Loading...

Impact of Technological Innovation on the Poor

Integrated Aquaculture-Agriculture in Bangladesh

by Abu Hayat Md. Saiful Islam (Author)
Thesis XVI, 199 Pages

Summary

The author examines the dynamics of participation in and welfare impact of integrated aquaculture-agriculture (IAA) value chain by using three-year panel data from indigenous households in the northern and north-western regions of Bangladesh. By different panel estimation methods he analyses the IAA value chain participation dynamics and indicates that education and household size, access to extensions and market information, community-based organisations (CBO) membership are positively associated with participation and continuing participation in IAA value chain activities. Welfare impact results indicate that IAA value chain participation is positively correlated to household income and consumption frequency of some goods, particularly fish. Assessment of the comparative socio-environmental impacts of rice monoculture and rice-fish based IAA practices suggests that rice-fish based IAA is a sustainable alternative to rice monoculture.

Table Of Content

  • Cover
  • Title
  • Copyright
  • About the author(s)/editor(s)
  • About the book
  • This eBook can be cited
  • Table of Contents
  • List of Tables
  • List of Figures
  • List of Abbreviations
  • Acknowledgements
  • Chapter 1: Introduction
  • 1.1 Background
  • 1.2 Problem Statement
  • 1.3 Research Objectives and Questions
  • 1.4 Conceptual Framework
  • 1.5 Research Methods
  • 1.5.1 Study Area
  • 1.5.2 Data: Sampling Technique, Sample Size, and Survey Effort
  • 1.5.3 Indigenous People of Bangladesh
  • 1.6 Outline of the Dissertation
  • Chapter 2: Performance of Integrated Aquaculture-Agriculture Value Chain Development in Bangladesh
  • 2.1 Introduction
  • 2.2 Methods
  • 2.2.1 Data
  • 2.2.2 Analytical Methods
  • 2.2.2.1 Value-chain analysis
  • 2.2.2.2 Gross margin analysis
  • 2.2.2.3 Partial budgeting analysis
  • 2.2.2.4 SWOT analysis
  • 2.3 Results and Discussion
  • 2.3.1 Value Chain Mapping
  • 2.3.2 Actors, Value Addition, Governance, Institutional Framework and Employment in Rice–fish based Integrated Aquaculture-agriculture Value Chains
  • 2.3.3 Gross Margin Analysis of Value Chain Actors
  • 2.3.4 Partial Budgeting
  • 2.3.5 SWOT Analysis of Integrated Rice–fish Value Chains
  • 2.3.5.1 Strengths
  • 2.3.5.2 Weaknesses
  • 2.3.5.3 Opportunities
  • 2.3.5.4 Threats
  • 2.4 Conclusions and Policy Implications
  • Chapter 3: Integrated Aquaculture-Agriculture Value Chain Participation Dynamics in Bangladesh
  • 3.1 Introduction
  • 3.2 Integrated Aquaculture-Agriculture Value Chain Participation Dynamics: Issues and Approaches
  • 3.2.1 Integrated Aquaculture-Agriculture in Bangladesh
  • 3.2.2 Integrated Aquaculture-Agriculture Adoption Research Issues
  • 3.3 Empirical Econometric Estimation Framework
  • 3.3.1 Conceptual Framework for Integrated Aquaculture-Agriculture Value Chain Participation
  • 3.3.1.1 Multinomial logit model
  • 3.3.1.2 Random Effects logit model
  • 3.3.1.3 Re-specified Random Effects logit model for addressing endogeneity
  • 3.3.1.4 Correlated Random Effects model
  • 3.4 Data and Descriptive Statistics
  • 3.5 Econometric Results
  • 3.5.1 Multinomial Logit Model Results
  • 3.5.2 Random Effects Logit Model Results
  • 3.6 Conclusions and Policy Implications
  • Chapter 4: Welfare Impacts of Integrated Aquaculture-Agriculture Value Chain Participation Dynamics in Bangladesh
  • 4.1 Introduction
  • 4.2 Framework of the Study
  • 4.3 Literature Review
  • 4.4 Data and Descriptive Statistics
  • 4.4.1 Who Participated in Integrated Aquaculture-Agriculture Value Chains in Bangladesh?
  • 4.4.2 Relationships between Integrated Aquaculture-Agriculture Value Chain Participation Dynamics and Household Welfare
  • 4.4.3 Distributional Impacts of Integrated Aquaculture-Agriculture Value Chain Participation
  • 4.5 Estimation Issues and Strategy
  • 4.6 Results
  • 4.6.1 Integrated Aquaculture-Agriculture Value Chain Participation Dynamics and Household Welfare
  • 4.6.1.1 Naive Pooled Ordinary Least Squares and Random Effects model results
  • 4.6.1.2 Standard Fixed Effects model results
  • 4.6.1.3 Heckit panel and control function approach results
  • 4.6.2 Who Benefits More From Integrated Aquaculture-Agriculture Value Chain Participation?
  • 4.7 Conclusions
  • Chapter 5: Comparative Socio-environmental Impacts of Rice–Fish Based Integrated Aquaculture-Agriculture and Rice Monoculture in Bangladesh
  • 5.1 Introduction
  • 5.2 Methods
  • 5.2.1 Data
  • 5.2.2 Econometric framework
  • 5.2.3 Dependent Variables: Farmer Socio-Environmental Awareness Index
  • 5.2.4 Independent Variables
  • 5.3 Results and Discussion
  • 5.3.1 Plot Level Comparison of Inputs Used for Rice–fish based Integrated Aquaculture-Agriculture and Rice Monoculture Farming Systems
  • 5.3.2 Comparison of Farmer Perceptions
  • 5.3.2.1 Rice–fish based IAA farmer perceptions of the socio-environmental impacts of rice monoculture and integrated rice–fish systems
  • 5.3.2.2 Comparison of perceptions of the socio-environmental impacts of rice monoculture among integrated rice–fish farmers and rice monoculture farmers
  • 5.3.3 Determinants of Farmer Awareness of the Socio-environmental Impacts of Rice Monoculture: Tobit and PSM Analyses
  • 5.4 Conclusions and Policy Implications
  • Chapter 6: Summary, Conclusion—Policy Implications and Further Research Needs
  • 6.1 Research Summary
  • 6.2 Conclusions and Policy Implications
  • 6.3 Further Research Needs
  • References
  • Appendix
  • Abstract
  • Zusammenfassung

