1 Institute for Financial Management and Research Centre for Insurance and Risk Management Summer Internship Report On Acceptability of weather insurance products in Dungarpur district of Rajasthan Submitted By Mayank Midha PGDRM, Institute of Rural Management Anand (IRMA) PRM-28
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Institute for Financial Management and Research
Centre for Insurance and Risk Management
Summer Internship Report
On
Acceptability of weather insurance products in Dungarpur district of
Rajasthan
Submitted
By
Mayank Midha
PGDRM, Institute of Rural Management Anand (IRMA)
PRM-28
2
ACKNOWLEDGEMENT
The summer internship at CIRM was a great learning experience for me and I take this
opportunity to thank individuals without whose help and support this study would not have
been possible.
First of all, I would like to thank Prof. Nivedita Kothiyal, and Mr. Alpesh Macwan at IRMA
for coordinating and organizing the traineeship segment.
I would like to acknowledge the support provided by Ms.Rupalee Ruchismita, Executive
Director, CIRM and Prof. C.Vijaylakshmi, at IFMR Trust in instituting this project. I
acknowledge my discussions with Mr. Chetan Bhatia and Mr. Mangesh Patankar, Consultants
at CIRM, and the kind of support extended by them during the study is really commendable.
The study at Dungarpur, Rajasthan could not have been a reality but for the diligent,
reciprocative support of Mr. Vishnu Khedkar at the Confederation of Indian Industries (CII),
Mr.Tarachand Varma at PI industries and the villagers in village Bodigama Bada, Oda,
Pachlasa Bada and Punjpur.
Special thanks are due to my faculty guide, Prof. Preeti Priya who right from the onset of my
working on this project provided me with her guidance and moral support.
Mr. Sarthak Gaurav at IGIDR, Mumbai deserves a special mention for letting me explore and
helping me with all the doubts regarding various aspects related to micro insurance.
I. Objective: The objective of the study is to conduct a need analysis for a weather insurance
product in the Dungarpur District of Rajasthan. This includes a Client Profiling Study,
identifying various factors that influence or hinder the adoption of the product and to
recommend a potential partner for distribution of this product.
II. Scope of the Study: The scope of the study is limited to the selected representative villages
in the Aspur Block of the district.
III. Methodology: The methodology used for the study includes both Qualitative and
Quantitative techniques. During the qualitative phase various Participatory Rural Appraisal
(PRA) exercises and Focussed Group Discussions (FGD) with the villagers were conducted
to generate socio-economic, psychographic and demographic primary data. The data
collected through these exercises was validated through In-Depth Unstructured Interviews
with the villagers. Findings of the qualitative phase were substantiated through a structured
quantitative Survey through a Survey questionnaire. Furthermore descriptive analysis of the
quantitative data was undertaken.
IV. Sources of Data: The sources of primary data were different PRA exercises, informal
unstructured interviews, Focussed Group Discussions and a Client Survey through a
Structured Questionnaire. The Secondary Data Sources were Annual Reports of various
insurance organisations, journals and working papers on insurance products.
V. Observations and Conclusions: The range of risks that affect the income of agricultural
producers and agribusinesses is quite broad. The two predominant risks being price risk and
production risk, and weather, in particular, is one of the most persistent production risks
which impact all aspects of the agricultural supply chain, particularly in economies based
on rain-fed agriculture and is mostly responsible for the variations in the income of the
farmers. There are only a few insurance mechanisms which deal efficiently with weather
risk. The traditional Area-Yield Indexed Crop insurance (NAIS) in India, an initiative of the
government has been in existence for the past two decades and has been continuously
criticised on a number of aspects ranging from economic, administrative and financial.
Whereas the relatively new Index based weather insurance products are less susceptible to
some of the problems intrinsic in traditional multi-peril crop insurance and hence have
higher probability of getting accepted by the farmer communities. The demand for these
insurance products by farmers in the context of rain-fed village economy is dependent on a
range of different factors ranging from cultural, social, psychological and personal factors.
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The frequency and the intensity of the shocks faced by the farmers determine the need for
the product. On the other hand affordability, previous experience and the knowledge about
the product also influence demand. Product features like: risk coverage, premium,
distribution of the product and even the choice of the vendor play a considerable role in
affecting the demand for the product. The study also reveals that lack of knowledge about
insurance products is the most common reason for not buying insurance products and
surprisingly the respondents felt that affordability doesn’t act as a major hurdle in buying
the product. As per the study the need for weather insurance is considerably high but this is
subject to certain specific product features offered by the insurer.
VI. Recommendations: The Index based weather insurance could be launched in the Aspur
block for the pilot phase covering both excess as well as deficit rainfall for the Kharif
season. CIRM, in particular, should look at the possibility of having a revenue generating
model by designing the training modules for the villagers through which awareness level
about the insurance products can be increased. People’s Education and developent
Organisation (PEDO) and SPECK systems could be used as potential delivery channels.
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1. INTRODUCTION
There is a range of risks that affect the income of agricultural producers and agribusinesses.
The two predominant risks are: price risk, which is the reflection of variations in market
prices for agricultural commodities and agriculture inputs; and production risk, which
encompasses variations in the volume or quality of the commodity produced. Weather, in
particular, is one of the most persistent production risks which impacts all aspects of the
agricultural supply chain, particularly in economies dependent on rain-fed agriculture and is
mostly responsible for the variations in the income of the farmers. Even with the introduction
of new crop varieties, production technology such as irrigation and new management
practices which can be utilised to increase yields and improve resistance to weather perils, the
majority of agriculture in developing countries is highly susceptible to extreme,
uncontrollable weather events that can severely impact both quality and yield of a crop. Such
events include excessive or insufficient rainfall and extreme temperatures.
The effects of weather risk are felt most acutely at the household level, particularly by poor,
vulnerable agricultural households. A large majority of them are subsistence farmers.
Traditionally, farmers have managed this risk by adopting certain ex-ante (before the event)
strategies such as using less risky technologies of lower but reliably yielding drought-
resistant crops, by seeking diversification both in terms of production activities on farm and
income generating activities and by devising informal and formal risk sharing arrangements.
