per capita Gross Domestic Product (GDP) and trade, for 15 Spanish Autonomous Communities between 1988 and 2004, using a panel cointegration methodology. In particular, we implement several panel unit root tests (Maddala and Wu, 1999; Levin et al., 2002; Im et al., 2003) and panel cointegration tests (Pedroni, 1999, 2004), with a special attention to their behaviour in a small sample. We also develop a Seemingly Unrelated Regression Estimation (SURE) residual based test, in order to explicitly take into account the cross regional correlation pattern. Appropriate confidence intervals are estimated with a sieve bootstrap designed for our small time sample, preserving the dependence structure among cross sectional units. Our cointegration tests reject the existence of a significant relationship between GDP per capita and exports. However, we do find some evidence of a significant relationship between GDP per capita and imports or with total trade.     

Technology usage lags

We present evidence on the differences in the intensity with which ten major technologies are used in 185 countries across the world. We do so by calculating how many years ago these technologies were used in the U.S. with the same intensity as they are used in the countries in our sample. We denote these time lags as technology usage lags and compare them with lags in real GDP per capita. We find that (i) technology usage lags are large, often comparable to lags in real GDP per capita, (ii) usage lags are highly correlated with lags in per-capita income, and (iii) usage lags are highly correlated across technologies. The productivity differentials between the state-of-the-art technologies that we consider and the ones they replace, combined with the usage lags that we document, lead us to infer that differences in the intensity of usage of technologies might account for a large part of cross-country TFP differentials. The views expressed in this paper solely reflect those of the authors and not necessarily those of the National Bureau of Economic Research, Federal Reserve Bank of San Francisco, nor those of the Federal Reserve System as a whole. This research was completed when Emilie Rovito was an economist at the Federal Reserve Bank of New York. We appreciate the financial assistance of the NSF (Grants # SES-0517910 and SBE-738101) and the C.V. Starr Center for Applied Economics. We would like to thank Mark Bils, Hitesh Makhija, Andres Rodríguez-Clare, Romain Wacziarg, and Matt Wiswall for comments and suggestions.     

Green national accounting with a changing population

Summary. Following Arrow et al. (2003), this paper considers green national accounting when population is changing and instantaneous well-being depends both on per capita consumption and population size. Welfare improvement is shown to be indicated by an expanded "genuine savings indicator", taking into account the value of population growth, or by an expanded measure of real NNP growth. Under CRS, the measures can be related to the value of per capita stock changes and per capita NNP growth, using a result due to Arrow et al. (2003). The results are compared to those arising when instantaneous well-being depends only on per capita consumption.Received: 30 January 2003, Revised: 31 March 2003, JEL Classification Numbers: D60, D90, O47, Q01.This paper is inspired by the recent investigation of the genuine savings criterion and the value of population by Arrow et al. (2003). I thank Kenneth Arrow, Partha Dasgupta, Lawrence Goulder, and a referee for helpful discussions and comments. I gratefully acknowledge the hospitality of the Stanford University research initiative on the Environment, the Economy and Sustainable Welfare, and financial support from the Hewlett Foundation through this research initiative.     

ECONOMIC FREEDOM AND INCOME LEVELS ACROSS U.S. STATES: A SPATIAL PANEL DATA ANALYSIS

There is a large literature estimating the effect of economic freedom on economic growth or income levels. Most studies examine the relationship between economic freedom and growth or income levels for countries, while a few examine the relationship for U.S. states. Absent in the state‐level literature is consideration of the presence of spatial spillovers affecting the freedom‐income relationship. Neglecting to account for spatial autocorrelation can bias estimation results and therefore inferences drawn. We find evidence of a spatial pattern in real per‐capita gross state product (GSP) that affects nonspatial estimates of the freedom‐income relationship. Taking into account the direct and indirect effects of economic freedom on real per‐capita GSP, we find a 10% increase in economic freedom is associated with a 5% increase in real per‐capita GSP. (JEL E02, O47, R11)     

The impact of the credit crisis on poor developing countries: Growth,worker remittances,accumulation and migration

We show that the credit crisis of OECD countries has a negative impact on the growth of the world economy according to an error-correction model including China and Australia. This causes negative growth effects in poor developing countries. The reduced growth has a direct or indirect impact on the convergence issue, aid, remittances, labour force growth, investment and savings, net foreign debt, migration, tax revenues, public expenditure on education and literacy. We estimate dynamic equations of all these variables using dynamic panel data methods for a panel of countries with per capita income below $1200 (2000). The estimated equations are then integrated to a dynamic system of thirteen equations for thirteen variables that allows for highly non-linear baseline simulations for these open economies. Then we analyze the effects of transitional shocks as predicted by the international organizations for the OECD and world growth for 2008 and 2009. Whereas growth rates return to the baseline scenario until 2013 with overshooting for China and Australia, the level of the GDP per capita shows permanent effects, which are positive only for China. In the poor countries, investment, remittances, savings, tax revenues, public expenditure on education, all as a share of GDP as well as literacy and the GDP per capita, are reduced compared to the baseline until 2087 where our analysis ends. Investment, emigration and labour force growth start returning to baseline values between 2013 and 2017. GDP per capita and tax revenues start returning to baseline around 2040. Education variables do not return to baseline without additional effort.     

