An assessment of marine food security in the Western Indian Ocean and the likely impacts of climate change
- Taylor, Sarah Frances Wedgwood
- Authors: Taylor, Sarah Frances Wedgwood
- Date: 2019
- Subjects: Food security
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/44528 , vital:38140
- Description: The Western Indian Ocean hosts the second largest coastal population on the planet and supports 4 million tons of fish catches annually yielding $943 million in revenues and employment. However, it has been warming at a rate faster than any other region of the tropical oceans over the last century thereby placing the challenges of fluctuating fish supply and changes in ocean productivity on coastal communities. With the global food system under mounting pressure, governments need to understand the relationship between fish supply and food security to avoid overseeing the important role fish and fisheries play in ensuring food security. This study provides an alternative view and measurement of food security at a national level by assessing the impact that macroeconomic variables and climate change have on fish supply in Kenya, South Africa, and Tanzania as case study countries of the Western Indian Ocean. Vector Error Correction Models were run to analyse the impact of economic growth, fishing effort, lending interest rates, and climate change on marine food security for the period of 1980-2016. Agricultural employment was used as a proxy for fishing effort. In general, the relationship between fish supply and fishing effort is negative in the short run and positive in the long run for Kenyan marine fisheries, South African total capture and marine fisheries, and Tanzanian capture fisheries. These results therefore oppose the theoretical expectations. Sea surface temperature, as a proxy of climate change, was found to have a negative impact overall on fish supply and therefore exerts a negative impact on marine food security in all three countries. The results emphasise the need to use disaggregated fisheries statistics to better understand the complex relationship between macroeconomic variables and fish supply. By doing so, more effective food security policies can be created in attempt to mitigate the potential negative impacts of climate change on marine food security in the Western Indian Ocean.
- Full Text:
- Date Issued: 2019
- Authors: Taylor, Sarah Frances Wedgwood
- Date: 2019
- Subjects: Food security
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/44528 , vital:38140
- Description: The Western Indian Ocean hosts the second largest coastal population on the planet and supports 4 million tons of fish catches annually yielding $943 million in revenues and employment. However, it has been warming at a rate faster than any other region of the tropical oceans over the last century thereby placing the challenges of fluctuating fish supply and changes in ocean productivity on coastal communities. With the global food system under mounting pressure, governments need to understand the relationship between fish supply and food security to avoid overseeing the important role fish and fisheries play in ensuring food security. This study provides an alternative view and measurement of food security at a national level by assessing the impact that macroeconomic variables and climate change have on fish supply in Kenya, South Africa, and Tanzania as case study countries of the Western Indian Ocean. Vector Error Correction Models were run to analyse the impact of economic growth, fishing effort, lending interest rates, and climate change on marine food security for the period of 1980-2016. Agricultural employment was used as a proxy for fishing effort. In general, the relationship between fish supply and fishing effort is negative in the short run and positive in the long run for Kenyan marine fisheries, South African total capture and marine fisheries, and Tanzanian capture fisheries. These results therefore oppose the theoretical expectations. Sea surface temperature, as a proxy of climate change, was found to have a negative impact overall on fish supply and therefore exerts a negative impact on marine food security in all three countries. The results emphasise the need to use disaggregated fisheries statistics to better understand the complex relationship between macroeconomic variables and fish supply. By doing so, more effective food security policies can be created in attempt to mitigate the potential negative impacts of climate change on marine food security in the Western Indian Ocean.
