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1
Institut de Sosteniblitat
Elena Poli
1
2
3
4
5
Results, Contributions and Limitations
Methodology
Social Capital: case study of rural India
Problem Statement, Objectives and Hypothesis
Conclusions and Further Research
Presentation Contents2
3
1
2
3
4
5
Problem Statement
ECONOMIC
SOCIAL
ENVIRONMENTAL
Environmental Degradation
Social exclusion
Challenges faced by
SMALLHOLDER FARMERS IN
DEVELOPING WORLD
Production constraints
Unsustainable farming
practices
Free-riding of privatized
natural resources
Climate change
85% of farms worldwide
75% world’s hungry and
undernourished Gender & minorities
Cultural restrictions
Land rights/extension
Lack of access to resources
Low productivity
Low profit and investment
4
Hypothesis
FARMER
RURAL
SOCIETY
ENVIRONMENT
Natural Capital Preservation
Collective empowerment
Improve Performance
Bottom-up innovation
Sustainable use through
Collective Responsibility
Sustainable, zero-cost
& locally based Building of grassroots
institutions
Empowerment of
disadvantaged groups
Higher Productivity,
Efficiency
Reduced Vulnerability
How can Social
Capital help?
1
2
Hypothesis
Hypothesis
1
2
3
4
5
5
250 semi-structured interviews to smallholder
cotton farmers in 9 villages in Wardha District
Support of Wardha’s Agricultural College
Household survey, a rapid rural appraisal and
stakeholder workshops used for data collection
Data: farm production, farmers’ constraints and
farmers’ Social Capital
Study Location
Agronomic
Environment
Social
Analysis
Empirical
Research
1
2
3
4
5
6
1
2
3
4
5
MEAN STD MIN MAX
24%
GENDER
Percentage of farmers
interviewed are women
20%
REPRESENTATIVENESS
250 farmers in 9 villages
100-150 farm households
30 farmers interviewed
68%
COTTON
Percentage of cotton on
total cultivated area.
Farm income: 80% of
household income
55%
IRRIGATION
Percentage of irrigated
lands: bore-dug wells
YIELD
(Qtl) 14.9 8.1 1.5 50
LAND
(acre) 2.91 1.04 1.00 5.00
SEEDS
(Rs.) 5,481 3,205 930 32,790
FERTILIZER
(Rs.) 6,561 5,266 0.00 40,750
PESTICIDE
(Rs.) 2,431 2,149 0.00 15,000
LABOUR
(Rs.) 19,017 10,849 0.00 72,000
NET INCOME
(Rs./Qtl) 1,401 968,5 -649 3450
EDUCATION
(years) 7.6 4.4 0 15
AGE
(years) 46.3 13.5 20 98
Sample Characteristics
7
What is Social Capital? and how to measure it?
Social
Capital
PRODUCTION INFORMATION
TRUST MUTUALITY
Likert scale:
0 to 10
25 Survey
Questions
1
2
3
4
5
Social Capital = “networks, norms, and trust, that facilitate
coordination and cooperation for mutual benefit“ (Putnam, 1993)
“Integrated
Questionnaire
for the
measurement
of Social
Capital”
8
Average Social Capital score: 4,8
6,5
TM
2,1 6,5 6,2
CP
IS
Trust &
Mutuality
Information
Sharing
Collective
Production
Collective Production
Joint input acquisition and marketing
produce, share of labour force,
collective soil & water conservation
Information Sharing
Capacity of farmers to generate,
find and share valuable technical
information
Trust & Mutuality
Inter-caste collaboration, mutual
support and volunteership/cooperation
in community activities
Principal component Analysis
?
!
Social
Capital
What is Social Capital? and how we measured it?
