Sustainable finance and investment: Review and research agenda

Sustainable finance and investment (SFI) is key to fostering sustainable global development. Research in this field has focused on specific topics, such as the financial performance of sustainable investments and companies committed to sustainability. The SFI literature is excessively fragmented, rendering it difficult to identify what constitutes the field and what differentiates it from traditional finance and investment. Based on a systematic literature review of 166 articles, we map and integrate the main elements of the SFI field and identify the most relevant avenues for further research. In this process, we provide a definition of SFI; identify the main players in the field; and describe their profiles, strategies, and outcomes. We also propose a framework for understanding the SFI field and a research agenda. This agenda organizes the main SFI research questions and suggests suitable approaches to address them. We conclude that SFI players have worked together to promote positive social and environmental impacts through their financial and investment activities. However, the under-theorization of the SFI concept, the traditional short-term nature of financial logic, and the lack of evidence on the SFI impacts on society and the environment are the greatest challenges facing the field.     

Public awareness promoting new or emerging risks: Industrial accidents triggered by natural hazards (NaTech)

Dramatic natural events recently stroke several countries worldwide. The impact of the natural events on industrial sites often resulted in large releases of hazardous materials, causing severe technological accidents (Natural-Technological or NaTech events). Industrial operators were often found unprepared or off-guard for unannounced events but also when they had received early warnings. Due to these occurrences, public awareness has raised and the issue of NaTech is now considered as an emerging risk. Due to the climate change and increase in the frequency of some categories of natural disasters, the likelihood of NaTech scenarios is growing, thus NaTech may be also considered as a new risk in some areas of the world. In the present study, the process that ended in the awareness of the scientific community and of the general public toward NaTech has been analyzed. Available tools and knowledge gaps in the assessment of NaTech scenarios are evidenced. The analysis is mainly addressed to the potential impact of flood, lightning, and earthquake events on industrial installations where hazardous substances are present, aiming at the identification of strategies to improve the resilience of industrial facilities to technological accidents caused or intensified by natural hazards.     

The cities/services-nexus: determinants of the location dynamics of advanced producer services firms in global cities

This paper presents an analysis of the determinants of the location dynamics of advanced producer services firms in global cities. By gauging the importance of the presence of leading firms for the years 2000 and 2004, a measurement of the aggregate location change is produced. This measure is used to search for determinants of the observed location change, both in general and in sectoral terms (management consultancy and banking). We also investigate how the presence of firms from the same and from other sectors influences the dynamics of a firms' location strategy.     

Is Input Mix Inefficiency Neglected in Agriculture? A Case Study of Pig‐based Farming Systems in England and Wales

The principal concern of this article is the relative importance of input mix as a source of inefficiency. Emphasis in efficiency analysis studies in agricultural production has historically focused on technical inefficiency as a single concept until methodological advances enabled it to be decomposed into pure technical inefficiency and scale inefficiency. But, this advance was insufficient to identify what we consider to be the major source of inefficiency in agricultural production, namely mix inefficiency. We consider that farm enterprises may be particularly susceptible to input mix inefficiency because of restrictions on movement around the frontier isoquant; delays in the adoption of improved technologies embodied in new vintages of production processes; risk as a source of friction in input allocation decisions; and the potential for inconsistency in simultaneously attempting to reach points of allocative efficiency and mix efficiency in input use. We use non‐parametric methods to calculate a Hicks–Moorsteen productivity index using panel data for a sample of specialised pig producers in England and Wales. This index is then decomposed into measures of technology, technical efficiency, scale efficiency and mix efficiency for an input orientation. Results of the analysis show that the estimated mean mix inefficiency (0.736) was substantially larger than mean technical inefficiency (0.975) and mean scale inefficiency (0.957) over the study period.     

Knowledge-flows and firm performance

This study advances the understanding of how knowledge-flows impact on firm performance. Incorporating recent research on the knowledge-based view of the firm, this paper tests and extends the knowledge flow model by using more fine-grained measures and by proposing a nonlinear effect. This study tests the predicted effects in a longitudinal research design with data on a global sample of public biopharmaceutical firms. The results largely support the expectation that knowledge-flows largely have a nonlinear impact on firm performance. However, one traditional measure of knowledge-flows, geographical location, turns out to have no significant influence in the extended model. The paper explains the implications of these findings for practice and research.     

Migration and Regional Trade Agreements: A (New) Gravity Estimation

This paper investigates the role of regional trade agreements (RTAs) on bilateral international migration. Building on a gravity model for migration, our econometric strategy controls for the multilateral resistance to migration and solves the zero migration flows problem by using a censored quantile regression approach. Further, the endogeneity problem of RTAs in migration settlement is addressed by using instrumental variable censored quantile regression. Our results suggest that the presence of a RTA stimulates the migration stocks among member countries. The pro‐migration effect of RTAs is magnified if the agreement includes also provisions easing bureaucratic procedures for visa and asylum among member countries. Finally, we find an asymmetric effect of RTAs across the quantiles of the distribution of migration settlements.     

Hub competition and travel times in the world-wide airport network

The aim of this work is to measure the competition between airport hubs based on an analysis of travel times in the world-wide airport network. By considering the minimum travel time required to connect each pair of airports, it is possible to create new measures of hub competition, separating the effects of hub position and temporal coordination. This analysis was carried out at the global level, considering all 232 airports with more than 3 million seats yearly offered in departure flights in 2008, and also in relevant geographic markets. The results show a high level of competition among the most important world airports, but the major airports of Europe have a geographical advantage in relation to world markets over the major American and Asian airports. We also show that airports located in different continents often compete for the same origin–destination markets. Geographical position appears to be the most important variable explaining hub performance. Secondary hubs show a higher degree of specialization towards specific markets.     

Regulation Effects on Company Beta Components*

This paper introduces a general model to analyse the effects of regulation on company risk. In particular, we consider two determinants of systematic risk: the company's overall risk and the correlation between the regulated company's value and the market. Theoretical findings indicate that, as regulation gets stricter, the company's abnormal returns will turn negative whereas the two systematic risk components will increase, and vice versa. We use event analysis elements and a time‐varying beta estimation to verify the regulation impact on risk and returns in the English electricity distribution industry. We find that systematic risk varies significantly during the period considered in our analysis. Furthermore, the analysis points to negative relationships between abnormal returns and both market correlation and overall risk variations.