Renewable energy innovations in Europe: a dynamic panel data approach

We investigate the determinants of renewable energy R&D intensity and the impact of renewable energy innovations on firm performance, using several dynamic panel data models. We estimate these models using a large data set of European firms from 19 different countries, with some patenting activity in areas related to renewable energies during the 1987 to 2007 period. Our results confirm our priors on the determinants of the rapid development of renewable energy R&D intensity during the past decades. Additionally, we find evidence that renewable patent intensity has a significant dynamic impact on the stock market value of firms.     

Exports and growth: Granger causality analysis on OECD countries with a panel data approach

This paper investigates the possibility of Granger causality between the logarithms of real exports and real GDP in twenty-four OECD countries from 1960 to 1997. A new panel data approach is applied which is based on SUR systems and Wald tests with country specific bootstrap critical values. Two different models are used. A bivariate (GDP–exports) model and a trivariate (GDP–exports–openness) model, both without and with a linear time trend. In each case the analysis focusses on direct, one-period-ahead causality between exports and GDP. The results indicate one-way causality from exports to GDP in Belgium, Denmark, Iceland, Ireland, Italy, New Zealand, Spain and Sweden, one-way causality from GDP to exports in Austria, France, Greece, Japan, Mexico, Norway and Portugal, two-way causality between exports and growth in Canada, Finland and the Netherlands, while in the case of Australia, Korea, Luxembourg, Switzerland, the UK and the USA there is no evidence of causality in either direction.     

Convergence,technological interdependence and spatial externalities: a spatial dynamic panel data analysis

This study adopts a spatial dynamic panel data approach and spatial quasi-maximum likelihood to re-estimate the speed of growth convergence in 91 countries based on technological interdependence and spatial externalities. We perform a conditional Lagrange multiplier test for spatial error dependence and find some differences to previous studies. First, the switch from a cross-sectional to a dynamic panel data framework enables the estimated rate of conditional convergence to be higher, more accurate and more appropriate for realistic and theoretical expectations. Second, the spatial Durbin model (SDM) is a general form of simplified model that considers spatial error correlation, and its likelihood ratio test for the theoretical model of ‘learning by doing’ effect provides further evidence. Finally, statistical tests find that spatial correlation not only occurs in each variable, but also appears in the error term. Thus, the SDM does not exist in the assumptions associated with the spatial error, which are not necessarily correct.     

Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach

This paper uses the panel data of energy consumption and GDP for 82 countries from 1972 to 2002. Based on the income levels defined by the World Bank, the data are divided into four categories: low income group, lower middle income group, upper middle income group, and high income group. We employ the GMM-SYS approach for the estimation of the panel VAR model in each of the four groups. Afterwards, the causal relationship between energy consumption and economic growth is tested and ascertained. We discover: (a) in the low income group, there exists no causal relationship between energy consumption and economic growth; (b) in the middle income groups (lower and upper middle income groups), economic growth leads energy consumption positively; (c) in the high income group countries, economic growth leads energy consumption negatively. After further in-depth analysis of energy related data, the results indicate that, in the high income group, there is a great environmental improvement as a result of more efficient energy use and reduction in the release of CO₂. However, in the upper middle income group countries, after the energy crisis, the energy efficiency declines and the release of CO₂ rises. Since there is no evidence indicating that energy consumption leads economic growth in any of the four income groups, a stronger energy conservation policy should be pursued in all countries.     

Effects of exchange rate volatility on bilateral import performance of Vietnam: A dynamic Generalised method of Moments panel approach

The paper examines to what extent exchange rate volatility affects Vietnam’s bilateral import value. The two-step system generalized method of moments (GMM) was employed on panel data over a 10-year period. Exchange rate volatility was generated by two measures, including generalised autoregressive conditional heteroskedastic (GARCH) and moving standard deviation (MOVSD). A variety of diagnostic tests which ensure the consistency of GMM estimates were discussed. The main findings confirm that all explanatory variables demonstrated the expected signs, and exchange rate volatility has positive impacts on Vietnam's import flows. However, there is a large overall difference between the results produced with those two volatility measures.     

