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"Climatic changes Economic aspects India."
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India and Global Climate Change
Though the impact of climate change will most likely be greatest with the already poor and vulnerable populations in the developing world, much of the writing about the costs and benefits of different policies to reduce greenhouse gas (GHG) emissions is by Western scholars, working in advanced industrialized economies. Drawing the majority of its contributions from authors based at Indian universities and other research centers, India and Global Climate Change provides a developing world perspective on the debate.
With a population of over one billion, and an economy that is undergoing substantial restructuring and greatly increased economic growth after a number of years of stagnation, India has an exceptional stake in the debate about climate change policy. Using the Indian example, this volume looks at such policy issues as the energy economy relationships that drive GHG emissions; the options and costs for restricting GHG emissions while promoting sustainable development; and the design of innovative mechanisms for expanded international cooperation with GHG mitigation.
eBook
The Economics and Politics of Climate Change
The international framework for a climate change agreement is up for review as the initial Kyoto Protocol period to 2012 comes to an end. Though there has been much enthusiasm from political and environmental groups, the underlying economics and politics remain highly controversial. This book takes a cool-headed look at the critical roadblocks to agreement, examining the economics of climate change, the incentives of the main players (the United States, EU, China), and the policies which governments can put in place to reduce greenhouse gas emissions, and ultimately shift our economies onto a low-carbon path. It questions the basis of much of the climate change consensus and debates the Stern Review's main findings. Aside from a reassessment of the economics of climate change, the book looks at the geography of the costs and benefits of climate change — the very different perspectives of Africa, China, Europe, and the United States — as well as the prospects for a new global agreement. It also considers policy instruments at the global level (whereas much of the literature to date is nationally and regionally based). Trading and R&D, along with more radical unilateral options, including geoengineering, are discussed. Finally, the book describes the institutional architecture — drawing on evidence from previous attempts in other areas, as well as proposals for new bodies.
eBook
Knowledge Systems and Change in Climate Governance
The success of international efforts to manage climate change depends on the participation of emerging economies. This book uses a comparative study of two of the most important, India and South Africa, to reveal new insights into managing climate change on a global scale.
The book provides a unique in-depth analysis of how these two countries are dealing with climate change at both national and province levels, from India's advances in solar and wind energy development to South Africa's efforts to introduce a carbon tax. Using the innovative theoretical framework of climate knowledge systems, it explores how people in India and South Africa engage with one other, learn and act by forming communities of practice. The book identifies the drivers and barriers of climate governance, showing how different forms of scientific, technological, normative and pragmatic knowledge can aid climate governance and analysing how the underlying mind-set that guides climate action in these countries is changing.
This book is a valuable resource for students and scholars of environmental policy, politics and governance, as well as comparative politics, climate change and sustainable development.
eBook
Livelihood vulnerability index: Assessment of climatic changes in flood affected areas of Mianwali district, Punjab, Pakitan
The world is facing substantial threats from climate change such as extreme weather events, floods, biodiversity loss, sea-level rise, and ecosystem degradation. The objective of this study is to assess the livelihood vulnerability index of communities in flood-prone areas, specifically investigating the reasons behind their vulnerability, their income sources, and the impact of flooding on economic activities. Pakistan is an agrarian country and known to be a climate vulnerable country, flood possess higher threat to rural livelihood. Mianwali district of Punjab, Pakistan was selected as the study area because it is among the poorest districts, and is most severely impacted district during 2010 catastrophe. The study employed qualitative methods like focus group discussions, interviews, and transect walks, alongside quantitative approaches such as the Livelihood Vulnerability Index (LVI). Primary data was collected from 200 households through structured questionnaires by applying simple random sampling technique. Results demonstrated that the overall vulnerability of the local community of Mianwali to flood was high 0.4 score (out of 5) as per Livelihood Vulnerability Index criteria. It was revealed that the exposure factor (0.424) significantly influenced vulnerability and communities had low adaptive capacity (0.077) in the face of flood hazard. While the sensitivity of Mianwali’s community to flood scored 0.088. These findings are crucial for policymakers to assess baseline causes of livelihood vulnerability and formulate adaptation for other rural communities. It can be concluded that addressing these factors effectively in planning strategies may mitigate vulnerability and increase communities’ capacity to deal with potential flooding.
Journal Article
Twenty-first century-end climate scenario of Jammu and Kashmir Himalaya, India, using ensemble climate models
The study investigates the future climate change in the Jammu and Kashmir (J&K) Himalaya, India, by the end of the twenty-first century under 3 emission scenarios and highlights the changes in the distribution of the prevalent climate zones in the region. The multi-model climate high-resolution projections for the baseline period (1961–1990) are validated against the observed climate variables from 8 meteorological stations in the region. The temperature projections from the GFDL CM2.1 model are found in good agreement with the observations; however, no single model investigated in the present study reasonably simulates precipitation and therefore multi-model ensemble is used for precipitation projections. The average annual temperature is projected to increase by 4.5 °C, 3.98 °C, and 6.93 °C by the end of the twenty-first century under A1B, RCP4.5, and RCP8.5 scenarios, respectively. In contrast, an insignificant variation in precipitation projection is observed under all the 3 scenarios. The analysis indicates that, unlike the 13 climate zones under the updated Köppen-Geiger climate classification scheme, the J&K Himalaya broadly falls into 10 main climate zones only namely, “3 subtropical (~ 11%), 4 temperate (~ 19%), and 3 cold desert (~ 70%) zones”. The projected climate change under the 3 emission scenarios indicates significant changes in the distribution of prevalent climate zones. The cold desert climate zone in the Ladakh region would shrink by ~ 22% and correspondingly the subtropical and temperate zones would expand due to the projected climate change. This information is vital for framing robust policies for adaptation and mitigation of the climate change impacts on various socio-economic and ecological sectors in the region.
