Determinants of productivity and output in Tanzania

experiments with CES production functions by George Gheverghese Joseph

Publisher: Economic Research Bureau, University of Dar es Salaam in [Dar es Salaam]

Written in English
Published: Pages: 27 Downloads: 709
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  • Tanzania


  • Industries -- Tanzania -- Econometric models.,
  • Industrial productivity -- Tanzania -- Econometric models.,
  • Production functions (Economic theory)

Edition Notes

Statementby G. Joseph and F. Nsengiyumva.
SeriesOccasional paper / Economic Research Bureau, University of Dar es Salaam ;, 79.1, Occasional paper (Chuo Kikuu cha Dar es Salaam. Economic Research Bureau) ;, 79.1.
ContributionsNsengiyumva, F.
LC ClassificationsHC885 .J67 1980
The Physical Object
Pagination27 p. ;
Number of Pages27
ID Numbers
Open LibraryOL3157640M
LC Control Number82980113

Abstract. Using a stochastic frontier production model proposed by Battese and Coelli (), the paper estimates the levels of technical efficiency of smallholder maize farmers in Tanzania and provides an empirical analysis of the determinants of inefficiency with the aim of finding way to increase smallholders’ maize production and productivity. its production levels and the determinants of its productivity. A number of specific issues are explored including the importance of factors such as farm size, education, and access to key inputs such as seeds, fertilizers and agricultural extension services. The study on which the article is based uses data collected from three districts of Rukwa. ). The Panzar-Rosse model measures to what extent input and output prices move in step (as they would under perfect competition) or out of step (indicating monopoly or a perfect cartel).7 Other models in the literature (e.g. Bresnahan, Iwata) require data sets that for most countries are simply lacking, while. lower to higher productivity sectors across Asia—mainly into manufacturing—nearly doubled the economy-wide rate of growth of output per worker (de Vries et al. ). Industry has played a much smaller role in Tanzania’s structural transformation.

  Productivity is a ratio that describes the output divided by the input. The gross domestic product (GDP) is the total output of a country and can be used to calculate its productivity in a few different ways. A positive result from these formulas is a gain in productivity, while a negative one reflects a decrease in productivity. Adding value. National output, income and expenditure, are generated when there is an exchange involving a monetary transaction. However, for an individual economic transaction to be included in aggregate national income it must involve the purchase of newly produced goods or services. In other words, it must create a genuine addition to the ‘value’ of the scarce resources. Using a sample of 20 emerging countries from to , we study the determinants and output effects of sudden stops in capital inflows during an era of intensified globalization. We find that higher levels of original sin (hard currency debt to total debt) and large current account deficits. We found that Capital and materials input factors of production contributed statistically significantly to the output of the firms under the study. In the same way, firm age, location, ownership type, age and education of the owner were found significant determinants of technical efficiency in sunflower oil processing firms in Tanzania.

The evaluation of total agricultural productivity was performed by using efficiency scores determined with the Data Envelopment Analysis method. The results highlight the determinants of productivity variations in dynamic and territory. Key words: agricultural performance, regions, productivity, Data Envelopment Analysis JEL codes: O11, D24, Q unemployment in Tanzania may be mainly caused by education system, lack of skills in business training, inadequate credit facilities, emphasis on formal sector alone, non-attractive agricultural sectors, gender imbalance and inadequate information were the key determinants of .   Determinants of research productivity among academics in Kenya Toutkoushian's () model that links RP to a variety of economic variables is used. Stratified sampling was used ensuring incorporation of the academics heterogeneity factors such as gender, rank, type of university (private or public) and academic qualification. Productivity is the relationship between the quantity of output (goods and services produced) and the quantity of input (i.e., re-sources such as labor, materials, machinery, and energy) that are used in production. Productivity = Output/Input Productivity is .

Determinants of productivity and output in Tanzania by George Gheverghese Joseph Download PDF EPUB FB2

Abstract and Figures Tanzania has been experiencing a persistent balance of trade deficit since the s. This paper examines factors affecting export performance in Tanzania during the Author: Manamba Epaphra.

The mineral exports account for more than 40 percent of Tanzania total exports. It is the fastest growing sector. Mining sector accounted for percent of GDP in Tanzania Development Vision projects the sector to contribute more than 10% of GDP.

However, the statistics show that although Tanzania economy has improved, over. productivity. Over the periodcereal productivity in Tanzania had been declining at a rate of % per annum (see Table ). However, over time Tanzania’s cereal productivity has been gradually increasing from t/ha in the period to a high of.

As agriculture accounts for a large share of employment, export earnings and even GDP in Tanzania, the sector is seen as a main vehicle in any national economic strategy to combat poverty and enhanced agricultural productivity is crucial to realize this objective. This paper examines determinants of commercial banks profitability in Tanzania with a particular focus on the internal and external factors.

The study employs a set of panel secondary data from a sample of eighteen (18) commercial banks for the period () and uses CAMEL model to investigate the financial performance. The paper classifies productivity determinants into four types, namely ‘economic factors,’ ‘institutions,’ ‘social base,’ and ‘physical base.’ The empirical productivity model presented in this paper includes productivity determinants of all these different types.

technology and modern production activities in manufacturing sector assume a significant role has remained a defining characteristic of economic growth and development (Naude & Szirmai,). Determinants of Productivity Determinants of Productivity - The Wealth of Nations by Adam Smith Possible only if demand is there to support growth in output.

Veedorn - Labour Productivity related relation Given by Prof Paul Mali in the year in the book, Improving Total Productivity, John Wiley & Sons, New York. improve their productivity.

