Government size,composition of public spending and economic growth in Brazil

The performance of the fiscal policy is largely affected by the relationship between government size, composition of public spending and economic growth. We use a theoretical framework to find optimal relations among these variables and confront them with a panel data for the Brazilian states. Private capital and government spending are substitute inputs in production as the Brazilian states require provision of public spending to fill gaps in the underdeveloped private sector. Public investment and current government expenditures are combined in fixed ratios in the overall government spending due to strong rigidity of the public budget. The optimal share of public investment is considerably lower than current expenditures, as occurs in developing countries characterized by low economic dynamism. Finally, the average tax burden from the data is below the estimated optimal level, meaning that there is space for increasing tax rate without harming economic growth for some Brazilian states.     

Policy tolerance of economic crime? An empirical analysis of the effect of counterfeiting on Italian trade

Some governments seem ambivalent towards economic crime because, on the one hand, there are adverse effects on competition and legal businesses; on the other hand, there are benefits through (shadow) employment and income in less-developed areas, as well as benefits through relations of political clientage. We focus on counterfeiting and its economic effects on trade in Italy during the economic crisis. Using a newly built regional dataset and a dynamic panel model, we find evidence of the dual impact of counterfeiting. The production (and exchange) of fake goods depresses the legal market that relies on intellectual property rights but supports shadow-economic activities for the benefit of illegal workers, criminal organisations, and political clientele. We show that the negative effects outweigh the positive effects.     

Does democracy cause growth? A meta-analysis (of 2000 regressions)

The relationship between democracy and economic growth has been widely debated in the social sciences with contrasting results. We apply a meta-analytical framework surveying 188 studies (2047 models) covering 36 years of research in the field. We also compare the effect of democracy on growth with the effect of human capital on growth in a sub-sample of 111 studies (875 models). Our findings suggest that democracy has a positive and direct effect on economic growth beyond the reach of publication bias, albeit weaker (about one third) of that of human capital. Further, the growth effect of democracy appears to be stronger in more recent papers not surveyed in Doucouliagos and Ulubaşoğlu (2008). Finally, we show that the heterogeneity in the reported results is mainly driven by spatial and temporal differences in the samples, indicating that the democracy and growth nexus is not homogeneous across world regions and decades.     

A multivariate time series analysis of energy consumption,real output and pollutant emissions in a developing economy: New evidence from Nepal

Mountain economies will have to play a central role in attaining the global pursuit of green economic growth as crucial bearers of ecosystems goods and services. However, these economies are not adequately represented in the development policy debates in spite of their fundamental importance towards global sustainable development. This study examines the inter relationships between energy consumption, output and carbon emissions in a developing mountainous economy using an augmented Vector Autoregression model. Time-series data over the period 1975–2013 is studied applying a multivariate framework using population and gross fixed capital formation as additional variables for Nepal. Testing for Granger causality between integrated variables based on asymptotic theory reveals a long-run unidirectional Granger causality running from GDP to energy consumption, and a unidirectional Granger causality running from carbon emissions to GDP. We suggest that the government of Nepal can address energy poverty by accelerating the adoption energy conservation policies such as rationing energy consumption and energy efficiency improvements to narrow the energy supply-demand gap. The opportunity to promote the uptake of decentralised off-grid renewable technologies in remote areas and the large scale development of hydropower at the national level also needs to be prioritized. Our results remain robust across different estimators and contributes to an emerging literature on the nexus relationships between energy consumption, income and carbon emissions in mountainous developing economies.     

The effect of economic policy uncertainty on China’s housing market

This study examines the relationship between economic policy uncertainty (EPU) and housing price at the macro-level in China as a developing country. The empirical evidence indicates that EPU has a leading effect on China’s housing market. In general, the housing market is prosperous when economic policy is stable and there is a positive relationship between housing price variation and EPU, which means housing market risk grows under unstable economic policies in this developing economy. Moreover, economic policy variation affects low-amplitude changes in housing prices. A variation of policy uncertainty enhances the risk premium of the housing market. By contrast, the level of EPU influences high-amplitude changes in housing prices, which reflects the trend of EPU dominating China's housing market.     

