Tanzanian economic review最新文献_第3页

Agriculture-led Industrialization for Inclusive Growth in Tanzania 坦桑尼亚以农业为主导的工业化促进包容性增长

Tanzanian economic review Pub Date : 2023-08-07 DOI: 10.56279/ter.v13i1.149

J. Mtui

{"title":"Agriculture-led Industrialization for Inclusive Growth in Tanzania","authors":"J. Mtui","doi":"10.56279/ter.v13i1.149","DOIUrl":"https://doi.org/10.56279/ter.v13i1.149","url":null,"abstract":"This study analyses the interdependence between industry and agriculture sectors forsocio-economic development and poverty reduction in Tanzania during the 1970–2018period. The study used the Autoregressive Distributed Lag (ARDL) bound testapproach and Granger causality test to uncover the relationship. The study found astable short-run and long-run relationships between agriculture and industrialsectors. Gross fixed capital formation and trade openness have significant short-runand long-run relationship with the growth of the industrial sector. While inflationaffect positively industrial growth in the short-run, its impact in the long-run isnegative. Moreover, there is a bi-directional causality between agriculture andindustrial sectors. Given the importance of agriculture to industrialisation andinclusive growth, the study recommends policies, strategies and further efforts toincrease agriculture productivity, output and income. The industrialization policy, asbroad as it may be, must build the nexus between the agriculture, manufacturing andother non-farm rural sectors. Equally important is the need to put in place a conduciveenvironment for promoting investment in both industry and agriculture sectors.JEL Classification: Q18; L16; I31.","PeriodicalId":91807,"journal":{"name":"Tanzanian economic review","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80117370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Determinants of Undernutrition in Under-five Children: Evidence from the 2015 Zimbabwe Demographic and Health Survey 5岁以下儿童营养不良的决定因素:来自2015年津巴布韦人口与健康调查的证据

Tanzanian economic review Pub Date : 2023-08-07 DOI: 10.56279/ter.v13i1.90

Eltone Mabodo

引用次数: 0

Determinants of Livelihood Diversification Amongst Rural Households in Tanzania 坦桑尼亚农村家庭生计多样化的决定因素

Tanzanian economic review Pub Date : 2023-08-07 DOI: 10.56279/ter.v13i1.77

Rugazia Nyombi, M. Chegere

{"title":"Determinants of Livelihood Diversification Amongst Rural Households in Tanzania","authors":"Rugazia Nyombi, M. Chegere","doi":"10.56279/ter.v13i1.77","DOIUrl":"https://doi.org/10.56279/ter.v13i1.77","url":null,"abstract":"The rural economic setup in developing countries is customarily dominated by primaryproduction activities, mostly in the agriculture sector. While rural areas have beenshown to experience high poverty rates, livelihood diversification is recommended as ameasure to help reduce poverty. This is can be done by bolstering household incomeportfolio through supplementing nonfarm income, than solely depending income fromagriculture activities. This paper observes determinants of rural livelihooddiversification using the extended panel data of the Tanzania National Panel Survey.Two measures represent livelihood diversity in the study: number of livelihood activitieshousehold engage in, and household share income spread. The Panel Poisson and Tobitmodels are used to estimate the determinants of livelihood diversity. General factorsinfluencing diversity include household wealth, experiences to shock (drought/floods,fall in prices of crops), and household demographic characters (number of working ageindividuals and age of household head). An analysis of the determinants by wealthstatus indicates less wealthy and wealthy households diversify the most with respect toassets they possess, while access to finances gives contrasting results depending onsources of finance. Policy implication relate to promoting policies that support sustainedasset accumulation, increasing access to rural financing, and establishing safety netprograms that minimize risks associated with shocks.","PeriodicalId":91807,"journal":{"name":"Tanzanian economic review","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85465714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Determinants of Household Education Expenditure in Uganda: Do the Poor Spend More on Education than the Rich? 乌干达家庭教育支出的决定因素:穷人比富人在教育上花费更多吗?

Tanzanian economic review Pub Date : 2023-08-07 DOI: 10.56279/ter.v13i1.104

W. Nabiddo, B. Yawe, F. Wasswa

引用次数: 0

The Impact of Board Characteristics on the Financial Performance of Savings and Credit Co-operative Societies in Arusha and Dar es Salaam, Tanzania 董事会特征对坦桑尼亚阿鲁沙和达累斯萨拉姆储蓄信贷合作社财务绩效的影响