| IX →

List of Tables

Table 1.1: Sample size of the panel survey of integrated aquaculture-agriculture participation among study area households in Bangladesh

Table 2.1: Sample sizes by rice–fish based integrated aquaculture-agriculture value chain participation category in Bangladesh

Table 2.2: Labour allocation patterns (person days/hectare/year) for rice monoculture and integrated rice–fish production systems in Bangladesh

Table 2.3: Mean quantity and cost/return values of inputs and outputs of different farming systems in Bangladesh

Table 2.4: Mean costs/returns of inputs and outputs of actors along integrated rice–fish farming system fish value chains in Bangladesh

Table 2.5: Partial budgeting analysis results: net changes in gross margins are due to the replacement of rice monoculture with integrated rice–fish farming systems in Bangladesh

Table 2.6: SWOT framework results for integrated rice–fish farming system value chain development in Bangladesh.

Table 3.1: Mean and standard deviations of independent variables by integrated aquaculture-agriculture value chain participation category in Bangladesh

Table 3.2: Reported reasons for dis-participation from integrated aquaculture-agriculture value chains in Bangladesh

Table 3.3: Multinomial logit analysis results of integrated aquaculture-agriculture value chain participation in Bangladesh

Table 3.4: Random Effects model results of IAA value chain participation

Table 4.1: Descriptive statistics (mean and standard deviation) of Integrated Aquaculture-Agriculture participation explanatory variables in Bangladesh

Table 4.2: Pooled Ordinary Least Squares and Random Effects model results ← IX | X →

Table 4.3: Fixed Effects model results of the relationship between IAA value chain participation and household income and consumption frequency of selected foods in Bangladesh

Table 4.4: Heckit panel and control function model coefficients of the relationship between IAA participation and household income in Bangladesh

Table 4.5: Comparison of the Fixed Effects model results of annual household income# for the IAA value chain actors by relative wealth in Bangladesh

Table 5.1: Summary statistics of independent variables used in the regression

Table 5.2: Comparative farm level socio-environmental benefits and costs of rice–fish based integrated aquaculture-agriculture and rice monoculture production

Table 5.3: Rice–fish based IAA farmer perceptions of the impacts of rice monoculture and integrated rice–fish systems in Bangladesh

Table 5.4: Rice–fish based IAA system and rice monoculture farmer perceptions on the socio-environmental impacts of rice monoculture systems in Bangladesh

Table 5.5: Tobit model results for determinants of farmer perceptions of the socio-environmental impacts of rice monoculture in Bangladesh

Table 5.6: ATT results from the alternative matching algorithm

Table A.1.1: Attrition bias test results

Table A.3.1: Mean and standard deviations (in parentheses) of independent variables by IAA value chain participation category

Table A.3.2: Multinomial logit analysis of IAA value chain participation with aggregated sample

Table A.5.1: Construction procedure of the socio-environmental awareness index

Table A.4.1: Household well-being measures for IAA value chain participators, non-participators and dis-participators in Bangladesh

Table A.4.2: Welfare distribution among the IAA value chain participation categories

Table A.1.2: Interview schedule for IAA value chain actors in Bangladesh

| XI →

List of Figures

Figure 1.1: Conceptual framework of the study

Figure 1.2: Map of the study area indicating the geopolitical districts (purple) and sub-districts (green) in Bangladesh

Figure 2.1: Schematic representation of rice–fish value chains in Bangladesh

Figure 4.1: Conceptual framework showing the welfare effect pathways of IAA value chain participation [Adapted after modification from von Braun (1988) and Dey et al. (2010)]

Figure 4.2: Household income by integrated aquaculture-agriculture value chain participation categories in Bangladesh

Figure 4.3: Distribution of income effects among integrated aquaculture-agriculture value chain participation categories in Bangladesh

| XIII →

Details

Pages
XVI, 199
ISBN (PDF)
9783653064933
ISBN (ePUB)
9783653952353
ISBN (MOBI)
9783653952346
ISBN (Hardcover)
9783631671412
Language
English
Publication date
2016 (February)
Published
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2016. XVI, 199 pp., 6 tables, 29 graphs

Biographical notes

Abu Hayat Md. Saiful Islam (Author)

Abu Hayat Md. Saiful Islam studied Agricultural Economics and international Rural Development at the Bangladesh Agricultural University in Mymensingh (Bangladesh), the Humboldt University of Berlin (Germany) and the Gent University (Belgium). He received a PhD in Agricultural Economics from the University of Bonn (Germany) and is conducting teaching and research at the Bangladesh Agricultural University in Mymensingh.

Previous

Title: Impact of Technological Innovation on the Poor