What determines productivity performance of telecommunications services industry? A cross-country analysis

This article investigates the key factors that determine the productivity performance of telecommunications services industry. A simple theoretical model is used to illustrate that the Total Factor Productivity (TFP) growth is attributable to the effects of scale economies, market competition and technical change. We then examine empirically the effect of various factors on the TFP growth in the industry using panel data in 12 Organization for Economic Co-operation and Development (OECD) countries for the period 1983 through 2003. The empirical results are consistent with the theoretical prediction. A new finding in this article is that higher machinery and equipment (M&E) capital intensity and human capital contribute to higher TFP growth in the telecommunications services industry. The decomposition analysis also suggests that technical change induced by changes in M&E capital intensity and human capital are important sources of productivity performance in the industry across the OECD countries, contributing to about 20–50% and 2–7% of TFP growth, respectively. These findings highlight the importance of improving the conditions for M&E capital investment and the quality of human capital, which in turn could facilitate the adoption of new technologies and enhance the productivity in the industry.     

Who was colonized and when? A cross-country analysis of determinants

The process of colonization has shaped the economic and demographic contours of the modern world. In this paper, we study the determinants of the occurrence and timing of colonization of non-European countries by Western European powers. Of particular interest is the role of early development measures that are known to be strong correlates of present-day levels of income. We show that non-European societies with longer histories of agriculture and statehood and higher levels of technology adoption in 1500 were less likely to be colonized, and tended to be colonized later if at all. We also find that proximity to the colonizing powers, disease environment, and latitude are significant predictors of the occurrence and timing of colonization, although their impacts are less robust to choice of country sample. Our models have high explanatory power, and their support for the significance of early development is robust to the use of alternative indicators of early development and disease, to the use of instruments to focus on the exogenous component of early development, and to the joint estimation of the colonization and timing equations to correct for potential selection bias.     

Is there the threshold effect of cigarette price on smoking prevalence? A cross-country panel data analysis

This article shows new cross-country evidences by empirically investigating the joint effects of cigarette price levels and joining the World Health Organization Framework Convention on Tobacco Control (WHO FCTC) on smoking prevalence in 74 countries over the period of 2000, 2003, 2005 and 2006. We assessed cigarette price elasticity for three national income levels using different databases on cigarette price from the Economist Intelligence Unit (EIU), demographic and socioeconomic country characteristics from the World Bank and adjusted smoking prevalence rates published by various yearly WHO reports on the global tobacco epidemic from 2000 to 2010. A panel threshold regression was used to capture the nonlinear effects that cigarette prices on smoking prevalence at the three national income levels endogenously determined by estimation. Our findings supported the evidence that joining the WHO FCTC would have a positive effect on reducing cross-country smoking prevalence, especially among countries with low- and medium-income levels. Moreover, some simulated results show that a price hike of 10% would reduce smoking prevalence in countries with national income levels equal to or less than US$1900 and by 7.2% in countries with national income levels between US$1900 and US$2510 more than those with national income levels that are higher than US$2510.     

Does direct democracy make for better citizens? A cautionary warning based on cross-country evidence

It has been shown that both formal existence and actual use of direct democratic institutions have effects on a number of variables such as fiscal policies, quality of governance but also economic growth. Further, it has been argued that direct democratic institutions would not only have an impact on policy outcomes but influence citizen participation and attitudes toward politics. For the first time, these conjectures are tested in a large cross-country sample here. Overall, we do not find strong effects and some of the significant correlations are rather small substantially. In contrast to previous studies, voter turnout is not higher when direct democracy is available or used. Further, and also in contrast to previous studies, citizens do not express a greater interest in politics in countries with direct democracy institutions. Finally, they display lower trust in government and parties but not in parliament. These results shed some doubt on the hope that direct democracy would make for better citizens.     

What determines the value of recommendation change? A preliminary analysis

This article determines the condition under which recommendation changes relative to consensus recommendation and recommendation changes relative to analyst’s previous recommendation are valuable. We show that recommendation upgrades (downgrades) relative to consensus recommendation are followed by significantly positive (negative) short-term returns whenever consensus recommendation represents convergence of analysts’ opinions. We also show that as the standard deviation associated with consensus recommendation increase, the value of recommendation changes reduce significantly. This article also shows that recommendation upgrades (downgrades) relative to analyst’s previous recommendation are followed by significantly positive (negative) short-term returns whenever interval between two consecutive recommendations is relatively short. We also show that, as the interval between two consecutive recommendations increase, the value of recommendation changes reduce significantly. Our results are robust across various subsamples based on size and region.     

