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This paper explores the operationalization of production network coordination – the production transfer (PT) – and the relationships between transfer risk sources, preventive actions, supply chain disruptions, corrective actions and losses to better understand how to mitigate the risk and achieve an effective transfer process.

A longitudinal field study of a PT process from Norway to Spain was studied in depth for 25 months.

The paper presents the implications of three areas of importance for PT success: (1) how the transfer influences the plant roles, (2) the cross-locational management of the transfer project at the sender and receiver and (3) whether adapting the transferred production to the receiver's environment is an enabler or an inhibitor of transfer success.

The findings about how to mitigate the transfer risk and the frameworks of risk sources, supply chain disruptions, losses and preventive and corrective actions, along with the examples from the in-depth study, can aid the practitioners in managing PTs and achieving the relocation goals.

This is one of the first studies of PT, which is from the perspective of both transfer parties, and addresses both preventive and corrective actions and all the transfer phases. Moreover, this study addresses the operational aspects of production network coordination, which received limited attention in earlier research.

Climate-related disasters are the most representative in terms of recurrence and impacts. To reduce them, risk transfer is a key strategy for climate risk management. However, this approach does not consider the socioeconomic vulnerability of each population group, limiting its effectiveness. The objective of this paper is to improve and increase the usefulness of risk transfer through the Differential Risk Transfer (DRT) approach.

A comprehensive and systematic review of the state of the art on Differential Approach (DA) is presented, and its connection with existing models of vulnerability to disasters is analysed. Through epistemic deliberations, an operational definition of Differential Risk Transfer (DRT), as well as its advantages are discussed. Finally, general guidelines are presented for the implementation of the DRT in a specific context.

The results confirm that DA presents a clear relation with the models for the study of disaster vulnerability. The small group discussions agree with the usefulness of DRT for improving climate-related risk management.

This paper argues for the inclusion of the DRT approach in the climate risk management strategies aiming to fill the disaggregated data gaps that limit the potentiality and accuracy of risk transfer schemes worldwide.

This innovative approach improves the accuracy of the risk transfer mechanisms through the recognition of the differences of ethnicity, gender and life cycle that increase socioeconomic vulnerability to climate-related disasters.

The purpose of this paper is to explore that relational capability plays a mediator role in the relationship between focal enterprises' control on knowledge transfer risks in R&D network.

The paper reviews the related literature from which it proposes a theoretical hypothesis and conceptual framework which is tested empirically adopting regression methodology by mathematical statistics software.

The results reveal that focal enterprises' control (core technological capability and network position) have a positive effect on knowledge transfer risks without the mediation of relational capability. Moreover, relational capability mediates the positive relationship between core technological capability and knowledge transfer risks.

The cross-sectional data of this research has difficult in testing causality between the variables, and future research should take account of the potential factors that can impact on knowledge transfer risks.

The results provide more valuable information to managers in alleviating knowledge transfer risks in R&D networks. For one thing, the study indicates how focal firms' control (core technological capability and network position) can be taken advantage of improving R&D efficiency and reducing the knowledge transfer risks. For another, the results emphasize that relational capability plays an important role in interacting with cooperative enterprises in the process of R&D activities.

Few studies present a theoretical discussion on focal firms control as the important determinants of knowledge transfer risks especially in the R&D network. Moreover it expands the related risk management theory by relational capability that mediates the relationship between focal firms control and knowledge transfer risks.

Although issuers may benefit generally from securitization, some asset securitizations transfer more credit risk than others. When a lender uses securitization to replace on‐balance‐sheet financing, that lender transfers to investors some of the risks, and, in the form of credit enhancements, some of the offsetting, i.e., claims‐paying, economic resources (e.g., assets, cashflows), as well. Therefore, securitization only reduces an issuer's net (i.e., residual) exposure to credit losses when a securitization has transferred proportionately more credit risk than claims‐paying assets. The authors discuss the distinction between “gross” versus “net” transfers of credit risk. To illustrate this point, they provide conceptual examples of the net effect of an asset securitization on the residual credit risk retained by an issuer. In these examples, providing credit enhancement (e.g., overcollateralization, subordination) may implicitly lever or delever an issuer's balance sheet. The authors outline the general conditions under which this indirect economic recourse to the issuer, in effect a form of “self‐insurance,” may result in a net dilution of the claims of unsecured creditors.

The purpose of this paper is to show how network analysis can be used for effective cross‐border financial surveillance, which requires the monitoring of direct and indirect systemic linkages.

This paper illustrates how network analysis could make a significant contribution in this regard by simulating different credit and funding shocks to the banking systems of a number of selected countries. After that, the authors show that the inclusion of risk transfers could modify the risk profile of entire financial systems, and thus an enriched simulation algorithm able to account for risk transfers is proposed.

Finally, the authors discuss how some of the limitations of the simulations are a reflection of existing information and data gaps, and thus view these shortcomings as a call to improve the collection and analysis of data on cross‐border financial exposures.

This paper is one of the very few to take a cross‐border perspective on financial networks. It is also unique in accounting for risk transfers and in proposing a methodology to include the analysis (and monitoring) of risk transfers into a network model.