The persistence of innovation: a panel data investigation on manufacturing firms

This paper represents a contribution to empirical debate on the persistence of innovation in the firm, by exploiting an innovative panel database that, for the first time, links three waves of the Italian Community Innovation Survey with an administrative data source providing economic and financial information for firms in the Italian manufacturing sector, 1996–2003. By using both a dynamic logistic model and a Granger causality approach, we show that in order to innovate successfully it is much more important to have an adequate flow of profits during an appropriate time span rather than high profits only during one period before innovation. Our causality tests prove the existence of a dynamic interaction between innovation and profitability: successful innovation can, in the short run, generate the profitability conditions that can then enhance the financial resources needed to reinvest in new technological opportunities, thus causing the firm to persist in its innovative behaviour. We have also shown that another important source of persistence is represented by past innovative experience. A firm with consolidated innovative behaviour would have a higher probability of future successful innovation with respect to a firm that occasionally (or accidentally) innovates. Persistence in innovation enables a firm to take advantage of substantial technological and organizational learning effects, which improve with time.     

都市圈经济增长的空间相依性研究——基于中国三大都市圈的实证研究

There are a number of theoretical reasons why cities interact with each other. Such spatial interdependence has been largely ignored by the empirical literature with only a couple of recent papers accounting for such issues in their estimation. This paper takes spatial dependence panel data models in specifying and testing to analyze three metropolitan growth behaviors in China. We find that controlling for fixed-effects allows us to disentangle the effect of spatial dependence from that of spatial heterogeneity and that of omitted variables. The estimated relationships of traditional determinants of urbanization are robust to inclusion of terms to capture spatial interdependence, even though such interdependence is estimated to be significant. Additionally, the three metropolitan areas might be said to represent three distinct stages during the urbanization of China.      

The returns to general experience,job and occupational tenure: a study using Australian panel data

This article uses Australian panel data for the years 2001–2009 to estimate returns to general experience, job and occupational tenure. We pay particular attention to issues of unobserved heterogeneity bias in our estimations. We find that both general experience and occupational tenure have statistically and numerically significant effects on wage outcomes, even after controlling for unobserved heterogeneity. Job tenure on the other hand only seems to matter in OLS regressions that do not control for heterogeneity biases. Once these biases are controlled for, only a modest effect from job tenure remains. The inclusion of occupational tenure in the estimating equation tends to negate even this modest job tenure effect. The only exception to this is for workers in large organizations. For these workers a small but statistically significant effect from job tenure remains, even once we have controlled for heterogeneity and included occupational tenure in the estimating equation. The results reported in this article have implications for the various theories of the labour market that predict upward-sloping wage-job-tenure profiles.     

Determinants of violent and property crimes in England and Wales: a panel data analysis

We examine various determinants of property and violent crimes by using police force area level (PFA) data on England and Wales over the period of 1992–2008. Our list of potential determinants includes two law enforcement variables namely crime-specific detection rate and prison population, and various socio-economic variables such as unemployment rate, real earnings, proportion of young people and the Gini Coefficient. By adopting a fixed effect dynamic GMM estimation methodology we attempt to address the potential bias that arises from the presence of time-invariant unobserved characteristics of a PFA and the endogeneity of several regressors. There is a significant positive effect of own-lagged crime rate. The own-lagged effect is stronger for property crime, on an average, than violent crime. We find that, on an average, higher detection rate and prison population leads to lower property and violent crimes. This is robust to various specifications. However, socio-economic variables with the exception of real earnings play a limited role in explaining different crime types.     

