Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable
Abstract Increasingly, rural households in developing countries are shopping for food online, and the COVID-19 pandemic has accelerated this trend. In parallel, dietary guidelines worldwide recommend eating a balanced and healthy diet. With this in mind, this study explores whether online food shopp...
Ausführliche Beschreibung
Autor*in: |
Ma, Wanglin [verfasserIn] |
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E-Artikel |
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Englisch |
Erschienen: |
2022 |
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Anmerkung: |
© The Author(s) 2022 |
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Übergeordnetes Werk: |
Enthalten in: Agricultural and Food Economics - Berlin : SpringerOpen, 2013, 10(2022), 1 vom: 05. Dez. |
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Übergeordnetes Werk: |
volume:10 ; year:2022 ; number:1 ; day:05 ; month:12 |
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DOI / URN: |
10.1186/s40100-022-00239-2 |
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Katalog-ID: |
SPR048812846 |
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10.1186/s40100-022-00239-2 doi (DE-627)SPR048812846 (SPR)s40100-022-00239-2-e DE-627 ger DE-627 rakwb eng Ma, Wanglin verfasserin (orcid)0000-0001-7847-8459 aut Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Increasingly, rural households in developing countries are shopping for food online, and the COVID-19 pandemic has accelerated this trend. In parallel, dietary guidelines worldwide recommend eating a balanced and healthy diet. With this in mind, this study explores whether online food shopping boosts dietary diversity—defined as the number of distinct food groups consumed—among rural households in China. Because people choose to shop for food online, it is important to account for the self-selection bias inherent in online food shopping. Accordingly, we estimate the treatment effects of online food shopping on dietary diversity using the endogenous switching model with a count outcome variable. The results indicate that online food shopping increases dietary diversity by 7.34%. We also find that education, asset ownership, and knowing the government’s dietary guidelines are the main factors driving rural households’ decisions to shop for food online. Online food shopping (dpeaa)DE-He213 Dietary diversity (dpeaa)DE-He213 Endogenous switching (dpeaa)DE-He213 Rural China (dpeaa)DE-He213 Vatsa, Puneet aut Zheng, Hongyun (orcid)0000-0002-8205-6563 aut Guo, Yanzhi aut Enthalten in Agricultural and Food Economics Berlin : SpringerOpen, 2013 10(2022), 1 vom: 05. Dez. (DE-627)746705077 (DE-600)2716609-0 2193-7532 nnns volume:10 year:2022 number:1 day:05 month:12 https://dx.doi.org/10.1186/s40100-022-00239-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4367 GBV_ILN_4700 AR 10 2022 1 05 12 |
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10.1186/s40100-022-00239-2 doi (DE-627)SPR048812846 (SPR)s40100-022-00239-2-e DE-627 ger DE-627 rakwb eng Ma, Wanglin verfasserin (orcid)0000-0001-7847-8459 aut Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Increasingly, rural households in developing countries are shopping for food online, and the COVID-19 pandemic has accelerated this trend. In parallel, dietary guidelines worldwide recommend eating a balanced and healthy diet. With this in mind, this study explores whether online food shopping boosts dietary diversity—defined as the number of distinct food groups consumed—among rural households in China. Because people choose to shop for food online, it is important to account for the self-selection bias inherent in online food shopping. Accordingly, we estimate the treatment effects of online food shopping on dietary diversity using the endogenous switching model with a count outcome variable. The results indicate that online food shopping increases dietary diversity by 7.34%. We also find that education, asset ownership, and knowing the government’s dietary guidelines are the main factors driving rural households’ decisions to shop for food online. Online food shopping (dpeaa)DE-He213 Dietary diversity (dpeaa)DE-He213 Endogenous switching (dpeaa)DE-He213 Rural China (dpeaa)DE-He213 Vatsa, Puneet aut Zheng, Hongyun (orcid)0000-0002-8205-6563 aut Guo, Yanzhi aut Enthalten in Agricultural and Food Economics Berlin : SpringerOpen, 2013 10(2022), 1 vom: 05. Dez. (DE-627)746705077 (DE-600)2716609-0 2193-7532 nnns volume:10 year:2022 number:1 day:05 month:12 https://dx.doi.org/10.1186/s40100-022-00239-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4367 GBV_ILN_4700 AR 10 2022 1 05 12 |
