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Analysis on the factors affecting farmers’ performance in disaster risk management at community level: focusing on a Haor locality in Bangladesh

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Abstract

The purpose of this study is to clarify the factors affecting famers’ performance in disaster risk management (DRM) at community level focusing on a haor area of Bangladesh. We introduced structural equation modeling (SEM) based on the results of authors’ designated questionnaire survey (face-to-face interview) targeting the farmers of Itna union in Kishoreganj district of Bangladesh, to verify our hypothesis “Farmers’ attributes, their level of social capital, and attitudes toward technology and training have impacts on their performance in disaster risk management at community level (H1)”. The results clarified that there are multi causal relationships among the factors affecting farmers’ performance in DRM, in which, the factors of gender, poverty, social capital and farmers’ attitudes toward technology and training are important in the haor area of Bangladesh. Therefore, we draw policy implication from the analytical results that it is necessary to recognize that the causes of poverty are strongly route-dependent in rural areas including the existence of gender discrimination and a low trust to government officials. Furthermore, we suggest to have DRM policies to consider poverty issue from a different lens and to pay attention to the investment in innovation and entrepreneurship.

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Acknowledgements

This study was carried out with the financial support from the Japanese Government (MONBUKAGAKUSHO:MEXT) Scholarship.

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Authors and Affiliations

  1. Graduate School of Science and Technology, Niigata University, Niigata City, Japan

    Sohel Rana

  2. Institute of Science and Technology, Niigata University, Niigata City, Japan

    Lily Kiminami & Shinichi Furuzawa

Authors
  1. Sohel Rana
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  2. Lily Kiminami
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  3. Shinichi Furuzawa
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Correspondence to Lily Kiminami.

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Appendices

Appendix 1

See Table

Table 8 Questions regarding farmers’ performance in disaster risk management
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8.

Appendix 2

See Table

Table 9 Extension media contact: please indicate your frequency of contact with the following sources
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9

Appendix 3

See Table

Table 10 Attitudes toward modern agricultural technologies
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10

Appendix 4

See Table

Table 11 Results of the principal component analysis on the social capital
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11

Appendix 5

Abbreviations

AEO:

Agricultural Extension Officer

AGE:

Age

AGES:

Age Square

AHI:

Annual Household Income

AMT:

Attitudes toward Modern Agricultural Technology

BBS:

Bangladesh Bureau of Statistics

BDT:

Bangladeshi Taka

BS:

Block Supervisor

CBDRM:

Community-based Disaster Risk Management

CFI:

Comparative Fit Index

DRM:

Disaster Risk Management

EDU:

Education

EDUS:

Education Square

EMC:

Extension Media Contact

FS:

Farm Size

MITPD:

Mitigation and preparedness

NGO:

Non-Government Organization

PREVN:

Prevention

RECOV:

Recovery

RESPO:

Response

RMSEA:

Root Mean Square Error Approximation

SAAO:

Sub Assistant Agriculture Officer

SC:

Social Capital

SEM:

Structural Equation Modeling

SEX:

Sex

TRAIN:

Training

UAO:

Upazila Agriculture Officer

UFO:

Upazila Fisheries Officer

ULO:

Upazila Livestock Officer

VS:

Veterinary Surgeon

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Rana, S., Kiminami, L. & Furuzawa, S. Analysis on the factors affecting farmers’ performance in disaster risk management at community level: focusing on a Haor locality in Bangladesh. Asia-Pac J Reg Sci 4, 737–757 (2020). https://doi.org/10.1007/s41685-020-00171-7

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  • DOI: https://doi.org/10.1007/s41685-020-00171-7

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