This study investigates the impacts of the COVID-19 lockdown on municipal solid waste (MSW). Based on a unique data set of daily discarding records of 252 communities in Beijing, China, we conduct a difference-in-differences estimation and find that the total daily MSW decreased by 134.16 kg in a community, which is equivalent to at least 0.22 kg per household per day, and the average weight of MSW per package decreased by 56.8 per cent after the COVID-19 lockdown. We consider a series of potential mechanisms, such as MSW hoarding, shifts in discarding time, and fear of going out, and find the most support for consumption pattern shifts with reduced consumption. We then discuss the effect of the lockdown on the reduction of MSW generation because of the strict restriction of consumption. We also conduct various heterogeneity analyses. Our results present clear implications for municipal waste management by highlighting the effect of the lockdown on the generation of MSW and the underlying consumption mechanism.

Environmental violation by enterprises is a common problem in environmental management worldwide. To restrict enterprises' environmental pollution behaviors, China has implemented a public supervision system based on environmental information publicity, which guides the public to participate in environmental governance and supervises enterprises' environmental pollution behaviors. This study exploits a quasi-natural experiment based on the disclosure policy of the Pollution Information Transparency Index in China from 2008 and the difference-in-differences method to evaluate the disclosure effect of public supervision on enterprises' environmental violations, and to examine its environmental benefits and their realization path. We find that the public supervision system is conducive to the disclosure of enterprises' environmental violations. At the same time, public supervision has achieved the expected environmental benefits, mainly realized by reducing enterprises' output to reduce polluting emissions, and this mechanism is more obvious for high-polluting enterprises.

This paper studies the implications of distortions in intertemporal margins for the conduct of climate policy. We do so by introducing a framework that combines a standard two-period overlapping generations (OLG) model with a tractable model of household heterogeneity, in which over-accumulation of capital arises from uninsurable idiosyncratic labor income risk. We illustrate that market-based climate policies must be adjusted when the government cannot provide full insurance to households by taxing only capital and is constrained to transfer resources across generations for risk-sharing. In a numerical exercise, we find that idiosyncratic risk leads to an optimal capital income tax rate of 35 per cent and a carbon price 7.5 per cent lower than its first best.

This study aims to understand how Rwandan farmers value the improved characteristics of climate services introduced to them in a choice experiment setting. Data were collected from 1,525 household heads in November 2019. A random parameters logit model was used to analyze the data. Results suggest that Rwandan farmers value forecast accuracy, dissemination through a combination of extension agents and the Participatory Integrated Climate Services for Agriculture process, and bundling with market price information. This study suggests that to improve agricultural management planning and food security of farmers through the provision of climate services, these services need to be accurate, user-tailored, and accessible.

Nigeria is endowed with abundant sunshine year-round; thus, solar PV would solve the environmental problems associated with petrol-powered generators. However, it is unclear whether households are willing to transition. Thus, we analyze households’ willingness to pay (WTP) for solar PV under four scenarios: (i) WTP when a solar PV is complemented with a generator, (ii) WTP when a solar PV completely displaces a generator, (iii) WTP when a solar PV is complemented with a generator, plus a subsidy, and (iv) WTP when a solar PV completely displaces a generator, given a subsidy. We find that WTP for solar PV is higher when it can displace generators completely. Subsidy plus monthly rather than upfront payment would scale up the adoption of solar PV by about 6 per cent. Furthermore, the cost benefit analysis results show that solar PV investment is profitable. Thus, there is a need to implement policies aimed at scaling up the energy transition.