Nexus between climatic extremes and household expenditures in rural Bangladesh : a nationally representative panel data analysis
Gespeichert in:
| Autor*in: |
Islam, Mohammad Saiful [verfasserIn] Islam, Abu Hayat Md. Saiful - 1982- [verfasserIn] Sato, Masayuki - 1977- [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Asia-Pacific journal of regional science - [Singapore] : Springer Singapore, 2017, 7(2023), 2 vom: Juni, Seite 355-379 |
|---|---|
| Übergeordnetes Werk: |
volume:7 ; year:2023 ; number:2 ; month:06 ; pages:355-379 |
| Links: |
|---|
| DOI / URN: |
10.1007/s41685-022-00266-3 |
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| Katalog-ID: |
1856419037 |
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| 982 | |2 26 |1 00 |x DE-206 |b Bangladesh is a country recognized as "ground zero" in terms of vulnerability due to human-induced climate change, for which it bears the brunt of extreme climatic events. In addition, the number of extreme events is disconcertingly increasing nowadays and, jeopardizing its people, particularly in the southern (cyclone-prone), north-western (drought-prone), and east-northern and central (flood-prone) regions by causing instability and a reduction in sources of income for households, which in turn affects household expenditures. To this end, our study sought to determine the nexus between extreme climatic events and household welfare. For this, we adopted pooled OLS (Ordinary Least Square), fixed effects, and random effects models using three (2011-2012, 2015, and 2018-2019) wave nationally representative data sets of the Bangladesh Integrated Household Survey (BIHS) from rural Bangladesh. The results revealed that climate extremes affect household well-being. Superficially, the fixed effects model (most efficient) showed that climatic extremes led to a 3% decrease in average household expenditures. Moreover, negative coefficients were found for household food and non-food expenditures. Therefore, we propose several policy changes as part of adaptation and mitigation strategies to counter the negative impacts of extreme climate events. These include-income diversification through the creation of off-farm income generating activities (IGAs), an emphasis on sustained technology innovations under the changing climatic conditions, and variety development to tailor solutions to regions suffering from increased saline, droughts, and floods. | ||
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10.1007/s41685-022-00266-3 doi (DE-627)1856419037 (DE-599)KXP1856419037 DE-627 ger DE-627 rda eng Islam, Mohammad Saiful verfasserin (DE-588)1300471549 (DE-627)1858246881 aut Nexus between climatic extremes and household expenditures in rural Bangladesh a nationally representative panel data analysis Mohammad Saiful Islam, Abu Hayat Md. Saiful Islam, Masayuki Sato 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bangladesh (dpeaa)DE-206 Climate change (dpeaa)DE-206 Climatic extremes (dpeaa)DE-206 Food expenditures (dpeaa)DE-206 Household expenditure (dpeaa)DE-206 Panel data (dpeaa)DE-206 Islam, Abu Hayat Md. Saiful 1982- verfasserin (DE-588)1084145545 (DE-627)848362365 (DE-576)456214844 aut Sato, Masayuki 1977- verfasserin (DE-588)1117051013 (DE-627)870929607 (DE-576)478700741 aut Enthalten in Asia-Pacific journal of regional science [Singapore] : Springer Singapore, 2017 7(2023), 2 vom: Juni, Seite 355-379 Online-Ressource (DE-627)87812652X (DE-600)2882268-7 (DE-576)48275947X 2509-7954 nnns volume:7 year:2023 number:2 month:06 pages:355-379 https://link.springer.com/content/pdf/10.1007/s41685-022-00266-3.pdf Verlag lizenzpflichtig https://doi.org/10.1007/s41685-022-00266-3 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2023 2 6 355-379 26 01 0206 4366988011 x1z 17-08-23 26 00 DE-206 Bangladesh is a country recognized as "ground zero" in terms of vulnerability due to human-induced climate change, for which it bears the brunt of extreme climatic events. In addition, the number of extreme events is disconcertingly increasing nowadays and, jeopardizing its people, particularly in the southern (cyclone-prone), north-western (drought-prone), and east-northern and central (flood-prone) regions by causing instability and a reduction in sources of income for households, which in turn affects household expenditures. To this end, our study sought to determine the nexus between extreme climatic events and household welfare. For this, we adopted pooled OLS (Ordinary Least Square), fixed effects, and random effects models using three (2011-2012, 2015, and 2018-2019) wave nationally representative data sets of the Bangladesh Integrated Household Survey (BIHS) from rural Bangladesh. The results revealed that climate extremes affect household well-being. Superficially, the fixed effects model (most efficient) showed that climatic extremes led to a 3% decrease in average household expenditures. Moreover, negative coefficients were found for household food and non-food expenditures. Therefore, we propose several policy changes as part of adaptation and mitigation strategies to counter the negative impacts of extreme climate events. These include-income diversification through the creation of off-farm income generating activities (IGAs), an emphasis on sustained technology innovations under the changing climatic conditions, and variety development to tailor solutions to regions suffering from increased saline, droughts, and floods. |