- Full Text:
- Date Issued: 2019
Perceptions of climatic change and food insecurity: a case study of Buhera District, Eastern Zimbabwe
- Authors: Mashiri, Martin
- Date: 2019
- Subjects: Food security
- Language: English
- Type: Thesis , Masters , MSoc (Rural Development)
- Identifier: http://hdl.handle.net/10353/16287 , vital:40706
- Description: The world is experiencing strange weather conditions which have, arguably not been experienced before. Some parts of the world are experiencing severe drought, other parts are receiving above normal rainfall associated with violent cyclones. The changing environmental conditions are perceived by environmental scientists as the consequences of climatic change that has been triggered by global warming which has been largely attributed to an increase of greenhouse emissions due to human activities such as transportation, industry and energy production. Sub-Saharan Africa contributes the least greenhouse gas emissions in the world but it is unfortunate that the region is suffering most from the perceived impacts of climatic change. The region has been experiencing prolonged drought conditions that have negatively impacted food production and it is projected that millions will suffer malnutrition and starvation in future if the perceived causes of climatic change are not addressed. This research seeks to make an in-depth analysis on the perceptions of climatic change and food insecurity in Buhera district east of Zimbabwe. The researcher used interviews and observations to gather firsthand information from a diverse number of participants. The findings of this research largely drew upon the Sustainable Livelihood Framework as a lens for interpretation. The results of this research indicate that there is less food available in Buhera due to poor crop production; perceived to be as a result of the changing climate
- Full Text:
- Date Issued: 2019
- Authors: Mashiri, Martin
- Date: 2019
- Subjects: Food security
- Language: English
- Type: Thesis , Masters , MSoc (Rural Development)
- Identifier: http://hdl.handle.net/10353/16287 , vital:40706
- Description: The world is experiencing strange weather conditions which have, arguably not been experienced before. Some parts of the world are experiencing severe drought, other parts are receiving above normal rainfall associated with violent cyclones. The changing environmental conditions are perceived by environmental scientists as the consequences of climatic change that has been triggered by global warming which has been largely attributed to an increase of greenhouse emissions due to human activities such as transportation, industry and energy production. Sub-Saharan Africa contributes the least greenhouse gas emissions in the world but it is unfortunate that the region is suffering most from the perceived impacts of climatic change. The region has been experiencing prolonged drought conditions that have negatively impacted food production and it is projected that millions will suffer malnutrition and starvation in future if the perceived causes of climatic change are not addressed. This research seeks to make an in-depth analysis on the perceptions of climatic change and food insecurity in Buhera district east of Zimbabwe. The researcher used interviews and observations to gather firsthand information from a diverse number of participants. The findings of this research largely drew upon the Sustainable Livelihood Framework as a lens for interpretation. The results of this research indicate that there is less food available in Buhera due to poor crop production; perceived to be as a result of the changing climate
- Full Text:
- Date Issued: 2019
Rural household dietary diversity and food security in Raymond Mhlaba local municipality
- Authors: Mnukwa, Minentle Lwando
- Date: 2019
- Subjects: Food security
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/17282 , vital:40872
- Description: In order to formulate or implement relevant food security programmes in rural areas, it is important to have a deep understanding of the food security status of rural households. Accordingly, this study was conducted to assess the food security status of rural households in Raymond Mhlaba Local Municipality. The study also sought to identify the socio-economic characteristics that influence household food security status. The research relied on primary data. Primary data were collected by using a structured questionnaire, which covered both demographic features of respondent households, and their recent food consumption patterns. The household survey was conducted among 272 participants of Raymond Mhlaba Local Municipality. Statistical tools employed in this study included both descriptive and inferential statistics. The main descriptive statistics used were frequency tables, means and percentages in relation to a number of demographic characteristics and food security indicators. The main indicator of food security/insecurity used in the study was the Household Dietary Diversity Score (HDDS). After calculating the HDDS for each household, households were defined as either food secure or insecure depending on whether their HDDS was above or below the average HDDS. A logistic regression model (binary or dichotomous) was then used to identify socio-economic factors that influence some households to have above-average rather than below-average food security levels. The Binary logistic regression model revealed that four out of eight variables included in the model were significant in explaining the variation in the food security situation of households in the study areas, namely age of household head, education level of household head, household income and household size. Of these, the first three were positively associated with aboveaverage food security status, while household size had a negative association. A Tobit model was further used to identify the determinants of the household dietary diversity score. The exact same variables were significant from the Tobit analysis, and in the same manner.
- Full Text:
- Date Issued: 2019
- Authors: Mnukwa, Minentle Lwando
- Date: 2019
- Subjects: Food security
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/17282 , vital:40872
- Description: In order to formulate or implement relevant food security programmes in rural areas, it is important to have a deep understanding of the food security status of rural households. Accordingly, this study was conducted to assess the food security status of rural households in Raymond Mhlaba Local Municipality. The study also sought to identify the socio-economic characteristics that influence household food security status. The research relied on primary data. Primary data were collected by using a structured questionnaire, which covered both demographic features of respondent households, and their recent food consumption patterns. The household survey was conducted among 272 participants of Raymond Mhlaba Local Municipality. Statistical tools employed in this study included both descriptive and inferential statistics. The main descriptive statistics used were frequency tables, means and percentages in relation to a number of demographic characteristics and food security indicators. The main indicator of food security/insecurity used in the study was the Household Dietary Diversity Score (HDDS). After calculating the HDDS for each household, households were defined as either food secure or insecure depending on whether their HDDS was above or below the average HDDS. A logistic regression model (binary or dichotomous) was then used to identify socio-economic factors that influence some households to have above-average rather than below-average food security levels. The Binary logistic regression model revealed that four out of eight variables included in the model were significant in explaining the variation in the food security situation of households in the study areas, namely age of household head, education level of household head, household income and household size. Of these, the first three were positively associated with aboveaverage food security status, while household size had a negative association. A Tobit model was further used to identify the determinants of the household dietary diversity score. The exact same variables were significant from the Tobit analysis, and in the same manner.
- Full Text:
- Date Issued: 2019
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