The major determinants of logistic performance in a global perspective: evidence from panel data analysis

The global logistics industry has grown significantly and logistics has become an important sector of the business economic system and a major global economic activity in recent years. Logistics activities accelerate economic and productivity growth. Efficient logistics is also important to a country’s competitiveness and source of employment. The purpose of this paper is to uncover and understand the major determinants of logistics performance (LP) to further lift the LP of countries. Using unbalanced panel data of 93 selected countries from 2007 to 2014, the present research attempts to critically investigate the major determinants of LP. In estimating the model, this study prefers to use static panel data approach owing to limited data. The findings of the present study reveal that (a) countries with low level of corruption and stable political environment are likely to yield a high level of LP; (b) improvement in resources supply such as infrastructure, technology, labour, and education also have a significant positive effect on LP. Therefore, institutional reforms and upgrading resources will effectively accelerate LP.     

Electoral system,corporate political donation,and carbon emission intensity: Cross-country evidence

We examine the association between a country's electoral system and greenhouse gas (GHG) emission intensity of firms and explore whether this association is influenced by corporate political donation. The study draws on the neo-pluralist theory of power in society to examine how possible corporate influence in the electoral systems relates to corporate environmental performance. Using a cross-country panel dataset, we find that companies operating in countries using majoritarian electoral systems (MAJ), where corporations have a relatively low influence on election outcomes, are associated with lower GHG emission intensity than those in proportional electoral systems, after controlling for macro-economic factors and variations in firm characteristics. Further, our findings show that corporate political donation positively moderates the association between MAJ and GHG emission intensity. Our results suggest that corporations are likely to utilise political donations as a component of business strategy to ease the regulatory actions of the state on companies. The results are robust to alternative variable measurements and tests of sensitivity.     

“一带一路”倡议促进了沿线国家产业结构升级吗？

本文旨在考察“一带一路”倡议对“一带一路”沿线国家产业结构升级的影响,在构建“一带一路”倡议影响沿线国家产业结构升级作用机制框架的基础上,基于49个沿线国家和65个非沿线国家2006—2018年的面板数据,采用倾向得分匹配与双重差分相结合的方法对“一带一路”倡议影响沿线国家产业结构升级的政策效应进行评估。实证结果表明,“一带一路”倡议在总体上能够显著促进沿线国家产业结构朝着高级化和合理化的方向发展。进一步分析表明“一带一路”倡议的政策效果具有“滞后”特征,随着时间推移,其影响程度和效果有增大趋势,并且“一带一路”倡议对不同收入水平以及不同区域位置沿线国家的产业结构升级效应存在显著异质性;在“一带一路”倡议下,通过扩大双边贸易往来、加强双边产能合作、积极推进沿线国家基础设施互联互通等途径,可以促进沿线国家产业结构优化升级,相比较而言,通过双边产能合作渠道对沿线国家产业结构升级的促进效果最大,贸易往来渠道次之,基础设施互联互通渠道最小。本文据此提出相应政策建议,以期为推动“一带一路”建设高质量发展和行稳致远提供一定参考。     

Natural resource rents and internal conflicts: Can decentralization lift the curse?

We study how natural resource rents affect the risk of internal conflict within countries and how the federal structure of countries influences this relationship. Natural resource abundance may induce excessive rent-seeking and thus increase the risk of internal conflict. Fiscal and political decentralization as an institutional arrangement for rent-sharing and political codetermination of regions within a country may limit the destructive effect of natural resource rents on internal stability. Using cross-country and panel data from more than 90 countries covering the period 1984–2004, we find evidence that natural resource rents indeed increase the risk of internal conflict, but this relationship is significantly mitigated by political decentralization.     

Capital account liberalization and foreign direct investment

We examine the impact of capital account policies on FDI inflows. Using an annual panel dataset of 83 developing and developed countries for 1984-2000, we find that capital account openness is positively but only very moderately associated with the amount of FDI inflows after controlling for other macroeconomic and institutional measures. To a large extent, other country characteristics seem to determine FDI inflows instead of capital account policies. We also find that capital controls are easily circumvented in corrupt and politically unstable regimes. We conclude that liberalizing the capital account is not sufficient to generate increases in inflows unless it is accompanied by a lower level of corruption or a decrease in political risk.     

The productivity of transport infrastructure investment: A meta-analysis of empirical evidence

Investments in transport infrastructure have been widely used by decision makers to encourage economic growth, particularly during periods of economic downturn. There has been extensive research on the linkage between transport infrastructure and economic performance since the late 1980s, characterised by widely varying evidence. We conduct a meta-analysis of the empirical evidence on the output elasticity of transport infrastructure, based on a sample of 563 estimates obtained from 33 studies. Previous meta-analyses have focused on total public capital and hence cannot appropriately explain the wide variation in the productivity effect of transport infrastructure nor provide guidance to policymakers on the returns to investment in different types of transport infrastructure. Our results indicate that the existing estimates of the productivity effect of transport infrastructure can vary across main industry groups, tend to be higher for the US economy than for European countries, and are higher for roads compared to other modes of transport. The variation in the estimates of the output elasticity of transport is also explained by differences in the methods and data used in previous studies. Failing to control for unobserved heterogeneity and spurious associations tends to result in higher values, while failing to control for urbanisation and congestion levels leads to omitted variable bias. These findings can be used to inform future research on the choice of model specification and estimation and transport-related policy making.     

