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    Measuring Market Potential for Fresh Organic Fruit and Vegetable in Ghana

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    This paper examines the market potential for fresh organic lettuce and water melon with a recently collected data on consumers from Kumasi metropolis of Ghana. Using a doublebounded dichotomous choice contingent valuation technique, consumerโ€™s willingness to pay is estimated with a Tobit model to address the zero willingness to pay responses in the sample data. As much as 71% of the consumers are willing to pay over 50% price premiums for organic vegetables and over 82% are willing to pay 1%โ€“50% price premiums for organic fruits. The empirical results indicate that human capital, product attributes and consumer perception influence consumersโ€™ willing to pay for organic food products. The estimated market potential for organic fruit is GHยข32,117,113 (US26,453,433)perannumandthatoforganicvegetableisGHยข1,991,224(US 26,453,433) per annum and that of organic vegetable is GHยข1,991,224 (US1,640,083) per annum suggesting a huge market potential for organic fruits in Ghana.Willingness to Pay, Price Premium, Organic Products, Consumer Perception, Market Potential, Africa, Crop Production/Industries,

    ์•„ํ”„๋ฆฌ์นด ๊ฐ€๋‚˜์—์„œ ๋‚จํš๊ณผ ์„์œ ์‚ฐ์—…์ด ์–ด์ดŒ ์ƒ๊ณ„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์‚ฌํšŒ๊ณผํ•™๋Œ€ํ•™ ์ง€๋ฆฌํ•™๊ณผ,2020. 2. Edo Andriesse.๋ณธ ๋ฐ•์‚ฌํ•™์œ„๋…ผ๋ฌธ์€ ์•„ํ”„๋ฆฌ์นด ๊ฐ€๋‚˜ ์„œ๋ถ€์˜ ๋‚จํš๊ณผ ์„์œ  ์‚ฐ์—…์ด ์—ฐ์•ˆ์ง€์—ญ์‚ฌํšŒ ์†Œ๊ทœ๋ชจ ์–ด๋ฏผ๋“ค์˜ ์ƒ๊ณ„์— ์–ด๋–ค ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€๋ฅผ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ์–ด์—…๊ณผ ์„์œ  ๋ถ€๋ฌธ์˜ ๊ณต์‹ ๋ฐ ๋น„๊ณต์‹ ํ–‰์œ„์ž์™€์˜ ์ƒํ˜ธ ์ž‘์šฉ๊ณผ ์ด๋“ค ํ–‰์œ„์ž๊ฐ€ ์–ด๋ฏผ๋“ค์˜ ์ƒ๊ณ„ ์ ์‘ ์ „๋žต์„ ์–ด๋–ป๊ฒŒ ํ˜•์„ฑํ–ˆ๋Š”์ง€ ํ™•์ธํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋ฐฉ๋ฒ•์€ 400๋ช…์˜ ์–ด๋ฏผ ๊ฐ€๊ตฌ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์„ค๋ฌธ์กฐ์‚ฌ์™€ 42๋ช…์˜ ํ•ต์‹ฌ ์ดํ•ด๊ด€๊ณ„์ž๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์ธํ„ฐ๋ทฐ๋ฅผ ํ˜ผํ•ฉํ•˜์—ฌ ์ฑ„ํƒํ•˜์˜€๋‹ค. ์„ค๋ฌธ์กฐ์‚ฌ์™€ ์ธํ„ฐ๋ทฐ๋Š” 2018๋…„ 12์›”์—์„œ 2019๋…„ 4์›” ์‚ฌ์ด์— ๊ฐ€๋‚˜์—์„œ Shama ์ง€์—ญ์˜ Apo์™€ Bentsir, Nzema East ์ง€์—ญ์˜ Axim, Ahanta West์˜ Discove์™€ Akiwidaa, ๊ทธ๋ฆฌ๊ณ  