These mechanisms may work well for low-magnitude losses, even if they are frequent, they
often prove to be inadequate for risks which are infrequent but severe (like drought, floods
etc.). Weather risks such as ‘drought’ typically affect entire regions at once, which in a way
renders all informal risk sharing arrangements like inter-household transfers, local credit and
asset markets insufficient. Affected farmers are often forced to employ short term coping
strategies i.e. ex-post strategies (after the event) such as migration, borrowing from money
lenders or neighbours, selling assets, or cutting already small expenditures on household
goods and services. Moreover, during such distress periods the cash inflow from the other
alternative sources also falls below the average levels, for example most of the small and
marginal farmers of the affected area would migrate to the neighbouring areas to work as
daily wage labourers, which further results in an abundant supply of labour to these areas and
hence wages offered to the labourers is below the normal levels.
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There can be many instances where farmers could benefit from investing in agricultural
activities that require higher initial investments and hence would generate higher income, ‘if’
the risks affecting these investments such as weather could be managed. Various other
entities which are an essential part of the agricultural supply chain, such as banks or other
intermediaries (middlemen, traders etc) that work with agricultural producers carry the same
risks as their agricultural clients. Hence, they are also hesitant to invest in agriculture due to
potential defaults during or after such an event. Therefore, there is a need for various efficient
risk management instruments that would transfer the risk to insurance markets allowing
growers and agribusinesses to protect themselves against risk, to have a greater ability to plan
for the season, and to access credit [Michael Roth, Swiss Re]. UNDP’s human development
report also suggests that moving towards poverty reduction requires not just the generation of
growing and sustainable income streams among the poor, but also protecting these incomes
through effective risk management - a complementary, twin-track approach. It can therefore
be inferred that the resilience of the farmers and other entities in agribusiness to the weather
shocks can be strengthened if these risks can be managed efficiently through innovative risk
management mechanisms along with other investments in the sector.
1.1 The Micro Insurance Market
Taking inferences from Dr.C.K.Prahlad’s work “The fortune at the bottom of the pyramid”, it
is known that the micro insurance market per se’ operates at the bottom of the pyramid (BoP)
on the “high volumes – low margins” principle. If the “twelve principles of innovation for
BoP markets” [C.K.Prahlad, 2005] are applied to micro insurance, then following points are
essential for the micro insurance products:
1. A good quality product has to be delivered to the target customers at lower price i.e. low
premium amount.
2. Advanced technologies like smart cards, biometric cards and kiosks can be combined
with the existing infrastructure.
3. Some other benefits like in-kind benefits or other incentives can be provided with the
product.
4. The product should be delivered till the very last mile in the villages so that the poor do
not have to incur any transaction costs for accessing the product like transportation and
opportunity cost of lost wage.
5. Developing simple and easy-to-understand products and reducing the labour cost
involved by simplifying the operations.
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6. Creating consumers through education and raising awareness through innovative
mechanisms.
7. Collaborate with other organisations already present in the market and transacting with
the rural poor and leverage on their existing infrastructure for combating the greatest
challenge in the BoP markets i.e. distribution of products. This strategy not only helps in
distribution but also in cutting down the transaction costs.
1.2 Types of Weather Risk Management Instruments:
There are only a few insurance mechanisms which deal efficiently with weather risk.
Traditional, multi-peril crop insurance, often excludes systemic weather factors such as
drought. When weather is included, these traditional programs determine payouts through
loss assessments performed through costly and time consuming individual farm visits that
evaluate the damage of a weather event on a farmer’s field. In developing countries, like
India the costs associated with these types of assessments are higher, due to small farm sizes
and poor transport infrastructure.
Area Yield Crop Insurance:
The traditional area-yield based crop insurance in India was the initiative of the government
and has been into existence for the past two decades. This scheme was first launched as
Comprehensive Crop Insurance Scheme (CCIS) during 1985-1986 and was then launched as
the new and improved National Agriculture Insurance Scheme (NAIS) in the year 1999-2000.
It intends to encourage the farmers to adopt progressive farming techniques, high value and
high quality inputs along with the new and improved technology. The product attempts to
cover the whole spectrum of risks that are related to crops be it weather (Deficit or excess
rainfall, temperature, strong winds etc.), pest attacks or other environmental risks. NAIS is
delivered through rural public sector banks wherein it is tied up with the micro loans, but it is
available for both i.e. the loanee as well as the non-loanee farmers, irrespective of the size of
their land holdings. There have been a number of cases where the farmers are totally unaware
of the fact that they are insured, even if the farmers are aware they do not have the knowledge
about the various technical details of the product. This product is offered across the country
(19 states and 2 UTs) on the same premium rate whereas there is huge variation in the
amount and type of risks faced by the farmers in different parts of the country. This leads to
the problem of cross subsidisation. The claim process comprises of crop-cutting experiments
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(CCEs)1 which in particular, is a very lengthy procedure. This scheme has been criticized on
a number of aspects ranging from administrative to financial (Box 1 features the various
features and drawbacks of the scheme). The figures given in table 1 tend to reveal the
disastrous performance of the scheme which is coupled with its limited expansion in the
scope and content of crop insurance.
Table1: Performance of the area yield based crop insurance in India
S.No: Specifications (for a period of 1985-86 through
1999)
Value
1. Total premiums collected INR 4020 million
2. Total claims paid INR 23,050 million
3. Sum Insured INR 249.2 billion
4. Average per annum claims paid INR 2330 million
5. Loss Ratio (excluding the management expenses) 5.72
1 Crop Cutting Experiments: Each state/UT Government plans and conducts the requisite number of C.C.E's for all notified
crops in the notified insurance units in order to assess the crop yield. It maintains single series of C.C.E's and resultant yield estimates, both for Crop Production estimates and Crop Insurance. These C.C.Es are undertaken per unit area/per crop on the
following scale:
UNIT AREA MINIMUM NUMBER OF C.C.Es REQUIRED
Taluka / Tehsil / Block 16
Mandal / Phirka /any other smaller unit area comprising 8-10 villages
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Gram Panchayat comprising 4-5 Villages
08
If the 'Actual Yield' (AY) per hectare of the insured crop for the defined area (on the basis of required number of Crop Cutting Experiments (CCEs)) in the insured season, falls short of the specified Threshold Yield (TY), then all the insured
farmers growing that crop in the defined area are deemed to have suffered shortfall in their yield. This scheme provides coverage against such contingency. 'Indemnity' is calculated as per the following formula:
(Shortfall in Yield/Threshold yield) * Sum insured for the farmer where, { Shortfall = Threshold Yield - 'Actual yield ' for the defined Area}
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BOX 1: Features and drawbacks of the government-sponsored area yield crop insurance
scheme in India2
Index based agriculture/weather insurance3:
Weather indexed risk management products represent a newly developed alternative to the
traditional crop insurance programs for small and marginal farmers in the emerging markets.
