Exploring Gender and Climate Change Nexus, and Empowering Women in the South Western Coastal Region of Bangladesh for Adaptation and Mitigation
Abstract
:1. Introduction
2. Literature Review
2.1. Vulnerability, Gender Dynamics of Climate Change
2.2. Capacities
3. Adaptations and Women Empowerment
3.1. Empowerment for Efficiency
3.2. Women Empowerment Rendered Technical
4. Research Methodology & Study Area
4.1. Study Area
4.2. Methodology
4.3. Sample Size
Type of respondents: Social and gender vulnerability | Unions: 09 | N = Total population: 242,392 | e = Admissible error in the estimate: 5.5% admissible error margin | Sample size = n: 320 | Female 98 | Male 222 | Youth 25.5% |
4.4. Respondents Occupation and Income
5. Field Survey Analysis and Results
6. Case Studies
6.1. Climate-Induced Challenges
6.2. Climate-Induced Health Problems
6.3. Climate Change Driven Tiger Widows
7. Importance of Empowering Women in the SWCRB
7.1. Environmentally-Friendly Stoves
7.2. Electrification of the SWCRB and Women Empowerment
7.3. Nakshikantha
7.4. Micro-Finance
8. Discussion and Comparison
9. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
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Involvements | Male Farmers | Female Farmers |
---|---|---|
Rise in workload | Feeding livestock, drawing water (A) | Additional income by carrying out farm tasks (A) |
Increased migration for wages (I) | Collection of firewood, waging in neighboring villages (I)) | |
Communal relations. remoteness, and misuse | Unable to migrate from farms, political powerlessness (A) | Increased interactions and responsibility of caregiving, negligence of health (A) |
Exploitation by contractors providing labor (I) | Disadvantage in accessing institutional support (I) | |
Physical and psychological toll | Increased stress, depression, suicidal tendency (A) | Indefinite support, increase in stress (A) |
Increased anxiety to escape indebtedness, domestic violence, suicidal tendency (I) | Increased pressure to provide for family, increase in domestic violence (I) |
(1) Do you think the oldest, disabled, children, and women are most vulnerable at the time of disaster? |
(2) Do you think women are the most vulnerable due to climate shifting pattern? |
(3) If yes, what type of vulnerability do they usually face? |
(4) Is there climate change associated impact on a specific gender? (a) Physical and social settings of women (b) Link between climate change, livelihoods, etc. (c) Impact of climate change on women’s triple role (Reproductive, Productive, Community Management). |
(5) Do you think adaptation measures impact on men and women differently? |
(6) Is it possible to achieve women-friendly adaptation and mitigation in coastal region? |
Types of Vulnerability | Respondents | Percentage of Responses | Male (222) | Female (98) |
---|---|---|---|---|
Women that don’t know how to swim | 112 | 35% | 24.28% | 10.72% |
Water and food issues | 140 | 43.75% | 30.35% | 13.40% |
Cyclone shelter is far from home | 176 | 55% | 38.16% | 16.84% |
Lack of high places to build homes | 80 | 25% | 17.34% | 7.66% |
Physical weakness | 88 | 27.5% | 19.09% | 8.42% |
Helplessness | 64 | 20% | 13.89% | 6.13% |
Nervousness & Fear | 96 | 30% | 20.81% | 9.19% |
Impacts | Respondents | Percentage of Responses | Male (222) | Female (98) |
---|---|---|---|---|
Physical and social setting for women/health issues | 140 | 43.75% | 30.35% | 13.40% |
Women’s triple role (Reproductive, Productive, Community Management) | 130 | 40.6% | 28.16% | 12.43% |
Women’s economic livelihood/poverty | 112 | 35% | 24.28% | 10.72% |
After hazards, income and occupation challenges for women | 122 | 38.1% | 26.43% | 11.67% |
Inadequacy of shelter capacity | 88 | 27.5% | 19.07% | 8.42% |
Women’s participation in decision making | 150 | 46.9% | 32.54% | 14.36% |
Circumstances | Culture Triggered Manners | Condition-Induced Approach | Informer-Respondents of 12 Unions from SWCRB |
---|---|---|---|
