Opportunities to reduce road traffic injury: new insights from the study of urban areas

Abstract

Over the past four decades considerable efforts have been taken to mitigate the growing burden of road injury. With increasing urbanisation along with global mobility that demands not only safe but equitable, efficient and clean (reduced carbon footprint) transport, the responses to dealing with the burgeoning road traffic injury in low- and middle-income countries has become increasingly complex. In this paper, we apply unique methods to identify important strategies that could be implemented to reduce road traffic injury in the Asia-Pacific region; a region comprising large middle-income countries (China and India) that are currently in the throes of rapid motorisation. Using a convolutional neural network approach, we clustered countries containing a total of 1632 cities from around the world into groups based on urban characteristics related to road and public transport infrastructure. We then analysed 20 countries (containing 689 cities) from the Asia-Pacific region and assessed the global burden of disease attributed to road traffic injury and these various urban characteristics. This study demonstrates the utility of employing image recognition methods to discover new insights that afford urban and transport planning opportunities to mitigate road traffic injury at a regional and global scale.     

Connecting strategic orientation,innovation strategy,and corporate sustainability: A model for sustainable development through stakeholder engagement

This paper aims to enhance our understanding of the relationship between organizations' strategic orientation (i.e., instrumental, equidistant, and stewardship) and their innovational strategy (i.e., organizational ambidexterity and open innovation), and this relationship's influence on their sustainability performance. We expected organizations' strategic orientation to influence their innovational strategy and exhibit better corporate sustainability. We focused on 12 different multinational organizations in the Eurozone and found that inbound open innovation acts as a driver for corporate sustainability while simultaneously positively enabling organizations to pursue both financial and social initiatives. After suggesting open innovation as a new corporate sustainability antecedent, we only found empirical evidence of inbound open innovation. However, we would suggest that if organizations incorporated outbound open innovation in their strategy, they could likely improve their corporate sustainability. Also, we found that achieving an equidistant or stewardship orientation paves the way for sustainability to become an integral part of an organization's innovational culture and actualizes the organization's strategic behavior. Our findings further contribute to a deeper understanding of organizations' characteristics as their sustainability commitment grows and as they move from an instrumental to a stewardship orientation and implement an open innovational strategy.     

Does foreign investment benefit the exporting activities of Vietnamese firms?

Using firm-level data, this paper examines the effects of foreign investment on the exporting behaviour of domestic firms in the Vietnamese manufacturing and service sectors. Applying the Heckman selection model on panel data and following the Wooldridge approach, we find that investment by foreign firms has a significant positive effect on the decision of domestic firms in the same and upstream sectors to export. The proportion of exports of domestic firms declines through horizontal and forward linkages, but increases through backward linkages in the manufacturing sector. However, there is only weak evidence in support of export spillovers on domestic firms in the service sector. We also find that the presence of foreign firms has differing effects on the exporting activities of low- versus high-tech firms in the manufacturing sector.     

Oil shocks and volatility jumps

Review of Quantitative Finance and Accounting - In this paper, we analyse the role of oil price shocks, derived from expectations of consumers, economists, financial market, and policymakers, in...     

Do data policy restrictions impact the productivity performance of firms and industries?

This paper examines how policies regulating the cross‐border movement and domestic use of electronic data on the internet impact the productivity of firms in sectors relying on electronic data. In doing so, we collect regulatory information on a group of developed economies and create an index that measures the regulatory restrictiveness of each country's data policies. The index is based on observable policy measures that explicitly inhibit the cross‐border movement and domestic use of data. Using cross‐country firm‐level and industry‐level data, we analyse econometrically the extent to which these data regulations over time impact the productivity performance of downstream firms and industries, respectively. We show that stricter data policies have a negative and significant impact on the performance of downstream firms in sectors reliant on electronic data. This adverse effect is stronger for countries with strong technology networks, for servicified firms, and holds for several robustness checks.     

Financial globalisation and the labour share in developing countries: The type of capital matters

In this paper, we investigate how de facto financial globalisation has influenced the labour share in developing countries. Our main argument is the need to distinguish between different types of capital in this context as they differ in their effect on the host countries' production process and vary concerning their bargaining power vis-à-vis labour. Our econometric analysis of the impact of foreign direct versus portfolio investment in a sample of about 40 developing and transition countries after 1992 supports this claim. Using different panel data techniques to address potential endogeneity problems, we find that foreign direct investment has a positive effect on the labour share in developing countries, while the impact of portfolio investment is significantly smaller and potentially negative. Our results also highlight that de facto foreign investment cannot explain the decline of the labour share in developing countries over the investigated period.     

Innovative ethics officers as drivers of effective ethics programs: An empirical study in the Netherlands

Ethical misconduct and violations seriously harm individuals and organizations and lead to massive fines or the dismissal of employees and CEOs. Many firms have implemented ethics programs to prevent unethical behavior but these are often ineffective and take a traditional approach. Ethics officers are often responsible for running and developing ethics programs, in collaboration with other departments. They can, therefore, play a key role in improving ethics program effectiveness. We postulate that ethics officers need to adopt a more innovative approach in order to achieve ethical behavior among employees and managers, and that such an innovative approach requires certain personality traits. This study investigates how ethics officers’ personality traits and innovative work behaviors relate to the effectiveness of ethics programs and normative ethical behavior through an online questionnaire conducted among 110 ethics officers in large Dutch organizations. Structural equations modeling showed that innovative work behavior mediated the relationship between ethics officers’ openness to experience and ethics program effectiveness which, in turn, is related to more normative ethical behavior. Future research must examine the (partial) mediation effects, including other characteristics of ethics officers in relation to ethics program effectiveness and ethical behaviors at work, and replicate the study multi‐nationally.     

Comparative randomized inverse sampling

According to previous literature, we define randomized inverse sampling for comparing two treatments with respect to a binary response as the sampling that stops when a total fixed number of successes, irrespective of the treatments, are observed. We have obtained elsewhere the asymptotic distributions for the counting variables involved and have shown them to be equivalent to the corresponding asymptotic distributions for multinomial sampling. In this paper, we start deriving the same basic results using different techniques, and we then show how they give rise to genuinely novel procedures when translated into finite sample approximations. As the main example, a novel confidence interval for the logarithm of the odds ratio of two success probabilities can be constructed in the case of comparative randomized inverse sampling. Some advantages over the standard multinomial sampling in terms of coverage probabilities are visible when no adjustment for cells with zero counts is applied; otherwise, the two sampling schemes appear to be fairly equivalent. This is a reassurance that under certain circumstances, inverse sampling can be safely chosen over more traditional sampling schemes.