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Strategic decision importance has rarely been investigated as a decision-specific characteristic in the strategic decision-making process (SDMP) literature taking into consideration information management while taking important strategic decisions. Here, the ability of decision importance to predict decision effectiveness as an outcome of SDMPs in higher education institutions (HEIs) is examined in the context of Bahrain.

A conceptual model is developed relating decision importance to decision effectiveness indirectly via the SDMP characteristics intuition, rationality and decentralization. Data from a cross-sectional questionnaire completed by leaders of HEIs and academics involved in strategic decision-making in Bahrain are used to test the model and hypotheses via correlation analysis. The paper also considers a literature review of the use of information management while taking a strategic decision.

Decision importance is shown to positively influence decision effectiveness in Bahraini HEIs mediated by rationality and by decentralization in decision-making, although negative effects of decentralization are also demonstrated. However, decision importance does not influence decision effectiveness mediated by intuition.

Due to the small sample size, the results cannot be generalized to contexts beyond HEIs in Bahrain. Additional SDMP characteristics of significance in the context of HEIs could be future investigated, for instance, political behaviour and lateral communication, are not included in the model. Future research exploring the latter two aspects could provide deeper insight into the findings.

The findings of this paper could be considered by HEIs senior management and members of the governing body while strategic decision-making, which could be at different levels, including strategic planning or assessing a strategic decision in terms of effectiveness. This paper will also provide insight one the use of information while considering strategic decision-making.

A model leading for effective strategic decision-making could be used by leaders of HEIs and regulators including licensing bodies and QA agencies to set standards for HEIs for sustainable performance and quality education in line with United Nations Sustainable Development Goals and Initiative. Strategic decision-making will have an impact on the overall performance of HEIs and serve all relevant stakeholder’s including parents, students, employers and industry.

Little research conducted in relation to strategic decision-making in the Gulf Cooperation Council therefore, this research will add original findings and the outcome of this study will lead to future research related to SDMP and the use of information management in the overall strategic decision-making.

Several farm safety net strategies are available to farmers as a source of financial protection against losses due to price instability, government policies, weather fluctuations and global market changes. Producers can employ these strategies combining crop insurance policies with countercyclical policies for several crops and production areas; however, less is known about the efficiency of these strategies in enhancing profit and reducing its variability. In this study, we examine the efficiency of these strategies at minimizing inter crop year farm profit variability.

We utilized relative mean of profit and coefficient of variation, to compare counterfactually calculated farm safety net strategies for a sample of 28,615 observations across 2,486 farms and four dryland crops (corn, soybean, sorghum and wheat) in Kansas spanning nine crop years (2014–2022). A no farm safety net strategy is used as the benchmark for every alternative strategy to ascertain whether a policy customization is statistically different from a no farm safety case.

The general pattern of the results suggests that program combination strategies that have a high-profit enhancement potential necessarily have low profit risk for dryland wheat and sorghum production. On the contrary, such a connection is absent for dryland corn and soybeans production. Low-cost farm safety net strategies that enhance corn and soybeans profits do not necessarily lower profit risks.

This paper is one of the first to use a large sample of actual farm-level observations to evaluate how combinations of safety net programs offered under the Title I (PLC, ARCCO and ARCIC) and XI (FCIP) of the U.S. Farm Bill rank in terms of profit level enhancement and profit risk reduction.

The burgeoning literature on climate-related finance suggests that climate change influences financial markets. Building on this foundation, the present study aims to investigate the time-varying predictive power of news related to physical and transition climate risks for financial instability across the financial systems of the US, EU, and the ASEAN+3 countries (comprising the Association of Southeast Asian Nations plus China, Japan, and South Korea), from January 2003 to August 2022, on a monthly basis.