Sekondi-Takoradi Metropolis ์ง€์—ญ์˜ Sekondi์™€ New Takoradi์—์„œ ์‹ค์‹œํ•˜์˜€๋‹ค. ์„ค๋ฌธ์กฐ์‚ฌ์™€ ์ธํ„ฐ๋ทฐ ์‘๋‹ต์ž๋Š” ๋ˆˆ๋ฉ์ด ํ‘œ์ง‘๋ฒ•๊ณผ ์˜๋„์  ํ‘œ์ง‘๋ฒ•์„ ํ†ตํ•ด ์„ ๋ฐœ๋˜์—ˆ๋‹ค. ์„ค๋ฌธ์—๋Š” ๊ฐ๊ด€์‹, ๋‹จ๋‹ต์‹, ์„œ์ˆ ์‹ ์งˆ๋ฌธ์ด ํฌํ•จ๋˜์—ˆ๋‹ค. ๋‹จ๋‹ต์‹ ๊ทธ๋ฆฌ๊ณ  ๊ฐ๊ด€์‹ ์งˆ๋ฌธ๋“ค์„ ํ†ตํ•ด์„œ๋Š” ์‘๋‹ต์ž๋“ค์ด ํŠน์ • ๋‹ต๋ณ€์„ ์„ ํƒํ•˜๋„๋ก, ์„œ์ˆ ์‹ ์งˆ๋ฌธ์„ ํ†ตํ•ด์„œ๋Š” ํ˜„์ง€ ์–ด์—… ๊ด€๋ จ ๊ฒฝํ—˜๊ณผ ๊ธฐํƒ€ ๋ฌธ์ œ์— ๋Œ€ํ•ด ์ž์œ ๋กญ๊ฒŒ ์„œ์ˆ ํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ์„ค๋ฌธ์กฐ์‚ฌ ๊ฒฐ๊ณผ๋Š” ์‚ฌํšŒ๊ณผํ•™์ž๋ฅผ ์œ„ํ•œ IBM SPSS ๋ฒ„์ „ 21.0๊ณผ Excel ํ”„๋กœ๊ทธ๋žจ์„ ํ†ตํ•ด ๋ถ„์„ํ•˜์˜€๋‹ค. ์ธํ„ฐ๋ทฐ ๊ฒฐ๊ณผ๋Š” ์ฃผ์ œ๋ณ„๋กœ ๋‹ต๋ณ€์„ ๊ธฐ๋กํ•˜๊ณ  ๋ฒˆ์—ญํ•˜์˜€๋‹ค. ์„ค๋ฌธ์กฐ์‚ฌ์™€ ์ธํ„ฐ๋ทฐ์˜ ๊ฒฐ๊ณผ๋Š” ์•„ํ”„๋ฆฌ์นด ๊ฐ€๋‚˜ ์„œ๋ถ€ ์ง€์—ญ์˜ ์–ด๋ฏผ๋“ค์ด ์–ดํš๋Ÿ‰๊ณผ ์–ด์—… ๊ธฐํšŒ ๊ฐ์†Œ๋กœ ์ธํ•ด ์‚ฌํšŒ๊ฒฝ์ œ์  ์ทจ์•ฝ์„ฑ์ด ๋†’๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค. ์–ดํš๋Ÿ‰๊ณผ ์†Œ๋“์˜ ๊ฐ์†Œ๋Š” ๋‚จํš์ด ์–ด์—… ์ƒ๊ณ„์— ๋ฏธ์น˜๋Š” ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ์˜ ๊ฒฐ๊ณผ์ธ ๊ฒƒ์ด ๋ฐํ˜€์กŒ๋‹ค. ์–ด๋ฏผ๋“ค์˜ ์ด๋™ ์ œํ•œ, ์–ด๊ตฌ์˜ ํŒŒ๊ดด ๋ฐ ๋ชฐ์ˆ˜, ํ•ด์ดˆ์˜ ์กด์žฌ ๋ฐ ํ† ์ง€ ๊ธฐํšŒ์˜ ๋ถ€์กฑ์€ ์„์œ  ์‚ฐ์—…์— ์˜ํ•ด ์œ ๋ฐœ๋˜๋Š” ์ƒ๊ณ„ ์œ„ํ˜‘์˜ ์ฃผ์š” ์š”์ธ๋“ค์ด๋‹ค. ๋‚จํš๊ณผ ์„์œ  ์‹œ์ถ” ํ™œ๋™์˜ ๊ฒฐํ•ฉ ํšจ๊ณผ๋Š” ํ•ด์ƒ ์–ด์—… ๊ณต๊ฐ„ ๊ฐ์†Œ, ํ† ์ง€ ์†Œ์œ  ๋ฐ ๋†์—… ๊ธฐํšŒ์˜ ์ œํ•œ, ํ•ด์–‘ ์ƒํƒœ๊ณ„ ํŒŒ๊ดด๋กœ ์ด์–ด์กŒ๋‹ค. ์ „๋ฐ˜์ ์œผ๋กœ, ์ž์—ฐ์ (natural), ์žฌ์ •์ (financial), ์ธ์ (human), ๋ฌผ๋ฆฌ์ (physical) ์ž๋ณธ์ด ๋‚จํš๊ณผ ์„์œ  ์‚ฐ์—…์˜ ์˜ํ–ฅ์„ ๊ฐ€์žฅ ๋งŽ์ด ๋ฐ›๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ˜„์ง€ ์–ด๋ฏผ๋“ค๊ณผ ๊ณต๋™์ฒด ์ง€๋„์ž๋“ค์€ ๊ธˆ์–ด๊ธฐ(็ฆๆผๆœŸ, closed fishing season)์— ๋Œ€ํ•ด ๋‹ค๋ฅธ ํ‰๊ฐ€๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์—ˆ๋‹ค. ์„ค๋ฌธ์กฐ์‚ฌ์™€ ์ธํ„ฐ๋ทฐ์— ๋”ฐ๋ฅด๋ฉด, ์–ด๋ถ€๋“ค์€ ๊ธˆ์–ด๊ธฐ ์‹œํ–‰๋ณด๋‹ค๋Š” ๋ถˆ๋ฒ• ์–ด์—…์— ๋Œ€ํ•œ ๋ฒ•๋ฅ ์„ ์‹œํ–‰ํ•˜๋Š” ๊ฒƒ์„ ์„ ํ˜ธํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ์–ด๋ฏผ๊ณผ ์ง€๋„์ž๋“ค์˜ ์ƒ์ถฉ๋˜๋Š” ์˜๊ฒฌ์€ (1) ๊ธˆ์–ด๊ธฐ ๋„์ž…์— ๋”ฐ๋ฅธ ์–ด๋ฏผ๋“ค์˜ ์žฌ์ •์ , ์ž์—ฐ์ , ๋ฌธํ™”์  ์ž๋ณธ์˜ ๊ฐ์†Œ์™€, (2) ์˜์‚ฌ ๊ฒฐ์ • ๊ณผ์ •์—์„œ์˜ ์ฐธ์—ฌ ์ˆ˜์ค€์˜ ๊ฒฐ๊ณผ๋กœ ๋ณด์ธ๋‹ค. ์ „๋ฐ˜์ ์œผ๋กœ ์ด์™€ ๊ด€๋ จํ•˜์—ฌ ๋‘ ๊ฐ€์ง€ ๋‹ค๋ฅธ ์ •์น˜์  ๋‹ด๋ก ์ด ์ถฉ๋Œํ•˜๋Š” ํ˜„์ƒ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•œ์ชฝ์€ ์—ฐ์•ˆ ๊ณต๋™์ฒด์˜ ์†Œ๊ทœ๋ชจ ์–ด๋ฏผ๋“ค์˜ ์ž…์žฅ์œผ๋กœ, ์ˆ˜์‚ฐ๋ฒ•์„ ์—„๊ฒฉํ•˜๊ฒŒ ์‹œํ–‰ํ•˜๋Š” ๋™์‹œ์— ๋ชจ๋“  ์–ด๋ฏผ๋“ค์ด ์ž์œ ๋กญ๊ฒŒ ๋ฐ”๋‹ค๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฐœ๋ฐฉ ๋‹ด๋ก ์ด๋‹ค. ๋‹ค๋ฅธ ํ•œ์ชฝ์€ ์ •๋ถ€์™€ ํ™˜๊ฒฝ NGO๋“ค์˜ ์ž…์žฅ์œผ๋กœ, ํ•ด์–‘ ์ž์›์˜ ์žฅ๊ธฐ์ ์ธ ์ง€์† ๊ฐ€๋Šฅ์„ฑ์„ ์œ„ํ•ด ๊ณ„์ ˆ์ ์œผ๋กœ ๋ฐ”๋‹ค์˜ ์‚ฌ์šฉ์„ ๊ธˆ์ง€ํ•˜๋Š” ๋ณด์กด ๋‹ด๋ก ์ด๋‹ค. ๊ฐœ๋ฐฉ ๋‹ด๋ก ์€ ์ตœ๊ทผ ์ œ์‹œ๋˜๊ณ  ์žˆ๋Š” ๊ณผํ•™์  ๊ฒฐ๊ณผ๋“ค์— ์˜ํ•ด ๋ณด์กด ๋‹ด๋ก ์— ์˜ํ•ด ์œ„์ถ•๋˜๊ณ  ์žˆ์Œ์ด ์—ฌ๋Ÿฌ ์‚ฌ๋ก€ ์ง€์—ญ์—์„œ ๋ฐœ๊ฒฌ๋˜๊ณ  ์žˆ๋‹ค. ํ˜„์ง€ ์–ด๋ฏผ๋“ค๊ณผ ์„์œ  ๊ธฐ์—… ์‚ฌ์ด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฐˆ๋“ฑ์€ ํ•ด์ƒ ์œ ์ „ ์ฃผ๋ณ€์˜ ๊ตฌ์—ญ(๋ฒ„ํผ ๊ตฌ์—ญ 500~1,000m)์—์„œ ์ฃผ๋กœ ๋ฐœ์ƒํ•œ๋‹ค. ์ด ์ง€์—ญ์€ ์–ด์—…์ ์œผ๋กœ ๊ทธ๋ฆฌ๊ณ  ์ƒํƒœํ•™์ ์œผ๋กœ ๋งค์šฐ ์ค‘์š”ํ•œ ๊ณณ์ด๋ฉฐ ์ƒ๋‹นํ•œ ์„์œ  ๋ฐ ๊ฐ€์Šค ๋งค์žฅ๋Ÿ‰์„ ๋ณด์œ ํ•˜๊ณ  ์žˆ๋‹ค. ํ•œํŽธ์œผ๋กœ ์ง€์—ญ ์–ด๋ฏผ๋“ค์€ ์œ ์ „ ์ฃผ๋ณ€์˜ ๋น„์˜ฅํ•œ ์–ด์žฅ์— ๋Œ€ํ•œ ์žฅ๊ธฐ์ ์ธ ์‚ฌ์šฉ์„ ์œ ์ง€ํ•˜๊ณ ์ž ํ•œ๋‹ค. ๋ฐ˜๋ฉด, ์„์œ  ๋ฐ ๊ฐ€์Šค ํšŒ์‚ฌ๋Š” ์„์œ  ํƒ์‚ฌ ๋ฐ ์ƒ์‚ฐ์„ ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ๋™์ผํ•œ ํ•ด์ €์— ๋Œ€ํ•œ ์‚ฌ์šฉ๊ถŒ์„ ์–ป๊ณ ์ž ํ•œ๋‹ค. ์ง€์—ญ ์–ด๋ฏผ๋“ค์ด ์ „๊ฐœํ•œ ํ•ด์–‘ ๊ณต๊ฐ„ ๋‚ด ์ด๋™์„ ํ†ตํ•œ ์ƒ๊ณ„ ์ „๋žต์€ ๋‹จ๊ธฐ์ ์ธ ๋Œ€์ฒ˜ ์ „๋žต์œผ๋กœ ํ•ด์„๋œ๋‹ค. ์„œ๋ถ€ ์ง€์—ญ ์–ด๋ฏผ๋“ค ์‚ฌ์ด์—์„œ๋Š” ๋น›๊ณผ ํ™”ํ•™ ๋ฌผ์งˆ์„ ์‚ฌ์šฉํ•œ ๋ถˆ๋ฒ• ๋ฐ ํŒŒ๊ดด์ ์ธ ์–ด์—… ๋ฐฉ๋ฒ•์ด ์œ ํ–‰ํ•˜๊ณ  ์žˆ๋‹ค. ์–ด๋ฏผ๋“ค์˜ ๊ฒฝํ—˜์„ ๋ฐ”ํƒ•์œผ๋กœ ํ•œ ์ ์‘ ์ „๋žต์ด ์ค‘์š”ํ•˜์ง€๋งŒ, ์ง€์† ๊ฐ€๋Šฅํ•˜์ง€ ๋ชปํ•˜๋ฉฐ ๋ถˆ๋ฒ•์ ์ธ ๋ฐฉ๋ฒ•๋“ค์€ ํ•ด์–‘ ์–ด๋ฅ˜์˜ ์žฌ๊ฑด์—์„œ ์—ญํšจ๊ณผ๋ฅผ ๋‚ณ๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ์ง€์† ๊ฐ€๋Šฅํ•œ ์ƒ๊ณ„ ์ ‘๊ทผ๊ณผ ์ •์น˜์ƒํƒœํ•™์—์„œ ํŒŒ์ƒ๋œ ํ–‰์œ„์ž ์ค‘์‹ฌ ์ ‘๊ทผ์„ ํ†ตํ•ฉํ•˜์˜€๊ณ , ์ด๋ฅผ ํ†ตํ•ด ํ•ด์•ˆ์˜ ์ทจ์•ฝ์„ฑ๊ณผ ์ ์‘ ์ „๋žต์„ ์ดํ•ดํ•˜๊ณ  ํ•ด์–‘ ์ž์›์˜ ์žฌ๊ฑด์— ๋Œ€ํ•œ ๋‹ด๋ก ๋“ค์„ ์ดํ•ดํ•˜๋Š” ๋ถ„์„ํ‹€์„ ์ œ๊ณตํ–ˆ๋‹ค๋Š” ์ ์—์„œ ์˜์˜๊ฐ€ ์žˆ๋‹ค.This study is concerned with how overfishing and the petroleum industry has affected the livelihoods of small-scale fisherfolk in the coastal communities of Western Region. It investigates the interaction between formal and informal actors in the fisheries and the petroleum sector and the ways in which these actors influence or shape the livelihood adaptation strategies deployed by coastal fisherfolk. A mixed- methods approach made up of 400 fisherfolk households survey and 42 interviews with stakeholders in the