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10.1186/s40100-022-00239-2 doi (DE-627)SPR048812846 (SPR)s40100-022-00239-2-e DE-627 ger DE-627 rakwb eng Ma, Wanglin verfasserin (orcid)0000-0001-7847-8459 aut Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Increasingly, rural households in developing countries are shopping for food online, and the COVID-19 pandemic has accelerated this trend. In parallel, dietary guidelines worldwide recommend eating a balanced and healthy diet. With this in mind, this study explores whether online food shopping boosts dietary diversity—defined as the number of distinct food groups consumed—among rural households in China. Because people choose to shop for food online, it is important to account for the self-selection bias inherent in online food shopping. Accordingly, we estimate the treatment effects of online food shopping on dietary diversity using the endogenous switching model with a count outcome variable. The results indicate that online food shopping increases dietary diversity by 7.34%. We also find that education, asset ownership, and knowing the government’s dietary guidelines are the main factors driving rural households’ decisions to shop for food online. Online food shopping (dpeaa)DE-He213 Dietary diversity (dpeaa)DE-He213 Endogenous switching (dpeaa)DE-He213 Rural China (dpeaa)DE-He213 Vatsa, Puneet aut Zheng, Hongyun (orcid)0000-0002-8205-6563 aut Guo, Yanzhi aut Enthalten in Agricultural and Food Economics Berlin : SpringerOpen, 2013 10(2022), 1 vom: 05. Dez. (DE-627)746705077 (DE-600)2716609-0 2193-7532 nnns volume:10 year:2022 number:1 day:05 month:12 https://dx.doi.org/10.1186/s40100-022-00239-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4367 GBV_ILN_4700 AR 10 2022 1 05 12 |
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10.1186/s40100-022-00239-2 doi (DE-627)SPR048812846 (SPR)s40100-022-00239-2-e DE-627 ger DE-627 rakwb eng Ma, Wanglin verfasserin (orcid)0000-0001-7847-8459 aut Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Increasingly, rural households in developing countries are shopping for food online, and the COVID-19 pandemic has accelerated this trend. In parallel, dietary guidelines worldwide recommend eating a balanced and healthy diet. With this in mind, this study explores whether online food shopping boosts dietary diversity—defined as the number of distinct food groups consumed—among rural households in China. Because people choose to shop for food online, it is important to account for the self-selection bias inherent in online food shopping. Accordingly, we estimate the treatment effects of online food shopping on dietary diversity using the endogenous switching model with a count outcome variable. The results indicate that online food shopping increases dietary diversity by 7.34%. We also find that education, asset ownership, and knowing the government’s dietary guidelines are the main factors driving rural households’ decisions to shop for food online. Online food shopping (dpeaa)DE-He213 Dietary diversity (dpeaa)DE-He213 Endogenous switching (dpeaa)DE-He213 Rural China (dpeaa)DE-He213 Vatsa, Puneet aut Zheng, Hongyun (orcid)0000-0002-8205-6563 aut Guo, Yanzhi aut Enthalten in Agricultural and Food Economics Berlin : SpringerOpen, 2013 10(2022), 1 vom: 05. Dez. (DE-627)746705077 (DE-600)2716609-0 2193-7532 nnns volume:10 year:2022 number:1 day:05 month:12 https://dx.doi.org/10.1186/s40100-022-00239-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4367 GBV_ILN_4700 AR 10 2022 1 05 12 |
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10.1186/s40100-022-00239-2 doi (DE-627)SPR048812846 (SPR)s40100-022-00239-2-e DE-627 ger DE-627 rakwb eng Ma, Wanglin verfasserin (orcid)0000-0001-7847-8459 aut Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Increasingly, rural households in developing countries are shopping for food online, and the COVID-19 pandemic has accelerated this trend. In parallel, dietary guidelines worldwide recommend eating a balanced and healthy diet. With this in mind, this study explores whether online food shopping boosts dietary diversity—defined as the number of distinct food groups consumed—among rural households in China. Because people choose to shop for food online, it is important to account for the self-selection bias inherent in online food shopping. Accordingly, we estimate the treatment effects of online food shopping