| spelling |
10.1007/s41685-022-00266-3 doi (DE-627)1856419037 (DE-599)KXP1856419037 DE-627 ger DE-627 rda eng Islam, Mohammad Saiful verfasserin (DE-588)1300471549 (DE-627)1858246881 aut Nexus between climatic extremes and household expenditures in rural Bangladesh a nationally representative panel data analysis Mohammad Saiful Islam, Abu Hayat Md. Saiful Islam, Masayuki Sato 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bangladesh (dpeaa)DE-206 Climate change (dpeaa)DE-206 Climatic extremes (dpeaa)DE-206 Food expenditures (dpeaa)DE-206 Household expenditure (dpeaa)DE-206 Panel data (dpeaa)DE-206 Islam, Abu Hayat Md. Saiful 1982- verfasserin (DE-588)1084145545 (DE-627)848362365 (DE-576)456214844 aut Sato, Masayuki 1977- verfasserin (DE-588)1117051013 (DE-627)870929607 (DE-576)478700741 aut Enthalten in Asia-Pacific journal of regional science [Singapore] : Springer Singapore, 2017 7(2023), 2 vom: Juni, Seite 355-379 Online-Ressource (DE-627)87812652X (DE-600)2882268-7 (DE-576)48275947X 2509-7954 nnns volume:7 year:2023 number:2 month:06 pages:355-379 https://link.springer.com/content/pdf/10.1007/s41685-022-00266-3.pdf Verlag lizenzpflichtig https://doi.org/10.1007/s41685-022-00266-3 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2023 2 6 355-379 26 01 0206 4366988011 x1z 17-08-23 26 00 DE-206 Bangladesh is a country recognized as "ground zero" in terms of vulnerability due to human-induced climate change, for which it bears the brunt of extreme climatic events. In addition, the number of extreme events is disconcertingly increasing nowadays and, jeopardizing its people, particularly in the southern (cyclone-prone), north-western (drought-prone), and east-northern and central (flood-prone) regions by causing instability and a reduction in sources of income for households, which in turn affects household expenditures. To this end, our study sought to determine the nexus between extreme climatic events and household welfare. For this, we adopted pooled OLS (Ordinary Least Square), fixed effects, and random effects models using three (2011-2012, 2015, and 2018-2019) wave nationally representative data sets of the Bangladesh Integrated Household Survey (BIHS) from rural Bangladesh. The results revealed that climate extremes affect household well-being. Superficially, the fixed effects model (most efficient) showed that climatic extremes led to a 3% decrease in average household expenditures. Moreover, negative coefficients were found for household food and non-food expenditures. Therefore, we propose several policy changes as part of adaptation and mitigation strategies to counter the negative impacts of extreme climate events. These include-income diversification through the creation of off-farm income generating activities (IGAs), an emphasis on sustained technology innovations under the changing climatic conditions, and variety development to tailor solutions to regions suffering from increased saline, droughts, and floods. |
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10.1007/s41685-022-00266-3 doi (DE-627)1856419037 (DE-599)KXP1856419037 DE-627 ger DE-627 rda eng Islam, Mohammad Saiful verfasserin (DE-588)1300471549 (DE-627)1858246881 aut Nexus between climatic extremes and household expenditures in rural Bangladesh a nationally representative panel data analysis Mohammad Saiful Islam, Abu Hayat Md. Saiful Islam, Masayuki Sato 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bangladesh (dpeaa)DE-206 Climate change (dpeaa)DE-206 Climatic extremes (dpeaa)DE-206 Food expenditures (dpeaa)DE-206 Household expenditure (dpeaa)DE-206 Panel data (dpeaa)DE-206 Islam, Abu Hayat Md. Saiful 1982- verfasserin (DE-588)1084145545 (DE-627)848362365 (DE-576)456214844 aut Sato, Masayuki 1977- verfasserin (DE-588)1117051013 (DE-627)870929607 (DE-576)478700741 aut Enthalten in Asia-Pacific journal of regional science [Singapore] : Springer Singapore, 2017 7(2023), 2 vom: Juni, Seite 355-379 Online-Ressource (DE-627)87812652X (DE-600)2882268-7 (DE-576)48275947X 2509-7954 nnns volume:7 year:2023 number:2 month:06 pages:355-379 https://link.springer.com/content/pdf/10.1007/s41685-022-00266-3.pdf Verlag lizenzpflichtig https://doi.org/10.1007/s41685-022-00266-3 