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This paper aims to clarify the relationship between climate change, its negative impacts on human health and its role in catalysing public engagement for climate policies. It aims to increase public support for climate-mitigation strategies by showing the medical case for negative climate-induced health impacts, the economic burden it entails and the public response to climate change that may be expected when health frames are used.

The paper reviews medical, economic and behavioural studies focusing on climate-induced health impacts, its economic costs and its potential for catalysing public engagement for climate policy.

The paper provides empirical insights about the various direct and indirect effects of climate change on human health which includes both physical impacts (infectious and non-infectious diseases) and non-physical impacts (mental disorders and reduced labour productivity). Extreme events such as storms, floods and droughts further seriously affect the health of many people, as they restrict food production and water supply. Economic damage costs of climate-induced health impacts are underestimated. Together, natural science, medical and economic studies warrant giving more attention to health in public debates on climate change. The more so as evidence of behavioural studies suggests that the use of health frames reinforces public concern for climate issues.

This paper argues that climate-induced health impacts and their economic costs should be given more serious attention in discussions about climate-mitigation strategies. They can augment public support for climate policy.

Fiscal policy is one of the weighty instruments of state regulation and is intended to ensure the creation of an institutional environment to reach the strategic objectives of sustainable development. This chapter is devoted to the study of the implementation of tax reform in Belarus. It analyzes the place of tax instruments in economic growth and investigates the strategic direction of tax reforms. The actual tax policy in Belarus is determined by the requirements of the national strategy of sustainable development which aims to ensure a stable financial basis for the development of society, economy, and environmental management. The historical and economic conditions of Belarus require an assessment of the local peculiarities of the use of tax instruments, which are now in force in leading countries. Therefore the study of foreign experience is complemented by an analysis of local conditions. Tax policy must ensure and support changes in national economies related to globalization, informatization and digitalization of the modern world, while maintaining the ideas of social justice. As a theoretical and practical tool for improving the quality of the tax system through the modernization of the incentives system, the concept of tax expenditures as a part of the budget process was investigated.

The purpose of this study is use a bibliometric analysis to explore the relational nature of knowledge creation in WFM in operations. Companies live under constant pressure to find the best ways to plan their workforce, and the workforce emangement (WFM) is one of the biggest challenges faced by managers. Relevant research on WFM in operations has been published in a several range of journals that vary in their scope and readership, and thus the academic contribution to the topic remains largely fragmented.

To address this gap, this review aims to map research on WFM in operations to understand where it comes from and where it is going and, therefore, provides opportunities for future work. This study combined two bibliometric approaches with manual document coding to examine the literature corpus of WFM in operations to draw a holistic picture of its different aspects.

Content and thematic analysis of the seminal studies resulted in the extraction of three key research themes: workforce cross-training, planning workforce mixed methods and individual workforce characteristics. The findings of this study further highlight the gaps in the WFM in operations literature and raise some research questions that warrant further academic investigation in the future.

Likewise, this study has important implications for practitioners who are likely to benefit from a holistic understanding of the different aspects of WFM in operations.

This study explores the effects of different types of technology lock-in on enterprise innovation performance. On this basis, the authors aim to provide technological innovation suggestions for the long-term development of Chinese enterprises.

A total of 211 high-tech enterprises in China were taken as the research sample. Data were collected through questionnaire surveys and secondhand data. Linear and nonlinear regression models were used to test the hypotheses.

Different types of technology lock-in had different effects on enterprise innovation performance. Initiative lock-in and passive lock-in showed an inverted U-shaped relationship with innovation performance. Economies of scale were positively correlated with innovation performance, while self-lock-in was negatively correlated with it.

This research can help enterprises reconceptualize technology lock-in. It can also help enterprises in different stages of development carry out targeted technological innovation and management strategies.

This research enriches our understanding of technology lock-in. By breaking with previous conceptualizations of a simple linear relationship between technology lock-in and innovation performance, this study proposes and confirms different technology lock-in has different relationships with enterprise innovation performance. This study is important for enterprises to reassess their technology lock-in state and carry out targeted technological innovation strategies. This research enriches the theory of path dependence and its combination with other theories. And this study also reveals the current research on technology lock-in is insufficient.

The life cycle assessment (LCA) guide of Heijungs et al. has been renewed to the latest methodological developments, aiming to make the ISO 14040 series on life cycle assessment operational. For this, a closer look was taken at intended applications in relation to required and practicable modelling options. Applications determine the required theoretical model, but the theoretical model required often comes into conflict with the available practical models and the needed operationality for decision support. To ease the tension between these requirements, simplifications need to be made in a guide on LCA. Two levels of sophistication have been worked out in the new guide documents: a detailed LCA with some options for extensions, and a simplified version.

This study aims to analyze reform path for waste management policy implementation. With reference to the Bayesian theory, this study provides a dynamic policy conversion method through various context settings. Furthermore, this study attempts to present an empirical research paradigm.