Index-based weather insurance products are contingent claims contracts for which payouts
are determined by an objective weather parameter (such as rainfall, temperature, or soil
moisture) that is highly correlated with farm-level yields or revenue outcomes. Rainfall-
indexed insurance is a good innovative solution for regions where widespread crop losses are
caused by drought or excess rainfall. In such regions, rainfall can be used as a good proxy for
the actual losses incurred by farmers. The underlying index used for an index insurance
product must be correlated with yield or revenue outcomes for farms across a large
2 Source: A Review of Past Crop insurance Experience in India by BASIX Insurance Unit.
3 Source: World Bank, Agriculture and Rural Development
1. The product attempts to cover a whole range of risks related to crops, making it prone to
the widespread problem of moral hazard
2. The product is tied to the crop loans given by the rural public sector banking system.
3. The extent of sum insured is linked to the loan size. Because terms of the insurance
policy are sometimes not communicated properly, many borrowing farmers are unaware
that they are insured.
4. Claims are assessed by crop-cutting experiments which entail a huge expenditure,
making the administration of the product costly.
5. The claim settlement process takes a long time (from six months to two years).
6. The financial performance has been unviable, with the claims-to premium ratio as of the
2002 kharif season (June–September) at about 4.17 to 1.
7. The premium rate is uniform for a crop across the whole country, while the risk certainly
is not uniform nationwide.
8. The program’s benefit is not distributed equitably: 58 percent of the claim benefit has
gone to a state (Gujarat) whose contribution to the premium has been 16 percent.
9. The premium is subsidized. Actuarial rates are not charged.
Source: Manuamorn (2007)
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geographic area. In addition, the index must satisfy a number of additional properties that
affect the degree of confidence or trust that market participants have that the index is
believable, reliable, and void of human manipulation, implying that the measurement risk for
the index is low. The desirable feature of the index include: (i) the index construction is
transparent to policyholders, and the realization of the index verifiable to them, (ii) the
calculation of the index is free of tampering or manipulation, (iii) the distribution of the
realization of the index can be accurately estimated, so that the product can be appropriately
priced, and the expected return estimated by potential policyholders (iv) the index can be
measured at low cost, and calculated in a timely manner, and (v) the realization of the index,
or a transformation of the index, is highly correlated with household income and consumption
(vi) the index is stable and sustainable over a period of time with good historical data.
Publicly available measures of weather variables generally satisfy these properties. Index-
based insurance is less susceptible to some of the problems intrinsic in traditional multi-peril
crop insurance. Because of the fact that payouts for indexed contracts are automatically
triggered once the weather parameter reaches a pre-specified level, the insured farmers
receive timely payouts. The automatic trigger reduces administrative costs for the insurer by
eliminating the need for tedious field-level damage assessment (which exists in case of
traditional crop insurance). These features of the indexed products help in cutting down the
administrative costs, which further results in lower premiums and an affordable product for
the farmer. However, it should be kept in mind that the index-based alternatives provide
partial cover by protecting against specific perils like deficit rainfall and are therefore a part
of a complete risk management package4. The objective and exogenous nature of the weather
index prevents “adverse selection5” and “moral hazards”6 (Table 2 indicates various
advantages and challenges for index-based insurance). Indexed products also facilitate risk
transfer to the international markets, because international reinsurers are likely to provide
4 The risk management strategy comprises of formal and informal mechanisms of prevention, reduction, mitigation, coping,
and adaptation. They can be classified as ex-ante (before the event) and ex-post (after the event) and the instruments can be
market based solutions or provided by the state (public sponsored). Insurance is a predominant ex-ante formal mechanism to
manage “production risks”.
5 Adverse selection - farmers know more about their risks than the insurer, leading the low-risk farmers to opt out and
leaving the insurer with only bad risks.
6 Moral hazard - farmers’ behaviours can influence the extent of damage that qualifies for insurance payouts i.e. farmers will
always know more than the insurer about their actual yields and farm practices, they could influence farm data and output, or
only avail of the products when a claim is more likely.
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better terms when the insurance is based on measurable weather events instead of farm-level
losses.
Table 2: Advantages and Challenges of Index-Based Insurance [World Bank 2005]
Advantages Challenges
Reduced moral hazard
The indemnity does not depend on the
individual producer’s realised yield.
Basis risk7
Without sufficient correlation between the
index and actual losses, index-based
insurance is not an effective risk management
tool. This is mitigated by providing self-
insurance of smaller basis risk by the farmer;
offering supplemental products underwritten
by private insurers; blending index insurance
and rural finance; and offering coverage only
for extreme events.
Reduced adverse selection
The indemnity is based on widely available
information, so there are few informational
asymmetries to be exploited.
Precise actuarial modelling
Insurers must understand the statistical
properties of the underlying index.
Standardized and transparent structure
Insurer could apply uniform structure of
contracts.
Education
Lots of information is required by users to
assess whether index-based insurance will
provide effective risk management.
Availability and negotiability
Standardized and transparent, index-based
insurance can be traded in secondary
Market size
The market is still in its infancy in
developing countries and has some start-up
7 Basis risk is the risk of choosing a wrong base for settlement of the claim. In weather insurance, there can be two sources
of basis risks:
i) Basis risk of Weather Station – Most weather insurance policies provide for payment of claim based on the rainfall or temperature recorded at the IMD’s observatory in the district. Weather, especially the rainfall in India varies spatially as well as temporally within a small distance. Weather at the IMD’s observatory is thus
a poor proxy for the weather at the village where the insurance is given.
ii) Basis risk of cover design – Many weather insurance products are designed to provide compensation for the
adverse weather conditions irrespective of the crop sown. Also, some other weather insurance designs cover
only rainfall or deficit in rainfall. Insurance structures like these would invariably result in many occasions where farmer is getting the claim without any crop loss or not getting a claim in spite of crop losses on
account of weather conditions.
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markets. costs.
Reinsurance function
Index insurance can be used to more easily
transfer the risk of widespread correlated
agricultural production losses.