1
2
3
4
5
Research Scheme9
Social
Capital
Efficiency
Analysis
Risk
Analysis
Descriptive
Analysis
Research contribution
Community
& Local Rural
Development
1
1
2
3
4
5
10
Farmers’ production constraints
Social exclusion in resources access
Social Capital characteristics
Descriptive Data Analysis
Descriptive
Analysis
Socio-economic
Analysis
--------------
--Multiple Linear
Regression
--------------
Factor Analysis
1
2
3
4
5
METHODOLOGY
Networks, institutions and shared rules
11
Analyse the effects of social capital
on farm productivity and riskiness
(Just and Pope, 1979)
Analyse the contribution of social
capital to farm productive efficiency
(Battese and Coelli, 1992)
q = 𝒇 𝒙 𝟏, 𝒙 𝟐, … 𝒙 𝑵 + 𝒗 − 𝒖
Deterministic
component
noise
𝑦=𝑓 (𝑥, 𝛼)+𝑔 (𝑥, 𝛽) 𝜀
Output
Level
Variability
of Output
Inefficiency
Efficiency
Analysis
Social Capital
as input
variable
Maximum Likelihood SAS, Frontier, STATA
Stochastic frontier
production function
Just & Pope
production function
Quantitative Data Analysis
Risk
Analysis
Social CapitalSocial Capital
METHODOLOGY
1
2
3
4
5
12
Results
1
2
3
4
5
13
RESULTS
Efficiency Analysis
Input Elasticity Std
Seed 2.226 *** 0.244
Labour 1.083 *** 0.108
Fertilizer 0.583 *** 0.103
Land 0.277 *** 0.107
Pesticide 0.097 *** 0.024
Education 0.012 ** 0.003
CP 0.037 *** 0.002
IS -0.00056 0.001
TM 0.0024 0.002
Input Elasticity Std
CP -0.077 *** 0.023
IS -1.024 *** 0.318
TM -0.565 ** 0.237
Education -0.090 ** 0.039
Female dummy -0.044 0.180
Social (CP + IS + TM)
x Education
0.008 ** 0.002
Social (CP + IS + TM)
x Age
0.001** 0.000
Elasticity of inputs
Stochastic frontier production function
Elasticity estimates
Elasticity of inputs
Technical Inefficiency Model
?
!
?
!
Social Capital raises productive efficiency of
LESS EDUCATED and LESS
EXPERIENCED/YOUNGER FARMERS.Tested for Exogeneity and Multicollinearity
1
2
3
4
5
14
**. Correlation is significant at the 0.01 level and * at the 0.05 level.
Spearman’s
correlation
RESULTS
0,135*
Farmer
Education
0,282**
-0.221**
Productivity
Qtl/acre
Expenses
Cost /Qtl
Collective
Production
0,371**
Information
Sharing
0,458* 0,321**
Trust &
Mutuality
0,568**
?
!
0,207**0,210**
-0,852 ** -0,277 **-0,145
0.554**
Social
Capital
0,426**
-0.566**
Efficiency
Land/Qtl
-0.566**
Seed/Qtl
-0.581**
Fertil/Qtl
-0.414**
Pestic/Qtl
-0.316**
Labor/Qtl
-0.779**
Inputs
Efficiency Analysis
Correlation Scores
1
2
3
4
5
Risk Analysis15
01 02
Social Capital is
“Productivity-increasing”
Social Capital is
“Risk-Increasing”
RESULTS
1
2
3
4
5
Social Capital is “productivity-increasing”
16
“ Frequency distribution
of farm’s produce shows the
positive impact of Social
Capital on productivity
levels “
Mean 4.1 Variance 4.8
SOCIAL
CAPITAL
below the
median
01
1,75%15,23%
5,42%3,4%
Productivity distribution
is wider and flatter
Numberoffarmers
Qtl per acre
Greater ranges and
higher variability of scores
Higher Social Capital owns
potentials for higher returns
SOCIAL
CAPITAL
above the
median
Mean 4.9 Variance 5.8
Numberoffarmers
Qtl per acre
1
2
3
4
5
Numberoffarmers
Social Capital is “risk-increasing”
“Risk-increasing effect of
social capital reflects an
impact on the upside risk,
responding to the probability
of gaining something rather
than losing“
70,55%29,45%
Mean 3.8 Variance 36.1
17
SOCIAL
CAPITAL
below the
median
Greater variability of output
Numberoffarmers
Much greater probability of
obtaining higher results than
expected
Higher level of Upside Risk
SOCIAL
CAPITAL
above the
median
Mean 14.7 Variance 45.5
02
93,24%6,76%
1
2
3
4
5
18
Summary of Results
Especially
“Collective
Production”
Especially
“Information
Sharing”
Augmenting “positive
risk” of achieving better
results than expected
01 PRODUCTIVITY
INCREASING
02 EFFICIENCY
INCREASING
03 UPSIDE RISK
INCREASING
1
2
3
4
5
Can Social Capital be a Rural Development Tool?