Before calamity | Women usually overlook the cyclone indicator or continue to be oblivious about it. | Cautiously judge every cyclone sign | Respondents 1 Respondent 2 Burigoalini union |
Male individuals are not concerned to bring along women to cyclone-safe haven because of insecurity and lack of space to themselves within the atmosphere. | Get themselves ready to set off for cyclone-safe homes with other family members | Respondents 3, Respondent 4 Munshiganj union | |
Because of insufficient or no facts available, they have slight/no alternative to communicate with the neighbors about the imminent calamity. | Share and communicate with the people in the community about the imminent catastrophe | Respondents 5 Respondent 6 Gaura union | |
Attempt to bond and take care of their children and elderly family members collectively. | Maintain their children in close proximity, along with ailing and elderly family members | Respondents 7 Respondent 8 Ramjan Nagar | |
Release livestock within the domestic setting | Look for secure positions, such as dam and cyclone sanctuaries for livestock. | ||
Attempt to salvage jewelry and important documents. | Strive for their greatest level to guard their possessions to a considerable extent. | Respondents 9 Respondent 10 Koikhali | |
Circumstances throughout catastrophe | To follow their male partner | Caregiving responsibilities may save lives | Respondents 11 Respondent 12 Nurnagar |
Be present with teenager girls at house and periodically go to a cyclone protection center with men in the family | They cautiously regard every cyclone indicator and prepare themselves with family members to take refuge at protection in the cyclone safe haven | Respondents 13 Respondent 14 Bhurulia | |
After calamity | Women’s work in agriculture is often seen as an extension of their family responsibilities. | Ensuring the safety of food, water, and fuel is the main concern | Respondents 15 Respondent 16 Kashimari |
Assist male members in tasks inside the house | Assist male members in resettling undertaking; doing work out of home for bringing in ready money, for example, in farming ground, ready money for labor vocation and so on. | Respondents 17 Respondent 18 Atulia | |
Fixing fishing nets | Relating them in gathering of fish fingerlings, fish processing and drying undertaking. | Respondents 19 Respondent 20 Shyamnagar | |
Fetch water from pond within proximity and tube well | Arrange secure drinking and potable water from distant source. | Respondents 21 Respondent 22 Ishwaripur | |
Put aside money and other belongings for the coming days. | Strive to get more cash from farmhouse vegetable farming, betel leaf farming and tree plantation in farmstead and roadside | Respondents 23 Respondent 24 Padma Pukur |
Adaptation Measures | Respondents | Percentage of Responses | Male (222) | Female (98) |
---|---|---|---|---|
Female empowerment through employment with land rights | 150 | 46.9% | 32.54% | 14.36% |
Women friendly agriculture | 64 | 20% | 13.88% | 6.13% |
Female education and building awareness | 120 | 37.5% | 26.02% | 11.48% |
Micro-finance | 160 | 50% | 34.68% | 15.31% |
Policy formation regarding gender equality | 50 | 15.6% | 10.82% | 4.78% |
Ensuring women’s participation in idea development | 92 | 28.8% | 19.98% | 8.82% |
Organization of stakeholders with equal access and involvement of women | 138 | 43.1% | 29.90% | 13.19% |
Integrate climate change information in academic curriculum | 52 | 16.3% | 11.31% | 4.99% |
SWCRB Women Vulnerability | Women-Focused Adaptation Capacity | Name of Union |
---|---|---|
Livelihood | By women/stakeholders | Women participant/informer name |
Losing farmstead land and structure | Several women received help from government and non-government organizations while some were reconstructed by their selves with family members | Respondents 25 Gabura |
Damage of farming yield | Obtained credit and instruction from non-government organizations for farming of season-based vegetables and substitute agricultural work | Respondents 26 Gabura |
