Consumption patterns of organic vegetable consumers in Ghana
The study examined organic vegetable attributes, consumer decisions and consumption patterns of consumers in Ghana. A sample of 399 consumers was selected using a simple random sampling technique and data was collected through structured questionnaires. The study analyzed the important attributes of...
Ausführliche Beschreibung
Autor*in: |
Wongnaa, Camillus Abawiera [verfasserIn] Prah, Stephen [verfasserIn] Austin, Samuel Asare [verfasserIn] Agyei Amponsah, Emmanuel [verfasserIn] Achina, Caleb [verfasserIn] Aban Ekow, Davis [verfasserIn] Mazzola, Iddris Hudard [verfasserIn] Tweneboa Kwaku, Samuel [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2024 |
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Rechteinformationen: |
Open Access Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International ; CC BY-NC-ND 4.0 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Cleaner and responsible consumption - Amsterdam : Elsevier, 2010, 12(2024) vom: März, Artikel-ID 100159, Seite 1-14 |
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Übergeordnetes Werk: |
volume:12 ; year:2024 ; month:03 ; elocationid:100159 ; pages:1-14 |
Links: |
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DOI / URN: |
10.1016/j.clrc.2023.100159 |
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Katalog-ID: |
1886819572 |
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10.1016/j.clrc.2023.100159 doi (DE-627)1886819572 (DE-599)KXP1886819572 DE-627 ger DE-627 rda eng C24 C31 E21 Q18 jelc Wongnaa, Camillus Abawiera verfasserin (DE-588)1236024117 (DE-627)1761252674 aut Consumption patterns of organic vegetable consumers in Ghana Camillus Abawiera Wongnaa, Stephen Prah, Samuel Asare Austin, Emmanuel Agyei Amponsah, Caleb Achina, Davis Aban Ekow, Iddris Hudard Mazzola, Samuel Tweneboa Kwaku 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 The study examined organic vegetable attributes, consumer decisions and consumption patterns of consumers in Ghana. A sample of 399 consumers was selected using a simple random sampling technique and data was collected through structured questionnaires. The study analyzed the important attributes of organic vegetables using Kendall's coefficient of concordance. The factors influencing consumers' decision to consume organic vegetables and the proportion of their total expenditure allocated to organic vegetables was analyzed using Cragg's double hurdle model. Finally, ordered logit regression was employed to analyse the factors influencing the consumption patterns of organic vegetables consumers. The results revealed that consumers prioritize health concerns and sensory attributes when purchasing organic vegetables as these were identified as the most important attributes. Also, socioeconomic factors, viz. age group, educational level and income level, as well as institutional factors, viz. market type, availability of organic vegetables and accreditation, significantly influenced the decision and expenditure on organic vegetables. In addition, consumers exhibited irregular consumption patterns, and a significant proportion of consumers acquired information about organic vegetables through family and friends. Furthermore, the ordered logit regression analysis revealed several factors that significantly influenced the consumption patterns of organic vegetables. These include age category, educational level, household head, household size, income level, type of market, time to market, and accreditation. The study recommends that government and other stakeholders should consider consumers' consumption patterns, attributes of organic vegetables they consider prior to purchasing as well as factors influencing their decision-making when developing marketing strategies and policies for organic vegetable farmers. This approach can help meet consumer demands and help improve the development and promotion of organic vegetables in the market. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Consumption pattern (dpeaa)DE-206 Cragg double hurdle (dpeaa)DE-206 Ghana (dpeaa)DE-206 Ordered logistic regression (dpeaa)DE-206 Organic vegetables (dpeaa)DE-206 Prah, Stephen verfasserin aut Austin, Samuel Asare verfasserin aut Agyei Amponsah, Emmanuel verfasserin aut Achina, Caleb verfasserin aut Aban Ekow, Davis verfasserin aut Mazzola, Iddris Hudard verfasserin aut Tweneboa Kwaku, Samuel verfasserin aut Enthalten in Cleaner and responsible consumption Amsterdam : Elsevier, 2010 12(2024) vom: März, Artikel-ID 100159, Seite 1-14 Online-Ressource (DE-627)1752953533 (DE-600)3059080-2 2666-7843 nnns volume:12 year:2024 month:03 elocationid:100159 pages:1-14 https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.clrc.2023.100159 Resolving-System kostenfrei 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_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_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 12 2024 3 100159 1-14 26 01 0206 4515589601 x1z 24-04-24 2403 01 DE-LFER 452156741X 00 --%%-- --%%-- n --%%-- l01 08-05-24 2403 01 DE-LFER https://doi.org/10.1016/j.clrc.2023.100159 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf |
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10.1016/j.clrc.2023.100159 doi (DE-627)1886819572 (DE-599)KXP1886819572 DE-627 ger DE-627 rda eng C24 C31 E21 Q18 jelc Wongnaa, Camillus Abawiera verfasserin (DE-588)1236024117 (DE-627)1761252674 aut Consumption patterns of organic vegetable consumers in Ghana Camillus Abawiera Wongnaa, Stephen Prah, Samuel Asare Austin, Emmanuel Agyei Amponsah, Caleb Achina, Davis Aban Ekow, Iddris Hudard Mazzola, Samuel Tweneboa Kwaku 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 The study examined organic vegetable attributes, consumer decisions and consumption patterns of consumers in Ghana. A sample of 399 consumers was selected using a simple random sampling technique and data was collected through structured questionnaires. The study analyzed the important attributes of organic vegetables using Kendall's coefficient of concordance. The factors influencing consumers' decision to consume organic vegetables and the proportion of their total expenditure allocated to organic vegetables was analyzed using Cragg's double hurdle model. Finally, ordered logit regression was employed to analyse the factors influencing the consumption patterns of organic vegetables consumers. The results revealed that consumers prioritize health concerns and sensory attributes when purchasing organic vegetables as these were identified as the most important attributes. Also, socioeconomic factors, viz. age group, educational level and income level, as well as institutional factors, viz. market type, availability of organic vegetables and accreditation, significantly influenced the decision and expenditure on organic vegetables. In addition, consumers exhibited irregular consumption patterns, and a significant proportion of consumers acquired information about organic vegetables through family and friends. Furthermore, the ordered logit regression analysis revealed several factors that significantly influenced the consumption patterns of organic vegetables. These include age category, educational level, household head, household size, income level, type of market, time to market, and accreditation. The study recommends that government and other stakeholders should consider consumers' consumption patterns, attributes of organic vegetables they consider prior to purchasing as well as factors influencing their decision-making when developing marketing strategies and policies for organic vegetable farmers. This approach can help meet consumer demands and help improve the development and promotion of organic vegetables in the market. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Consumption pattern (dpeaa)DE-206 Cragg double hurdle (dpeaa)DE-206 Ghana (dpeaa)DE-206 Ordered logistic regression (dpeaa)DE-206 Organic vegetables (dpeaa)DE-206 Prah, Stephen verfasserin aut Austin, Samuel Asare verfasserin aut Agyei Amponsah, Emmanuel verfasserin aut Achina, Caleb verfasserin aut Aban Ekow, Davis verfasserin aut Mazzola, Iddris Hudard verfasserin aut Tweneboa Kwaku, Samuel verfasserin aut Enthalten in Cleaner and responsible consumption Amsterdam : Elsevier, 2010 12(2024) vom: März, Artikel-ID 100159, Seite 1-14 Online-Ressource (DE-627)1752953533 (DE-600)3059080-2 2666-7843 nnns volume:12 year:2024 month:03 elocationid:100159 pages:1-14 https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.clrc.2023.100159 Resolving-System kostenfrei 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_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_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 12 2024 3 100159 1-14 26 01 0206 4515589601 x1z 24-04-24 2403 01 DE-LFER 452156741X 00 --%%-- --%%-- n --%%-- l01 08-05-24 2403 01 DE-LFER https://doi.org/10.1016/j.clrc.2023.100159 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf |
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10.1016/j.clrc.2023.100159 doi (DE-627)1886819572 (DE-599)KXP1886819572 DE-627 ger DE-627 rda eng C24 C31 E21 Q18 jelc Wongnaa, Camillus Abawiera verfasserin (DE-588)1236024117 (DE-627)1761252674 aut Consumption patterns of organic vegetable consumers in Ghana Camillus Abawiera Wongnaa, Stephen Prah, Samuel Asare Austin, Emmanuel Agyei Amponsah, Caleb Achina, Davis Aban Ekow, Iddris Hudard Mazzola, Samuel Tweneboa Kwaku 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 The study examined organic vegetable attributes, consumer decisions and consumption patterns of consumers in Ghana. A sample of 399 consumers was selected using a simple random sampling technique and data was collected through structured questionnaires. The study analyzed the important attributes of organic vegetables using Kendall's coefficient of concordance. The factors influencing consumers' decision to consume organic vegetables and the proportion of their total expenditure allocated to organic vegetables was analyzed using Cragg's double hurdle model. Finally, ordered logit regression was employed to analyse the factors influencing the consumption patterns of organic vegetables consumers. The results revealed that consumers prioritize health concerns and sensory attributes when purchasing organic vegetables as these were identified as the most important attributes. Also, socioeconomic factors, viz. age group, educational level and income level, as well as institutional factors, viz. market type, availability of organic vegetables and accreditation, significantly influenced the decision and expenditure on organic vegetables. In addition, consumers exhibited irregular consumption patterns, and a significant proportion of consumers acquired information about organic vegetables through family and friends. Furthermore, the ordered logit regression analysis revealed several factors that significantly influenced the consumption patterns of organic vegetables. These include age category, educational level, household head, household size, income level, type of market, time to market, and accreditation. The study recommends that government and other stakeholders should consider consumers' consumption patterns, attributes of organic vegetables they consider prior to purchasing as well as factors influencing their decision-making when developing marketing strategies and policies for organic vegetable farmers. This approach can help meet consumer demands and help improve the development and promotion of organic vegetables in the market. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Consumption pattern (dpeaa)DE-206 Cragg double hurdle (dpeaa)DE-206 Ghana (dpeaa)DE-206 Ordered logistic regression (dpeaa)DE-206 Organic vegetables (dpeaa)DE-206 Prah, Stephen verfasserin aut Austin, Samuel Asare verfasserin aut Agyei Amponsah, Emmanuel verfasserin aut Achina, Caleb verfasserin aut Aban Ekow, Davis verfasserin aut Mazzola, Iddris Hudard verfasserin aut Tweneboa Kwaku, Samuel verfasserin aut Enthalten in Cleaner and responsible consumption Amsterdam : Elsevier, 2010 12(2024) vom: März, Artikel-ID 100159, Seite 1-14 Online-Ressource (DE-627)1752953533 (DE-600)3059080-2 2666-7843 nnns volume:12 year:2024 month:03 elocationid:100159 pages:1-14 https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.clrc.2023.100159 Resolving-System kostenfrei 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_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_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 12 2024 3 100159 1-14 26 01 0206 4515589601 x1z 24-04-24 2403 01 DE-LFER 452156741X 00 --%%-- --%%-- n --%%-- l01 08-05-24 2403 01 DE-LFER https://doi.org/10.1016/j.clrc.2023.100159 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf |
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10.1016/j.clrc.2023.100159 doi (DE-627)1886819572 (DE-599)KXP1886819572 DE-627 ger DE-627 rda eng C24 C31 E21 Q18 jelc Wongnaa, Camillus Abawiera verfasserin (DE-588)1236024117 (DE-627)1761252674 aut Consumption patterns of organic vegetable consumers in Ghana Camillus Abawiera Wongnaa, Stephen Prah, Samuel Asare Austin, Emmanuel Agyei Amponsah, Caleb Achina, Davis Aban Ekow, Iddris Hudard Mazzola, Samuel Tweneboa Kwaku 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 The study examined organic vegetable attributes, consumer decisions and consumption patterns of consumers in Ghana. A sample of 399 consumers was selected using a simple random sampling technique and data was collected through structured questionnaires. The study analyzed the important attributes of organic vegetables using Kendall's coefficient of concordance. The factors influencing consumers' decision to consume organic vegetables and the proportion of their total expenditure allocated to organic vegetables was analyzed using Cragg's double hurdle model. Finally, ordered logit regression was employed to analyse the factors influencing the consumption patterns of organic vegetables consumers. The results revealed that consumers prioritize health concerns and sensory attributes when purchasing organic vegetables as these were identified as the most important attributes. Also, socioeconomic factors, viz. age group, educational level and income level, as well as institutional factors, viz. market type, availability of organic vegetables and accreditation, significantly influenced the decision and expenditure on organic vegetables. In addition, consumers exhibited irregular consumption patterns, and a significant proportion of consumers acquired information about organic vegetables through family and friends. Furthermore, the ordered logit regression analysis revealed several factors that significantly influenced the consumption patterns of organic vegetables. These include age category, educational level, household head, household size, income level, type of market, time to market, and accreditation. The study recommends that government and other stakeholders should consider consumers' consumption patterns, attributes of organic vegetables they consider prior to purchasing as well as factors influencing their decision-making when developing marketing strategies and policies for organic vegetable farmers. This approach can help meet consumer demands and help improve the development and promotion of organic vegetables in the market. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Consumption pattern (dpeaa)DE-206 Cragg double hurdle (dpeaa)DE-206 Ghana (dpeaa)DE-206 Ordered logistic regression (dpeaa)DE-206 Organic vegetables (dpeaa)DE-206 Prah, Stephen verfasserin aut Austin, Samuel Asare verfasserin aut Agyei Amponsah, Emmanuel verfasserin aut Achina, Caleb verfasserin aut Aban Ekow, Davis verfasserin aut Mazzola, Iddris Hudard verfasserin aut Tweneboa Kwaku, Samuel verfasserin aut Enthalten in Cleaner and responsible consumption Amsterdam : Elsevier, 2010 12(2024) vom: März, Artikel-ID 100159, Seite 1-14 Online-Ressource (DE-627)1752953533 (DE-600)3059080-2 2666-7843 nnns volume:12 year:2024 month:03 elocationid:100159 pages:1-14 https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.clrc.2023.100159 Resolving-System kostenfrei 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_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_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 12 2024 3 100159 1-14 26 01 0206 4515589601 x1z 24-04-24 2403 01 DE-LFER 452156741X 00 --%%-- --%%-- n --%%-- l01 08-05-24 2403 01 DE-LFER https://doi.org/10.1016/j.clrc.2023.100159 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf |
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10.1016/j.clrc.2023.100159 doi (DE-627)1886819572 (DE-599)KXP1886819572 DE-627 ger DE-627 rda eng C24 C31 E21 Q18 jelc Wongnaa, Camillus Abawiera verfasserin (DE-588)1236024117 (DE-627)1761252674 aut Consumption patterns of organic vegetable consumers in Ghana Camillus Abawiera Wongnaa, Stephen Prah, Samuel Asare Austin, Emmanuel Agyei Amponsah, Caleb Achina, Davis Aban Ekow, Iddris Hudard Mazzola, Samuel Tweneboa Kwaku 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 The study examined organic vegetable attributes, consumer decisions and consumption patterns of consumers in Ghana. A sample of 399 consumers was selected using a simple random sampling technique and data was collected through structured questionnaires. The study analyzed the important attributes of organic vegetables using Kendall's coefficient of concordance. The factors influencing consumers' decision to consume organic vegetables and the proportion of their total expenditure allocated to organic vegetables was analyzed using Cragg's double hurdle model. Finally, ordered logit regression was employed to analyse the factors influencing the consumption patterns of organic vegetables consumers. The results revealed that consumers prioritize health concerns and sensory attributes when purchasing organic vegetables as these were identified as the most important attributes. Also, socioeconomic factors, viz. age group, educational level and income level, as well as institutional factors, viz. market type, availability of organic vegetables and accreditation, significantly influenced the decision and expenditure on organic vegetables. In addition, consumers exhibited irregular consumption patterns, and a significant proportion of consumers acquired information about organic vegetables through family and friends. Furthermore, the ordered logit regression analysis revealed several factors that significantly influenced the consumption patterns of organic vegetables. These include age category, educational level, household head, household size, income level, type of market, time to market, and accreditation. The study recommends that government and other stakeholders should consider consumers' consumption patterns, attributes of organic vegetables they consider prior to purchasing as well as factors influencing their decision-making when developing marketing strategies and policies for organic vegetable farmers. This approach can help meet consumer demands and help improve the development and promotion of organic vegetables in the market. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ Consumption pattern (dpeaa)DE-206 Cragg double hurdle (dpeaa)DE-206 Ghana (dpeaa)DE-206 Ordered logistic regression (dpeaa)DE-206 Organic vegetables (dpeaa)DE-206 Prah, Stephen verfasserin aut Austin, Samuel Asare verfasserin aut Agyei Amponsah, Emmanuel verfasserin aut Achina, Caleb verfasserin aut Aban Ekow, Davis verfasserin aut Mazzola, Iddris Hudard verfasserin aut Tweneboa Kwaku, Samuel verfasserin aut Enthalten in Cleaner and responsible consumption Amsterdam : Elsevier, 2010 12(2024) vom: März, Artikel-ID 100159, Seite 1-14 Online-Ressource (DE-627)1752953533 (DE-600)3059080-2 2666-7843 nnns volume:12 year:2024 month:03 elocationid:100159 pages:1-14 https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.clrc.2023.100159 Resolving-System kostenfrei 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_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_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 12 2024 3 100159 1-14 26 01 0206 4515589601 x1z 24-04-24 2403 01 DE-LFER 452156741X 00 --%%-- --%%-- n --%%-- l01 08-05-24 2403 01 DE-LFER https://doi.org/10.1016/j.clrc.2023.100159 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf |
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Consumption patterns of organic vegetable consumers in Ghana |
abstract |
The study examined organic vegetable attributes, consumer decisions and consumption patterns of consumers in Ghana. A sample of 399 consumers was selected using a simple random sampling technique and data was collected through structured questionnaires. The study analyzed the important attributes of organic vegetables using Kendall's coefficient of concordance. The factors influencing consumers' decision to consume organic vegetables and the proportion of their total expenditure allocated to organic vegetables was analyzed using Cragg's double hurdle model. Finally, ordered logit regression was employed to analyse the factors influencing the consumption patterns of organic vegetables consumers. The results revealed that consumers prioritize health concerns and sensory attributes when purchasing organic vegetables as these were identified as the most important attributes. Also, socioeconomic factors, viz. age group, educational level and income level, as well as institutional factors, viz. market type, availability of organic vegetables and accreditation, significantly influenced the decision and expenditure on organic vegetables. In addition, consumers exhibited irregular consumption patterns, and a significant proportion of consumers acquired information about organic vegetables through family and friends. Furthermore, the ordered logit regression analysis revealed several factors that significantly influenced the consumption patterns of organic vegetables. These include age category, educational level, household head, household size, income level, type of market, time to market, and accreditation. The study recommends that government and other stakeholders should consider consumers' consumption patterns, attributes of organic vegetables they consider prior to purchasing as well as factors influencing their decision-making when developing marketing strategies and policies for organic vegetable farmers. This approach can help meet consumer demands and help improve the development and promotion of organic vegetables in the market. |