fisheries and the petroleum industries were conducted.. The surveys and interviews were conducted between December 2018 and April 2019 in Ghana. A total of 400 households survey was conducted in Shama (Apo & Bentsir), Nzema East (Axim), Ahanta West (Discove & Akwidaa) and in the (Sekondi-Takoradi Metropolis) Sekondi & New Takoradi. Respondents for the survey and interviews were selected through snowballing and purposive sampling techniques respectively. The questionnaire included closed, open and multiple-choice questions. The closed ended and multiple choice questions permitted respondents to select specific choice of answers while the open ended questions offered the respondents the opportunity to freely talk about their experiences and knowledge related to the local fishing industry and other relevant issues concerning the marine conservation. The statistical package for social scientist IBM SPSS Version 21.0 and Excel spreadsheet were used to analyze the results from the household surveys. The results from the interviews were translated and transcribed where applicable and organized into relevant thematic themes. The survey results coupled with the knowledge obtained from interviews shows that fisherfolk in the Western Region of Ghana are under high levels of socioeconomic vulnerability because of decrease fish catch and declining small-scale fisheries opportunities. Decreased fish catch and low income were found to be the main impact of overfishing on fisherfolk livelihoods. The spatial restriction of fishers mobility offshore, the destruction and confiscation of fishing gear, the presence of seaweed in the ocean, and the lack of land opportunities are some of the key petroleum industry-induced stressors on fisheries livelihoods. The combined effects of overfishing and oil and gas activities has resulted in decreased fishing space at sea, limited land ownership and farming opportunities and destruction of marine ecosystem. Overall, the natural, financial, human and physical capital were find to be the most impacted by overfishing and the petroleum industry. Fisherfolk and local fisheries leaders had different perceptions regarding the ecological effectiveness of closed seasons. The survey results coupled with the knowledge obtained from interviews suggest that fisherfolk prefer