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The choice of crops to produce at a location depends to a large degree on the climate. As the climate changes and food demand evolves, farmers may need to produce a different mix of crops. This study assesses how much cropland may be subject to such upheavals at the global scale, and then focuses on China as a case study to examine how spatial heterogeneity informs different contexts for adaptation within a country.

A global agricultural economic model is linked to a cropland allocation algorithm to generate maps of cropland distribution under historical and future conditions. The mix of crops at each location is examined to determine whether it is likely to experience a major shift.

Two-thirds of rainfed cropland and half of irrigated cropland are likely to experience substantial upheaval of some kind.

This analysis helps establish a global context for the local changes that producers might face under future climate and socioeconomic changes. The scale of the challenge means that the agricultural sector needs to prepare for these widespread and diverse upheavals.

Agricultural workers represent an important part of the population exposed to high heat-related health and productivity risks. This study aims to estimate the heat-related productivity loss (PL) for moderate work activities in sun and shady areas and evaluating the economic cost locally in an Italian farm and generally in the whole province of Florence. Benefits deriving by working in the shade or work-time shifting were provided. Comparisons between PL estimated in Mediterranean (Florence, Italy) and subtropical (Guangzhou, China) areas were also carried out.

Meteorological data were collected during summers 2017–2018 through a station installed in a farm in the province of Florence and by two World Meteorological Organization (WMO)‐certified meteorological stations located at the Florence and Guangzhou airports. These data were used to calculate the wet-bulb globe temperature and to estimate the hourly PL and the economic cost during the typical working time (from 8 a.m. to 5 p.m.) and by advancing of 1 h and 2 h the working time. Significant differences were calculated through nonparametric tests.

The hourly PL and the related economic cost significantly decreased (p < 0.05) by working in the shade and by work-time shifting. Higher PL values were observed in Guangzhou than in Florence. The decrease of PL observed by work-time shifting was greater in Florence than in Guangzhou.

Useful information to plan suitable heat-related prevention strategies to counteract the effects of heat in the workplace are provided. These findings are essential to quantify the beneficial effects due to the implementation of specific heat-related adaptation measures to counter the impending effects of climate change.

The outbreak of Covid-19 increased the average time spent on social media (SM). This led to a transformation in how companies manage their digital marketing channels and created additional pressure for business-to-business (B2B) and family businesses, which tend to focus more on personal relationships with customers and stakeholders than on the implementation of digital marketing strategies on SM. The present research examines the case study of a Facebook advertising campaign created to promote the products and business values of an Italian family firm specialising in the production and commercialisation of biostimulants for agriculture.

The research aims to combine digital marketing avenues (i.e. a Facebook advertising campaign) with established psychological and behavioural theories, such as the dual process theories, by comparing the effects of two promotional videos (emotional vs functional).

The results suggest that emotional videos generate more passive behaviours, such as views, as well as active behaviours in the form of likes, comments and shares, while functional videos induce people to search for more information about the advertised products.

This is the first study to validate the role of Facebook advertising campaigns in developing an information-based approach to B2B family firms by testing the effectiveness of a targeted campaign comparing the impact of emotional and functional cues on increasing users' engagement while optimising the circulation of video content. The study helps to reduce the academic–practice gap by investigating the example of a fruitful integration between academic research and management practice.

This paper brings together the literature on theories of complexity adaptive systems (CAS), develops an analytical framework, applies this framework to the development of tourism destinations and critically reflects on the use of this perspective.

This paper elaborates on a CAS perspective on destination development, to further develop complexity thinking in tourism studies. This approach enables to identify policy avenues geared towards improving destination governance and contributing to sustainable tourism development.

Theories of CAS offer an analytical lens to better understand destination development, drawing explicit attention to (1) the levels of the individual, (emergent) structures, the structure-agency interface and the system level, (2) the steps related to the process of adaptation that is critical for systems to survive and thrive in times of change and (3) the undervalued importance of considering the factor of time.

Applying CAS theories help to address a range of (policy) avenues to improve destination governance, contributing to a shift in focus from reactively fixing problems to proactively addressing the structural issue of adaptive capacity building. It shows that managing tourism destination as complex systems involves a set of conditions that are critical as well as difficult to meet in tourism practice.

The purpose of the paper “Commerce, jobs and politics: the impact of the USA–China trade on USA domestic politics” is to examine the impact of Chinese trade with the USA to determine the consequences of the trade on manufacturing employment. The geographic and sectoral impacts of this trade are assessed. The conclusion is that the USA–China trade has affected political polarization in such a way as to affect electoral outcomes. Implications for policy are discussed in the paper.

The overall design is a focused case study in terms of its focus on the USA–China trade relations. There is also a statistical component due to the breakdown of the USA in economic commuting zones.

The major finding is that Chinese import penetration created substantial political polarization in the USA and that polarization affected electoral outcomes. Chinese import penetration also resulted in a shift of jobs from the eastern heartland to the coasts. Much of the transition was aided by the restructuring of jobs within firms from manufacturing to high-end services.

Perhaps, the biggest limitation concerns how general and durable the findings are. The authors establish that the first decade after Chinese entry into the World Trade Organization (WTO) (2001) was characterized by economic disruption in the USA labor market. Whether the economic effects will have a longer duration is not known.

One practical limitation is that it is difficult to know what policy actions to take on the basis of the research: trade policy, human capital (education) policy or place-based policies which aid particular regions.

The social implications in this paper are jobs and employment policy.

The author thinks this is very original work, though based on the work of several economists. But outside of a few articles, the author does not think much has appeared in political science journals.

Due to the unknown location, size and timing of disasters, the rapid response required by humanitarian operations (HO) faces high uncertainty and limited time to raise funds. These harsh realities make HO challenging. This study aims to systematically capture the complex dynamic relationships between operations in humanitarian settings.

To achieve this goal, the authors undertook a systematic review of the extant academic literature linking HO to system dynamics (SD) simulation.

The research reviews 88 papers to propose a taxonomy of different topics covered in the literature; a framework represented through a causal loop diagram (CLD) to summarise the taxonomy, offering a view of operational activities and their linkages before and after disasters; and a research agenda for future research avenues.

As the authors provide an adequate representation of reality, the findings can help decision makers understand the problems faced in HO and make more effective decisions.

While other reviews on the application of SD in HO have focused on specific subjects, the current research presents a broad view, summarising the main results of a comprehensive CLD.

The form and content of relationship value dominates the literature. This paper contributes by studying companies’ actions based on their value perceptions, a field which has attracted less attention. Scholars advocate more studies on how companies’ value perceptions shape actions in relationships and how this leads to outcomes.

A longitudinal critical case study of a customer/supplier relationship constitutes the empirical basis of the paper. Interviews and observation studies were conducted over a period of three years, giving access to special insight into the actors’ value perceptions and related actions.

Value perceptions shape actions performed individually, jointly or in the wider network. Moreover, misperceptions of the counterparty’s value perceptions may result in a maelstrom of interactions with no specific value outcome. Acting based on value perceptions is a complex matter due to its evolving nature, which leads to development becoming a value driver.

The interdependencies between different value perceptions and their relational value drivers have special effects on actions and outcomes, also, value in actions needs to be studied.

Management needs to explore value from different perspectives to understand the counterparty’s value perceptions and communicate own perceptions. It is not sufficient to create value based on one value driver. Instead, it is vital to be able to connect value drivers to balance and prioritise relevant actions.

This paper stands out as one of the first contributions to relationship value literature that addresses and analyses value from both a customer perspective and a supplier perspective in a dyadic business relationship.