Farmers’ social capital as a policy resource for community
development in the rural areas
19 Sahaj Krishi – Grassroots Agric. Project
1
2
3
4
5
INNOVATIVE PROD. TECHNIQUES
2011 20.000 Indian farmers participating
(830 centers in Maharashtra)
2015 Techniques researched and applied by ICAR
(Indian Council for Agricultural Research)
Ancient knowledge of yoga and
farmers’ connection to natural
environment - holistic approach
to agriculture
TRUST & MUTUALITY
INFO SHARING
COLLECTIVE ACTION
Project started by few Maharashtran farmers2005
20
Social capital and Rural Development Policy
1
2
3
4
5
Policy:
Provide COMMUNITY
RESOURCES and improve
MARKET EFFICIENCY
Farmer organizations
farmers‘ integration
markets & value chains
Farmers’
COLLECTIVE
PRODUCTION
Policy:
FARM INNOVATION and
KNOWLEDGE EXCHANGES
Farmers – Researchers
Extension services
Bottom-up innovation
& problem-solving
 pools of local expertise
Farmers’
INFORMATION
SHARING
Policy:
CROSS-CUTTING TIES and
COLLECTIVE ACTION
HETEROGENEOUS
NETWORKS
Virtuous circle: :
higher trust, cooperation,
civic engagement &
collective well-being
Farmers’
TRUST and
MUTUALITY
21 Limitations and drawbacks of Social Capital
Social Capital is a RESOURCE which is not easy to CREATE
Once created, there is NO ASSURANCE it will last long
Non-monetary COSTS in building an infrastructure of trust, reciprocity and
civic engagement
RISKY to TRUST ON OTHERS, SHARE one's own information and knowledge
Not “one-size fits all” strategy for Policy: participative, bottom-up, user-led
Drawbacks of PARTICIPATORY DESIGN: complex and time-consuming
Advantages?
1
2
3
4
5
22
FARMER
FARMING
COMMUNITY
RURAL
SOCIETY
SUSTAINABLE AGRICULTURE:
Empowered communities
Environmentally accountable
societies
Participative governments
Sustainable supply chains
Reduce transaction costs
Increase access to
market and resources
BENEFITS OF A STRONG SOCIAL CAPITAL
Improve individual
performance
Reduce vulnerability
1
2
3
4
5
CONCLUSIONS
CONCLUSIONS
23
ECONOMIC SOCIAL
ENVIRONMENTAL
Sustainable, zero-cost & locally based
BENEFITS of investing in
SOCIAL CAPITAL RESOURCES
1
2
3
4
5
Directions for further research on Social Capital24
Smallholders’
Performance
Replicate in other
settings, countries
and cultures.
Cross section /Time
series data
Measure effects
of social capital on
the efficiency of
whole local
system
Identify
institutional bodies
supporting Social
Capital building &
monitor their
long-term results
Measure positive
externalities of
social capital stock
on environmental
impact of
agriculture
24
1
2
3
4
5
Rural
Development
Policy Environmental
Sustainability
Resulting Academic Papers25
Under first
and second
round review
Non-parametric
Efficiency Analysis
Serra, T. and E. Poli, 2015.
Shadow prices of social
capital in rural India, a
nonparametric approach.
European Journal of
Operational Research 240
(3): 892-903.