The non-inclusive nature of ‘all inclusive’ economics: Paradoxes and possibilities of the resort complex

The ‘All Inclusive’ (AI) concept has revolutionized package hospitality services and captured the attention of many industry stakeholders. Scholars have mostly investigated AI from the marketing perspective, whereas the economic ramifications of this type of product, for both hospitality operators and local communities, are still a barren landscape. Using a mixture of quantitative analysis techniques, including a two-step cluster analysis and econometric modeling, the study aims to enhance our conceptual capital pertaining to the economic impact of AI for local communities. The study focuses on overall tourists' spending, both within and outside their accommodation, with expenditure segmented into seven study-specific categories that highlight the economic specificities of AI. Findings, of interest to industry stakeholders, revealed the problematic and ambiguous status of AI provision in Cyprus, whereas actions, espousing the principles of cluster theories, that could maximize the economic contribution of AI to local economies are suggested.     

On the global supply of basic research

In a two-country Schumpeterian growth model, we study the incentives for basic research investments by governments in a globalized world. A country׳s basic research investments increase with the country׳s level of human capital and decline with its own market size. This may explain why some smaller countries invest so much in basic research. Compared with the optimal investments achievable when countries coordinate their basic research policies, a single country may over-invest in basic research. However, the total amount of decentralized basic research investments is always below the socially optimal investment level, which justifies policy coordination in this area.     

‘Globesity’? The effects of globalization on obesity and caloric intake

We examine the effect of globalization, in its economic and social dimensions, on obesity and caloric intake, namely the so –called ‘globesity’ hypothesis. Our results suggest a robust association between globalization and both obesity and caloric intake. A one standard deviation increase in globalization is associated with a 23.8 percent increase in obese population and a 4.3 percent rise in calorie intake. The effect remains statistically significant even after using an instrumental variable strategy to correct for some possible reverse causality and ommited variable bias, a lagged structure, and corrections for panel standard errors. However, we find that the primary driver (of the ‘globesity’ phenomenon) is the ‘social’ rather than the ‘economic’ dimension of globalization, and specifically the effect of changes in ‘information flows’ and ‘social proximity’ on obesity. A one standard deviation increase in social globalization increased the percentage of obese population by 13.7 percent.     

Dynamic estimation of the relationship between trade openness and output growth in Asia

This paper studies the relationship between trade openness and output growth for a sample of twenty-three Asian countries using both a static OLS and a dynamic ECM estimation models. At the country specific level, the findings of this study provide robust empirical evidence indicating that higher revealed trade openness is not the main engine explaining the Asian economic-growth miracle. In particular, the authors find that physical capital accumulation is at the core of the observed long-run output per worker growth. At the regional level, the authors observe a marked difference between the pre and post 1997–1998 financial crisis, whereas, in the post period, trade openness has a positive and significant effect on output growth. In general, the results from the dynamic estimations prove that the conventional OLS static estimates underestimate the effect of investment on output growth. In addition, the dynamic model allows for a separation of gains from trade between short term and long term. The paper results also provide evidence in support of the idea that, countries with a growing degree of trade openness may experience faster per-capita output growth through gains in productivity associated to capital accumulation, rather than the assumed technological spillover effects from the trading sector. Again, at the regional level in the post financial crisis period both short term and long term gains from trade are relevant to growth. Why more trade does not necessarily imply faster growth at all levels of revealed trade openness growth, remains a conundrum.     

The local impact of typhoons on economic activity in China: A view from outer space

We examine the impact of typhoons on local economic activity in coastal China. To capture potential damages from an individual typhoon we use historical typhoon track data in conjunction with a detailed wind-field model. We then combine our damage proxy with satellite derived nightlight intensity data to construct a panel data set that allows us to estimate the impact of typhoons at a spatially highly disaggregated level (approx. 1 km). Our results show that typhoons have a negative and significant, but short-term, impact on local activity – a typhoon that is estimated to destroy 50% of the property reduces local economic activity by 20% for that year. Over our period of analysis (1992–2010) total net economic losses are estimated to be in the region of $US 28.34 billion. To assess the damage risk from future typhoons we use simulated probability distributions of typhoon occurrence and intensity and combine these with our estimated effects. Results suggest that expected annual losses are likely to be around $US 0.54 billion.