Weather cycles
Actuarial soundness of the premium could be
undermined by weather cycles that change
the probability of the insured events
Versatility
Index products can be easily bundled with
other financial services, facilitating basis risk
management.
Microclimates
Rainfall or area-yield index-based contracts
are difficult to be used for more frequent and
localized events due to microclimates.
Forecasts
Asymmetric information about the likelihood
of an event in the near future will create the
potential for inter-temporal adverse selection.
2. STUDY AREA
2.1 Dungarpur District:
As specified by the planning commission’s report on Backward Districts Initiative (BDI)
under the Rashtriya Sam Vikas Yojana (RSVY)8, the identification of various backward
districts in different states of India has been made on the basis of an index of backwardness
comprising of three parameters with equal weights assigned to each: (i) value of output per
agricultural worker; (ii) agriculture wage rate; and (iii) percentage of SC/ST population of the
districts. Three districts out of a total of thirty two in Rajasthan feature in this list of RSVY
namely, Banswara, Dungarpur and Jhalawar.
The data provided by the Directorate of Economics and Statistics, Government of Rajasthan,
reveals that Dungarpur when compared with other districts of Rajasthan features as a district
with lowest levels of per capita income, average land holding, human development index
[Chart 1, 2, 3] and simultaneously has a high percentage of population as scheduled tribes.
8 The Backward Districts Initiative under the Rashtriya Sam Vikas Yojana was initiated with the main objective of putting
in place various programmes and policies with the joint efforts of the centre and the state governments to remove barriers to growth, accelerate the development process and improve the quality of life of the people. The scheme aims at focused
development programmes for backward areas which would help reduce imbalances and speed up development. The scheme
covers 100 districts where the number of districts per state has been worked out on the basis of incidence of poverty. In addition 32 districts affected by left wing extremism are also covered.
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Though other basic infrastructural facilities are available as per the records but as far as the
accessibility and the quality of these facilities (hospitals, schools, markets etc.) is concerned
there is a lot that needs to be improved. Table 3, provides some more statistics about
Dungarpur.
Chart 1: Per Capita Income
Chart 2: Average Land Holding (Hectares)
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Chart 3: Human Development Index
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Table 3: Dungarpur district at a glance
S.No: Item Year Unit India Rajasthan
1 Gross Domestic product
At constant prices + 2007-08000
Crores Rs.3114.45(
A) 118.34(A)
2 Per Capita income at
Constant prices + 2007-08 Rs.24256
(A)16260 (A)
3 Life Expectancy At birth
(i) Male 2001-06 Years 63.9 62.2
(ii) Female 2001-06 Years 66.9 62.8
4
Vital rates based on
SRS(Estimate)
(I) Birth rate 2006 Per' 000 23.5 28.3
(ii) Death rate 2006 Per' 000 7.5 6.9
(iii) Infant mortality rate 2006 Per' 000 57 67
5 Geographical Area 2001 Lakh Sq.Km. 32.87 3.42
6 Population 2001 In Lakhs 10286.1 565.07
7 Population Density 2001 Per Sq.Km. 325 165
8
% of urban Pop. to total
Population 2001 Percent 27.8 23.4
9
% of S.C. Pop. to total
Population 2001 Percent 16.2 17.2
10
% of S.T. Pop. to total
Population 2001 Percent 8.2 12.6
11 Literacy 2001 Percent 64.8 60.4
12 No.of Bank OfficesSept.,
2007
Per Lakh of
pop. 6.3 5.6
13 Per Capita bank DepositSept.,200
7Rs. 25018 10047
14 Per Capita bank CreditSept.,200
7Rs. 17891 8170
Source: Directorate of Economics and Statistics, Govt. of Rajasthan
Dungarpur [annexure 1] as a district can be characterized by tribal habitation practising
subsistence rain fed farming on hilly and undulated terrains. This district has been divided
into five blocks i.e. Aspur, Beechiwara, Dungarpur, Saagwara and Seemalwara, of which
Aspur and Saagwara can be significantly differentiated from other three blocks in a number
of aspects ranging from socio-economic, cultural to demographic. As is evident from the
table 4, the habitation pattern in Aspur and Saagwara is totally different from the other three
blocks as majority of the villages have a mixed population comprising of communities like
A: Advance Estimates, Q: Quick Estimates
+: Base Year 1999-2000 SRS: Sample Registration System
Pop: Population
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Patidars, Tribals (Meenas), Rajputs, Jains, Brahmins, Sewaks etc. whereas most of the
villages in other blocks are completely tribal. Moreover, due to relatively plain areas in Aspur
and Saagwara, the farmers have large landholdings with most of the villages having the
advantage of canal irrigation facilities and comparatively villages in other blocks have small
and scattered land holdings because of the hilly terrain and most of the farming is rain fed.
Hence, there exists a need for innovative risk mitigating instruments alongwith sustainable
sources of income so that the quality of life and livelihoods of the residents of Dugarpur is
improved.
Table 4: Major differences between the blocks of Dungarpur district
PARAMETER ASPUR & SAAGWARA OTHER BLOCKS
COMMUNITIES Patidars, Tribals (Meena), Rajputs,
Sewaks, Jains and Others
Mostly Tribal (Meena/Bheels)
IRRIGATION Mostly canal irrigated, some of the
villages are also affected due to
water seepage in the fields through
these canals. Irrigation through
canals has benefited many villages
of the area.
Mostly rain fed.
LAND TYPE Relatively plain land with saline
soil.
Undulated hilly terrain with
acidic soil.
LAND
HOLDINGS
Relatively large land holdings.
Small and scattered
landholdings.
Source: CII
2.1.1 CII - Dungarpur Initiative
The CII - Dungarpur initiative aims at the development of the backward districts of India
through Public-Private-Community-Partnership (PPCP) by proactive business interventions.
The conceptual framework of this initiative evolved through a multi-stakeholder dialog under
the CII-UNDP India partnership forum. Annexure 2 and 3 shows that CII has managed to
rope in a lot of public and private players for the proposed development of the district.
Activities ranging from demonstration trials for different crops, quality agri-input supply,
formation of water user groups for efficient utilization of water, agri-produce marketing and
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IT education along with weather advisories are undertaken by various CII partners in
different areas of the district.