Indian Smallholders
Rural Development
Poli, E.; Serra Devesa, T. and J.M. Gil
Roig, 2013. Potential and constraints of
employing agricultural biotechnology
as a development tool: GMO
cultivation and Indian smallholder
farmers. Revista Española de Estudios
Agrosociales y Pesqueros, 235: 33-59.
Parametric
Efficiency Analysis
Poli, E. and T., Serra,
2015. Social capital and
farmers’ production risk
in developing countries,
the case of india. (Oxford
Development Studies)
Risk
Analysis
Socio-economic
Analysis
Poli, E. , Serra, T., and A.
Sharma, 2015. The role
of social capital in
improving technical
efficiency of Indian
agriculture. (Journal of
Development Research)
Poli, E., and Gil M.J, 2015.
Social capital in Indian
smallholder agriculture:
empirical analysis of its
potentials for rural
development. (Journal of
South Asian Development)
1
2
3
4
5
THANK
YOU
26
“Agriculture can be fruitful
only through co-operation”
“Mahatma” Gandhi
27
Institut de Sosteniblitat
Elena Poli

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Can social capital help Indian smallholder farmers? Analysis of its impact on rural development, agricultural efficiency, production and risk.

  • 2. 1 2 3 4 5 Results, Contributions and Limitations Methodology Social Capital: case study of rural India Problem Statement, Objectives and Hypothesis Conclusions and Further Research Presentation Contents2
  • 3. 3 1 2 3 4 5 Problem Statement ECONOMIC SOCIAL ENVIRONMENTAL Environmental Degradation Social exclusion Challenges faced by SMALLHOLDER FARMERS IN DEVELOPING WORLD Production constraints Unsustainable farming practices Free-riding of privatized natural resources Climate change 85% of farms worldwide 75% world’s hungry and undernourished Gender & minorities Cultural restrictions Land rights/extension Lack of access to resources Low productivity Low profit and investment
  • 4. 4 Hypothesis FARMER RURAL SOCIETY ENVIRONMENT Natural Capital Preservation Collective empowerment Improve Performance Bottom-up innovation Sustainable use through Collective Responsibility Sustainable, zero-cost & locally based Building of grassroots institutions Empowerment of disadvantaged groups Higher Productivity, Efficiency Reduced Vulnerability How can Social Capital help? 1 2 Hypothesis Hypothesis 1 2 3 4 5
  • 5. 5 250 semi-structured interviews to smallholder cotton farmers in 9 villages in Wardha District Support of Wardha’s Agricultural College Household survey, a rapid rural appraisal and stakeholder workshops used for data collection Data: farm production, farmers’ constraints and farmers’ Social Capital Study Location Agronomic Environment Social Analysis Empirical Research 1 2 3 4 5
  • 6. 6 1 2 3 4 5 MEAN STD MIN MAX 24% GENDER Percentage of farmers interviewed are women 20% REPRESENTATIVENESS 250 farmers in 9 villages 100-150 farm households 30 farmers interviewed 68% COTTON Percentage of cotton on total cultivated area. Farm income: 80% of household income 55% IRRIGATION Percentage of irrigated lands: bore-dug wells YIELD (Qtl) 14.9 8.1 1.5 50 LAND (acre) 2.91 1.04 1.00 5.00 SEEDS (Rs.) 5,481 3,205 930 32,790 FERTILIZER (Rs.) 6,561 5,266 0.00 40,750 PESTICIDE (Rs.) 2,431 2,149 0.00 15,000 LABOUR (Rs.) 19,017 10,849 0.00 72,000 NET INCOME (Rs./Qtl) 1,401 968,5 -649 3450 EDUCATION (years) 7.6 4.4 0 15 AGE (years) 46.3 13.5 20 98 Sample Characteristics
  • 7. 7 What is Social Capital? and how to measure it? Social Capital PRODUCTION INFORMATION TRUST MUTUALITY Likert scale: 0 to 10 25 Survey Questions 1 2 3 4 5 Social Capital = “networks, norms, and trust, that facilitate coordination and cooperation for mutual benefit“ (Putnam, 1993) “Integrated Questionnaire for the measurement of Social Capital”