the state to enforce the laws on illegal fishing rather than the implementation of closed season. The conflicting perceptions appear to be a result of fisherfolk perceived impact of closed season on their financial, cultural and natural capital as well as their level of participation and perceived influence in decision-making leading to the introduction of the closed season. Overall, two different discursive positions were established with respect to the closed season. An open access fisheries narrative together with strict enforcement of fisheries laws and seasonal closures supported by conservation discourses. The open access argument from the fisherfolk to continue fishing were found to be weak compared to the powerful and dominant scientific conservation narratives by the state and the NGOs. The conflict produced between the local fishers and the petroleum industry occurs at strategic spatial areas at sea (buffer zones -500&1000m radius) around oil fields offshore. These areas are considered ecologically fertile grounds for fisheries and holds considerable oil and gas reserves. On the one hand local fishers seeks to maintain long term access to fertile fishing grounds around the oil fields. On the other hand, oil and gas companies also wants to keep oil reserves in the same seabed to maintain oil exploration and production. The marine spatial mobility livelihood strategies deployed by the local fisherfolk could be described as a short-term coping strategies. Illegal light fishing and other destructive fishing methods such as the use of chemicals is on the increase and are more prevalent among fisherfolk in the Western Region. The various in situ marine-based adaptation strategies deployed by fisherfolk, especially illegal light fishing and fishing around oil rigs, are unsustainable and are counterproductive in the rebuilding of depleted marine fish stocks. The integration of the sustainable livelihoods approach and an actor-oriented approach derived from political ecology served as an important analytical package to understand the current coastal vulnerabilities and adaptation strategies as well as the opposing discourses over the rebuilding of marine resources.Chapter 1. Introduction 1 1.1 Study Background 1 1.2 Research problem 3 1.3 Study objective and research questions 6 1.4 