The contribution of environmental investments (EIs) to environmental performance (EP) is a lively topic for environmental researchers across the world. In spite of huge amount of research, there is still lack of clarity on the moderating factors that affect the role played by EI. In this study, we distinguish EI into pollution control investments (PCIs) and pollution prevention investments (PPIs). We further investigate whether institutional environment and foreign direct investment (FDI) can play their moderating effects both on the relationship between EI and EP and on the relationships between different types of investments and EP or not. The results indicate that EI has a positive effect on EP. More specifically, PPI plays a stronger positive role in EP, but PCI does not have a significant effect on EP. In addition, both institutional environment and FDI can strengthen the positive impact of EI on EP. The increase of EI in regions with better institutional environment or high FDI can lead to greater improvement in EP. These moderating effects of institutional environment and FDI are also confirmed on the link between PPI and EP. In summary, our results reinforce the existing views that EI, and specifically PPI, can improve EP but further contribute to the understanding of the positive moderating roles played by the institutional environment and FDI on the link between EI and EP. K E Y W O R D S environmental investments, environmental performance, foreign direct investment, institutional environment, pollution control investments, pollution prevention investments 1 | INTRODUCTION How to address the environmental problems caused by the economic development is a common problem faced by the whole world. Over the past 40 years, China has made remarkable achievements in economic development. However, the environmental problems caused by the rapid economic development are still serious (Ai, Hu,

How institutional factors that increase or decrease uncertainty can influence the effect of environmental investments (EIs) on green innovation (GI) deserves further investigation. In this study, we first examine the direct impact of EIs on GI. Moreover, we consider political uncertainty (PU) as a factor that increases uncertainty and consider marketization degree (MD) and environmental regulations (ERs) as two other factors that decrease uncertainty; then, we examine the effects of these factors on EIs and GI. Using key environmental cities in China covering the period from 2003 to 2016 as the research sample, the empirical results indicate that EIs can have a positive effect on GI and two different types of GI (green invention and green utility). In addition, PU can weaken the positive effect of EIs on GI. Furthermore, the association between EIs and GI varies with the intensity of ERs but does not vary with MD. The positive effect of EIs on GI is more pronounced in cities with a higher intensity of ERs. Overall, PU that increases uncertainty can weaken the positive effect of EIs on GI, whereas ERs that decrease uncertainty can strengthen the promotion effect of EIs on GI.

Food waste reduction, as a major application area of the Internet of Things (IoT) and big data technologies, has become one of the most pressing issues. In recent years, there has been an unprecedented increase in food waste, which has had a negative impact on economic growth in many countries. Food waste has also caused serious environmental problems. Agricultural production, post-harvest handling, and storage, as well as food processing, distribution, and consumption, can all lead to food wastage. This wastage is primarily caused by inefficiencies in the food supply chain and a lack of information at each stage of the food cycle. In order to minimize such effects, the Internet of Things, big data-based systems, and various management models are used to reduce food waste in food supply chains. This paper provides a comprehensive review of IoT and big data-based food waste management models, algorithms, and technologies with the aim of improving resource efficiency and highlights the key challenges and opportunities for future research.

Continuous monitoring of food loss and waste (FLW) is crucial for improving food security and mitigating climate change. By measuring quality parameters such as temperature and humidity, real-time sensors are technologies that can continuously monitor the quality of food and thereby help reduce FLW. While there is enough literature on sensors, there is still a lack of understanding on how, where and to what extent these sensors have been applied to monitor FLW. In this paper, a systematic review of 59 published studies focused on sensor technologies to reduce food waste in food supply chains was performed with a view to synthesising the experience and lessons learnt. This review examines two aspects of the field, namely, the type of IoT technologies applied and the characteristics of the supply chains in which it has been deployed. Supply chain characteristics according to the type of product, supply chain stage, and region were examined, while sensor technology explores the monitored parameters, communication protocols, data storage, and application layers. This article shows that, while due to their high perishability and short shelf lives, monitoring fruit and vegetables using a combination of temperature and humidity sensors is the most recurring goal of the research, there are many other applications and technologies being explored in the research space for the reduction of food waste. In addition, it was demonstrated that there is huge potential in the field, and that IoT technologies should be continually explored and applied to improve food production, management, transportation, and storage to support the cause of reducing FLW.