on dietary diversity using the endogenous switching model with a count outcome variable. The results indicate that online food shopping increases dietary diversity by 7.34%. We also find that education, asset ownership, and knowing the government’s dietary guidelines are the main factors driving rural households’ decisions to shop for food online. Online food shopping (dpeaa)DE-He213 Dietary diversity (dpeaa)DE-He213 Endogenous switching (dpeaa)DE-He213 Rural China (dpeaa)DE-He213 Vatsa, Puneet aut Zheng, Hongyun (orcid)0000-0002-8205-6563 aut Guo, Yanzhi aut Enthalten in Agricultural and Food Economics Berlin : SpringerOpen, 2013 10(2022), 1 vom: 05. Dez. (DE-627)746705077 (DE-600)2716609-0 2193-7532 nnns volume:10 year:2022 number:1 day:05 month:12 https://dx.doi.org/10.1186/s40100-022-00239-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4367 GBV_ILN_4700 AR 10 2022 1 05 12 |
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Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable Online food shopping (dpeaa)DE-He213 Dietary diversity (dpeaa)DE-He213 Endogenous switching (dpeaa)DE-He213 Rural China (dpeaa)DE-He213 |
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does online food shopping boost dietary diversity? application of an endogenous switching model with a count outcome variable |
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Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable |
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Abstract Increasingly, rural households in developing countries are shopping for food online, and the COVID-19 pandemic has accelerated this trend. In parallel, dietary guidelines worldwide recommend eating a balanced and healthy diet. With this in mind, this study explores whether online food shopping boosts dietary diversity—defined as the number of distinct food groups consumed—among rural households in China. Because people choose to shop for food online, it is important to account for the self-selection bias inherent in online food shopping. Accordingly, we estimate the treatment effects of online food shopping on dietary diversity using the endogenous switching model with a count outcome variable. The results indicate that online food shopping increases dietary diversity by 7.34%. We also find that education, asset ownership, and knowing the government’s dietary guidelines are the main factors driving rural households’ decisions to shop for food online. © The Author(s) 2022 |
abstractGer |
Abstract Increasingly, rural households in developing countries are shopping for food online, and the COVID-19 pandemic has accelerated this trend. In parallel, dietary guidelines worldwide recommend eating a balanced and healthy diet. With this in mind, this study explores whether online food shopping boosts dietary diversity—defined as the number of distinct food groups consumed—among rural households in China. Because people choose to shop for food online, it is important to account for the self-selection bias inherent in online food shopping. Accordingly, we estimate the treatment effects of online food shopping on dietary diversity using the endogenous switching model with a count outcome variable. The results indicate that online food shopping increases dietary diversity by 7.34%. We also find that education, asset ownership, and knowing the government’s dietary guidelines are the main factors driving rural households’ decisions to shop for food online. © The Author(s) 2022 |
abstract_unstemmed |
Abstract Increasingly, rural households in developing countries are shopping for food online, and the COVID-19 pandemic has accelerated this trend. In parallel, dietary guidelines worldwide recommend eating a balanced and healthy diet. With this in mind, this study explores whether online food shopping boosts dietary diversity—defined as the number of distinct food groups consumed—among rural households in China. Because people choose to shop for food online, it is important to account for the self-selection bias inherent in online food shopping. Accordingly, we estimate the treatment effects of online food shopping on dietary diversity using the endogenous switching model with a count outcome variable. The results indicate that online food shopping increases dietary diversity by 7.34%. We also find that education, asset ownership, and knowing the government’s dietary guidelines are the main factors driving rural households’ decisions to shop for food online. © The Author(s) 2022 |
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