  • 8. 8 Average Social Capital score: 4,8 6,5 TM 2,1 6,5 6,2 CP IS Trust & Mutuality Information Sharing Collective Production Collective Production Joint input acquisition and marketing produce, share of labour force, collective soil & water conservation Information Sharing Capacity of farmers to generate, find and share valuable technical information Trust & Mutuality Inter-caste collaboration, mutual support and volunteership/cooperation in community activities Principal component Analysis ? ! Social Capital What is Social Capital? and how we measured it? 1 2 3 4 5
  • 10. 10 Farmers’ production constraints Social exclusion in resources access Social Capital characteristics Descriptive Data Analysis Descriptive Analysis Socio-economic Analysis -------------- --Multiple Linear Regression -------------- Factor Analysis 1 2 3 4 5 METHODOLOGY Networks, institutions and shared rules
  • 11. 11 Analyse the effects of social capital on farm productivity and riskiness (Just and Pope, 1979) Analyse the contribution of social capital to farm productive efficiency (Battese and Coelli, 1992) q = 𝒇 𝒙 𝟏, 𝒙 𝟐, … 𝒙 𝑵 + 𝒗 − 𝒖 Deterministic component noise 𝑦=𝑓 (𝑥, 𝛼)+𝑔 (𝑥, 𝛽) 𝜀 Output Level Variability of Output Inefficiency Efficiency Analysis Social Capital as input variable Maximum Likelihood SAS, Frontier, STATA Stochastic frontier production function Just & Pope production function Quantitative Data Analysis Risk Analysis Social CapitalSocial Capital METHODOLOGY 1 2 3 4 5
  • 13. 13 RESULTS Efficiency Analysis Input Elasticity Std Seed 2.226 *** 0.244 Labour 1.083 *** 0.108 Fertilizer 0.583 *** 0.103 Land 0.277 *** 0.107 Pesticide 0.097 *** 0.024 Education 0.012 ** 0.003 CP 0.037 *** 0.002 IS -0.00056 0.001 TM 0.0024 0.002 Input Elasticity Std CP -0.077 *** 0.023 IS -1.024 *** 0.318 TM -0.565 ** 0.237 Education -0.090 ** 0.039 Female dummy -0.044 0.180 Social (CP + IS + TM) x Education 0.008 ** 0.002 Social (CP + IS + TM) x Age 0.001** 0.000 Elasticity of inputs Stochastic frontier production function Elasticity estimates Elasticity of inputs Technical Inefficiency Model ? ! ? ! Social Capital raises productive efficiency of LESS EDUCATED and LESS EXPERIENCED/YOUNGER FARMERS.Tested for Exogeneity and Multicollinearity 1 2 3 4 5
  • 14. 14 **. Correlation is significant at the 0.01 level and * at the 0.05 level. Spearman’s correlation RESULTS 0,135* Farmer Education 0,282** -0.221** Productivity Qtl/acre Expenses Cost /Qtl Collective Production 0,371** Information Sharing 0,458* 0,321** Trust & Mutuality 0,568** ? ! 0,207**0,210** -0,852 ** -0,277 **-0,145 0.554** Social Capital 0,426** -0.566** Efficiency Land/Qtl -0.566** Seed/Qtl -0.581** Fertil/Qtl -0.414** Pestic/Qtl -0.316** Labor/Qtl -0.779** Inputs Efficiency Analysis Correlation Scores 1 2 3 4 5
  • 15. Risk Analysis15 01 02 Social Capital is “Productivity-increasing” Social Capital is “Risk-Increasing” RESULTS 1 2 3 4 5
  • 16. Social Capital is “productivity-increasing” 16 “ Frequency distribution of farm’s produce shows the positive impact of Social Capital on productivity levels “ Mean 4.1 Variance 4.8 SOCIAL CAPITAL below the median 01 1,75%15,23% 5,42%3,4% Productivity distribution is wider and flatter Numberoffarmers Qtl per acre Greater ranges and higher variability of scores Higher Social Capital owns potentials for higher returns SOCIAL CAPITAL above the median Mean 4.9 Variance 5.8 Numberoffarmers Qtl per acre 1 2 3 4 5
  • 17. Numberoffarmers Social Capital is “risk-increasing” “Risk-increasing effect of social capital reflects an impact on the upside risk, responding to the probability of gaining something rather than losing“ 70,55%29,45% Mean 3.8 Variance 36.1 17 SOCIAL CAPITAL below the median Greater variability of output Numberoffarmers Much greater probability of obtaining higher results than expected Higher level of Upside Risk SOCIAL CAPITAL above the median Mean 14.7 Variance 45.5 02 93,24%6,76% 1 2 3 4 5
  • 18. 18 Summary of Results Especially “Collective Production” Especially “Information Sharing” Augmenting “positive risk” of achieving better results than expected 01 PRODUCTIVITY INCREASING 02 EFFICIENCY INCREASING 03 UPSIDE RISK INCREASING 1 2 3 4 5 Can Social Capital be a Rural Development Tool? Farmers’ social capital as a policy resource for community development in the rural areas
