Abstract
Out of the two major factors defining climate change (biogenic and anthropogenic), humans have control to modify only the anthropogenic ones. For anthropogenic as well, the actions for which climate responses are irreversible, cannot be controlled, however, they can be monitored to bring better adaptation from human perspective. For the reversible anthropogenic factors, designing control mechanisms and mitigation strategies requires proper monitoring and investigation of anthropogenic activities through research in various aspects. Now is the time when collaboration is the only way to sustain life on Earth and not this, public–private partnership in the research domain is crucial. Losses due to weather-related events have roughly increased 10 times over the last 40 years and to combat the surmounting losses, accelerated deployment of various research agencies is required. From climate-smart agriculture to climate resilience infrastructure, everything requires extensive research to come up with strategies for decisive actions. This becomes even more important in the case of estimating the indirect emissions, i.e., scope 2 and scope 3 emissions of value chains. Inclusive work of private and public entities, knowledge as well as technology exchange is important. Some of the studies have found that PPPs (public–private partnership) lead to higher outcomes and allow the government to overcome incompleteness of work, besides being time-managed and cost-effective. PPS potentially can provide a useful framework under which both can pool and coordinate more efficiently for the common cause of climate change. Adaptation principles given by the World Bank for designing strategies for climate change adaptation and resilience also underscores the importance of PPPs.
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Singh, S., Jangir, S., Chand, S. (2024). Public–Private Partnership for Climate Change Research. In: Tripathi, G., Shakya, A., Kanga, S., Singh, S.K., Rai, P.K. (eds) Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research. Advances in Geographical and Environmental Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-97-1685-2_13
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