Nonlinearity in dynamic adjustment: Semiparametric estimation of panel labor supply

We estimate a semiparametric dynamic panel data model by the local linear kernel method and we interpret the slope of the nonparametric component function as a varying slope coefficient. Thus, the slope coefficient is a smooth, but otherwise unknown, function of some of the regressors. A Monte Carlo experiment is reported to examine the finite sample performance of the local linear estimator. We apply the estimation method to a labor supply equation for men from the triannual Survey of Income and Program Participation (SIPP). Specification tests based on the estimated labor supply elasticities, partial adjustment coefficients, and residuals demonstrate the improvements from a semiparametric partially linear model. Our empirical results point to a need by economists to revisit the issue of the speed of labor market adjustment to policy induced shifts in labor demand and to take more formal econometric account of heterogeneity in wage effects when studying the distributional consequences of tax reforms for labor supply earnings. First version received: July 2000/Final version received: January 2001     

Inflation and growth: Explaining a negative effect

The paper presents a monetary model of endogenous growth and specifies an econometric model consistent with it. The economic model suggests a negative inflation-growth effect, and one that is stronger at lower levels of inflation. Empirical evaluation of the model is based on a large panel of OECD and APEC member countries over the years 1961–1997. The hypothesized negative inflation effect is found comprehensively for the OECD countries to be significant and, as in the theory, to increase marginally as the inflation rate falls. For APEC countries, the results from using instrumental variables also show significant evidence of a similar behavior. The nature of the inflation-growth profile and differences in this between the regions are interpreted with the credit production technology of the model in a way not possible with a standard cash-only economy. Research assistance by László Konya, Rezida Zakirova, and Anton Nakov and comments by Michal Kejak, Myles Wallace and Toni Braun are kindly acknowledged, along with comments from the 17^th European Economic Association Meetings, Venice, and the 10^th International Panel Data Conference, Berlin. We also thank the editors and referees for valuable comments, and the first author is grateful to Central European University for research funds.     

Environmental performance,corruption and economic growth: global evidence using a new data set

This study investigates the relationship between environmental performance, corruption and economic growth using panel data of 87 countries covering the period from 2002 to 2012. The Environmental Performance Index is used for the first time to evaluate the environmental quality on economic growth. By employing both ‘static’ and ‘dynamic’ panel models, we find that environmental performance is positively related to economic growth and is more significant in non-Organization for Economic Cooperation Development (OECD) countries. Moreover, when corruption is incorporated, the empirical estimation results indicate that although lower corruption helps economic growth in non-OECD countries, the negative coefficients of the three interactive terms show that the positive effect of environment performance on economic growth will drop, while greater environmental performance combined with natural resource abundance inevitably leads to inefficient bureaucracies and hence disadvantageous economic growth. As a result, policymakers in non-OECD countries should carefully ensure better government quality when they exhibit strong environmental performance so as to avoid any disadvantageous impact upon economic growth.     

Geopolitical risks and recessions in a panel of advanced economies: evidence from over a century of data

This paper uses a panel of 17 advanced countries over the annual period of 1899–2013, to analyze for the first time, the role played by geopolitical risks in predicting recessions. After controlling for other standard predictors based on a logit model, we find that while aggregate geopolitical risks do not have any predictive ability, geopolitical acts enhance the probability of future recessions, with geopolitical threats reducing the same.     

国际R&D溢出与生产率增长——基于APEC视角的动态面板数据分析

本文从服务贸易进口、FDI流入和生产率积聚效应等方面扩展了CH模型,并以APEC成员作为研究对象,运用动态面板数据模型和脉冲响应函教研究了全要素生产率、技术效率和技术进步的动态变化规律,得出了全要素生产率、技术效率和技术进步存在显著的积聚效应;本国R&D资本存量有助于提升技术效率,但是能否促进技术进步刖依赖于R&D投入强度;和通过服务贸易渠道获得的国际R&D溢出对全要素生产率和技术进步均有显著的促进作用等三个一般性结论.     