Shortcoming in essential needs like schooling, wellbeing, secure intake of water, refuge, sanitation, power supply, and communicative privilege | Government and non-government organizations make fundamental facilities available where women are dynamically involved | Respondents 27 Burigoalini |
Uncertain sources of income | Probing for more varied origin of living instead of conventional ones | Respondents 28 Burigoalini |
Deficiency in right of entry to and power over production like land, farm contribution, animal resource, and assets | Received credit from non-government organizations for agricultural purpose, farm animals rearing and purchasing fishing boat and farming tools | Respondents 29 Munshiganj |
Reliance on money lending sources, usurious sources | Involved with uphill struggle comprising outer periphery of home for repayment of the borrowed cash timely | Respondents 30 Padma Pukur |
Sharp or continual food scarcity | Farm animals rising, sowing seeds of fruit trees, season-based vegetable farming, and substitute agricultural undertaking | Respondents 31 Ramjan Nagar |
Soaring death rate, undernourishment and illness | Seek advice from with the neighborhood medical doctors, herbal practitioner and visit neighborhood clinic | Respondents 32 Kaikhali |
Overexploitation of natural reserves | Quit misuse of natural reserves if earning making encouragement is provided augmented by women’s economic involvement by means of self-employment | Respondents 33 Nurnagar |
Escalating household violent behavior and neighborhood clash because of mental trauma | Through self-employment to decrease the mental pressure triggered from adversity | Respondents 34 Bhurulia |
At Society/organization level | Through women participation | Women participant/informer name |
Fragile family/relationship configuration owing to losing male adult in family unit | Improved local job openings for the women learned and working women making better contribution to reduce these troubles | Respondents 35 Shyamnagar |
Shortcoming in guidance, enterprise, managerial composition to resolve troubles or disagreement | Majority of the girls are presently attending school, optimistically they will experience lesser troubles | Respondents 36 Ishwaripur |
Disproportionate involvement of women in society interaction | Learning and job opening of women can diminish these gaps, consequently, decrease hostility towards women | Respondents 37 Atulia |
Unfairness and deficiency of admission to political practices | Learning, job opening and creation of women group can diminish the social misery Calamity awareness instruction and schooling can organize women better against calamity | Respondents 38 Kashimari |
Social pestering | Instruction on calamity can develop the understanding on reasons and cost of it Alertness and calamity supervision-associated instruction develop understanding about perils and costs | Respondents 39 Munshiganj |
Unpleasant inferior situation in the society | Gender-responsive planning and homework for early caution or reaction to a calamity can decrease fair allocation of crisis relief easy, avail protection situation in refuge houses better, and advance alleviation | Respondents 40 Munshiganj |
Attitude related issues | Women take it as a challenge | Women participant/informer name |
Negative outlook towards transformation and no combating fortitude | Improved local job openings for the educated women and working women making better contribution to reduce these troubles | Respondents 41 Padma Pukur |
Negative viewpoint/bigotry | Majority of the girls are at present attending school; optimistically they will experience lesser troubles | Respondents 42 Atulia |
Ignorance about perils and cost | Learning and job opening of women can diminish these gaps, consequently, decrease hostility towards women | Respondents 43 Bhurulia |
Reliance on outside endorsement | Learning, job opening and creation of women group can diminish the social misery. Calamity awareness instruction and schooling can organize women better against calamity | Respondents 44 Ramjan Nagar |