CIRM has been one of the partners in this initiative and it has identified that it is really
necessary to have some risk management infrastructure in place for the intended development
of the area. Consequently it intends to device an Index based weather insurance product for
the farming community in the district which would take care of their possible losses in the
farms. Further it wishes to study the larger issues associated in rolling out weather insurance
products for such farmers like high premium rates, basis risk, low-scale, and last but not the
least the unavailability of quality infrastructure for weather monitoring and data collection.
To delve upon all these issues it has collaborated with Weather Risk Management Services
Pvt. Ltd (WRMS) and Ingen Technologies which would take care of the weather related
technical aspects of designing such insurance.
The risk management initiative would be carried out in phase wise manner, first phase being
a pilot phase. During this, CIRM has planned to install two weather stations in the Aspur
block of Dungarpur district. These weather stations would help in generating all the relevant
data of the areas for which the weather insurance product will be launched. The next phase
would be an iteration of the first phase in a larger context whereby around 18 more stations
would be launched to cover the whole district.
2.1.2 Village Profile:
This study covers a total of four villages in Aspur block of the Dungarpur district namely,
Bodigama Bada, Oda, Pachlasa Bada and Punjpur [annexure 1]. CIRM along with its partners
intends to develop the product which suits the needs of the villagers across the five blocks of
Dungarpur and Aspur had been selected as the study area on the basis of the presence of CII
facilitators. Furthermore, the selection of the villages was done by considering the major
differences that exist in the villages across different blocks of the district. Hence, it was
imperative to assess the probable socio-economic, agricultural and demographic
characteristics of the villages in other blocks in contrast with that of the villages in Aspur and
in a way select a representative sample. As mentioned in Table 4, the villages of other blocks
are differentiated mainly by the tribal population and rain-fed farming, so villages Oda and
Pachlasa Bada were selected to conduct the study as they matched the criteria to some extent.
Villages Bodigama Bada and Punjpur could typically represent many villages of Aspur and
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Saagwara block, as these villages are inhabited by a number of communities, have proper
irrigation facilities etc. The major differences across the sample villages and the sampling
plan are shown in annexure 7 and table 5 respectively.
2.1.3 Community Profile:
• Tribal community: Dungarpur is often described as a backward tribal district; the tribal
population forms a major chunk of the total population in the district i.e. approximately
65% (census 2001 data). The tribal population, as understood from the people residing in
the villages covered under the scope of the study, when compared with other communities
are economically and socially a backward community and want to stay with their beliefs,
customs, age old practices and myths. The literacy level is relatively low in comparison
with other communities residing in the same areas. Most of the tribal farmers practice
subsistence farming and are not very convenient in adopting new farming techniques,
whereas the young generation is very enthusiastic in adopting new methods to improve
the yields. The role of women in decision making is considerable. In most of the
decisions related to household activities like marriages and sale/purchase of assets women
in the household are consulted.
• Patidars and Rajputs: The Patidars and Rajputs are the “higher castes” and are
economically better off, compared to the tribal population. People are very
entrepreneurial in nature and like to take risks when it comes to either venturing out by
opening new small businesses in nearby cities like Ahmedabad or Mumbai or opting for
sending their family members for taking up jobs in cities. Farmers of these communities
in contrast to the tribal farmers like to try new and latest farming techniques to improve
the yields and are also interested in trying new crops. The role of women in decision
making is very limited. These people have a high sense of belongingness to their
communities, as they try to maintain the status of their household at higher levels within
their community. Many farmers have the perspective that even if a household is going
through a tough time they would not like to disclose that in the community for taking
help. People would always get together for community meetings and donate for various
religious and community programs, depending on their financial condition.
24
3. OBJECTIVES
1. To conduct need analysis of farmers for the weather insurance product.
2. To develop a consumer profile of the potential users and non-users of the product by
capturing socio-economic, demographic and psychographic aspects.
3. To identify factors affecting the acceptability of the product.
4. To analyse the potential of the probable partner organisations and recommend a
suitable partner for selling the weather insurance product in the district.
4. METHODOLOGY
The methodology adopted for this study included both qualitative as well as quantitative
techniques. To capture the relevant socio-economic and demographic aspects of the villagers
for the study, a combination of various tools such as unstructured in-depth interviews, PRA
tools and focussed group discussions were used. The primary data generated through these
exercises helped in developing the questionnaire for the household survey, wherein these
qualitative findings were substantiated through a descriptive analysis.
The fieldwork in Dungarpur began in the last week of June, 2008. In the beginning brief
meetings with various community leaders of the villages helped building up the rapport
required for conducting the data generating exercises in the villages.
4.1 Qualitative Phase:
Tools used for primary data collection:
i. Unstructured & Semi-structured Interviews: During the first few days of my stay in
Dungarpur, I spent a lot of time with the villagers so as to get a clear understanding of
their culture, beliefs and attitudes. These interviews with the potential users/non-users
helped in generating a lot of information relevant to the study and in understanding
the realities at the village level.
ii. PRA Tools:
a. Social and Resource Mapping: This exercise was conducted to get a fair idea
about the communities in the village and their resource base. The social and
resource map drawn by the villagers included the various social structures,
25
institutions, location of religious or different ethnic groups residing in the
village and the presence of resources like agriculture land, water, fuel wood
etc. The purpose behind conducting the exercise was to learn about the
perception of the villagers regarding social structures in the village, the
differences among the households by ethnicity, religion, wealth, and the
access and availability of various resources. This exercise was also utilized to
locate educated households, female headed households amongst the different
hamlets or communities. [annexure 4]
b. Seasonal Matrix: This exercise was conducted to learn about changes in
livelihoods over the year and to show the seasonality of agricultural and non
agricultural workload, food availability, human diseases, gender-specific
income and expenditure etc.
c. Income and Expenditure Matrices: This tool helped in identifying and
quantifying the relative importance of different sources of income and
expenditures and to measure the vulnerability of households. [annexure 6]
d. Venn Diagrams (Institutional): This tool was specifically used to figure out
some of the important institutions and individuals that as per the perception of
the villagers are accessible and work closely with the villagers on various
issues.
e. Venn Diagrams (Village relationships): This tool was used for measuring the
various factors that affect the relationship of a particular village in terms of
level of cooperation with its surrounding villages. The specific purpose of
conducting this exercise was to figure out the impact of village relationships
on the demand for weather insurance product in the presence of Basis risk.
iii. Focused Group Discussions: The discussions were conducted with the motive of
generating more relevant information and also to triangulate the information
generated through the PRA exercises. These discussions were conducted in all the
four villages with the number of participants varying from twelve to twenty in all,
wherein the participation was dependent on different variables like the social setting,
venue for the discussion etc. The discussions helped in generating the information
primarily about the general issues, problems or shocks faced by the villagers, the role
26
or intervention of various agencies and individuals, awareness about insurance
products, factors which hinder or facilitate the adoption of the insurance products etc.
