Threshold Effects of Inflation on Economic Growth: Is Africa Different?

This study examines nonlinearities in the inflation-growth nexus in Africa. The study employs a novel dynamic panel threshold regression method developed by Kremer et al. [(2013). Inflation and growth: New evidence from a dynamic panel threshold analysis. Empirical Economics, 44, 861–878. doi:10.1007/s00181-012-0553-9] that extends Hansen’s [(1999). Threshold effects in non-dynamic panels: Estimation, testing, and inference. Journal of Econometrics, 93, 345–368. doi:10.1016/S0304-4076(99)00025-1] non-dynamic panel threshold model as well as Caner and Hansen [(2004). Instrumental variable estimation of a threshold model. Econometric Theory, 20, 813–843. doi:10.1017/S0266466604205011] cross-sectional threshold model to deal with potential endogeneity problems. The findings of this study confirm a non-linear relationship between inflation and economic growth in Africa. More specifically, the results show that the inflation threshold values are 6.7% for the whole sample, 9% for the sub-sample of low-income countries and 6.5% for middle-income countries. The regression results suggest that relatively lower level of inflation appears to be in favor of higher economic growth only in African middle-income countries. However, inflation rate beyond a certain threshold is more likely to be detrimental to economic growth for all the cases. These results are robust by considering additional control variables and using three-year averages of the data. The findings of this study may be useful to African monetary policymakers as they decide on inflation targets to adopt to avoid the detrimental effects of high inflation while reaping the growth benefits of low inflation.     

Growth in Africa: does the source of investment financing matter?

This paper examines empirical evidence for 11 sub-Saharan African countries on the relationship between economic growth and three principal sources of investment funds: foreign aid, foreign direct investment, and domestic saving. In light of the shortcomings of traditional cross-section analyses, the time series approach is used instead. Modern time series methods are rigorously applied, beginning with unit root tests and followed by model specifications that reflect the revealed temporal behaviours of the variables in each of the 11 countries. Domestic saving seems to play a somewhat more important role in generating economic growth than foreign direct investment or foreign aid. However, the mixture of results across the 11 countries implies that, in general, it is not possible to rank one source of investment financing ahead of any other.     

Does Institutional Quality Matter for Financial Development and Growth? Further Evidence from MENA Countries

This study scrutinises the role of institutional quality in the linkage of financial development and economic growth in 21 Middle East and North African (MENA) countries. Using the common correlated effect mean pooled approach and annual data for the period 1980–2012, we find that not all measures of financial development promote economic growth in the absence of institutional quality, but they all augment growth in the presence of institutional quality. Furthermore, we find that foreign direct investment enhances the growth of MENA countries by the development of financial markets.     

Teach a man to fish? Education vs. optimal taxation

Abstract In models of redistribution, differences in human capital are often the relevant source of heterogeneity among individuals. Presumably, the distribution of human capital can be manipulated through education spending. This paper examines the use of education as a redistributive tool when there is a non‐linear tax system in place. The results show that taxation, whether under full or asymmetric information, substantially reduces the redistributive role of education spending in maximizing social welfare. This points to a conflict between the equalization of utility and human capital outcomes.     

New wine in old wineskins? Growth,terrorism and the resource curse in sub-Saharan Africa

Since 1995, growth in sub-Saharan Africa has averaged more than 5% per year reversing a two-decade decline of real income per capita. In this paper, we explore the extent to which the nascent growth is sustainable or not due to higher incidences of terrorism and commodity price declines. Our analysis is based on a rich unbalanced panel data set with annual observations on 46 countries from 1968 to 2004. We explore these data with cross-sectional and panel growth regression analysis and quantile regressions. We estimate the economic and statistical effect of terrorism on growth in sub-Saharan Africa, controlling for a variety of other factors. We then investigate the extent to which there appears to be a structural break in the estimated relationships. We find that the terrorist-oriented fragility of sub-Sahara has increased in the most recent period. We find that most of the fragility can be explained by the growth in countries that are primary fuel exporters. Indeed, our evidence points to the fact that resource-rich countries have not done an adequate job of investing in counter-terrorist policies.     

Institutional Quality and Economic Development in Sub-Saharan Africa: Can Management Effort and Bribes Compensate for Low-Quality Institutions?

The industrial development in sub-Saharan Africa is perhaps more affected by the quality of institutions than that of other regions. We investigate what alternatives managers may have and what their firms would need to function in case the institutional furniture they encounter is of low quality. We find that, in high quality institutional environments, management spending effort to deal with the authorities and to navigate regulations negates the effect of the institutional environment. Managers do not need to spend such efforts. Perhaps surprisingly, we find that the positive effect of high-quality institutional environments on firm performance is enhanced by making informal payments.     

Direct decision making vs. oblique decision making: which is right?

The complexity of health care environments is far too complicated for solutions to be developed by a small group or isolated upper managers. This direct leadership approach often fails. Leaders who use a more oblique approach focusing on areas such as long-term economic value, creating significant benefits for the wider community, and building robust social capital within the company are successful. Obliquity leadership is very appropriate for health care because of its constantly changing environment. Obliquity leadership and shared governance are great partners in reaching higher levels of involvement and high performance.     