Catastrophe (CAT) events associated with natural catastrophes and man-made disasters cause profound impacts on the insurance industry. This research thus reviews the impact of CAT risk on the insurance industry and how traditional reinsurance and securitized risk-transfer instruments are used for managing CAT risk.

This research reviews the impact of CAT risk on the insurance industry and how traditional reinsurance and securitized risk-transfer instruments are used for managing CAT risk. Apart from many negative influences, CAT events can increase the net revenue of the insurance industry around CAT events and improve insurance demand over the post-CAT periods. The underwriting cycle of reinsurance causes inefficiencies in transferring CAT risks. Securitized risk-transfer instruments resolve some inefficiencies of the reinsurance market, but are subject to moral hazard, basis risk, credit risk, regulatory uncertainty, etc. The authors introduce some popular securitized solutions and use Merton's structural framework to demonstrate how to value these CAT-linked securities. The hybrid solutions by combining reinsurance with securitized CAT instruments are expected to offer promising applications for CAT risk management.

The authors introduce some popular securitized solutions and use Merton's structural framework to demonstrate how to value these CAT-linked securities. The hybrid solutions by combining reinsurance with securitized CAT instruments are expected to offer promising applications for CAT risk management.

This research reviews a broad array of impacts of CAT risks on the (re)insurance industry. CAT events challenge (re)insurance capacity and influence insurers' supply decisions and reconstruction costs in the aftermath of catastrophes. While losses from natural catastrophes are the primary threat to property–casualty insurers, the mortality risk posed by influenza pandemics is a leading CAT risk for life insurers. At the same time, natural catastrophes and man-made disasters cause distinct impacts on (re)insures. Man-made disasters can increase the correlation between insurance stocks and the overall market, and natural catastrophes reduce the above correlation. It should be noted that huge CAT losses can also improve (re)insurance demand during the postevent period and thus bring long-term effects to the (re)insurance industry.

Partnerships are the British government’s preferred method of procuring public sector services, and the policy is usually justified in terms of delivering value for money. Ex ante financial methodologies are prescribed to ensure that decision making is based on a sound appraisal of alternatives and the government has called for an evaluation of implemented projects. This paper seeks to contribute to that evaluative process by exploring ex post facto some of the issues and problems that arose in practice. Using a case study approach, the paper considers two failures of information technology partnerships to examine how risk transfer, which is at the heart of the partnership policy, works in practice. The cases show that the contracts failed to transfer risk in the way that had been expected. The public agencies, not the commercial partner, bore the management risk and costs fell on the public at large and/or other public agencies.

The level at which risk is priced and the magnitude of risks transferred to the private sector will have a significant impact on the cost of the public–private partnership (PPP) deals as well as on the value for money analysis and on the section of the optimum investment options. The price of risk associated with PPP schemes is complex, dynamic and continuous throughout the concession agreement. Risk allocation needs to be re-evaluated to ensure the optimum outcome of the PPP contract.

This paper provides a coherent theoretical framework for dealing with scenarios of potential gain and loss from retaining or transferring risks.

The outcome indicates that using the proposed framework will provide innovative ways of deriving risk prices in PPP projects using several risk determinants strategies.

In costing risks, analysts have to take into consideration the balance between the cost of risk transfer and the cost of losses if risk is retained.

This paper contributes to the PPP literature and practice by proposing a framework which is consistent with a risk allocation approach in PPP projects, where the key proposition is that risk pricing can overload project debt leading to loss of value.

Draws on the results of a survey into alternative risk transfer by Marsh Risk Finance covering major corporations over three years. Covers the needs of the buyers rather than the suppliers. Shows how alternative risk transfer can be of value to the insurance world in particular. Highlights a need for this technique to reach a wider audience as buyer perceptions change.

Large-scale farm management in China has developed rapidly in recent years. Large-scale farmers face substantial operating risks, requiring extensive price risk management. However, the agricultural insurance and futures markets in China are incomplete. This study aims to analyze the price-risk-management behaviors of large-scale farmers under incomplete market conditions, with a focus on the interconnections between large scale farmers' subjective preferences (risk preferences, time preferences), liquidity constraints and their price risk management.

The authors construct an analysis framework to reveal the impact of large-scale farmers' risk preferences, time preferences and liquidity conditions on their price-risk-management behaviors under incomplete market conditions. Using data from field surveys and subjective preference experiments involving 409 large-scale grain farmers in China, an empirical analysis was conducted using the bivariate probit model.

The results show that risk-averse farmers will use risk transfer (such as contract farming) and risk diversification (such as multi-period sales) to avoid price risk. However, farmers subject to liquidity constraints and strong time preferences will not choose risk diversification, and the interaction between time preferences and liquidity constraints will strengthen this decision. The larger the farm-management scale, the greater the impact.

The authors focus on rapidly developed large-scale farm management in China. Appropriate price risk management is required by large-scale farmers due to their substantial operating risks. Considering the incomplete conditions of agricultural insurance and futures markets, the results of this study will help identify behavioral characteristics of large-scale farmers and optimize their price-risk-management strategies, further stabilizing large-scale farm management.