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2023 2 6 355-379 26 01 0206 4366988011 x1z 17-08-23 26 00 DE-206 Bangladesh is a country recognized as "ground zero" in terms of vulnerability due to human-induced climate change, for which it bears the brunt of extreme climatic events. In addition, the number of extreme events is disconcertingly increasing nowadays and, jeopardizing its people, particularly in the southern (cyclone-prone), north-western (drought-prone), and east-northern and central (flood-prone) regions by causing instability and a reduction in sources of income for households, which in turn affects household expenditures. To this end, our study sought to determine the nexus between extreme climatic events and household welfare. For this, we adopted pooled OLS (Ordinary Least Square), fixed effects, and random effects models using three (2011-2012, 2015, and 2018-2019) wave nationally representative data sets of the Bangladesh Integrated Household Survey (BIHS) from rural Bangladesh. The results revealed that climate extremes affect household well-being. Superficially, the fixed effects model (most efficient) showed that climatic extremes led to a 3% decrease in average household expenditures. Moreover, negative coefficients were found for household food and non-food expenditures. Therefore, we propose several policy changes as part of adaptation and mitigation strategies to counter the negative impacts of extreme climate events. These include-income diversification through the creation of off-farm income generating activities (IGAs), an emphasis on sustained technology innovations under the changing climatic conditions, and variety development to tailor solutions to regions suffering from increased saline, droughts, and floods. |
| allfieldsGer |
10.1007/s41685-022-00266-3 doi (DE-627)1856419037 (DE-599)KXP1856419037 DE-627 ger DE-627 rda eng Islam, Mohammad Saiful verfasserin (DE-588)1300471549 (DE-627)1858246881 aut Nexus between climatic extremes and household expenditures in rural Bangladesh a nationally representative panel data analysis Mohammad Saiful Islam, Abu Hayat Md. Saiful Islam, Masayuki Sato 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bangladesh (dpeaa)DE-206 Climate change (dpeaa)DE-206 Climatic extremes (dpeaa)DE-206 Food expenditures (dpeaa)DE-206 Household expenditure (dpeaa)DE-206 Panel data (dpeaa)DE-206 Islam, Abu Hayat Md. Saiful 1982- verfasserin (DE-588)1084145545 (DE-627)848362365 (DE-576)456214844 aut Sato, Masayuki 1977- verfasserin (DE-588)1117051013 (DE-627)870929607 (DE-576)478700741 aut Enthalten in Asia-Pacific journal of regional science [Singapore] : Springer Singapore, 2017 7(2023), 2 vom: Juni, Seite 355-379 Online-Ressource (DE-627)87812652X (DE-600)2882268-7 (DE-576)48275947X 2509-7954 nnns volume:7 year:2023 number:2 month:06 pages:355-379 https://link.springer.com/content/pdf/10.1007/s41685-022-00266-3.pdf Verlag lizenzpflichtig https://doi.org/10.1007/s41685-022-00266-3 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2023 2 6 355-379 26 01 0206 4366988011 x1z 17-08-23 26 00 DE-206 Bangladesh is a country recognized as "ground zero" in terms of vulnerability due to human-induced climate change, for which it bears the brunt of extreme climatic events. In addition, the number of extreme events is disconcertingly increasing nowadays and, jeopardizing its people, particularly in the southern (cyclone-prone), north-western (drought-prone), and east-northern and central (flood-prone) regions by causing instability and a reduction in sources of income for households, which in turn affects household expenditures. To this end, our study sought to determine the nexus between extreme climatic events and household welfare. For this, we adopted pooled OLS (Ordinary Least Square), fixed effects, and random effects models using three (2011-2012, 2015, and 2018-2019) wave nationally representative data sets of the Bangladesh Integrated Household Survey (BIHS) from rural Bangladesh. The results revealed that climate extremes affect household well-being. Superficially, the fixed effects model (most efficient) showed that climatic extremes led to a 3% decrease in average household expenditures. Moreover, negative coefficients were found for household food and non-food expenditures. Therefore, we propose several policy changes as part of adaptation and mitigation strategies to counter the negative impacts of extreme climate events. These include-income diversification through the creation of off-farm income generating activities (IGAs), an emphasis on sustained technology innovations under the changing climatic conditions, and variety development to tailor solutions to regions suffering from increased saline, droughts, and floods. |
| allfieldsSound |