International evidence on the Democrat premium and the presidential cycle effect

In this paper, we provide further empirical evidence on the relationship between political cycles and stock returns. While previous empirical results on the Democrat premium and the presidential cycle effect are limited to the U.S., we investigate both anomalies using an international dataset covering 15 countries. The database allows us to apply a panel framework, in addition to an empirical analysis of the individual countries. Our results show that the Democrat premium and the presidential cycle effect are not strikingly pervasive global phenomena. This finding is robust and valid after controlling for business-cycle conditions. The panel regressions do not support either of the two anomalies.     

Is infrastructure capital productive? A dynamic heterogeneous approach

This paper offers an evaluation of the output contribution of infrastructure. Using a panel time series approach and a large cross‐country dataset, the paper estimates a long‐run aggregate production function relating gross domestic product to human capital, physical capital, and a synthetic measure of infrastructure comprising transport, power and telecommunications. Tests of the cointegration rank allowing it to vary across countries reveal a common rank with a single cointegrating vector, which we interpret as the long‐run production function. Estimation of its parameters is performed using the pooled mean group (PMG) estimator, which allows for unrestricted short‐run parameter heterogeneity across countries while imposing the (testable) restriction of long‐run parameter homogeneity. The long‐run elasticity of output with respect to the synthetic infrastructure index ranges between 0.07 and 0.10. The estimates are highly significant, both statistically and economically, and robust to alternative dynamic specifications and infrastructure measures. Tests of parameter homogeneity fail to yield evidence that the long‐run parameters differ across countries. Copyright © 2014 John Wiley & Sons, Ltd.     

Political and Institutional Determinants of Credit Booms

The literature that investigates credit booms has essentially focused on their economic determinants. This paper explores the importance of political conditionings and central bank independence and provides some striking findings on this matter. Estimating a fixed effects logit model over a panel of developed and developing countries for the period 1975q1–2016q4, we find that credit booms are less likely when right‐wing parties are in office, especially in developing countries, and when there is political instability. However, they have not proven to depend on the electoral cycle. More independent Central Banks are also found to reduce the probability of credit booms. Moreover, they seem to be more likely to occur and spread within a monetary union.     

The nexus between country risk and exchange rate regimes: A global investigation

Using a sample of 110 countries over the period 1984–2013, this paper examines the impacts of country risks on choosing a specific exchange rate regime (first by utilizing the Levy-Yeyati and Sturzenegger de facto classification and then robusting it by the IMF de jure measurement) relative to other regimes via the panel multinomial logit approach. Empirical findings are as follows. First, in the full samples case we provide evidence that government is more likely to implement a flexible regime, but less likely to adopt a fixed regime, under a low level of composite and financial risk. Second, we find that Eurozone countries are more likely to choose a fixed exchange rate regime with a decrease in the level of country risk and favor a flexible regime in response to a shock from an increase of risk, which is opposite to non-Eurozone countries. Third, we note that high-risk countries are more likely to choose a fixed regime with a low level of composite and political risk in the government, but do not adjust the exchange rate regime as a shock absorber when facing economic and financial risks. It is interesting to see that those countries with relatively low risk display almost opposite results versus high-risk economies. Overall, we believe that it is critically important to account for political economy variables in a government’s exchange rate policy decisions, especially for country risks. All results are robust to the panel ordered probit model.     

Is there a unit root in the inflation rate? Evidence from sequential break and panel data models

Using sequential trend break and panel data models, we investigate the unit root hypothesis for the inflation rates of thirteen OECD countries. With individual country tests, we find evidence of stationarity in only four of the thirteen countries. The results are more striking with the panel data model. We can strongly reject the unit root hypothesis both for a panel of all thirteen countries and for a number of smaller panels consisting of as few as three countries. The non-rejection of the unit root hypothesis for inflation is very fragile to even a small amount of cross-section variation. © 1997 John Wiley & Sons, Ltd.     

Developed stock market reaction to political change: a panel data analysis

This paper utilized panel data to examine the effects of political change in developed stock market. According to Hausman test, we capture the stock return by the fixed-effect model to fit the stock market. Political change was originally intended as an incumbent party impetus to create opportunities for progress. However, this has caused great political party distress, creating political change with an inverse stock return relationship in developed countries.     

Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test

This study applies the bootstrap panel causality test proposed by Kónya (2006. Econ Modell 23, 978) to investigate the causal link between political uncertainty and stock prices for seven OECD countries over the monthly period of 2001.01 to 2013.04. This modeling approach allows us to examine both cross-sectional dependency and country-specific heterogeneity. Our empirical results indicate that not all the countries are alike and that the theoretical prediction that stock prices fall at the announcement of a policy change is not always supported. Specifically, we find evidence for the stock price leading hypothesis for Italy and Spain, while the political uncertainty leading hypothesis cannot be rejected for the United Kingdom and the United States. In addition, the neutrality hypothesis was supported in the remaining three countries (Canada, France and Germany), while no evidence for the feedback hypothesis was found.     

Determinants of Intercountry Internet Diffusion Rates

This article employs cross-sectional data from 100 countries to analyze the main determinants of intercountry Internet diffusion rates. We set up an empirical model based on strong theoretical foundations, in which we regress Internet usage on variables that capture social, economic, and political differences between these countries. Our results support past findings that economic strength, infrastructure, and knowledge of the English language positively affect Internet connectivity. In addition to these indicators, the openness of a country, tertiary enrollment, and income equality are found to also have a significant positive effect on Internet diffusion.     

Collective memories,propaganda and authoritarian political support

Can experience with democracy affect political support for a dictator? We develop a political economy model with endogenous reference points, where a dictator strategically reactivates traumatic collective memories about a past experience with democracy, to convince the population that a democratic alternative is inferior to the autocratic status quo. We find that a more traumatic experience with democracy in the past renders propaganda more efficient and increases the level of authoritarian political support per unit of memory recollection. We support these findings with panel data evidence from 103 countries.     

Political institutions behind good governance

The present paper investigates the role of political institutions — namely, political regimes and electoral rules — in shaping the capacity of the government to implement policies that address citizens’ preferences, i.e., “good governance”. The empirical analysis, conducted on a panel of 80 democratic countries over the period 1996–2011, shows that the performance of the government depends on the interaction between electoral rules and political regimes. In particular, the performance of a government under a presidential regime improves when associated with a majoritarian electoral rule, while it worsens with a proportional electoral rule.     

The impact of political instability on risk‐taking in the banking sector: International evidence using a dynamic panel data model (System‐GMM)

This paper contributes to the existing literature by investigating the impact of political instability risk on risk‐taking in the banking sector of 75 countries, which is the first attempt for this nexus to the best of our knowledge. The dynamic panel data model (System‐GMM) showed that political instability risk significantly increases risk‐taking in the banking sector. Besides, corruption levels and government ineffectiveness are the most important channels of political instability that affect the banking sector risk. The results also actively support the “too big to fail” hypothesis. Finally, the robustness results confirm the conclusions derived from the baseline System‐GMM model.     

The Foundations of Rapid Economic Growth

A bstract The fast pace of economic growth of the East Asian nations known as the " Four Tigers "– South Korea, Taiwan, Hong Kong, and Singapore –has become a legend It is usually claimed that the export-oriented industrialization (EOI) strategy was the basic cause of that rapid growth However, it is contended that the growth strategy of these countries was the result of certain unique historical and geo-political factors The colonial government had created the necessary infrastructure and international linkages which set the stage for initiating the EOI strategy Furthermore, because of the political support accorded to them from foreign governments, these countries, with the exception of Hong Kong, excluded major oppositional groups from sharing political power, and thus they were able to pursue effectively growth and export-oriented policies South Korea and Taiwan also received a large amount of foreign aid from the U S This aid, and the fact the U S laid open its huge market for cheaper Asian exports without insisting on reciprocity , prepared the conditions for export-led growth in those countries     

A PANEL DATA APPROACH FOR PROGRAM EVALUATION: MEASURING THE BENEFITS OF POLITICAL AND ECONOMIC INTEGRATION OF HONG KONG WITH MAINLAND CHINA

We propose a simple‐to‐implement panel data method to evaluate the impacts of social policy. The basic idea is to exploit the dependence among cross‐sectional units to construct the counterfactuals. The cross‐sectional correlations are attributed to the presence of some (unobserved) common factors. However, instead of trying to estimate the unobserved factors, we propose to use observed data. We use a panel of 24 countries to evaluate the impact of political and economic integration of Hong Kong with mainland China. We find that the political integration hardly had any impact on the growth of the Hong Kong economy. However, the economic integration has raised Hong Kong's annual real GDP by about 4%. Copyright © 2011 John Wiley & Sons, Ltd.     

The heterogeneous behaviour of the inflation hedging property of cocoa

In this paper, we examine distinctly the inflation hedging potential of cocoa in net cocoa-exporting and net cocoa-importing countries. The choice of cocoa is motivated by its significance as a key ingredient in the production of chocolate which is largely consumed at every household and therefore serves as a major source of revenue to cocoa investors in exporting and importing countries. Based on our preliminary analyses including panel causality tests, we formulate both panel threshold regression model and panel smooth transition regression model in order to account for any inherent nonlinearity, time-variation and structural breaks in the inflation-cocoa returns nexus. We find that cocoa offers better inflation hedging characteristics in cocoa importing countries than their cocoa exporting counterparts. While the results are robust to alternative frequency and market size, we are able to establish that ignoring the presence of threshold effects may lead to wrong conclusions.