In this study, we use the VAR-based Granger-causality test in the presence of instabilities introduced by Rossi and Wang (2019), and combine it with the innovative rolling and recursive bootstrap time-varying Granger-causality approach of Shi et al. (2020). These methods were chosen for their capacity to effectively capture the dynamic influence of climate risk-related news on financial instability over time, offering an advantage over traditional constant parameter regressions and standard Granger causality methods. Additionally, we make use of the Media Climate Change Concerns indices recently developed by Ardia et al. (2022), coupled with regional financial stress indices.

Our findings indicate that the predictive power of climate change news for financial instability is substantial but varies over time. This influence becomes especially pronounced during periods that align with specific local and global events. In the US and EU, the predictive power is influenced by a combination of global and local macroeconomic, political, health, and climate-related factors. In contrast, ASEAN+3 financial systems show a stronger response to regional and local events, with comparatively less sensitivity to global events.

The results of this study are noteworthy for investors, highlighting increased market instability during periods with prevalent climate change news. Investors can adjust their strategies to mitigate risks and respond to macro-events that trigger climate news-related market instability, while considering regional sensitivities. Similarly, these findings are significant for policymakers, emphasizing the need to consider the influence of climate news on financial markets when designing regulatory frameworks. This could involve enacting measures to stabilize the financial system during periods of significant climate news. Policymakers might consider developing macroprudential regulations to bolster financial institutions’ resilience against climate change news effects.

This study pioneers the exploration of how climate change news affects financial system stability at the macro level. It extends beyond traditional research, typically focusing on direct effects of climate change in banking and asset markets, by examining broader implications of climate risk-related news for financial system instability. Furthermore, this study enhances our understanding of the predictors of global financial stability by examining the financial systems of the US, the EU, and ASEAN+3. It specifically investigates the impact of climate change news, a topic not extensively explored in previous research focusing mainly on macro-factors such as financial liberalization and business cycles.

Given the systemic nature of climate change, there are many interdependencies between its primary components and feedback loops, emphasising the need to simultaneously consider the stock market implications of physical and transitional climate-related risks. More importantly, carbon emissions are expected to be reduced through various transition pathways. However, transitional climate risks have been validated as capable of predicting stock market behaviour, hence the motivation for the role of technology shocks.

We use a GARCH-MIDAS model to examine the relationship between climate change and stock return volatility since it enables data analysis at various frequencies within the same framework. We employ a novel dataset to track technology shocks, and the study spans decades of data from 1880 to 2018.

We find that the relationship between climate change and stock return volatility is episodic and varies with different degrees of intensity of high-temperature anomalies and technology shocks. Our results suggest that policy actions should include investing in climate technologies to reduce greenhouse gas emissions and encouraging investment in eco-friendly assets.

There has been little or no consideration for the probable complementary effects of physical and transition climate-related risks on stock markets. Hence, the novelty in the context of this study is the hypothesis that transitional risks, if explored from the point of view of technological innovations, can moderate the stock market’s vulnerability to physical climate risks.

The American National Red Cross is in many ways the iconic symbol for disaster response and recovery. The organization, founded in 1881, has a long track record for coming to the aid of those in need in the wake of wars, natural disasters, and other crises. However, in the wake of recent disasters, the Red Cross has been criticized for underperforming. By combining the literature on bureaucracy in Austrian economics and the literature on monocentricity in the work of Vincent Ostrom and Elinor Ostrom, we provide an analysis of the Red Cross that helps explain the organization’s evolution over time and that also yields implications for disaster management more broadly. Specifically, the Red Cross is a bureaucracy that has become increasingly centralized and rigid as it has become further enmeshed with governmental responsibilities.

Will Florida’s agriculture adapt to climate change? Climate disruptions to agriculture and natural resources in Florida are projected to increase in the future. These impacts will be increasingly negative because critical thresholds are being exceeded. This chapter discusses how Florida’s agriculture and natural resources may be affected by climate change in the coming decades.

