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Recognising the growing importance of environmental and sustainable activities and the role of communication strategies in soliciting their financing, this work investigates the influence of message framing, green emphasis and quantitative information on the probability of green crowdfunding campaigns' success.

This analysis is based on crowdfunding campaigns published between 2015 and 2020 on the Indiegogo platform in the category “Community projects – Environment”. The study develops an in-depth qualitative content analysis of the projects before performing an empirical examination to determine funding causes.

Communication strategies (message framing, green emphasis and quantitative goals) affect funding success. However, project category moderates the impact of message framing and green emphasis on campaign success. While positive framing increases agri-food campaign success, negative framing is more effective for clean energy and climate preservation projects. Moreover, indication of a quantitative goal and a marked green emphasis in a project's presentation increase campaign success, but a too marked green emphasis is only effective for agri-food projects.

Green entrepreneurs and campaign managers must work carefully on their projects' communication, accounting for the type of product proposed, emphasising green components in its description and utilising quantitative information to present future goals. These strategies maximise backers' responses and enable entrepreneurs to obtain funding. The authors’ findings may be extended to other contexts, including the banking sector, to craft effective communication strategies for green financial products.

By applying framing theory in a new context (i.e. the online financing of green entrepreneurs), this study identifies new campaign success determinants and provides evidence for the moderating role of project category. Furthermore, the study highlights the need to develop different communication strategies for social and environmental-oriented projects.

The development of tourism around Wolong Nature Reserve changes the local communities' ways of life. This study discusses how ecotourism affects the households' use of their capitals, the livelihood strategies as well as illustrates the impact on the habitats in the reserve through Department for International Development’s (DFID) Sustainable Livelihood Framework (SLF) with data collected during fieldwork.

The study focuses on (1) Calculating Livelihood Capital Index. (2) The effects of livelihood capitals on livelihood strategy were calculated by multinomial logistic regression.

The study has yielded the following results: (1) In general, tourism promotes people's livelihood capitals. The growth in different types of households under tourism settings is ranked as full-time tourism operators > part-time tourism operators > traditional living households. (2) Tourism development mainly shifts livelihood strategies in two ways. Firstly, travel operating replaces some traditional practices that make livings; secondly, increased needs for potherbs and herbs from tourists let households enter into the hills to pick the plants more actively, which intensifies the destruction of giant panda's habitats. (3) Nine types of livelihood capitals indicators, namely farmland quality, distance between house and roads, number of laborers, average housing area, average income per person, whether family members being village cadres, and ever having received skills training shape livelihood strategies in different levels.

Three discussions are drawn from the study: (1) Enhancing the exploit for tourism resources to form a diversified competition. (2) Introducing herb growing to fulfill tourists' needs and improve people's livelihood in the meantime. (3) Optimizing the tourism surveillance and management system and improving the rules and regulations.

This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions.

This study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and identify the current research streams and proceeds with a systematic literature review to examine the main topics and examine the main contributions.

Six clusters were identified: (1) AI adoption and benefits, (2) AI for efficiency and productivity, (3) AI for logistics and supply chain management, (4) AI for supporting decision making process for firms and consumers, (5) AI for risk mitigation and (6) AI marketing aspects. Then, the authors propose an interpretive framework composed of three main dimensions: (1) the two sides of AI: the “hard” side concerns the technology development and application while the “soft” side regards stakeholders' acceptance of the latter; (2) level of analysis: firm and inter-firm; (3) the impact of AI on value chain activities in the agri-food sector.

This study provides interpretive insights into the extant literature on AI in the agri-food sector, paving the way for future research and inspiring practitioners of different AI approaches in a traditionally low-tech sector.