Where to go? Workers' reasons to quit and intra- vs. interindustry job mobility

We show that workers' reasons for quitting their job affect their decision to stay in or leave their industry, using survey data among public sector employees in the Netherlands. Workers quitting for e.g. pay, work pressure, or job duties move relatively often to another industry, in contrast to workers quitting for commuting time or the atmosphere at work. This suggests that workers use their experience in the initial job to update their expectations on other jobs in the industry, as the first set of job aspects is more likely to be related among jobs within an industry than the latter. Furthermore, it is shown that workers' reasons to quit fully explain the differences in wage growth between intra- and interindustry job movers. Lastly, we find that workers who quit for pay or management often leave the public sector altogether.     

Do Financial and Institutional Variables Enhance the Impact of Remittances on Economic Growth in Latin America and the Caribbean? A Panel Cointegration Analysis

Using recently developed panel unit root and panel cointegration tests and the Fully-Modified OLS methodology (FMOLS), this paper estimates the impact of remittances on the economic growth of selected upper and lower income Latin American & Caribbean (LAC) countries over the 1990–2007 period. Despite the large flow of remittances to the region, there have been relatively few empirical studies assessing the impact of remittances on economic growth in LAC. Panel unit root tests suggest that several of the macro variables included in the model exhibit unit roots, yet, at the same time, Pedroni’s panel cointegration test determined that there is a cointegrating relationship among the variables in the estimated model. The FMOLS estimates suggest that remittances have a positive and significant effect on economic growth in both groups of countries. The estimates also indicate that both the degree of economic freedom and credit provided by the banking system have a positive and significant effect on economic growth in upper (middle) income LAC countries. The sign of the interaction term between remittances and the credit (and EFI) variables suggest that remittances act as substitutes for these variables. Finally, the effect of remittances on both sets of countries is stronger in the presence of a financial (credit) variable.     

Technology variation vs. R&D uncertainty: What matters most for energy patent success?

R&D is an uncertain activity with highly skewed outcomes. Nonetheless, most recent empirical studies and modeling estimates of the potential of technological change focus on the average returns to research and development (R&D) for a composite technology and contain little or no information about the distribution of returns to R&D – which could be important for capturing the range of costs associated with climate change mitigation policies – by individual technologies. Through an empirical study of patent citation data, this paper adds to the literature on the outcomes of energy R&D by focusing on the behavior of the most successful innovations for six energy technologies, allowing us to determine whether uncertainty or differences in technologies matter most for success. We highlight two key results. First, we compare the results from an aggregate analysis of six energy technologies to technology-by-technology results. Our results show that existing work that assumes diminishing returns but assumes one generic technology is too simplistic and misses important differences between more successful and less successful technologies. Second, we use quantile regression techniques to learn more about patents that have a high positive error term in our regressions – that is, patents that receive many more citations than predicted based on observable characteristics. We find that differences across technologies, rather than differences across quantiles within technologies, are more important. The value of successful technologies persists longer than those of less successful technologies, providing evidence that success is the culmination of several advances building upon one another, rather than resulting from one single breakthrough. Diminishing returns to research activities appear most problematic during rapid increases of research investment, such as experienced by solar energy in the 1970s.     

Technology variation vs. R&D uncertainty: What matters most for energy patent success?

R&D is an uncertain activity with highly skewed outcomes. Nonetheless, most recent empirical studies and modeling estimates of the potential of technological change focus on the average returns to research and development (R&D) for a composite technology and contain little or no information about the distribution of returns to R&D – which could be important for capturing the range of costs associated with climate change mitigation policies – by individual technologies. Through an empirical study of patent citation data, this paper adds to the literature on the outcomes of energy R&D by focusing on the behavior of the most successful innovations for six energy technologies, allowing us to determine whether uncertainty or differences in technologies matter most for success. We highlight two key results. First, we compare the results from an aggregate analysis of six energy technologies to technology-by-technology results. Our results show that existing work that assumes diminishing returns but assumes one generic technology is too simplistic and misses important differences between more successful and less successful technologies. Second, we use quantile regression techniques to learn more about patents that have a high positive error term in our regressions – that is, patents that receive many more citations than predicted based on observable characteristics. We find that differences across technologies, rather than differences across quantiles within technologies, are more important. The value of successful technologies persists longer than those of less successful technologies, providing evidence that success is the culmination of several advances building upon one another, rather than resulting from one single breakthrough. Diminishing returns to research activities appear most problematic during rapid increases of research investment, such as experienced by solar energy in the 1970s.     

How to improve the university–industry collaboration in Taiwan's animation industry? Academic vs. industrial perspectives

This study demonstrates the use of importance–performance analysis (IPA) to prioritise the motivators that can facilitate university–industry collaboration in the animation industry in Taiwan. This study confirms that financial supports and education are still major reasons for academia to participate in the university–industry collaboration. Reducing costs and obtaining human training are the reasons for animation firms to join the university–industry collaboration. However, by comparing the results of IPA for academia and industry, this study recommends four common interest motivators from both academic and industrial perspectives and where efforts should be concentrated. Research facilities, external competencies, talents, and innovation capacity are very important for the animation industry of Taiwan.