10.1007/s41685-022-00266-3 doi (DE-627)1856419037 (DE-599)KXP1856419037 DE-627 ger DE-627 rda eng Islam, Mohammad Saiful verfasserin (DE-588)1300471549 (DE-627)1858246881 aut Nexus between climatic extremes and household expenditures in rural Bangladesh a nationally representative panel data analysis Mohammad Saiful Islam, Abu Hayat Md. Saiful Islam, Masayuki Sato 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bangladesh (dpeaa)DE-206 Climate change (dpeaa)DE-206 Climatic extremes (dpeaa)DE-206 Food expenditures (dpeaa)DE-206 Household expenditure (dpeaa)DE-206 Panel data (dpeaa)DE-206 Islam, Abu Hayat Md. Saiful 1982- verfasserin (DE-588)1084145545 (DE-627)848362365 (DE-576)456214844 aut Sato, Masayuki 1977- verfasserin (DE-588)1117051013 (DE-627)870929607 (DE-576)478700741 aut Enthalten in Asia-Pacific journal of regional science [Singapore] : Springer Singapore, 2017 7(2023), 2 vom: Juni, Seite 355-379 Online-Ressource (DE-627)87812652X (DE-600)2882268-7 (DE-576)48275947X 2509-7954 nnns volume:7 year:2023 number:2 month:06 pages:355-379 https://link.springer.com/content/pdf/10.1007/s41685-022-00266-3.pdf Verlag lizenzpflichtig https://doi.org/10.1007/s41685-022-00266-3 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2023 2 6 355-379 26 01 0206 4366988011 x1z 17-08-23 26 00 DE-206 Bangladesh is a country recognized as "ground zero" in terms of vulnerability due to human-induced climate change, for which it bears the brunt of extreme climatic events. In addition, the number of extreme events is disconcertingly increasing nowadays and, jeopardizing its people, particularly in the southern (cyclone-prone), north-western (drought-prone), and east-northern and central (flood-prone) regions by causing instability and a reduction in sources of income for households, which in turn affects household expenditures. To this end, our study sought to determine the nexus between extreme climatic events and household welfare. For this, we adopted pooled OLS (Ordinary Least Square), fixed effects, and random effects models using three (2011-2012, 2015, and 2018-2019) wave nationally representative data sets of the Bangladesh Integrated Household Survey (BIHS) from rural Bangladesh. The results revealed that climate extremes affect household well-being. Superficially, the fixed effects model (most efficient) showed that climatic extremes led to a 3% decrease in average household expenditures. Moreover, negative coefficients were found for household food and non-food expenditures. Therefore, we propose several policy changes as part of adaptation and mitigation strategies to counter the negative impacts of extreme climate events. These include-income diversification through the creation of off-farm income generating activities (IGAs), an emphasis on sustained technology innovations under the changing climatic conditions, and variety development to tailor solutions to regions suffering from increased saline, droughts, and floods. |
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Enthalten in Asia-Pacific journal of regional science 7(2023), 2 vom: Juni, Seite 355-379 volume:7 year:2023 number:2 month:06 pages:355-379 |
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code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">7</subfield><subfield code="j">2023</subfield><subfield code="e">2</subfield><subfield code="c">6</subfield><subfield code="h">355-379</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">4366988011</subfield><subfield code="y">x1z</subfield><subfield code="z">17-08-23</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">Bangladesh is a country recognized as "ground zero" in terms of vulnerability due to human-induced climate change, for which it bears the brunt of extreme climatic events. In addition, the number of extreme events is disconcertingly increasing nowadays and, jeopardizing its people, particularly in the southern (cyclone-prone), north-western (drought-prone), and east-northern and central (flood-prone) regions by causing instability and a reduction in sources of income for households, which in turn affects household expenditures. To this end, our study sought to determine the nexus between extreme climatic events and household welfare. For this, we adopted pooled OLS (Ordinary Least Square), fixed effects, and random effects models using three (2011-2012, 2015, and 2018-2019) wave nationally representative data sets of the Bangladesh Integrated Household Survey (BIHS) from rural Bangladesh. The results revealed that climate extremes affect household well-being. Superficially, the fixed effects model (most efficient) showed that climatic extremes led to a 3% decrease in average household expenditures. Moreover, negative coefficients were found for household food and non-food expenditures. Therefore, we propose several policy changes as part of adaptation and mitigation strategies to counter the negative impacts of extreme climate events. These include-income diversification through the creation of off-farm income generating activities (IGAs), an emphasis on sustained technology innovations under the changing climatic conditions, and variety development to tailor solutions to regions suffering from increased saline, droughts, and floods.</subfield></datafield></record></collection>
