Introduction South Africa has the dubious distinction of having amongst the highest rates of unemployment and inequality in the world. It is also one of the most emissions-intensive economies, measured in greenhouse gas (GHG) emissions per unit of economic output. The co-existence of high unemployment and high emissions intensity is not just a coincidence. South Africa’s history of segregation and apartheid has had profound implications for its development path. One outcome was an economy heavily based on mining, mineral processing and heavy industry, subsidised by cheap electricity.

South Africa has the dubious distinction of having one of the highest rates of unemployment and inequality in the world. It is also one of the world’s most emissions-intensive economies, measured in greenhouse gas (GHG) emissions per unit of economic output. Historically, both during and after apartheid, state subsidies have favoured capital- and energy-intensive industries. What policies are necessary to change the development path to be both more climate- and labour-friendly?

Abstract

Adopting social responsibility can be a key strategy for firms to mitigate the impact of production on the environment, contributing to a more sustainable business model. Based on the triple bottom line perspective, we analyze the effect of Corporate Social Responsibility (CSR) on the willingness to allocate resources to eco-innovation among companies in a developing country.

Increasing strategic and large-scale investments in low-and middle-income countries are required to ensure a just, equitable, and predictable low-carbon transition. Mobilizing Climate Investment Models is part of a larger initiative to identify the most promising research issues to support an actionable low-carbon transition in the Global South. 

Infrastructure, both hard (Transport) and soft (Digital), are considered catalysts of economic growth. The provision for low-carbon infrastructure, in light of public-private partnerships, is part of a larger initiative to identify the most promising research issues to support an actionable low-carbon transition in the Global South. 

Despite increased investments in the promotion of the adoption of sustainable land management technologies by developing countries, rural poverty remains prevalent. Thus, there is a need to measure the impact of sustainable land management technologies on poverty in order to provide relevant information necessary for devising appropriate poverty reduction strategies. This paper used the Endogenous Switching Regression method to estimate the effect of the adoption of sustainable land management technologies on poverty in Kenya.