Research method 7 1.4.1 Data gathering techniques 9 1.4.2 Data analysis and interpretation of results 12 1.5 Organization of the study 16 Chapter 2. Literature Review 19 2.1. The Sustainable Livelihoods Approach 19 2.1.1 Livelihood assets 20 2.1.2 The vulnerability context 23 2.1.3 Policies, Institutions and Processes (PIP) 24 2.1.4 Livelihood strategies and outcomes 25 2.2 Political Ecology 27 2.2.1 Themes/Approaches of Political Ecology 28 2.2.2 Power and actor-oriented political ecology 30 2.3 Rational for the integration of SLA and Political ecology (PE) 33 2.3.1 Analytical framework of study 33 Chapter 3. Case study introduction 38 3.1 Introduction to Ghana 38 3.1.1 Western Region of Ghana. 40 3.2 Fisheries management & governance in Ghana 44 3.3 Structure and overview of Ghanas marine fishing sector 54 3.3.1 Increasing capacity amidst decreasing fish catch 57 3.4 The emerging oil and gas industry in Ghana. 62 3.4.1 The petroleum industry, environmental impacts and conflicts: lessons from Sub-Saharan Africa. 64 Chapter 4. Coastal Vulnerabilities and Conflicts Management. 67 4.1 Overview of Household Survey 67 4.2 Impacts of overfishing on the livelihoods of fisherfolk 71 4.3 Impacts of the petroleum industry on the livelihoods of fisherfolk. 74 4.3.1 Livelihood situation before and after oil and gas extraction and production. 77 4.4 Differences and commonalities of vulnerabilities within and among the study areas 80 4.5 Contesting access to the use of coastal waters: The political ecology of closed season. 83 4.5.1 Bottom-up initiatives verse top down approaches 89 4.6 Differences and commonalities of local support for marine conservation 95 4.7 Negotiating marine space in coastal Ghana: the political ecology of fishing and the petroleum industry. 98 Chapter 5. Livelihood Adaptation Strategies 109 5.1 Non-marine based adaptation strategies 109 5.2 Marine โ€“based adaptation strategies. 114 5.3 local area differences and commonalities 131 5.4 Towards an all-inclusive and participatory fisheries governance and management. 137 Chapter 6. Conclusion 142 6.1 Key findings 142 6.2 Empirical and theoretical contributions 144 6.3 Policy Recommendations 149 6.4 Limitations of the study and future research 151 Bibliography 153 APPENDIXES 168 Abstract in Korean. 190 Acknowledgements 193Docto