  • 19. 19 Sahaj Krishi – Grassroots Agric. Project 1 2 3 4 5 INNOVATIVE PROD. TECHNIQUES 2011 20.000 Indian farmers participating (830 centers in Maharashtra) 2015 Techniques researched and applied by ICAR (Indian Council for Agricultural Research) Ancient knowledge of yoga and farmers’ connection to natural environment - holistic approach to agriculture TRUST & MUTUALITY INFO SHARING COLLECTIVE ACTION Project started by few Maharashtran farmers2005
  • 20. 20 Social capital and Rural Development Policy 1 2 3 4 5 Policy: Provide COMMUNITY RESOURCES and improve MARKET EFFICIENCY Farmer organizations farmers‘ integration markets & value chains Farmers’ COLLECTIVE PRODUCTION Policy: FARM INNOVATION and KNOWLEDGE EXCHANGES Farmers – Researchers Extension services Bottom-up innovation & problem-solving  pools of local expertise Farmers’ INFORMATION SHARING Policy: CROSS-CUTTING TIES and COLLECTIVE ACTION HETEROGENEOUS NETWORKS Virtuous circle: : higher trust, cooperation, civic engagement & collective well-being Farmers’ TRUST and MUTUALITY
  • 21. 21 Limitations and drawbacks of Social Capital Social Capital is a RESOURCE which is not easy to CREATE Once created, there is NO ASSURANCE it will last long Non-monetary COSTS in building an infrastructure of trust, reciprocity and civic engagement RISKY to TRUST ON OTHERS, SHARE one's own information and knowledge Not “one-size fits all” strategy for Policy: participative, bottom-up, user-led Drawbacks of PARTICIPATORY DESIGN: complex and time-consuming Advantages? 1 2 3 4 5
  • 22. 22 FARMER FARMING COMMUNITY RURAL SOCIETY SUSTAINABLE AGRICULTURE: Empowered communities Environmentally accountable societies Participative governments Sustainable supply chains Reduce transaction costs Increase access to market and resources BENEFITS OF A STRONG SOCIAL CAPITAL Improve individual performance Reduce vulnerability 1 2 3 4 5 CONCLUSIONS
  • 23. CONCLUSIONS 23 ECONOMIC SOCIAL ENVIRONMENTAL Sustainable, zero-cost & locally based BENEFITS of investing in SOCIAL CAPITAL RESOURCES 1 2 3 4 5
  • 24. Directions for further research on Social Capital24 Smallholders’ Performance Replicate in other settings, countries and cultures. Cross section /Time series data Measure effects of social capital on the efficiency of whole local system Identify institutional bodies supporting Social Capital building & monitor their long-term results Measure positive externalities of social capital stock on environmental impact of agriculture 24 1 2 3 4 5 Rural Development Policy Environmental Sustainability
  • 25. Resulting Academic Papers25 Under first and second round review Non-parametric Efficiency Analysis Serra, T. and E. Poli, 2015. Shadow prices of social capital in rural India, a nonparametric approach. European Journal of Operational Research 240 (3): 892-903. Indian Smallholders Rural Development Poli, E.; Serra Devesa, T. and J.M. Gil Roig, 2013. Potential and constraints of employing agricultural biotechnology as a development tool: GMO cultivation and Indian smallholder farmers. Revista Española de Estudios Agrosociales y Pesqueros, 235: 33-59. Parametric Efficiency Analysis Poli, E. and T., Serra, 2015. Social capital and farmers’ production risk in developing countries, the case of india. (Oxford Development Studies) Risk Analysis Socio-economic Analysis Poli, E. , Serra, T., and A. Sharma, 2015. The role of social capital in improving technical efficiency of Indian agriculture. (Journal of Development Research) Poli, E., and Gil M.J, 2015. Social capital in Indian smallholder agriculture: empirical analysis of its potentials for rural development. (Journal of South Asian Development) 1 2 3 4 5
  • 26. THANK YOU 26 “Agriculture can be fruitful only through co-operation” “Mahatma” Gandhi