abstractGer |
The study examined organic vegetable attributes, consumer decisions and consumption patterns of consumers in Ghana. A sample of 399 consumers was selected using a simple random sampling technique and data was collected through structured questionnaires. The study analyzed the important attributes of organic vegetables using Kendall's coefficient of concordance. The factors influencing consumers' decision to consume organic vegetables and the proportion of their total expenditure allocated to organic vegetables was analyzed using Cragg's double hurdle model. Finally, ordered logit regression was employed to analyse the factors influencing the consumption patterns of organic vegetables consumers. The results revealed that consumers prioritize health concerns and sensory attributes when purchasing organic vegetables as these were identified as the most important attributes. Also, socioeconomic factors, viz. age group, educational level and income level, as well as institutional factors, viz. market type, availability of organic vegetables and accreditation, significantly influenced the decision and expenditure on organic vegetables. In addition, consumers exhibited irregular consumption patterns, and a significant proportion of consumers acquired information about organic vegetables through family and friends. Furthermore, the ordered logit regression analysis revealed several factors that significantly influenced the consumption patterns of organic vegetables. These include age category, educational level, household head, household size, income level, type of market, time to market, and accreditation. The study recommends that government and other stakeholders should consider consumers' consumption patterns, attributes of organic vegetables they consider prior to purchasing as well as factors influencing their decision-making when developing marketing strategies and policies for organic vegetable farmers. This approach can help meet consumer demands and help improve the development and promotion of organic vegetables in the market. |
abstract_unstemmed |
The study examined organic vegetable attributes, consumer decisions and consumption patterns of consumers in Ghana. A sample of 399 consumers was selected using a simple random sampling technique and data was collected through structured questionnaires. The study analyzed the important attributes of organic vegetables using Kendall's coefficient of concordance. The factors influencing consumers' decision to consume organic vegetables and the proportion of their total expenditure allocated to organic vegetables was analyzed using Cragg's double hurdle model. Finally, ordered logit regression was employed to analyse the factors influencing the consumption patterns of organic vegetables consumers. The results revealed that consumers prioritize health concerns and sensory attributes when purchasing organic vegetables as these were identified as the most important attributes. Also, socioeconomic factors, viz. age group, educational level and income level, as well as institutional factors, viz. market type, availability of organic vegetables and accreditation, significantly influenced the decision and expenditure on organic vegetables. In addition, consumers exhibited irregular consumption patterns, and a significant proportion of consumers acquired information about organic vegetables through family and friends. Furthermore, the ordered logit regression analysis revealed several factors that significantly influenced the consumption patterns of organic vegetables. These include age category, educational level, household head, household size, income level, type of market, time to market, and accreditation. The study recommends that government and other stakeholders should consider consumers' consumption patterns, attributes of organic vegetables they consider prior to purchasing as well as factors influencing their decision-making when developing marketing strategies and policies for organic vegetable farmers. This approach can help meet consumer demands and help improve the development and promotion of organic vegetables in the market. |
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title_short |
Consumption patterns of organic vegetable consumers in Ghana |
url |
https://www.sciencedirect.com/science/article/pii/S2666784323000608/pdfft?md5=9a942a501971da11dd1541965086ca85&pid=1-s2.0-S2666784323000608-main.pdf https://doi.org/10.1016/j.clrc.2023.100159 |
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Prah, Stephen Austin, Samuel Asare Agyei Amponsah, Emmanuel Achina, Caleb Aban Ekow, Davis Mazzola, Iddris Hudard Tweneboa Kwaku, Samuel |
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score |
7.398801 |