Tanzanian economic review Pub Date : 2023-08-07 DOI: 10.56279/ter.v13i1.162

Lilian Mlay, S. Temu, L. Mataba

{"title":"The Impact of Board Characteristics on the Financial Performance of Savings and Credit Co-operative Societies in Arusha and Dar es Salaam, Tanzania","authors":"Lilian Mlay, S. Temu, L. Mataba","doi":"10.56279/ter.v13i1.162","DOIUrl":"https://doi.org/10.56279/ter.v13i1.162","url":null,"abstract":"This paper examines the impact of board characteristics—such as size, gender diversity, skills, and meeting frequency—on the financial performance of SACCOSs in Tanzania. The study focused on three financial performance indicators: net loan income, operating efficiency ratio, and deposit-to-asset ratio. Descriptive statistics and linear regression models were used to analyse panel data collected from financial reports of 198 SACCOSs for five years (2014–2018). The results show a positive and significant relationship between financially-skilled board member(s) and the depositto-asset ratio; conversely, they were negatively associated with the operating efficiency ratio. The results further show that board meetings are positively and significantly related to net loan income, whereas board size is positively associated with the operating efficiency ratio. Moreover, the paper found no evidence of a relationship between women’s board members and financial performance. Impliedly, having financially-skilled directors on a board and regular board meetings facilitated financial performance in a SACCOS. Thus, the paper calls for board members to have financial skills, and boards to conduct regular meetings for constructive advice and effective monitoring to boost financial performance. \u0000JEL Classification: G2, G20, G3, G30, G39, M49","PeriodicalId":91807,"journal":{"name":"Tanzanian economic review","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90970943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Empirical Investigation of the Effect of Manager’s Level of Education on Labour Productivity In the Manufacturing Sector in Uganda: 2006–2013 乌干达制造业管理者受教育程度对劳动生产率影响的实证研究:2006-2013

Tanzanian economic review Pub Date : 2023-08-07 DOI: 10.56279/ter.v13i1.91

Iremaut Osikei, Michael Ndanshau, Stephen Kirama

引用次数: 0

Decomposition of Total Factor Productivity Growth in Referral Hospitals in Kenya: 2012-2016 肯尼亚转诊医院全要素生产率增长分解:2012-2016

Tanzanian economic review Pub Date : 2023-01-27 DOI: 10.56279/ter.v12i2.124

Samuel O. Oyieke, I. Karamagi

引用次数: 1

Consumer Perceptions, Preferences and Awareness Towards Potential Geographical Indication of Products in Tanzania 坦桑尼亚消费者对产品潜在地理标志的感知、偏好和意识

Tanzanian economic review Pub Date : 2023-01-27 DOI: 10.56279/ter.v12i2.121

I. John

引用次数: 0

Factors Determining the Choice of Healthcare Providers in Uganda 决定乌干达医疗保健提供者选择的因素

Tanzanian economic review Pub Date : 2023-01-27 DOI: 10.56279/ter.v12i2.123

Medard Turyamureba, Bruno Yawe, John Oryema

{"title":"Factors Determining the Choice of Healthcare Providers in Uganda","authors":"Medard Turyamureba, Bruno Yawe, John Oryema","doi":"10.56279/ter.v12i2.123","DOIUrl":"https://doi.org/10.56279/ter.v12i2.123","url":null,"abstract":"Since early 1990s, the government of Uganda has implemented a number of reforms in the health sector, such as decentralization of health service delivery and removal of user fees in public health facilities aimed at achieving equitable access to quality healthcare. Despite these reforms, low levels of healthcare utilisation has remained a serious challenge in Uganda; and out-of-pocket health expenditure remains very high: at 41% of total health expenditure. This study seeks to examine factors that influence patients’ choice of healthcare providers in Uganda. A multinomial logistic model was estimated using data from the 2019/20 Uganda National Household Survey. The results showed that cost of healthcare, household welfare, level of education insurance, and region were significant in determining the choice of a healthcare provider. Duration of illness, distance to a health facility and type of illness were also significant determinants. The findings highlight the need for the government to introduce a national health insurance scheme to reduce out-of-pocket payments for healthcare, which will enable vulnerable individuals visit health facilities. It should also increase investments in the health sector by constructing and equipping more health facilities. JEL Classification: C25, I11, I12, I18","PeriodicalId":91807,"journal":{"name":"Tanzanian economic review","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135793260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Does Inequality in Landownership Contribute To Inequality in Education Attainment? Empirical Evidence From Kenya 土地所有权的不平等是否导致了教育程度的不平等?来自肯尼亚的经验证据

Tanzanian economic review Pub Date : 2023-01-27 DOI: 10.56279/ter.v12i2.119

J. Gathiaka

{"title":"Does Inequality in Landownership Contribute To Inequality in Education Attainment? Empirical Evidence From Kenya","authors":"J. Gathiaka","doi":"10.56279/ter.v12i2.119","DOIUrl":"https://doi.org/10.56279/ter.v12i2.119","url":null,"abstract":"An inverse relationship is found across countries between unequal landownership and education attainment. Since Kenya exhibits inequalities in landownership and education attainment across and within counties, households and gender, is there any relationship between the observed inequalities? Using data from the Kenya Integrated Household Budget Survey and the Kenya Population and Housing Census, the study applies fractional IV and IV-Two Stage Least Squares (2SLS) regression methods to examine whether the Gini of landownership influences the Gini of education attainment across counties, and the determinants of education attainment in Kenya. The evidence generated does not support the strong relationship between landownership inequality and inequality in education previously documented. Government financing of free education, coupled with bursaries, muffle the relationship. Inequality in education attainment across counties is likely due to county disparities in household size, income, urbanization rate, and participation in highlevel public employment. An increase in average per capita household expenditure, or urban population, also reduce the probability of inequality in primary as well as secondary education attainment in a county. Government financing of education and policies that promote urbanization, enhance quality of families, and increase highlevel participation in government reduce any effect that landownership inequality could have on education attainment. \u0000JEL Classification: I24; C21; C26; D13; Q15; R20.","PeriodicalId":91807,"journal":{"name":"Tanzanian economic review","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87858859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0