Support for carbon pricing is growing around the world. Governments, businesses and investors are recognising that nationally-appropriate taxes and trading schemes, as part of a well-aligned package of policies for low-carbon change, can reduce greenhouse gas (GHG) emissions without harming the economy. Strong, predictable and rising carbon prices send an important signal to markets, helping to align expectations on the direction of change, thereby steering consumption choices and the type of investments made in infrastructure and innovation. They also raise fiscal revenues that can be put to productive uses. Around 40 national jurisdictions and over 20 cities, states and regions, have adopted or are planning explicit carbon prices, covering about 12% of global GHG emissions. The number of carbon pricing instruments implemented or scheduled has almost doubled from 20 to 38 since 2012. Over 1000 major companies and investors have endorsed carbon pricing, and around 450 now use an internal carbon price (US$40/t CO2 or higher for some major oil companies) to guide investment decisions, up from 150 companies in 2014.
The global failure to develop in a sustainable manner has led to attempts to adopt green economy approaches in the context of poverty alleviation and sustainable development. Given South Africa’s high carbon footprint and other negative environmental externalities, the government, in partnership with civil society and the private sector, is taking steps to green its economy. The efforts range from large-scale solar installation projects to small-scale grassroots level projects where green jobs are created for the poor, predominantly women, by paying them for environmental services. This paper addresses if and how green economy can be used to alleviate poverty and protect the environment at a grassroots level. In a project under the management of a local environmental non-governmental organisation (ENGO), poor urban women in Pietermaritzburg, South Africa, are utilising the concept to generate income, improve their livelihoods and contribute to environmental sustainability.
Unemployment is a major challenge for Europe. The crisis has led to budget cuts and it has made the socio-economic integration of people who have low educational attainment, low skills, a history of longterm unemployment and who are vulnerable even more difficult. At the same time, environmental degradation, climate change and unsustainable development are amongst the most serious threats that our society has to address; the environmental and health costs often outweighing the gains from economic activity.
The paper investigates the current practices of the green economy, and challenges and opportunities in the Limpopo Province of South Africa. The paper is based on a baseline study designed to gather data from key informants in Limpopo provincial, district and local municipalities. Twenty-three key informants in the province were interviewed. Primary data collected from key informants was supplemented by secondary data from document reviews. Descriptive statistics were used to analyse data on the current practices of green economy, and challenges and opportunities in the province. Findings from the study suggest that there is generally significant awareness of the green economy concept across the provincial district and local municipalities in Limpopo Province. However, there are gaps in terms of information gathering, storage and sharing on green economy activities in the district municipalities, provincial and national departments.
The 'ProEcoServe' project assessed ecosystem services such as the provision of soil retention, shoreline protection, carbon sequestration and pollination, identifying almost US$1 billion of benefits in the four pilot countries of Chile, Trinidad and Tobago, South Africa and Viet Nam. This final report includes the results of a four-year project to develop ecosystem assessment tools and products that decision makers can use to integrate the value of ecosystem services into policy, investment decisions and macro-economic models.