What drives cross-country differences in export variety? A bilateral panel approach

A worldwide event like the 2020 Coronavirus outbreak can only reinforce the interest in modelling trade diversification as a key factor in countries’ vulnerability to external shocks. This paper adopts a detailed relative framework to study the determinants of product-level export variety in a large bilateral panel of developing and developed economies (16,770 country pairs in the period 1988–2014). We find that country pairs characterized by large differentials in productivity and in the makeup of the labour force differ in export variety patterns. This result holds after controlling for other endowments and for trade costs. Further, productivity plays a significant role in the reduction of export variety dissimilarities between countries belonging to different income groups. Hence, without successful technological convergence the low-income economies will not be able to reduce their exposure to export risk.     

Like father, like son? A note on the intergenerational transmission of IQ scores

Using a large population-based dataset, we estimate a substantial intergenerational transmission of IQ scores; a 10% increase in father's score at age 18 is associated with a 3.2% increase in son's score. This relationship also holds true for various subpopulations.     

Innovation dynamics in the EU: convergence or divergence? A cross-country panel data analysis

This paper investigates whether a convergence or divergence of national innovation capabilities of the 15 EU countries occurs in the course of time. An answer to this question permits immediate conclusions with regard to the success prospects of a convergence of per capita incomes and labor productivities within the EU. For the empirical analysis based on patents granted at the US-Patent and Trademark Office, unit root tests for time series and panel data are used to scrutinize the convergence hypothesis. Taking all results together, evidence points to the fact that an absolute convergence of innovation capabilities is an exception. However, for a number of countries the results suggest either conditional convergence or convergence to their own growth paths.

Ownership of individual retirement accounts – an empirical analysis based on SHARE

This paper examines the household retirement saving decisions in what concerns to the ownership of Individual Retirement Accounts (IRAs) in eight European Union (EU) countries. IRAs are more and more seen as an alternative to public pension benefits, which are decreasing. Therefore, understanding the enrolment in IRAs, both the socio-economic factors and over time, is most important. Detailed empirical analysis of the factors that might influence the ownership of IRAs is presented based on Survey of Health Ageing and Retirement in Europe (SHARE), using data from Wave 2 (2006–2007) and Wave 4 (2010–2011). Further, to analyse the impact of legal retirement age in the ownership of IRAs, two subsamples are considered: people aged between 50 and 64 years old (50–64 years) and people aged 65 or over (≥ 65 years). The results suggest that age, years of education, income and ownership of dwelling influence positively and significantly household saving, while number of children, marital status and risk aversion have a negative effect. Marital status and income are not statistically significant for retired people. Policy implications are derived.     

Predicting time to nursing home placement based on activities of daily living scores – a modelling analysis using data on Alzheimer's disease patients receiving rivastigmine or donepezil

Abstract

Objective: To quantify the impact of activities of daily living (ADL) scores on the risk of nursing home placement (NHP) in Alzheimer's disease (AD) patients.

Setting: Models predicting NHP for AD patients have depended on cognitive deterioration as the primary measure. However, there is increased recognition that both patient functioning and cognition are predictive of disease progression.

Methods: Using the database from a prospective, randomised, double-blind trial of rivastigmine and donepezil, two treatments indicated for AD, Cox regression models were constructed to predict the risk of NHP using age, gender, ADL and MMSE (Mini-Mental State Examination) scores as independent variables.

Participants: Patients aged 50–85 years, with MMSE scores of 10–20, and a diagnosis of dementia of the Alzheimer type.

Results: Cox regression analyses indicated that being female, older age, lower ADL score at baseline, and deterioration in ADL all significantly increased the risk of NHP. Over 2 years, risk of NHP increased by 3% for each 1-point deterioration in ADL score independent of cognition.

Conclusion: Data analyses from this long-term clinical trial established that daily functioning is an important predictor of time to NHP. Further research may be required to confirm whether this finding translates to the real world.     