Editor's Notes

  1. For the QUALITATIVE ANALYSIS we used a number of analytical tools (such as Multiple Linear Regression, Factor Analysis and Socio-Economic Analysis). The first objective was to investigate in-depth which are the constrictions faced by sample farmers in productive activities (in this regard we found that their main constraint is high production costs). Then we investigated social/cultural exclusion of some categories of farmers (expecially women farmers) te, in accessing resources, credit, information and markets. Another important objective of the Qualitative Analysis is to understand the characteristics of Social Capital in this area: to understand what type of networks, what type of informal institutions and shared rules exist in this area as basis for Social Capital.
  2. Then we come to the QUANTITATIVE DATA ANALYSIS. THE COMMON FEATURE OF BOTH THE EFFICIENCY AND RISK ANALYSIS is that SOCIAL CAPITAL is INTRODUCED AS AN INPUT VARIABLE IN THE PRODUCTION FUNCTION. Demographic characteristics such as education and age
  3. “Sahaj Krishi” is a grassroots agricultural project started by few Maharashtran farmers in 2005. These farmers developed INNOVATIVE PROD TECHNIQUES based yoga to IMPROVE FARM PRODUCTIVITY and FARMERS’ WELLBEING. In few years time PROJECT expanded to reach 20.000 farmers all over India, 830 centers Maharasthra. Its TECHNIQUES so SUCCESSFULL, that are now RESEARCHED and APPLIED by ICAR. This is a GREAT EXAMPLE of BOTTOM-UP INNOVATION and PARTICIPATIVE TECHNOLOGY DEVELOPMENT, solutions that RESPOND TO THE NEEDS AND VALUES OF THE COMMUNITIES INVOLVED. In this model we FIND all the KEY ELEMENTS we had identified in our research on SOCIAL CAPITAL: collective production, information sharing ( bottom-up farm innovation ), trust and mutuality ( inter-caste, inter-group collaboration --- farmers participating across all caste/gender/religious groups). WE EXTRAPOLATED THEORY FROM REALITY of our sample FARMERS and then from another route, WE CONFIRMED THIS THEORY IN REALITY of a SUCCESSFUL PROJECT “Sahaj Krishi” is a very interesting grassroots agricultural project which was initiated by just few Maharashtrian farmers in 2005. These farmers developed some very INNOVATIVE AGRICULTURAL TECHNIQUES to IMPROVE FARM PRODUCTIVITY and FARMERS’ WELLBEING. They are proposing a fully new way of approaching agriculture, just the opposite of individual oriented, industrial agriculture. Their techniques do not employ any type of chemicals, but their use the Indian ancient knowledge of yoga and farmers’ connection to the natural environment and to their fellow farmers to improve productivity, proposing a very HOLISTIC APPROACH to agriculture and its sustainability. In few years time, by 2011, this PROJECT expanded to reach 20.000 farmers all over India, having 830 centres Maharashtra. Its TECHNIQUES are so SUCCESSFULL, that are now RESEARCHED and APPLIED by ICAR (Indian countil for agricultural research). This is a GREAT EXAMPLE of BOTTOM-UP INNOVATION and PARTICIPATIVE TECHNOLOGY DEVELOPMENT, solutions that RESPOND TO THE NEEDS AND VALUES OF THE COMMUNITIES INVOLVED. In this model we FIND all the KEY ELEMENTS we had identified in our research on SOCIAL CAPITAL: collective production, information sharing ( bottom-up farm innovation ), trust and mutuality ( inter-caste, inter-group collaboration --- farmers participating across all caste/gender/religious groups). Analysing this project was very interesting because we could confirm that the social capital categories that we identified are actually the key elements to make an actual grassroots project succeed in this area. Secondly, it also helped us to see how these different aspects of social capital interact with higher levels of governance to provide collective benefits. From this we could extrapolate recommendations for policy, as we can see from the next slide.
