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.

South Africa, like most developing nations, is confronted with choosing between the need to advance their economy and the need to protect the environment. The United Nations Sustainable Development Goals (UN-SDGs-7, 11, 12 & 13) provide a strong foundation for this investigation. To this end, the current research investigates the combined impacts of economic policy uncertainty, fiscal decentralization, and green innovation on environmental sustainability for the instance of South Africa with yearly frequency data from 1960 to 2020.

Abstract

We compared different econometric specifications to model the use of medical services in Chile, focussing on visits to general practitioners and specialist physicians. The evaluated models are the Poisson, Negative Binomial, Zero Inflated Poisson and Negative Binomial, two-step Hurdle model, sample-selection Poisson, and Latent Class model.