Technological Progress,Income Distribution,and The Explanation of Some Stylized Facts of Economic Growth

This paper examines the effects of technological progress in the framework of a specific-factor variant of the “dependent economy” model. We analyse, first, the effects of technological progress on income distribution, and secondly, its effects on commodity prices, and the structure of production. Our model predicts that, services must be more expensive in the country with higher per capita GDP, and that labor productivity in manufactures is positives associated with the per capita income, etc. The model can also explain several other stylized facts of economic growth. [O33, F11]     

Political institutions and economic volatility

We examine the effect of political ‘institutions’ on economic growth volatility, using data from more than 100 countries over the period 1960 to 2005, taking into account various control variables as suggested in previous studies. Our indicator of volatility is the relative standard deviation of the growth rate of GDP per capita. The results of a dynamic panel model indicate that democracy reduces economic volatility. We also find that some dimensions of political instability and policy uncertainty increase economic volatility.     

资源依赖、地理区位与城市经济增长

本文利用中国城市面板数据,探讨了资源依赖、地理区位与城市经济增长之间的相互关系。研究发现,在控制了地理区位因素之后,资源依赖与城市经济增长之间依然呈现反相关关系,"资源诅咒"在城市层面同样存在。同时,地理区位与自然资源依赖对城市经济增长存在显著的联合影响,距离重要港口城市、中心大城市和三大经济区域中心城市越近,城市经济增长对自然资源的依赖越低,其经济增长越好,优越的地理区位能够减轻资源依赖导致的"资源诅咒"效应。最后,我们的分析也表明,通过降低人力资本投资意愿,阻碍FDI流入,弱化民营经济增长等渠道,资源丰裕导致的资源依赖阻碍了城市的经济增长。     

Human Capital,Technology, and Specialization: A Comparison of Developed and Developing Countries

GDP GDP function framework, and apply it to panel data. We find that factor supplies and openness to trade are important factors influencing the structure of production, but we also uncover interesting differences in results across output sectors and groups of countries. In addition, we find evidence that Hicks-neutral technological differences do not affect specialization. Finally, our results on the effect of openness highlight the sources of conflicts between developed and developing countries in multilateral trade negotiations. Received April 18, 2000; revised version received January 8, 2001     

The dynamic effects of general purpose technologies on Schumpeterian growth

General purpose technologies (GPTs) are drastic innovations characterized by pervasiveness in use and innovational complementarities. The dynamic effects of a GPT are analyzed within a quality-ladders model of scale-invariant Schumpeterian growth. The diffusion path of a GPT across a continuum of industries is governed by S-curve dynamics. The model generates a unique, saddle-path long-run equilibrium. Along the transition path, the measure of industries that adopt the new GPT increases, consumption per capita falls, and the interest rate rises. The growth rate of the stock market depends negatively on the rate of GPT diffusion and the magnitude of the GPT-ridden R&D productivity gains; and positively on the rate of population growth. It also follows a U-shaped path during the diffusion process of the new GPT. Finally, the model generates transitional growth cycles of per capita GNP.JEL Classification: E3, O3, O4I would like to thank Elias Dinopoulos for encouragement, and for constructive comments and suggestions. I would also like to thank David Figlio, Douglas Waldo, Steven Slutsky and participants in the 9th Biennial Congress of the International Schumpeter Society for useful discussions and suggestions. Any remaining errors are my own responsibility.     

Are complementary reforms a “luxury” for developing countries?

This paper investigates the impact of complementarity reforms on growth and how it depends on GDP per capita. Based on reform data for six policy areas compiled from various sources during the period 1994–2006 for over 100 countries, we compute composite indicators of reform level and complementarity. We provide qualitative justification for the existence of pair-wise complementarities among policy areas. We then use cross-section and panel data estimates to test the effect of reform level and complementarity on GDP per capita growth. We found reforms to be positively related and their dispersion (or the inverse of complementarity) negatively related to growth, controlling for initial conditions, monetary stability and other structural and institutional variables, as well as endogeneity of reform level and complementarity. We show that the effect of policy complementarity is a stronger condition for sustainable growth in developing than in advanced countries, to conclude that complementary reforms are not a ‘luxury’ for developing countries.