{"title":"加纳波诺地区薪材价格的市场结构和决定因素","authors":"E. Atinga, R. Bannor, D. A. Sarfo","doi":"10.1108/ijesm-11-2022-0027","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study aims to examine the market structure and the factors influencing the price of fuelwood in the Dormaa Municipal in the Bono region of Ghana.\n\n\nDesign/methodology/approach\nA total of 200 fuelwood harvesters, 20 wholesalers and 20 retailers were sampled by using probability and non-probability sampling methods. Gini coefficient was used to analyse the market structure, whereas quantile regression was used to analyse the factors influencing the pricing of fuelwood.\n\n\nFindings\nThe study results indicated that the fuelwood harvesters’ market is less concentrated, with a Gini coefficient of 0.22, likewise the fuelwood intermediaries’ market, with Gini coefficients of 0.22 and 0.32 for wholesalers and retailers, respectively. The price of fuelwood decreased when sold through the retailer and wholesaler outlets, but the price increased when sold via the end-user outlet. Less smoky fuelwood species attracted higher prices, whereas easy-to-light fuelwood species were sold at lower prices. Furthermore, fuelwood from Perpewa (Celtis zenkeri) and Acacia (Senna siamea) species received the highest prices in the market. It is recommended that fuelwood harvesters establish woodlots with acacia (Senna siamea), especially and Perpewa (Celtis zenkeri), both of which emit less smoke and have high calorific value with fast rotation period. This will ensure fuelwood availability and offer better prices to the harvesters, as such species command high prices in the market.\n\n\nOriginality/value\nThere is paucity or near unavailability of literature on the market structure and the influence of the hedonic attributes on different quartile prices of fuelwood; the result of this study provides the foundational springboard for future studies on fuelwood marketing.\n","PeriodicalId":46430,"journal":{"name":"International Journal of Energy Sector Management","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Market structure and determinants of the pricing of the fuelwood in the Bono region of Ghana\",\"authors\":\"E. Atinga, R. Bannor, D. A. Sarfo\",\"doi\":\"10.1108/ijesm-11-2022-0027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThis study aims to examine the market structure and the factors influencing the price of fuelwood in the Dormaa Municipal in the Bono region of Ghana.\\n\\n\\nDesign/methodology/approach\\nA total of 200 fuelwood harvesters, 20 wholesalers and 20 retailers were sampled by using probability and non-probability sampling methods. Gini coefficient was used to analyse the market structure, whereas quantile regression was used to analyse the factors influencing the pricing of fuelwood.\\n\\n\\nFindings\\nThe study results indicated that the fuelwood harvesters’ market is less concentrated, with a Gini coefficient of 0.22, likewise the fuelwood intermediaries’ market, with Gini coefficients of 0.22 and 0.32 for wholesalers and retailers, respectively. The price of fuelwood decreased when sold through the retailer and wholesaler outlets, but the price increased when sold via the end-user outlet. Less smoky fuelwood species attracted higher prices, whereas easy-to-light fuelwood species were sold at lower prices. Furthermore, fuelwood from Perpewa (Celtis zenkeri) and Acacia (Senna siamea) species received the highest prices in the market. It is recommended that fuelwood harvesters establish woodlots with acacia (Senna siamea), especially and Perpewa (Celtis zenkeri), both of which emit less smoke and have high calorific value with fast rotation period. This will ensure fuelwood availability and offer better prices to the harvesters, as such species command high prices in the market.\\n\\n\\nOriginality/value\\nThere is paucity or near unavailability of literature on the market structure and the influence of the hedonic attributes on different quartile prices of fuelwood; the result of this study provides the foundational springboard for future studies on fuelwood marketing.\\n\",\"PeriodicalId\":46430,\"journal\":{\"name\":\"International Journal of Energy Sector Management\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Energy Sector Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ijesm-11-2022-0027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Energy Sector Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijesm-11-2022-0027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
Market structure and determinants of the pricing of the fuelwood in the Bono region of Ghana
Purpose
This study aims to examine the market structure and the factors influencing the price of fuelwood in the Dormaa Municipal in the Bono region of Ghana.
Design/methodology/approach
A total of 200 fuelwood harvesters, 20 wholesalers and 20 retailers were sampled by using probability and non-probability sampling methods. Gini coefficient was used to analyse the market structure, whereas quantile regression was used to analyse the factors influencing the pricing of fuelwood.
Findings
The study results indicated that the fuelwood harvesters’ market is less concentrated, with a Gini coefficient of 0.22, likewise the fuelwood intermediaries’ market, with Gini coefficients of 0.22 and 0.32 for wholesalers and retailers, respectively. The price of fuelwood decreased when sold through the retailer and wholesaler outlets, but the price increased when sold via the end-user outlet. Less smoky fuelwood species attracted higher prices, whereas easy-to-light fuelwood species were sold at lower prices. Furthermore, fuelwood from Perpewa (Celtis zenkeri) and Acacia (Senna siamea) species received the highest prices in the market. It is recommended that fuelwood harvesters establish woodlots with acacia (Senna siamea), especially and Perpewa (Celtis zenkeri), both of which emit less smoke and have high calorific value with fast rotation period. This will ensure fuelwood availability and offer better prices to the harvesters, as such species command high prices in the market.
Originality/value
There is paucity or near unavailability of literature on the market structure and the influence of the hedonic attributes on different quartile prices of fuelwood; the result of this study provides the foundational springboard for future studies on fuelwood marketing.
期刊介绍:
The International Journal of Energy Sector Management aims to facilitate dissemination of research on issues relating to supply management (covering the entire supply chain of resource finding, extraction, production, treatment, conversion, transportation, distribution and retail supply), demand and usage management, waste management, customer and other stakeholder management, and solutions thereto. The journal covers all forms of energy (non-renewable and renewable), forms of supply (centralised or decentralised), ownership patterns (public or private, cooperative, joint, or any other), market structures (formal, informal, integrated, disintegrated, national, international, local, etc.) and degress of commoditisation (e.g. internationally traded, regionally traded, non-traded, etc.). The journal aims to cover a wide range of subjects relevant to the management of the energy sector, including but not limited to: Management of scarce resources (economic, financial, human and natural), projects, activities and concerns (e.g. regulatory, social and environmental aspects), technologies and knowledge Business strategy, policy and planning as well as decision support systems for energy sector management Business organisation, structure and environment, and changes thereto Globalisation and multi-cultural management Management of innovation, change and transition.