[annexure 7].
4.2 Quantitative Phase:
i. Questionnaire: Field visits to the sample villages, the results of previous PRA
exercises, exploratory interviews with the community, interaction with the active
members of the various village institutions, focussed group discussions helped in
designing final questionnaire for the household survey [Annexure 5]. The
questionnaire was designed on a questionnaire template provided by the Centre for
Insurance and Risk Management. The final questionnaire aimed at covering the
following issues:
a. The socio-economic, demographic and agriculture related aspects of the
villagers (Section I);
b. Along with their awareness about various insurance products, their response
towards the actual product concept was also recorded (Section II);
c. The details of the shocks faced by the villagers and hence the kind of
strategies adopted by them to cope up with the impact of these shocks (Section
III).
ii. Sampling Methodology: A Random Stratified Sampling method was used to take the
sample size for the household survey. Based on the number of households of each
community residing in the villages the sample size was determined. Table 5, indicates
the total number of households (350) across the four sample villages, the numbers
within the parenthesis indicates the sample size of households of that community. As
described earlier, village Oda and Pachlasa Bada were chosen as these villages had
the characteristics of the villages in the other blocks of Dungapur, so the sample size
of households from the tribal community in Pachlasa Bada was deliberately taken
disproportionately. Whereas for village Oda, which has a hundred percent tribal
population the sample size was taken on the basis of status of the family being BPL or
APL. This was done due to the fact that more than fifty percent of the households fall
in the category of below poverty line (BPL).
27
Table 5: Sampling Plan and Size for Household Survey
Village
Community
Bodigama
Bada
Oda* Pachlasa
Bada
Punjpur
Sample** U S U S U S U S
Tribals 52 10 304 75 196 60 62 10
Patidars 126 40 0 0 100 20 157 45
Rajputs 0 0 0 0 202 40 0 0
Others 103 25 0 0 59 5 96 20
Total 281 75 304 75 557 125 315 75
*Detailed sample size for village Oda: BPL: 40, APL: 35
**U: Universe of the sample; S: Actual Sample
5. ANALYSIS & RESULTS:
Conceptually, the demand for the formal insurance products depends on the individual
farmer’s willingness to pay for the insurance premium and the correlation between the actual
payouts and economic losses at the time of adverse weather conditions [World Bank]. In case
of a new product launch in the unknown territories or regions the credibility of the institution
or the vendor selling that product, in accordance with the conceptual understanding of the
product by the target consumer is supposed to be of significant importance. It is also evident
from the case of a pilot product launch by BASIX9 in some villages of Mahboobnagar district
of Andhra Pradesh that most of the farmers who did not opt for the product were not able to
understand the features of the product. Hence, it can be said that prior to the launch of a new
product in a new and unexplored BoP market, the marketeer of the product has to factor in a
number of crucial factors which reinforce each other either in a direct or an indirect manner
in influencing the decision of rural people.
9 In 2003, BASIX formed a partnership with ICICI Lombard General Insurance Company to pilot the sale of rainfall index
insurance contracts to small farmers in the Andhra Pradesh State of India. The project received technical assistance from the
Commodity Risk Management Group (CRMG) of the World Bank and was the first weather insurance initiative launched in
India and the first farmer-level weather-indexed insurance offered in the developing world. In only three years, the small
pilot program with 230 participants graduated into a large weather insurance operation. During the 2005 monsoon season,
BASIX sold 7,685 policies to 6,703 customers in 36 locations in 6 states. This successful experience sparked much broader
interest in weather-indexed insurance in India.
28
The qualitative phase of the project was undertaken to understand the existing ground
realities related to the livelihoods, agricultural practices, perceptions and other psychographic
aspects of the farmers residing in the study area. The participatory approach followed for the
data collection of the qualitative phase really proved to be beneficial in providing various
insights into the lives of the farmers which further was utilised in designing the tools for the
quantitative phase.
5.1 Qualitative Phase - Findings
•••• Product awareness impacts demand
During the various exercises conducted under the qualitative phase, it was observed that the
demand for the formal insurance products depends largely on the awareness about these
products. Awareness is influenced by the eagerness of communities to collect and gather
knowledge about the new schemes and products launched in the villages for their benefits,
followed by the literacy in communities and also the network of the village with the nearby
markets and towns. It became evident due to the fact that many of the farmers belonging to
the communities such as Patidars, Rajputs or Jains were very well aware of the various
insurance products , whereas the awareness levels about these products appeared to be very
low amongst the tribal farmers of the same village who were also participating in the same
exercises.
Social and cultural factors might influence the awareness levels of the farmers, but
educational qualification proved to be another deciding factor when it was analysed that
many of the tribal farmers of village Oda (where the literacy rate is higher as compared to the
other tribal villages of the area) had bought atleast one insurance product in the past few
years. Farmers were well aware of the concept of life and health insurance and some of the
farmers had bought life insurance products for each member of the household. Furthermore,
the connectivity, approachability of the village with other nearby towns, markets, highways
were also found to be one of the factors influencing the awareness levels of the farmers.
Easily accessible villages like Punjpur, which lie on the state highway, are well connected
with towns such as Aspur, Dungarpur, which enables easy information flow from the nearby
towns. A local market has developed in village Bodigama Bada over a period of time which
serves as the sole market for the surrounding 10-12 villages of that area, all the activities,
29
trade from different parts of the block helps the village with a lot of information flow and
sharing.
•••• Accessibility of the vendors is important to farmers
Farmers also revealed that the accessibility of the vendor or the agent selling the insurance
product is very important to them. As per the farmers, the dissemination of information by
the representatives of the organisation regarding the technical knowledge about the product,
weather advisories, and other relevant information about the payouts, claims processing and
product features are important due to the fact that if the information availability is nearer to
the village then building trust between both sides is easier. A number of farmers also believed
that a faithful relationship can be developed with the company or their representatives if a
repeated number of pro farmer transactions are carried out over a period of time.