The effect of the Internet on economic growth: Evidence from cross-country panel data

Using cross-country panel data, we found evidence that the Internet plays a positive and significant role in economic growth after investment ratio, government consumption ratio, and inflation were used as control variables in the growth equation.     

The predictive value of subjective labour supply data: A partial-adjustment model with measurement error

This paper tests the predictive value of subjective labour supply data for adjustments in working hours over time. The idea is that if subjective labour supply data help to predict working hours, the subjective data must contain at least some information on individual labour supply preferences. In this paper, I formulate a partial-adjustment model that allows for measurement error in the observed variables. Applying estimation methods that are developed for dynamic panel data models, I find evidence for a predictive power of subjective labour supply data concerning desired working hours in the German Socio-Economic Panel 1988–1995.I wish to thank John Haisken-DeNew, Astrid Kunze, Markus Pannenberg, Winfried Pohlmeier, Frank Windmeijer, Rainer Winkelmann, my former colleagues at IZA and two anonymous referees for their valuable comments. The author gratefully acknowledges DIW for providing the data.First version received: December 2001/Final version received: December 2003     

The effects of land market development on economic growth： an empirical analysis based on Chinese panel data, 1999-2005

Optimized land resources allocation is important for economic growth because land is one of the basic elements for economic development. And urban land resources allocation has had an increasingly important influence since the Chinese socialist market economy system was established. This paper estimates the production function of both the secondary and the tertiary industries of China＇s 31 provinces, autonomous regions and municipalities directly under the central government through an analysis of the panel data of the total output value of the secondary and the tertiary industries, invested capital, invested labor jorces and the land market-jeatured management of the above-mentioned regions during the period of 1999-2005. and examines the positive influence of the above- mentioned factors on regional economic output, This study concludes that urban economic output is positively related with the level of urban land resources market-featured management, since the rate of economic growth of those regions approximates 14. 7% under the condition of urban land market running during the period of 1999-2005.     

我国城市劳动力市场的就业效率

本文借助协整分析、面板数据模型等方法和工具,运用劳动部门公布的全国部分城市劳动力市场供求情况的数据和国家统计局公布的经济运行的相关数据,分析经济形势的变化对劳动力市场的影响,发现我国的经济增长与城市劳动力市场的求人倍率之间存在着较为稳定的均衡关系,发展第三产业是吸纳更多劳动力的有效途径,各行业投资吸纳就业的能力没有差别,因此,着重投资于居民服务和其他服务业等行业,可以有效引致更多劳动力需求。     

Testing poolability in a system of dynamic regressions with nonspherical disturbances

This study analyzes the testing of cross-equation restrictions within a set of regression equations. Through Monte Carlo experiments we examine the actual size of various asymptotic procedures for testing the poolability hypothesis, i.e., equal slope vectors across individual equations. Regression models with both lagged dependent variable regressors and nonspherical disturbances are considered. In these models we find that the performance in finite samples of classical asymptotic test procedures using critical values from either or ² approximations is often rather poor. However, employing the original test statistics with bootstrapped critical values leads to much more accurate inference in finite samples. In an empirical analysis of panel data on GDP growth and unemployment rates in OECD countries it is shown that classical asymptotic tests and bootstrap procedures may lead to conflicting test outcomes. I am indebted to Peter Boswijk, Jan Kiviet, Peter Vlaar, the associate editor and 2 anonymous referees for their constructive comments. I want to thank Geoffrey Garrett for kindly making available his data.     

The earnings effects of health and health-related activities: a panel data approach

We investigate the effects of health and health-related habits on earnings in China using panel data to control for unobserved heterogeneity related to individual traits and job characteristics. Health-related habits include smoking cigarettes, drinking tea, frequency of drinking alcohol and physical exercising. We find a significant and large impact of health status on earnings, controlling for schooling, experience and the unobserved individual heterogeneity and job heterogeneity. We also find that smoking has a strong negative effect on earnings net of health status, while the estimated effects of other health-related activities are statistically insignificant.