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Islam, Mohammad Saiful |
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26 00 DE-206 Bangladesh is a country recognized as "ground zero" in terms of vulnerability due to human-induced climate change, for which it bears the brunt of extreme climatic events. In addition, the number of extreme events is disconcertingly increasing nowadays and, jeopardizing its people, particularly in the southern (cyclone-prone), north-western (drought-prone), and east-northern and central (flood-prone) regions by causing instability and a reduction in sources of income for households, which in turn affects household expenditures. To this end, our study sought to determine the nexus between extreme climatic events and household welfare. For this, we adopted pooled OLS (Ordinary Least Square), fixed effects, and random effects models using three (2011-2012, 2015, and 2018-2019) wave nationally representative data sets of the Bangladesh Integrated Household Survey (BIHS) from rural Bangladesh. The results revealed that climate extremes affect household well-being. Superficially, the fixed effects model (most efficient) showed that climatic extremes led to a 3% decrease in average household expenditures. Moreover, negative coefficients were found for household food and non-food expenditures. Therefore, we propose several policy changes as part of adaptation and mitigation strategies to counter the negative impacts of extreme climate events. These include-income diversification through the creation of off-farm income generating activities (IGAs), an emphasis on sustained technology innovations under the changing climatic conditions, and variety development to tailor solutions to regions suffering from increased saline, droughts, and floods Nexus between climatic extremes and household expenditures in rural Bangladesh a nationally representative panel data analysis Mohammad Saiful Islam, Abu Hayat Md. Saiful Islam, Masayuki Sato Bangladesh (dpeaa)DE-206 Climate change (dpeaa)DE-206 Climatic extremes (dpeaa)DE-206 Food expenditures (dpeaa)DE-206 Household expenditure (dpeaa)DE-206 Panel data (dpeaa)DE-206 |
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ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4328</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">7</subfield><subfield code="j">2023</subfield><subfield code="e">2</subfield><subfield code="c">6</subfield><subfield code="h">355-379</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">4366988011</subfield><subfield code="y">x1z</subfield><subfield code="z">17-08-23</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">Bangladesh is a country recognized as "ground zero" in terms of vulnerability due to human-induced climate change, for which it bears the brunt of extreme climatic events. In addition, the number of extreme events is disconcertingly increasing nowadays and, jeopardizing its people, particularly in the southern (cyclone-prone), north-western (drought-prone), and east-northern and central (flood-prone) regions by causing instability and a reduction in sources of income for households, which in turn affects household expenditures. To this end, our study sought to determine the nexus between extreme climatic events and household welfare. For this, we adopted pooled OLS (Ordinary Least Square), fixed effects, and random effects models using three (2011-2012, 2015, and 2018-2019) wave nationally representative data sets of the Bangladesh Integrated Household Survey (BIHS) from rural Bangladesh. The results revealed that climate extremes affect household well-being. Superficially, the fixed effects model (most efficient) showed that climatic extremes led to a 3% decrease in average household expenditures. Moreover, negative coefficients were found for household food and non-food expenditures. Therefore, we propose several policy changes as part of adaptation and mitigation strategies to counter the negative impacts of extreme climate events. These include-income diversification through the creation of off-farm income generating activities (IGAs), an emphasis on sustained technology innovations under the changing climatic conditions, and variety development to tailor solutions to regions suffering from increased saline, droughts, and floods.</subfield></datafield></record></collection>
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| score |
7.398798 |