Journal Article
Synergies and trade-offs for climate-resilient agriculture in India: an agro-climatic zone assessment
Globally, agriculture is recognized as a highly vulnerable sector to climate change and risks from climatic aberrations pose an imminent danger to the food security and sustainability of livelihoods. To bring robustness in climate adaptation planning, evaluation of resilience across homogenous regions is essential for developing and scaling suitable location-need-context specific interventions and policies that build the resilience of the agricultural system. In this paper, we present an analysis and discussion of multi-scalar and multi-indicator assessment, by profiling resilience across agro-climatic zones of India, based on the development of a Climate-Resilient Agriculture Index embracing environmental, technological, socio-economic, and institutional and infrastructural dimension. A total of 26 indicators, spread across these four dimensions, were employed to purport inter- and intra-agro-climatic zone differentials in the level of resilience. Among the zones, it was found that West Coast Plains & Ghats and Tans-Gangetic Plains had the highest degree of resilience to manage climate risks. Most of the districts lying within Eastern Himalayan Region, Middle Gangetic Plains, Eastern Plateau & Hills, and Western Dry Region had a lower degree of resilience. The study places greater emphasis on deciphering region-specific drivers and barriers to resilience at a further disaggregated scale for improving rural well-beings. It is construed that devising action plans emphasizing awareness, preservation of natural resources, diversification, building physical infrastructure, strengthening of grass-root institutions, and mainstreaming climate adaptation in the developmental policy is crucial for climate-resilient pathways.
Journal Article
Assessing district-level climate vulnerability in Madhya Pradesh, Central India: an integrated environmental and socio-economic approach
Climate change poses significant challenges to human societies and natural ecosystems, necessitating comprehensive vulnerability assessments to develop appropriate adaptation stratigies. This study focuses on Central India and employs a multidimensional approach to evaluate the composite vulnerability at the district level. By integrating environmental (8 indicators) and socio-economic (5 indicators) factors, this study offers a nuanced understanding of vulnerability patterns in the region. The methodology involves the selection of indicators based on past literature and preliminary investigation, followed by secondary data collection from environmental and socio-economic factors. The data is analysed using an indicator-based approach, normalisation, weighting, and developing vulnerability indexes. This analysis is structured in three phases: Environmental Vulnerability Index (EVI), Socio-economic Vulnerability Index (SVI), and Composite Vulnerability Index (CVI). The results of CVI revealed that districts with a lower CVI (0.321–0.378), such as Gwalior, Jabalpur, and Bhopal, exhibited decreased vulnerability because of a lower level of climatic extremes affected areas, reduced percentage of socially deprived population and a higher value of HDI. Districts with medium CVI (0.381–0.407), such as Damoh, Indore, and Shahdol, exhibited moderate resilience. On the other hand, districts with high (0.409–0.402) and very high CVI (0.448–0.540), such as Narsimhapur, Betul, Balaghat, Chhindwara, Alirajpur, and Barwani, encountered notable susceptibility because of factors such as dependence on agriculture, a substantial proportion of socially deprived population, occurrences of droughts and floods. Hierarchical cluster analysis validated vulnerability classifications, enhancing the credibility of assessments. The research underscores the importance of considering climate change vulnerability assessments for effective policy formulation and adaptive strategies.
Journal Article
Climate change response in wintertime widespread fog conditions over the Indo-Gangetic Plains
This study investigates the influence of climate change on widespread fog conditions over the Indo-Gangetic Plains (IGP) of north India using observations, reanalysis data of atmospheric parameters, coupled model inter-comparison project 6 (CMIP6) projections following four future scenarios based on the shared socio-economic pathways (SSP126, SSP245, SSP370, SSP585), and advanced analysis techniques including machine learning. Two parameters fog fraction and widespread fog days (WFDs) are estimated in this study by functional mapping of fog observations with 8 atmospheric parameters for the period 1981–2018 using three empirical/machine learning approaches. Of these, we note that the deep learning convolutional neural network (CNN) exhibits superiority in performance by showing the mapping closer to the observed, and also offers promising potential for operational purposes to provide fog outlooks for the IGP region. Temporal evolution of fog fractions and WFDs is analyzed from the CMIP6 projections following the aforementioned four future scenarios using CNN for the future periods of the twenty-first century. It is noted that there is a substantial enhancement in the CMIP6 projected fog fractions as high as 57% during the period (2015–2045) relative to the historical (1981–2014) period, while the largest increase of 154% is seen in projected WFDs. It is also seen that the near-future period (2015–2045) witnesses a larger prevalence of WFDs, for all scenarios except SSP126, due to the combined effects of air pollution and greenhouse warming. The post-2046 periods, however, generally indicate signatures of decline in foggy days with widespread conditions relative to historical period in most of the scenarios except SSP370. The severity in fog conditions following the high-emission scenarios SSP370 and SSP585 during this period comes from the relative impact of mitigation strategies of pollutants. The findings provide insights into the possible future changes in widespread fog conditions suitable for the IGP region.
Journal Article