Dispensing attitude, recuperation competence | Instruction on calamity can develop the understanding on reasons and cost of it. Relating themselves in diverse off-farm and on-farm earning creation actions | Respondents 45 Nurnagar |
Yes (87%) | No (1%) | Don’t Know (12%) | Pearson Chi-Square | Cramér’s V | |||
---|---|---|---|---|---|---|---|
Male | Female | Male | Female | Male | Female | ||
60.36% | 26.64% | 0.69% | 0.31% | 8.00% | 3.00% | 0.994 | 0.006 |
Frequency | Pearson Chi-Square | Cramér’s V | ||
---|---|---|---|---|
Yes (87%) | No (1%) | Don’t know (12%) | 0.001 | 1.00 |
Adaptation Measures | Male (222) | Female (98) | Pearson Chi-Square | Cramér’s V |
---|---|---|---|---|
Female empowerment through employment with land rights | 32.54% | 14.36% | 0.001 | 0.189 |
Women friendly agriculture | 13.88% | 6.13% | 0.043 | 0.113 |
Female education and building awareness | 26.02% | 11.48% | 0.003 | 0.167 |
Micro-finance | 34.68% | 15.31% | 0.001 | 0.197 |
Policy formation regarding gender equality | 10.82% | 4.78% | 0.101 | 0.092 |
Ensuring women’s participation in idea development | 19.98% | 8.82% | 0.018 | 0.132 |
Organization of stakeholders with equal access and involvement of women | 29.90% | 13.19% | 0.002 | 0.176 |
Integrate climate change information in academic curriculum | 11.31% | 4.99% | 0.081 | 0.097 |
Types of Vulnerability | Male (222) | Female (98) | Pearson Chi-Square | Cramér’s V |
---|---|---|---|---|
Women that don’t know how to swim | 24.28% | 10.72% | 0.007 | 0.150 |
Water and food issues | 30.35% | 13.40% | 0.001 | 0.180 |
Cyclone shelter is far from home | 38.16% | 16.84% | 0.001 | 0.207 |
Lack of high places to build homes | 17.34% | 7.66% | 0.035 | 0.118 |
Physical weakness | 19.09% | 8.42% | 0.015 | 0.137 |
Helplessness | 13.89% | 6.13% | 0.043 | 0.113 |
Nervousness & Fear | 20.81% | 9.19% | 0.012 | 0.141 |
Yes (80%) | No (11%) | Don’t Know (9%) | Pearson Chi-Square | Cramér’s V | |||
---|---|---|---|---|---|---|---|
Male | Female | Male | Female | Male | Female | ||
55.5% | 24.5% | 7.63% | 3.37% | 6.24% | 2.76% | 0.992 | 0.007 |
Frequency | Pearson Chi-Square | Cramér’s V | ||
---|---|---|---|---|
Yes (80%) | No (11%) | Don’t know (9%) | 0.001 | 1.00 |
Impacts | Male (222) | Female (98) | Pearson Chi-Square | Cramér’s V |
---|---|---|---|---|
Physical and social setting of women/health issues | 30.35% | 13.40% | 0.001 | 0.180 |
Women’s triple role (Reproductive, Productive, Community Management) | 28.16% | 12.43% | 0.002 | 0.176 |
Women’s economic livelihood/poverty | 24.28% | 10.72% | 0.007 | 0.150 |
After hazards, income and occupation challenges for women | 26.43% | 11.67% | 0.002 | 0.171 |
Inadequacy of shelter capacity | 19.07% | 8.42% | 0.015 | 0.137 |
Women’s participation in decision making | 32.54% | 14.36% | 0.001 | 0.189 |
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Md, A.; Gomes, C.; Dias, J.M.; Cerdà, A. Exploring Gender and Climate Change Nexus, and Empowering Women in the South Western Coastal Region of Bangladesh for Adaptation and Mitigation. Climate 2022, 10, 172. https://doi.org/10.3390/cli10110172
Md A, Gomes C, Dias JM, Cerdà A. Exploring Gender and Climate Change Nexus, and Empowering Women in the South Western Coastal Region of Bangladesh for Adaptation and Mitigation. Climate. 2022; 10(11):172. https://doi.org/10.3390/cli10110172
Chicago/Turabian StyleMd, Ashrafuzzaman, Carla Gomes, João Miguel Dias, and Artemi Cerdà. 2022. "Exploring Gender and Climate Change Nexus, and Empowering Women in the South Western Coastal Region of Bangladesh for Adaptation and Mitigation" Climate 10, no. 11: 172. https://doi.org/10.3390/cli10110172
APA StyleMd, A., Gomes, C., Dias, J. M., & Cerdà, A. (2022). Exploring Gender and Climate Change Nexus, and Empowering Women in the South Western Coastal Region of Bangladesh for Adaptation and Mitigation. Climate, 10(11), 172. https://doi.org/10.3390/cli10110172