Matland’s “ambiguity-conflict model” is applied to explain the problems and reform paths of China’s waste management policy implementation. Integrating structure discovery and bibliometrics into qualitative analysis, this study used search data from literature search engine with specific themes to achieve structure learning of Bayesian network with key factors refined in waste management policy.

The results show that China’s waste management policy implementation belongs to symbolic implementation with high ambiguity and high conflict. Four basic conversion paths for the waste management policy are proposed, which are classified by length and stability. Then, it is possible to locate the factors, paths and types of policy implementation through involvement analysis with features of each path and each district of policy implementation. Public education holds direct but unstable impact on waste management. Economic incentives hold continuous but gradually diminishing impact. Perceived policy effectiveness plays the crucial role like a central bridge. Resident conditions have a positive impact, which could be enhanced through economic development of China. The impact of subjective norm on waste management is not significant. But subjective norm has the potential breakthrough for solving stagnation of waste classification policy. However, the impacts from each factor may change along with economy growth and technology innovation.

This study uses the “ambiguity-conflict model” to position China’s waste classification policy and suggests that structure discovery methods help understand feasible reform paths for reform policy. The integration of theoretical analysis and quantitative simulation can achieve a comprehensive analysis of problems and solutions in waste management policy implementation of China. Promotion and education, economic incentives, perceived value, behavior control, subjective norm, perceived policy effectiveness, informal waste recycling system and residential conditions are explored as key factors for waste classification policy implementation as a representative in waste management policy. The role of each key factor and features of each conversion paths are integrated to position reform paths in the ambiguity-conflict model. This work helps to explain the stagnation of waste management policy implementation from the perspective of dynamic structure evolution, and some specific suggestions to get out of stagnation are proposed.

The purpose of this research study is to determine whether flood-damaged residences located in the USA are remaining unrepaired because of the lack of flood insurance coverage. Unrepaired flooded dwellings are subsequently being foreclosed with mortgage-insurance claims being paid to lenders. This paper aims to examine if weather events that cause flooding impact the losses suffered by mortgage insurers and homeowners.

Two fully modified least squares regression models are done using losses experienced by two mortgage insurance companies. The AM Best insurance rating information for a 16-year period or years 2002–2017 is used to study whether the loss ratios experienced by two companies underwriting private mortgage insurance (PMI) are statistically correlated to National Flood Insurance Program (NFIP) claim levels. The assumption is that higher flood insurance claims are a proxy for more severe weather events during a particular year which results in flooding that damage residences.

The NFIP claims coefficient is positive and significant for both companies being examined. This indicates that the more serious the flooding event during a specific year, the higher the losses experienced by the private mortgage insurer. The R² results for the regression models were 0.673–0.695. The income variable has a negative coefficient which was significant. It indicates that falling income lead to rising mortgage insurer losses. The NFIP variable was significant with a positive coefficient.

The mortgage insurance industry is dominated by several companies at any point in time. During the 16-year study period, some companies have become insolvent, merged with other companies or recently started underwriting mortgage insurance. One company was diversified writing multiple lines of property insurance. There were only two insurers with complete financial information for the specified study period.

There are currently five mortgage insurers operating in the USA. A serious flood event could cause the insolvency of some of these companies. This would reduce the competition existing in the default insurance market. The financial markets for real estate loans price mortgages based on the availability and the ability to secure mortgage insurance for high loan-to-value properties. There is federal mortgage insurance available for certain types of residential loans.

There are a limited number of insurers writing flood insurance. These companies can pick or reject dwellings and/or commercial properties to underwrite for insurance. The goal of phasing out insurance through the NFIP may prove impossible to achieve. A flood event without insurance would cause serious financial consequences to property owners, loan delinquencies and could depress the local economy for years. Competition from private mortgage insurers may intensify the adverse selection already being experienced by the NFIP. Private insurers would select the lower risk flood applications leaving the more risky insurance to be covered by the NFIP.

Prior research focused on financial variables impacting PMI and weather factors affecting flood insurance claims. Financial ratios published in the AM Best rating guide for the USA and Canada were used to examine whether or not PMI losses are indirectly affected by flooding events as measured by NFIP variable. Comparing two separate lines of insurance and their impact on each other has not been studied by prior researchers.

In this paper, a real option model is developed to examine the critical factors affecting the decision to lease agricultural land to a company installing a PV power plant. Subsidies introduced by governments for the production of renewable energies have increased the investments in this sector. Since ground-based solar cells need land for energy production, then potential trade-off with agriculture in terms of land exists. The paper aims to discuss these issues.

The paper uses the real option approach in order to take into account for uncertainty and irreversibility of the farmer's decision.

By applying the model to the province of Bologna (Italy), the paper illustrates the possible land-use change scenarios in this area. The paper concludes by discussing the importance of PV energy production as a source of income for farmers and its implications from a social perspective.

The research is applied to the province of Bologna (Italy) where investments in ground-based solar cells are becoming quite common. The originality lies in the fact of considering the investment as irreversible, since it is a 20-year commitment from the farmers. The paper also takes into account the uncertainty in agricultural commodities' prices.