Offset carbon emissions or pay a price premium for avoiding them? A cross-country analysis of motives for climate protection activities

This article contributes to the economic literature on pure and impure public goods by considering two alternatives for contributing to the public good climate protection: offsetting carbon emissions from conventional consumption or paying higher prices for climate-friendly products. We empirically examine a wide range of motives and their impact on individuals’ choice in favour of these two alternatives relying on data from representative international surveys. Our results indicate that environmental awareness, warm glow motives and the desire to set a good example have the most robust effects on both climate protection activities in Germany and the United States. However, some motives differ considerably between both alternatives and the two countries. A green identity enhances the willingness to pay a price premium for climate-friendly goods or services in Germany, while social norms seem to be of much higher relevance in the United States. Our results further suggest that the choice of climate protection activities, especially of carbon offsetting, entails a high degree of uncertainty.     

Do prices count? A micro-econometric study of illicit drug consumption based on self-reported data

Using a unique data set of almost 2,500 interviews with people attending a needle exchange service in Oslo, this paper sets out to estimate the impact of economic factors on heroin and amphetamine injectors drug consumption, including cross-price effects. To examine the robustness of the conclusions, four model versions are considered: with focus on (i) switching regression mechanisms treating dealing/non-dealing as an endogenous decision, (ii) spline function versions examining possible kinks in the price response, (iii) a dynamic model version focusing on addiction, and (iv) pseudo panel data model versions focusing on unobserved heterogeneity. Negative and significant price elasticities and positive and significant income elasticities come out as robust results. Their magnitude vary, however, depending on the type of model, on the main drug for injecting, and on whether the consumer also is a dealer.First version received: November 2002/Final version received: June 2003This paper builds in part on Bretteville-Jensen and Sutton (1996): Under the influence of the market: An applied study of illicitly selling and consuming of heroin, Discussion paper no. 147, Centre for Health Economics, University of York, in which the authors thank Andrew Jones and Jes Søgaard for helpful advice during early stages of the work. We also express our thanks to Jan Erik Askildsen, Kjell Erik Lommerud, Aina Uhde, and a referee for valuable comments on this extended version.     

Can the augmented Solow model explain China’s remarkable economic growth? A cross-country panel data analysis

China’s economy grew at an average annual rate of 9% over the last three decades. Despite the vast empirical literature on testing the neoclassical model of economic growth using data on various groups of countries, very few cross-country regressions include China and none of them particularly focuses on the explanation of China’s remarkable economic growth. We attempt to fill this gap by utilising panel data on 146 countries over the period 1980–2004 to examine the extent to which the rapid growth of China and the huge gap in the growth rate between China and other countries can be explained by the augmented Solow model. Using system GMM estimation techniques, we find that, in spite of the restrictive assumptions involved, the Solow model augmented by both human capital and structural change provides a fairly good account of international variation in economic growth. In particular, China’s relative success in economic growth is due to high physical capital investment, conditional convergence gain, dramatic changes in the structure of employment and output, and low population growth.     

Investment risk analysis of China＇s wind power industry based on pre-assessment matrix

Wind energy is a clean and sustainable energy, and wind power does not rely on fossil fuels. So there is no fuel price risk, and it, of course, does not include the environmental costs, such as carbon emissions. Because of these unique advantages, wind power has gradually become an important part of the strategy of sustainable development in China. Now with the growing voices on global greenhouse gas emission reduction, and as a clean and efficient energy, wind power has huge potential in combating climate change, energy security pressures and the needs for energy. Wind power in China began to develop from the 1980s. In the first 20 years, the speed of development was slow; but since 2004, it has had an extremely rapid growth.This paper, in order to study the development mechanism of China＆amp;amp;amp;#39;s wind power industry, investigated and analyzed the status quo of wind power industry in China, and then found that （1） the development trend of wind power industry in China appears exponential growth; （2） China＆amp;amp;amp;#39;s installed capacity of wind power is still smaller than that os some other countries; （3） new subsidy policies bring developing opportunities to wind power industry in China; （4） the sectors of wind power industry are in unbalanced growing; （5） the owners of proposed wind farms are too optimistic though the built wind farm had many problems. In addition, by using the methodology of Game Theory, this paper has also constructed the matrix of pre-assessing risks of China＆amp;amp;amp;#39;s wind power industry to further discuss the potential risk factors within China＆amp;amp;amp;#39;s wind power industry as risk factors of wind farm construction, risk factors of production of wind turbines, risk factors of parts and components manufacturing industry under risk indicators like R＆amp;amp;amp;amp;D, patents, the domestic policy, the international policy, the quality of products and the market regulation, in order to provide a scientific assessment and self-assessment tool for investors or implementers, and also to promote the further development of the wind power industry.     