Agriculture will be affected by invasive alien species, sea-level-rise flooding, and storm surges. A warmer, drier climate will place agriculture in competition with other users for limited water resources. A serious concern for agriculture is that rising sea level will cause coastal groundwater to become more saline and groundwater levels to rise. The loss of coastal wetlands increases the risk of catastrophic damage due to extreme weather events. Degradation of soil and water assets due to increasing extremes in precipitation will challenge both rainfed and irrigated agriculture without the implementation of innovative conservation methods. High night-time temperatures can reduce grain yields and animal-sourced production. Climate change also increases the vulnerability of forests to ecosystem changes due to decreased soil moisture and increased evapotranspiration. The practical implications are that increased innovation will be needed to ensure the adaptation of agriculture and the associated socioeconomic system can keep pace with climate change. Given the difficulties in predicting our future climate, we must develop new risk-transfer innovations that will facilitate damage recovery. Changes in agricultural yields and food prices could have important implications for food security.

Austrian insights on the limits of central planning, the pervasiveness of knowledge problems, and the importance of the entrepreneur in coordinating social change have yielded substantive contributions to the literature on how individuals and communities respond to both natural and unnatural, or manmade, disasters. Austrian economists have examined the political economy of natural disasters, disaster relief and recovery efforts, the economic effects of extended wars, post-conflict societal reconstitution, and the effectiveness of humanitarian aid. This literature advances two main findings: (1) that centralized governments are likely to be ineffective at providing the goods and services that are necessary for community recovery and (2) that decentralized efforts are better suited to address the needs of society, to discover the best course of action for producing and distributing these goods and services, and to adapt to changing needs, circumstances, and technology. This paper examines the Austrian theories utilized to examine disasters, provides a summary of the recent research on both natural and unnatural disasters, and proposes areas for future research.

It is a well-known fact that economic development and rise in the volume of trade due to globalization have led to more production which has further led to the increase in the emission of carbon dioxide in the environment. Under the backdrop, the aim of this chapter is to examine the relationships among per capita CO₂ emissions as the proxy for exploitation of the environment with international trade and per capita GDP in India. It analyzed cointegration and short-run causal relationships between the variables based on a time series data set for the period of 1979–2018. The data found to be stationary at first integration; hence the researchers ran cointegration. The study found that the carbon emissions are an outcome of economic growth and more and more trade with the foreign countries.

The research aims to identify the importance of the Republic of Türkiye in the global textile market. The research methodology is based on basic methods of scientific cognition, such as analysis, synthesis, deduction, and induction. From the particular methods used, it is worth highlighting the applicable comparison method. During the research, the authors carried out a content analysis, mainly of scientific works by Turkish scientists and news from the Turkish media. The research object is the global textile industry market. Nowadays, Türkiye faces damaged industrial buildings and an acute labor shortage. The country will need to spend a lot of time and efforts to restore its former production capacity in economically important regions, which will affect the country's export potential. COVID-19 has greatly affected the state of various sectors of the economy; the global textile market is no exception. Unlike other sectors of the economy, the global textile market recovered quickly; by 2021, it had regained its production capacity. In turn, Türkiye was even able to exceed its exports and increase its role in the world market. The country did not have time to reach new heights: on February 6, 2023, several powerful earthquakes occurred in economically important provinces of Türkiye. Most of them are provinces of the expensive the Southeastern Anatolia Project (GAP) project, where 60% of the cotton of all Türkiye is produced, and the population mainly works in the textile industry.

Climate change is a massive multidimensional shift. Temperature shifts, in particular, have important implications for urbanization, agriculture, health, productivity, and poverty, among other things. While much research has documented rising mean temperature levels, the authors also examine range-based measures of daily temperature volatility. Specifically, using data for select US cities over the past half-century, the authors compare the evolving time series dynamics of the average daily temperature (AVG) and the diurnal temperature range (DTR; the difference between the daily maximum and minimum temperatures). The authors characterize trend and seasonality in these two series using linear models with time-varying coefficients. These straightforward yet flexible approximations provide evidence of evolving DTR seasonality and stable AVG seasonality.