•••• Risk management strategies determine the need for the product
It was also realised that the array of current risk management strategies which are adopted by
the households might be a deciding factor in adopting the weather insurance product. During
the discussions, a few of the farmers were of the view that there is no need to increase the
household expenditure by buying the weather insurance product as most of the times they
were able to manage the impact of the shock by adopting certain kinds of informal
mechanisms. These mechanisms included migration during lean periods, having an
alternative source of income, maintaining buffer stocks, cutting down on expenditure or food
intake by the family members, sharing the food with their livestock, accessing credit through
various channels and many more. These strategies could either be classified as ex-ante or ex-
post strategies.
•••• The Consumer Behaviour
Analysing the factors that influence the adoption of the weather insurance product through a
marketing perspective also helped in getting various insights about the potential consumer’s
buying behaviour. As described earlier that cultural factors certainly have an impact on
demand for the product, wherein the culture particular to a particular community, the shared
values, perceptions and behaviours of the people of a particular community direct the buying
behaviour of the potential customers i.e. farmers. Moreover, one of the findings of the
focussed group discussions was the influence of various social factors on the demand. A very
30
less number of farmers of the Patidar and Rajput community revealed that one’s status and
role in the society and more so within the community is also one of the determining factors to
buy the weather insurance product. In a typical Indian village all the households of a
particular community are located in each other’s vicinity, where every household has the
knowledge about other households and therefore as per the villagers, maintaining the status or
trying to match up with the other households in terms of lifestyle, associations, groups etc
becomes very important. For example, if some of the farmers of a particular community opt
to buy the insurance product, then it becomes imperative in one way or other for the fellow
farmers of the community to follow suit.
Figure 1: Social factors influencing consumer buying behaviour
Some of the farmers in villages like Bodigama Bada and Punjpur, who have had the
exposure to the weather insurance product of AICL and who can be termed as “risk-takers”
prefer buying the insurance from a gambling perspective or would buy the product if the
results of the previous season are positive i.e. if payouts are made by the insurer for the
previous season (psychological factors). This category of the farmers also include farmers
who don’t have a proper understanding of the product, they buy the product to bet on a
rainfall level and if the realised level of rainfall is below the specified level, they receive the
payout. Furthermore, it was realised that there is a considerable increase in the number of
farmers buying the product if the results for the previous season are positive and payouts are
declared for that region and the same is true for vice-versa. That is to say, if the results for a
particular season are not positive and there are no payouts then the number of farmers opting
to buy the insurance would be lesser as compared to that of the previous season.
2. deposit in post office including national saving scheme deposits
3. deposit in co-operative society/Co-operative bank
4. deposit in commercial bank (SBI, Regional Rural Bank etc)
5. Deposit in self-help group (SHG)
6. Pensions/provident fund
7. cash in hand (At least Rs.500 per month)
8. other financial assets
II. Insurance – knowledge, use and attitude
1. What is the level of knowledge about insurance services?
S.no Response
Tick appropriate
boxes
1. Have you ever heard/read about any insurance service?
If yes, then please tell me if you have ever heard/read about the
following insurance service
2. Health (including illness and accidents)
3. Life (death and disability)
4. Property
5. Crop Insurance (Weather/Rainfall Insurance)
6. Livestock Insurance
2. Have you or any of your family members had a voluntary insurance policy during the
last 15 years? 0 – No
1 – Yes (used to have or have now) 99 – hard to say
2.1 Why not? Please tick on the appropriate reason that the farmer provides.
S.no Response
Tick appropriate
boxes
1 I have never heard of insurance
2 I do not have enough information about insurance
products
3 I do not know how insurance works
4 I do not know where to find insurance
5 I think the insurance agents are too far from the place I
live
59
6 My household has not needed insurance because we can manage problems ourselves
7 I think nothing serious will happen to my family or me
8 I find insurance too expensive
9 I understand that insurance claim realization process is a
very long process
10 I do not trust insurers; I have heard that they do not pay
back.
11 I do not have trust in insurer - heard that insurers do not
pay (manipulate with conditions, etc.)
12 I do not trust insurance companies; they may run away
stealing my money.
13 I do not trust insurance companies, they may go bankrupt
Weather Insurance: Product Concept
Product concept – Weather Insurance
SURVEYOR PLEASE READ:
I would like to talk to you about weather insurance. Choosing to buy weather insurance is a
way to protect one from financial shocks related crop failure due to vagaries of weather. I will read you a concept of a new Weather insurance product, and then I would like to ask for
Coverage: The maximum sum insured would be equal to the cost of cultivation as mentioned
in the table above.
Benefit: The product will cover the risk due to both excess and deficit rainfall. Claim processing: within 30 to 45 days from the day certified data is released. This generally
takes between 15 to 20 days. Proximity: The service will be available in the nearest village. The payouts will be made on
the basis of a weather station which is located within a radius of 5 to 10 kms.
D1. Do you think you need such a product?
1 – Definitely do not need the product 2 – May need the product sometimes
3 – Definitely need the product
60
D2. What do you think about product features?
Sno Item Rating
Strongly
dissatisfied
Somewhat
dissatisfied
Neither
agree nor
disagree
Satisfied Strongly
satisfied
1 The coverage of the
product is adequate
2 Amount obtained is
reasonable
3 The premium is
reasonable
4 Claim processing is easy
5 Provider is trustworthy
6 The provider is located
close by
D3. How willing would you be to buy this product?
1 – Definitely not willing –
2 – Rather not wiling –
3 – Rather willing
4 – Definitely willing
99 – Hard to say (do not read)
D4. Would you recommend this product to your relatives and friends?
1 – Definitely no
2 – Rather no
3 – Rather yes 4 – Definitely yes
99 – Hard to say (do not read)
ASK ONLY TO THOSE WHO ARE WILLING TO BUY
D5. Which crops would you like to insure?
2-Wheat 3-Paddy
4-Maize
5-Gram
6-Guar
7-Barley
8-Moong
9- Soyabean
99 – Hard to say (do not read)
D6. Where would you prefer to buy this insurance?
1 - Local farmer of the same village
2 - Local farmer from a nearby village
3 - Local trader (Baniya)
4 - Local PCO operator 5- PEDO (Mada sanstha)
61
99- Others (please specify).
D7. Where would you like to have all the relevant information regarding this product?