A semantic analysis approach for identifying patent infringement based on a product–patent map

Identifying patent infringement beforehand is highly important for reducing the risk of damages. However, as the approach to patents is changing from the technological and legal approaches of the past to the business approach, strategic patent infringement litigation and securement of patents can be important tools for companies. From various viewpoints, companies can consider an aggressive patent infringement litigation as well as evasion strategy of patent infringement litigation to keep competitors in check. Previous research on patent infringement identification only considered the possibility of infringement between patents. However, infringement cases between patent and product are prevalent. Thus, this research aims to suggest an automated method for identifying patent infringement between the patent and product in business. To this end, this paper proposes the subject–action–object (SAO) semantic technological similarity-based product–patent method for generating infringement maps. Several indices and subgrouping methods are suggested to interpret the map. As an exemplary case, data on technology and products related to the light emitting diode (LED) lamp are collected and exploited.     

Do stress tests matter? A study on the impact of the disclosure of stress test results on European financial stocks and CDS markets

During the recent sovereign debt crisis, the European Banking Authority conducted two stress tests on European banks in order to gauge their capital needs, core Tier-1 ratios and ratios of resilience to adverse shocks. We assess the informational content of the disclosure of the stress test outcomes. We conclude that the stress tests conveyed new information and that the outcomes were not anticipated by the stock market but were partially anticipated by the credit default swap (CDS) market. However, while the stock market reacted to the disclosure of the stress test outcomes, in the CDS market there is some evidence of a ‘reverse’ reaction. Moreover, the publication of the outcomes of the stress tests had a stronger impact on the stock prices of riskier financial institutions. A similar pattern is evident in the CDS market, albeit narrowed to one of the stress tests and amid the financial institutions with higher perceived credit risk.     

A model of quality control based on recycling economy and sustainable manufacture

People currentiy pay attention to a hotspot problem that how industrial production is evaluated and controlled based on sustainable development theory. Quality is one of the important indexes. Two mainstream theories guide us to realize the industrial sustainable development： mainly the circular economy and sustainable manufacturing are introduced. The basic characteristics of the sustainable manufacturing are introduced, and that quality management is important contents of sustainable development is indicated. Based on circular economy and sustainable manufacture theories, the drawbacks in the existing quality management models are analyzed. The requests that satisfy the big system ＂environment- society - economy＂ are summarized to build up a model. A Chinese traditional cultural principle is applied and the relevant contents are sublimated as the platform to set up the model. The new quality management concept models are put forward ＂T- D- R＂ three-dimensional structures and ＂ecological quality loop＂ model, from which the new quality concepts are formed The paper elaborates the contents and the process of setting up the models. The big quality problems of the system can be handled by the new quality concept and model that are validated in practice.     

Effects of exports on productivity and growth in India: an industry–based analysis

This study analyses the effects of exports on the level of output per capita using the panel estimates of an extended version of the Mankiw, Romer and Weil (The Quarterly Journal of Economics, CVII, 407-37, 1992) model, and on the total factor productivity using the time series estimators. The analysis is carried out for ten industries in the manufacturing sector in India. The results do not provide any evidence of convergence, and instead support the contrary evidence of divergence among industries. The exports do not induce convergence and instead seem to accentuate the process of divergence among industries. The study provides some evidence for the significant effects of exports on the level of output per capita and TFP in the manufacturing sector. The effects of exports on TFP are significant in half of the sample industries, while in the remaining half these are statistically insignificant.     

Evidence on the importance of cognitive ability tests for NFL quarterbacks: what are the relationships among Wonderlic scores,draft positions and NFL performance outcomes?

Employing data on National Football League (NFL) quarterbacks drafted between 2002 and 2012, the authors consider whether factors correlated with a quarterback being more productive in the NFL are the same factors that correlate with an improved draft position. In particular, the authors consider the relevance of scores on the Wonderlic test. Contrary to all prior literature on the subject, the authors find that performance on the Wonderlic test is positively correlated with NFL performance. However, the authors find no clear evidence that Wonderlic scores are correlated with draft position. Beyond this primary finding, the authors reveal many other interesting results that should help researchers better understand a quarterback’s progression from college to the NFL.