    Property rights and investment in agriculture: Evidence for Ghana

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    This article develops a theoretical framework to examine the relationship between land tenure agreements and householdsโ€™ investment in land improvement and conservation measures. It then analyzes this relationship with a multivariate probit model based on a survey data from a sample of 560 plots belonging to 246 farmers from 6 villages in the Brong-Ahafo region of Ghana. A major hypothesis tested is that investment in productivity enhancing and conservation techniques are influenced by land tenure systems. The theoretical analysis and empirical results generally reveal that land tenure differences significantly influence farmersโ€™ decisions to invest in land improvement and conservation measures. Furthermore, reduced-form productivity regressions show that tenure differences do affect land productivity.Land tenure; property rights; investment; optimal control; multivariate probit

    Education Expenditures and Economic Growth: Evidence from Ghana

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    This study investigated the relationship between education expenditure and economic growth in Ghana.ย ย  Vector error correction and cointegration analysis are employed to test for the causal relationship between the variables for the period 1970 to 2012. The empirical results show a positive and significant long-run relationship between education expenditures and real GDP, gross capital formation as well labor force participation. The results indicate that education contributes meaningfully to the long-term growth of Ghanaโ€™s economy. Also, in the short-run, Granger causality runs both directions between economic growth and education expenditures. The results may provide some insights into how the formulation and implementation of appropriate fiscal policies relating to education could help improve the quality of education and thereby contributes to economic development of Ghana. Additionally, the study may serve as a guide in the reform of Ghanaโ€™s education policies leading to improved learning and educational outcomes. Keywords: Economic growth, Education Expenditure, Vector Error Correction Mode

    Do Tenure Differences Influence the Improvement of Quality of Rented Land? Empirical Evidence from Rural Ghana

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    The implications of migrant agricultural production for the environment have interested policy makers in sub-Saharan Africa of late. The impacts in the region of migrant destination may be short-term including initial felling of trees, intensive land use, and application of techniques. In the longer term, tenants are expected to adjust their techniques to that of the indigenous landowners. This paper explains how migrant tenants manage the quality of rented plots in the absence of clearly defined property rights with a survey data from rural area in Ghana. An empirical model explaining the probability to invest in land improvements is formulated. The empirical results indicate that tenure differences and income levels of migrants and indigenous landowners play a critical role in investments in land improvements.Land Economics/Use,

    The Development and Promotion of Sweet Potato Yoghurt in Ghana: Implications for Sustainable Production and Consumption Policies