1 – Consultancy from local farmer/ trader
2 – Consultancy from NGO (Mada sanstha)
3 – Audio visuals
4 – Pamphlets/Newspaper/Posters
D8. If there are no payouts, then what would you do for the next season?
1-Buy the insurance once again 2-Would not buy it for next season
3- Don’t know
ASK ONLY TO THOSE WHO ARE NOT WILLING TO BUY
D9. And if the premium is lowered to Rs.___ per crop, how willing would you be to buy
the product?
0 – I will not change my decision
1 – I may reconsider my decision
2 – I would be willing to buy it
D10. Which crops would you like to insure? 2-Wheat
3-Paddy
4-Maize
5-Gram 6-Guar
7-Barley 8-Moong
9- Soyabean 99 – Hard to say (do not read)
D11. Is there any price at which you will change your decision and decide to buy?
0 – No, I am not interested at all
Yes, the price is [_____________] Rs. per crop
62
III. Shock /Risk Survey
1. In the past some years, has this household been affected by a shock (Tick the CODE
of the appropriate shock)—an event that led to a reduction in your asset holdings,
caused your household income to fall or resulted in a significant reduction in
consumption? We would like to learn more about these events.
During last
12 months
period
During last 1-
5 years
period
6 to 15 years
ago
1. Has there
been a weather
or environmental
shock?
Drought
Too much rain or flood
Hailstorm
Pests or diseases and
others
2. From the following given strategies (Ex-ante), what strategies does this
household adopt to avoid the impact of these shocks before they actually occur? Please
tick the appropriate response.
S.No Strategy Never Sometimes Everytime
1. Migrated to other regions
2. Children or other family
members went to work
along with deliberate
reduction in
consumption expenditure
3. Produce differents goods
or perform different
activities at the same
time (Diversify
production or activities)
4. Saved money
5. Saved food grains
63
3. From the following given coping mechanism strategies (Ex-post), what strategies
does this household do to reduce the impact of the shock, if it has already occurred?
Please tick the appropriate response.
S.No Strategy Never Sometimes Everytime
1- Migrated to other regions
2- Children or other family members went to work
along with deliberate reduction in consumption
expenditure
3- Asked for a cash loan
from family member, a friend, moneylender or
work
4- Spent savings or
investments
5- Pawned goods
6- Sold livestock or assets
7- sold house or land
8- Reduce food
consumption or stop
consuming some products
or services
9- Applied for a cash loan
from a bank
10- Take help from
government organizations
11- Take help from NGOs
12- Borrowed from MFI/ Co-
operative Society
13- Didn’t do anything
-----------------------------------------------End of the questionnaire------------------------------------
Source: IFMR – CIRM
64
Annexure 6
Income/Expenditure mapping: All the participants were told to divide themselves into three
groups of poor, middle income and rich households and each group was supposed to identify
its representative. Groups were made to hypothesize a situation where the
income/expenditure of the whole village is Rs.100 per month, and they were supposed to
divide this sum into three different categories of households across various sources of
income/expenditure. Further a mean of all the numbers for all the three categories was taken
to figure out the similarities or differences in the sources of income/expenditure across the
villages. The purpose for taking the mean for all household categories was only to get an
indication of the type of income and expenditure of the villagers.
From the income mapping exercise [table 8] it was inferred that the chief source of cash
inflow in all the four villages was agriculture and livestock rearing, whereas different
alternative sources of cash inflow emerged for all villages. While observing the cash inflow
from NREGS, it becomes evident that ODA and Pachlasa Bada (both having a large tribal
population) have a larger share than Punjpur and Bodigama Bada (Mixed population, mostly
Patidars) for which the secondary source of inflow falls into the category of
migration/labour/jobs. This is due to the fact that many people from the Patidar community
are either self employed in different small businesses in cities like Ahmedabad and Mumbai
or prefer to take up jobs in these cities.
Table 8: Monthly Cash Inflow Chart for Villagers (all the figures are mean values in
INR terms)
Villages
Agriculture
and
Livestock
NREGSMigration/
Labour/jobsOthers
ODA 13.33 6.67 5.00 8.33
Pachlasa
Bada 14.67 4.33 4.67 9.67
Punjpur 16.67 3.33 10.67 2.67
Bodigama
Bada 15.00 3.33 11.67 3.33
The expenditure mapping exercise [table 9] revealed that a large some of expenditure for the
villagers from their income goes towards household activities and their lifestyle, which
includes expenses incurred towards food, transport, clothes etc. Interestingly, it was observed
that a lot of cash outflow was towards the social activities like, festivals, religious activities,
65
marriages etc. If the cash outflow towards education is analysed it can be said that a lot of
findings from the FGDs were triangulated, wherein it is evident that amongst the tribal
villages, the cash outflow of Oda (high literacy rate) towards education is comparable to that
of other villages like Bodigama Bada and Punjpur. All these findings were substantiated by a
descriptive analysis of data collected through the questionnaire [Chart 9, 10, 11].
Table 9: Monthly Cash Outflow Chart for Villagers (all the figures are mean values in
INR terms)
Villages
Agriculture
and
Livestock
EducationHousehold
Expenses
Social
Purposes
ODA 8 5 13.33 16
Pachlasa
Bada 6.67 3.33 16.67 10
Punjpur 10 6.67 6.67 15
Bodigama
Bada 6.67 5 10 7.5
Chart 9: Expenses on household activities and lifestyle
66
Chart 10: Expenses on social purposes
Chart 11: Expenses on agricultural and livestock rearing purposes
67
Annexure 7
Details of FGDs
Set of questions:
i. What are the main activities of the villagers?
ii. What are the main problems faced by the villagers?
iii. What are the different shocks you are exposed to- Weather, Health, Life, Market,
Property and others?
iv. Are there any Government or non-governmental interventions/projects in your
community? Are you satisfied with them- why or why not?
v. How do you manage these shocks- do you prepare for these shocks beforehand or
do you just cope with it?
vi. What are the impacts of those shocks?
vii. What are the various things you do in case the event happens?
viii. In your opinion what do you think are the three biggest problems of the village?
ix. Do you know about Insurance and its benefits? Why/Why not?
Participants: The group comprised of both adult men and women, where the group size was
15-18 people.
68
Comparison of villages: The comparison of the four villages covered under the study on the
basis of the standard set of questions asked in the discussions is as follows: