TY - GEN
T1 - An exploratory analysis on Agritech policies, innovations and funding for climate change mitigation
AU - Hernandez Serrano, Pedro
AU - Altenburg, Lina
AU - Kumar, Parveen
N1 - Funding Information:
Funding dimension: we have used the CORDIS (The Community Research and Development Information Service) public dataset2. CORDIS is the European Commission's primary source of results from the projects funded by the EU's framework programs for research and innovation (FP1 to H2020). For this study we have selected the projects funded within the Horizon framework (H2020). The latter is a compound of more than 1700 projects. The level of observation is per EU project, the dataset can be downloaded in XLSX format. The variables include name of the project, description, the year started, the total cost of the project, EU contribution of the project and institutions in the consortia.
Publisher Copyright:
© 2020 IEEE.
PY - 2020
Y1 - 2020
N2 - Climate change mitigation technologies (CCMT) have significantly been developed for the last decade to mitigate the consequences of mega global challenges, such as climate risk and threatened food security. International agreements such as the Kyoto Protocol and Paris Agreement are the driving framework for developing policies and fostering research and innovation. However, the proportionality of technological innovation, funding, and policy development is very skewed towards energy-intensive sectors like transport, industry and energy and ignores sectors like agriculture and waste. This paper aims to explore three dimensions that drive the development of CCMT in the agriculture sector: innovation, policy and funding. We have used a mixed-method approach where we have collected open-source data, using text mining techniques for filtering CCMT and agriculture concerning regulations and projects, and applied a descriptive analysis. The findings of this study show that there is no precise alignment of the three dimensions and confirm that only 2.3% of the EU financial contribution goes to the agriculture sector. Moreover, most of the climate change policies or regulations are intended for energy-intensive sectors and not explicitly focused on agriculture. Finally, the analysis reveals that the constricted development of CCMT in the agricultural sector is not only due to the limited financial investment but also due to conflicting policies, decisions, and regulatory cooperation.
AB - Climate change mitigation technologies (CCMT) have significantly been developed for the last decade to mitigate the consequences of mega global challenges, such as climate risk and threatened food security. International agreements such as the Kyoto Protocol and Paris Agreement are the driving framework for developing policies and fostering research and innovation. However, the proportionality of technological innovation, funding, and policy development is very skewed towards energy-intensive sectors like transport, industry and energy and ignores sectors like agriculture and waste. This paper aims to explore three dimensions that drive the development of CCMT in the agriculture sector: innovation, policy and funding. We have used a mixed-method approach where we have collected open-source data, using text mining techniques for filtering CCMT and agriculture concerning regulations and projects, and applied a descriptive analysis. The findings of this study show that there is no precise alignment of the three dimensions and confirm that only 2.3% of the EU financial contribution goes to the agriculture sector. Moreover, most of the climate change policies or regulations are intended for energy-intensive sectors and not explicitly focused on agriculture. Finally, the analysis reveals that the constricted development of CCMT in the agricultural sector is not only due to the limited financial investment but also due to conflicting policies, decisions, and regulatory cooperation.
KW - AGREEMENT
KW - Agriculture
KW - Climate change policy
KW - EU funding
KW - Exploratory analysis
KW - SCIENCE
KW - Technological innovation
KW - ENERGY
U2 - 10.1109/bigdata50022.2020.9378314
DO - 10.1109/bigdata50022.2020.9378314
M3 - Conference article in proceeding
SP - 2365
EP - 2370
BT - 2020 IEEE International Conference on Big Data (Big Data)
A2 - Wu, XT
A2 - Jermaine, C
A2 - Xiong, L
A2 - Hu, XH
A2 - Kotevska, O
A2 - Lu, SY
A2 - Xu, WJ
A2 - Aluru, S
A2 - Zhai, CX
A2 - Al-Masri, E
A2 - Chen, ZY
A2 - Saltz, J
PB - IEEE
T2 - 2020 IEEE International Conference on Big Data (Big Data)
Y2 - 10 December 2020 through 13 December 2020
ER -