Climate Change Vulnerability in Agriculture Sector: Indexing and Mapping of Four Southern Indian States

Gummadi, Sridevi; Jyotishi, Amalendu; Mahapatra, Sushanta Kumar; Jagadeesh, Gaddam Sai; Bedamatta, Satyasiba

doi:10.2139/ssrn.2503834

Cited by 14 publications

(12 citation statements)

References 16 publications

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“…Higher the value of vulnerability index, higher will be vulnerability of farmers to climate change and vice versa. [4], [5] Sensitivity can be described as the degree to which a system is affected, it can be either negatively or positively (IPCC, 2010). In this study sensitivity was described using four selected sub components: average crop diversification index, percentage share of leased in land in the total cultivated area by the farmers, percentage of farmers who do not have any risk mitigation measures and farmers using common irrigation structures.…”

Section: Resultsmentioning

confidence: 99%

A Framework for Assessment of Micro Level Vulnerability to Climate Variability of Farmers: A Case Study in Kerala, India

Ajmal¹,

Lazarus²,

Vijayan³

et al. 2021

AJAEES

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The vulnerability of farmers to climate variability is an important topic of discussion. It varies depending upon diverse factors that disturbing it, likewise, the extent of vulnerability varies according to different levels, i.e.; from a whole country level to an individual level or in other words from macro to micro level. This study attempts to build a framework for the assessment of the microlevel vulnerability of farmers. A vulnerability index was made from normalized values of three major component indices (sensitivity, exposure, and adaptive capacity), which is made up of a selected number of sub components. The study was conducted by selecting respondents from two districts of Kerala, and it was found that this method can be used as an empirical method to interpret the vulnerability to climate variability, keeping the fact that it is only a constrained measure of risk.

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Section: Resultsmentioning

confidence: 99%

A Framework for Assessment of Micro Level Vulnerability to Climate Variability of Farmers: A Case Study in Kerala, India

Ajmal¹,

Lazarus²,

Vijayan³

et al. 2021

AJAEES

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“…Twenty-two indicators have been considered in this study in the construction of the Climatic Vulnerability Index for a particular year, that is, 2011, based on the methodology used by Sridevi et al (2014). Of the twenty-two indicators, nine are related to socio-demographic vulnerability, five indicators linked to occupational vulnerability, four variables cover agricultural vulnerability, and the remaining four are on common-pool resources (CPR) vulnerability attributes.…”

Section: Methodsmentioning

confidence: 99%

“…The following procedure has been used in this study for the estimation of a composite index. The choice of this method over other possible methods is described in Sridevi et al (2014).…”

Section: Indices Development For Climate Change Vulnerabilitymentioning

confidence: 99%

“…Vulnerability to climate change is manifested in three constituents: exposure, sensitivity, and adaptive capacity. Based on a review undertaken in previous studies (for a detailed review, see Sridevi et al, 2014) an attempt is made to identify the association between climatic vulnerability, agrarian distress and farmer suicides across different states in India. We have constructed a vulnerability Index based on predominant components available from secondary data.…”

Section: Introductionmentioning

confidence: 99%

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Juxtaposing Farmers’ Suicides and Climate Change Vulnerability: An Empirical Analysis of Indian States

Gummadi

Jyotishi

Jagadeesh³

2021

SACI

Self Cite

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India’s overall ranking on the Global Climate Risk Index has been deteriorating in recent years, making it more vulnerable to climate risks. It has been indicated in the literature that climate change is also associated with agrarian distress. However, empirical analyses are scanty on this, especially in the Indian context. In this analytical exercise, we tried to explore the association between farmers’ suicides and climate change vulnerability across Indian states. Using data from various sources, we arrive at an Agrarian Vulnerability Index and juxtaposed that with farmers’ suicide data between 1996 to 2015 collected from the National Crime Records Bureau (NCRB). We noted a strong association between climate change vulnerability and farmers’ suicides. The essence of this analysis is to indicate and understand the broad trends and associations. This research, in the process, informs and presses for a systematic, more comprehensive study with an agenda at micro and meso levels to understand the nuances of this association. Submitted: 01 November 2020; Revised: 11 January 2021; Accepted: 29 April 2021

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“…This allows the research to be conducted independently from climate models, as these models change frequently and the forecasting accuracy has a high degree of uncertainty [Hahn et al, 2009]. According to Sridevi et al [2014], the vulnerability of rural areas is a function of socio-demographic, occupational and resource factors as well as the agricultural land's potential. Żurovec et al [2017] takes into account the exposure (temperature and precipitation changes, flood hazard, etc.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability of Rural Areas to Climate Change – Analysis of Similar Units in Terms of Spatial Conditions for Warmińsko-Mazurskie Voivodeship

Kocur-Bera¹

2019

J. Ecol. Eng.

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In the current decade, the fact that climate change is a continuous process and that humans have been contributing to this change is indisputable. Therefore, the whole society and the decision-makers who guide the process of application of regional policy principles, are facing a challenge as to which measures need to be taken to minimise the consequences of this change. Although we live in a global world, it can be observed that interactions occur in each unit on an individual basis. As we have more and more knowledge and information on the space, we can indicate which units, regions and spaces have the greatest predisposition to be subject to climate change. Moreover, being aware of the level of risk, we can attempt to implement tools that will help society to accept climate change and properly adapt to it. A space's predisposition to climate change is not only determined by the weather, environmental or geographical conditions. The literature on the subject indicates three basic determinants of the predisposition, i.e. the exposure, vulnerability and the adaptive capacity. Only all of these elements grouped together can provide an answer to the question about a unit's predisposition. The article focuses on the indices which represent all three determinants of the predisposition. It should be noted that depending on the availability of data and their aggregation, there is no possibility of using the same indices for all countries. This, however, does not prevent the performance of a uniform analysis for spaces included in the same statistics. The article presents a case study for agricultural land in the province of Warmia and Mazury. Using Ward's method, four subregions with similar determinants of the predisposition to climate change were distinguished. Three subregions stand out, as two of them have a significant impact of exposure (S.1) and vulnerability (S.2), while the third subregion dominates in terms of adaptive capacity (S.4).

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Climate Change Vulnerability in Agriculture Sector: Indexing and Mapping of Four Southern Indian States

Abstract: Abstract:Agriculture

Cited by 14 publications

References 16 publications

A Framework for Assessment of Micro Level Vulnerability to Climate Variability of Farmers: A Case Study in Kerala, India

A Framework for Assessment of Micro Level Vulnerability to Climate Variability of Farmers: A Case Study in Kerala, India

Juxtaposing Farmers’ Suicides and Climate Change Vulnerability: An Empirical Analysis of Indian States

Vulnerability of Rural Areas to Climate Change – Analysis of Similar Units in Terms of Spatial Conditions for Warmińsko-Mazurskie Voivodeship

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