  4. By analysing the case of SAHAJ KRISHI, we examined which benefits these 3 Social Capital aspects can bring to the whole rural community and discuss how policy can use their potential to achieve higher development goals. IS: Recognizing the role of these actors to co-create, collectively, knowledge for new sustainable practices. TM: Generalised trust and reciprocity among the farming community tend to be self- reinforcing and engender a virtuous circle of high levels of.. Focus on INTER-CASTE, INTER-GROUP collaboration. Open economic opportunities...less powerful /excluded groups.  SO WE HAVE SEEN SOCIAL CAPITAL HAS A GREAT POTENTIAL, BUT WHAT ARE ITS LIMITATIONS AND DRAWBACKS ?
  5. Social Capital as a development tool has a number of limitations and drawbacks. Social Capital is a RESOURCE which is not easy to CREATE. It is difficult to build trust, confidence, cooperation among human beings. In the PROCESS of CREATING SOCIAL CAPITAL, there is not a “one-size fits all” solution. POLICY MAKERS need to tailor strategies on the specific needs and characteristics of every social reality.  So there are drawbacks but the advantages are much more.
  6. A strong SOCIAL CAPITAL benefits FARMERS as individuals, as group and as society 3. Greater stock of SOCIAL CAPITAL and COLLECTIVE ACTION bring benefits to the whole rural society. A STRONG SOCIAL CAPITAL IS THE BASIS TO CREATE empowered communities, environmentally accountable societies, participative governemtns and sustainable supply chains. If these 4 elements can act in synergy for mutual benefits, this could be an actual KEY for ACHIEVING SUSTAINABILITY IN AGRICULTURE.
  7. Hence, the positive effects of investing in Social Capital Resources (which are sustainable, zero-cost and locally-based) can be perceived at the ECONOMIC, SOCIAL and ENVIRONMENTAL LEVEL. […] By collaborating, by trusting and by sharing my own INDIVIDUAL EFFICIENCY LEVEL augments. And that I have much higher probability of achieving higher results than I expected. This is like a safety net against vulnerability and shocks.
  8. BASED ON THE FINDINGS AND THE LIMITATIONS OF THIS STUDY, HERE ARE SOME POSSIBLE EXTENSIONS OF THIS WORK : 1) Replic… 2) We found that Social Capital not only exert a positive impact on the performance of the individual farmers, but it also bring positive contributions on the efficiency of the whole agricultural system. So it would be interesting TO EXTEND THE SCOPE OF THIS RESEARCH TO ACTUALLY MEASURE THIS EFFECT. 2) In terms of POLICY, we proposed a number of recommendations, but it would useful to IDENTIFY WHICH…3) MEASURE the POSITIVE EXTERNALITIES of SOCIAL CAPITAL STOCK on the ENVIRONMENTAL IMPACT of AGRICULTURE. WHICH ARE THE ENVIRONMENTAL BENEFITS OF FARMERS’ SOCIAL CAPITAL.