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    This paper analyzes how a newly developed food product (potagurt) with nutritional and health benefits can be promoted in Ghana. We employ the hedonic modeling and contingent valuation methods to estimate monetary values attached to the product's attributes using 400 consumers in the Ashanti, Eastern, and Greater Accra regions of Ghana. The findings reveal that consumers have positive perceptions on the health and nutritional benefits of the product. Buyers place a higher value on potagurt relative to normal yogurt. The high value attached to potagurt is mainly linked to the health, nutritional, food safety, and quality attributes of the product, as well as perception. Consumers' socioeconomic factors such as income, educational, and awareness levels also play a significant role in explaining their choice of the product. The practical implication is that the development and promotion of potagurt could stimulate sustainable economic development through better consumer health and improvement in the livelihoods of many players in the sweet potato value chain, especially the producers of potagurt and sweet potato farmers. We conclude that the promotion of the innovative food product could contribute to sustainable production and consumption of sweet potatoes

    Joint Adoption of Safer Irrigation Technologies under Uncertainty: Evidence from Ghana

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    This paper examines joint adoption of safer irrigation technologies under uncertainty. The new irrigation technologies introduced in sub-Saharan Africa aim at ensuring safer vegetable production when untreated wastewater is used as irrigation water. The main hypothesis tested is that profit and health-related uncertainties influence adoption of safer irrigation technologies. The study employed a cross-sectional data on urban and periurban vegetable farmers in Kumasi of Ghana and examines theoretically and empirically, these possible technology adoption uncertainties, and other relevant factors which influence farmersโ€™ adoption decisions. The empirical results indicate that apart from household and farm characteristics, profit and health-related uncertainties influence adoption of irrigation technologies for safer vegetable production

    Cocoa agroforestry a bridge for sustainable organic cocoa production

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    In Ghana cocoa constitute about 85 percent of the foreign export earnings from agriculture and also the main source of the wealth to over 800,000 people of the forest regions. Cocoa naturally requires shade which offers farmers agronomic, economic, cultural and ecological benefits. The promotion and adoption of hybrid cocoa varieties is causing a drift from shaded cocoa to the no shade. The study evaluated the impact shade levels had on the yield of cocoa under the different cocoa agroforestry systems in Ghana. Research data were collected from 200 cocoa farmers in the Sefwi Wiawso district by means of multistage sampling technique through household structured interviews and focus group discussions. Both descriptive statistics and yield curve model were used to analyse the data. Results showed that average yield per hectare of the no shade, low shade, medium shade and heavy shade were 794kg/Ha, 696kg/Ha, 735kg/Ha and 546kg/Ha respectively. The yield curve under the no shade system shows a sharp rise in the yield and followed by a very sharp fall in the yield after age 16. The medium shade has a gradual yield till it peaks at age 19 followed by a gradual fall in yield to age 80. Outreach focusing on medium shade cocoa agroforestry system may be the most effective way of building organic bridges in cocoa production

    Macroeconomic Variables and Stock Market Returns: Full Information Maximum Likelihood Estimation

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    This study examines the relationship between macroeconomic variables and stock market returns using monthly data over period January 1992 to December, 2008. Macroeconomic variables used in this study are consumer price index (as a proxy for inflation), crude oil price, exchange rate and 91 day Treasury bill rate (as a proxy for interest rate). Full Information Maximum Likelihood Estimation procedure was used in establishing the relationship between macroeconomic variables and stock market returns in Ghana. The empirical results reveal that there is a significant relationship between stock market returns and three macroeconomic variables; consumer price index (inflation rate), exchange rate and Treasury bill rate seem to affect stock market returns. Consumer price index (Inflation rate) had a positive significant effect, while exchange rate and Treasury bill rate had negative significant influence on stock market returns. On the other hand, crude oil prices do not appear to have any significant effect on stock returns. The results may provide some insight to corporate managers, investors and policy makers. Key words: stock market returns, inflation rate, crude oil price, exchange rate, interest rate, Ghan
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