Objective
Towards a regulatory framework for climate smart agriculture
Between now and 2050, there will be a sharp increase in the demand of agricultural products due to an increase of the world’s population, the rise in global calorie intake due to greater affluence, and the production of biofuels. The increase in agricultural production will be accompanied by an increase in the emission of greenhouse gasses. Agriculture is not only a major cause of climate change but in many regions of the world, it is also seriously impacted by climate change.
Policy documents, mostly by international institutions, have endorsed climate smart agriculture (CSA) as a means to achieve production growth, while at the same reducing the emission of greenhouse gasses and adapting the agricultural sector to the changing climate. However, it is as yet unclear through what regulatory mechanism CSA can be achieved. The key objective of this project is to identify the main elements of a regulatory framework that enables, facilitates and stimulates the transition of conventional farm practices toward ‘climate friendly’ practices in the EU. Various methodologies will be used, such as an evaluation of the Australian Carbon Farming Initiative Act, to date the world’s only comprehensive regulatory instrument aimed at facilitating climate smart agriculture.
The project is aimed to be a stepping stone towards a more ambitious research proposal (to be submitted to the European Research Council (ERC) in 2017) aimed at developing the regulatory instruments needed to make the entire European agricultural sector resilient to the impacts of climate change. MSCA IF enables me to be heavily involved in climate law research for two full years, which will give a boost to my scholarly career and provides me competitiveness under the ERC.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- social sciencesmedia and communicationsjournalism
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
- social scienceslaw
- social scienceseconomics and businessbusiness and managementcommerce
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Programme(s)
Funding Scheme
MSCA-IF-GF - Global FellowshipsCoordinator
5037 AB Tilburg
Netherlands