Accident risk analysis based on motorway exposure: an application of benchmarking technique for human safety

Abstract

Accident risk analysis for human safety and infrastructural improvement are key requirements of the engineering sector. The purpose of this paper is to identify and prioritize problematic segments of roads based upon the risk evaluation concept and to focus on the severity of accidents regarding human life loss and easy manoeuvring. This study includes the concept of considering road segments as decision-making units for application of data envelopment analysis (DEA) technique which has no compulsion of the distribution function and critical assumptions, unlike the multiple regression models. According to the proposed methodology, a section of Motorway (M-2) Lahore-Islamabad has been analyzed. Out of 200 segments under consideration, 99 segments were selected with at least one accident and one injury or fatality. Furthermore, for risk calculation and ranking of road segments, the DEA technique along with the cross-risk matrix method was applied. This optimization technique could not only be helpful in ranking but also technical decision-making and prioritizations for safety improvement, policymaking and budget allocation.     

The knowledge spillover theory of entrepreneurship: the developing country context

International Entrepreneurship and Management Journal - This is among the few studies to test the Knowledge Spillover Theory of Entrepreneurship (KSTE) at the city level in a developing country...     

Impact of domestic financial liberalization on economic growth in Pakistan

This paper attempts to investigate the domestic components of the financial liberalization process in Pakistan and develops an index of domestic financial liberalization capturing the important dimensions of reform process. Employing the multivariate co-integration technique and error-correction mechanism, the results indicate a positive impact of the index on economic growth in the long run, while its short run impact is found to be negative. Empirical findings highlight the importance of further financial deepening and financial intermediation, in a conducive environment, that are essential components to successfully implement reforms for growth stimulation.     

Asymmetric impacts of disaggregated oil price shocks on uncertainties and investor sentiment

This paper aims to examine short- and long-run asymmetries in the impacts of disaggregated oil price shocks on economic policy uncertainty, stock market uncertainty, treasury rates, and investor (bullish and bearish) sentiment in the US. To this end, we use a nonlinear auto-regressive distributed lag cointegration approach, which allows us to capture both positive and negative disaggregated oil shocks. We find that oil demand shocks are the main drivers of both measures of uncertainty, while oil supply shocks affect treasury rates. However, both oil demand shocks and oil supply shocks affect investor sentiment, with certain differences in the effects of positive and negative shocks. The overall effects of both oil demand and supply shocks—whether positive or negative—are stronger in the long-run than in the short-run. Additionally, we apply rolling causality and reveal evidence of a rather homogenous causal flow from disaggregated oil shocks to the variables studied, particularly around global stress periods. Our findings have implications for asset pricing and portfolio risk management and suggest policy formulations that differentiate between disaggregated positive and negative oil price shocks.

     

Can a path to peace promote export growth? Evidence from Pakistan and its trading partners

Quality & Quantity - This study has investigated the connection between peace and performance of Pakistan’s export sector. The interstates conflicts, terrorist activities and war elements...     

A comparative study of the application of systems thinking in achieving organizational effectiveness in Malaysian and Pakistani banks

The present work is a comparative study of the banking industry of Malaysia and Pakistan. The paper aims to measure the impact of individual systems thinking on the overall organizational effectiveness. Skilled individuals are considered as an asset of the organization especially when these individuals exhibit systems thinking capabilities that helps in achieving effectiveness. The sample consisted of 368 respondents belonging to lower and middle tier levels in the banking sector of both countries. The results indicate that Malaysian banking employees are ahead of their counterparts in Pakistan while applying systems thinking. The study is significant in enhancing the understanding of the importance of systems thinking for organizational effectiveness. The study has managerial implications for the top management of banks.     

BANKING SECTOR PERFORMANCE,PROFITABILITY, AND EFFICIENCY: A CITATION-BASED SYSTEMATIC LITERATURE REVIEW

This study presents a citation-based systematic literature review on banking sector performance, particularly in terms of profitability, productivity, and efficiency. Specifically, the study aims to identify the leading sources of knowledge in terms of the most influential journals, authors, and papers. The paper presents a content analysis of the 100 most cited papers. In total, 1996 peer-review papers were found relevant in the Scopus database by using a comprehensive list of keywords. The results show that the Journal of Banking & Finance appears to be the leading journal in terms of publication count and citations. Based on total citations, Allen Berger is the most prolific author. The most cited paper is “Problem loans and cost efficiency in commercial banks” by Allan Berger and Robert DeYoung. The content analysis of the top 100 papers identifies five essential themes: determinants of efficiency, methodology, ownership, financial crises, and scale economies. In terms of estimation approaches, 74% of papers employed frontier analysis, which includes 34% parametric and 40% nonparametric methods, and remaining 26% have used financial ratio analysis. Additionally, stochastic frontier and data envelopment analysis are widely used in parametric and nonparametric methods, respectively. An intermediate approach is extensively adopted for the specification of inputs and outputs.     

Current Accounts in the Long Run and the Intertemporal Approach: A Panel Data Investigation

This paper is a theory‐based study of the long‐run determinants of the current account (CA). For many OECD economies after the Second World War, there has been more long‐run variation in the CA data than is emphasised by a ‘Permanent Income’ version of the intertemporal approach that is based on consumption‐smoothing and that allows only transitory CA imbalances. A theoretical model of the CA is developed, based on the ‘broader’ variant of the intertemporal approach that stresses the long‐term component of the CA. We find that some key theoretical predictions hold, while others fail, validating the approach but also pointing to its limitations.