Various literature pertain to the study of multiple offices and office buildings indicated that the factors such as dissatisfaction, cluttered workplaces and the physical environment are playing a major role in the loss of employees’ productivity (Carnevale ,Clements- Croome ).

4 Determinants of Productivity. physical capital-the stock of equipment and structures that are used to produce goods and services.

human capital the knowledge and skills that workers acquire through education, training, and experience 3.

natural resources- the inputs into the production of goods and services that are provided by nature, such as land, rivers, and mineral deposits.

Based on an extensive literature review, we identify the five main determinants of economic productivity as innovation, education, market efficiency, physical infrastructure, and institutional infrastructure (institutions).

Agricultural Productivity in Africa: Trends, Patterns, and Determinants presents updated and new analyses of land, labor, and total productivity trends in African agriculture.

It brings together analyses of a unique mix of data sources and evaluations of public policies and development projects to recommend ways to increase agricultural productivity in Africa.

business sector structure and productivity. Previous studies have identified a few determinants of profitability and this literature review will highlight the theoretical and empirical bases of this claim. Theoretical Framework The Dynamic Theory of Profit Prof. J.B. Clark propounded the dynamic theory of profit in the year To him profit.

et al (), Tanzania may itself suffer a decline in production. Addressing the reasons why production in Tanzania has not grown is crucial to create a production environment within which productivity can increase, and maize is a crop worthy of specific attention.

Cotton, Tanzania's second largest crop after coffee, was introduced at the turn of the century by German settlers as a plantation crop but later efforts focused on smallholder production. Output rose considerably with the releases of new varieties, along with better organization of the sector following establishment of the Tanganyika Lint and.

Policy and Regional Growth / Determinants of Productivity Growth Executive Summary BAK Basel Economics 1 Determinants of Productivity Growth – Executive Summary Executive Summary This study measures the influence of a set of regional location factors (or attractiveness factors) on the long term economic development of a region.

Abstract This paper identifies the factors that affect the location of firms in Tanzania. Using a binomialeconometric strategy to address data gaps in firm location at the ward level, the paper groups factors into firm characteristics, market features, and two types of agglomeration economies that capture economies of scale external to the firm.

Study about factors that affecting performance of SME in Tanzania. This book is the fourth volume of the World Bank Productivity Project, which seeks to bring frontier thinking on the measurement and determinants of productivity to global policy makers.

High-Growth Firms: Facts, Fiction, and Policy Options for Emerging Economies. A few that based their studies on determinants of industrial output growth like Ogun () and Dauda () focused only on the manufacturing sector which is a sub-sector under the industrial sector.i.e other sub-sectors such as transport, mining, building and construction etc.

were not. La bour productivity Introduction Labour productivity is an important economic indica tor that is closely linked to economic growth, competitiveness, and living standards withi n an economy.

Labour productivity represents the total volume of output (measured in terms of Gross Domestic Product, GDP). Productivity measures are subdivided into partial or total measures.

Partial measures are the amount of output per unit of a particular input. Commonly used partial measures are yield (output per unit of land), labour productivity (output per economically active person (EAP) or per agricultural person-hour).

Agricultural productivity in Africa: Trends, patterns, and determinants: Synopsis. Raising agricultural productivity and accelerating agricultural growth are commonly promoted as core development strategies throughout Africa, since the majority of the continent’s poor and malnourished population depends largely on farming.

Tanzania and provides an empirical analysis of the determinants of inefficiency with the aim of finding way to increase smallholders’ maize production and productivity.

Results shows that smallholder productivity is very low and highly variable, ranging form t/ha to t/ha, averaging t/ha.

Technical efficiencies of smallholder maize. ability to rapidly develop new products or quickly change production-output rates. A good production manager will interface with other functions in order to exploit the competencies of the organization. We can analyze the interface requirements from another angle also – from the point of view of Production Management's processes.

Determinants of technical efficiency in smallholder food crop farming: Application of stochastic frontier production function IA Ajibefun, GE Battese, AG Daramola Quarterly Journal of International Agriculture 41 (3),41 percent, respectively.

Parameter for Determinants of Image Quality in Digital Mammography [1]). Productivity A country’s production (GDP) will equal its number of workers times the output per worker (productivity). One can increase one’s productivity either by working harder or by working smarter.

Productivity is driven by how cost-effectively one can produce, so, relative productivity—i.e., competitiveness—will have a big effect on. Growth determinants 3 Criteria of an emerging economy 5 Outline of the study 7 The structure of production and trade III Introduction 57 III The structure of production 57 III The export sector 59 This study aims to answer these questions for the case of Tanzania.

The other countries selected are Côte d. 6 DETERMINANTS OF PRODUCTIVITY Irrespective of whether the past growth is driven by numbers or productivity, the latter is crucial to sustain output growth in the long run. Productivity is mainly defined by the genetic constitution of the animal.

The extent to. total factor productivity (TFP) between an industry’s 90th and 10th percentile plants is This corresponds to a TFP ratio of e = To emphasize just what this number implies, it says that the plant at the 90th percentile of the productivity distribu-tion makes almost twice as much output with the same measured inputs as the.

Developing Country Studies ISSN X (Paper) ISSN (Online) Vol.4, No.1, Determinants of Tanzanian agricultural export: A case of cotton lint.agricultural output, about 95% was covered by smallholder agriculture sub-sector. However, a number of factors limit smallholder farmers from participating in export potential cash crops.

The main objective of this paper is to identify household specific factors determining sesame production .This paper studies the main determinants of total factor productivity (TFP) growth using principal component analysis and a dynamic panel data model and, through a case study, explores key areas where accelerated reforms in the Maghreb countries would boost TFP gains.