scholarly journals Sectoral Analysis of Employment Intensity of Growth in Nigeria

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Rasaki Dauda ◽  
Omowumi Ajeigbe

This study assessed employment intensity of growth (EIG) in the agriculture, industry and service sectors in Nigeria from 1991 to 2019 within the context of Okun’s theory/law. Data from the 2020 World Development Indicators were employed for analysis, using elasticity procedure after decomposing the scope into different periods and regimes. The findings showed negative EIG in the agriculture and industrial sectors while the service sector returned positive EIG. Therefore, government should invest significantly in the service sector while the agricultural sector should be mechanized to boost output and supply of raw materials to industries to enhance employment generation.

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Manoj Kumar Sinha

Since 1991, India has cautiously and slowly opened almost all the sectors, except a few related to strategic importance, for foreign investors. Degree of openness of various industrial sectors for FDI has been increased to the extent of 100 percent by consistently liberalizing industrial policies of the sectors. The purpose of the paper is to study pattern and trends of sectoral distribution of FDI within the background of the first generation reforms and liberalized industrial policies during 1991-2001. The paper has used series of the dynamics and stylistic indices and statistical tools such as three level indices, index of rank dominance, and correlation matrices for explaining the pattern of FDI distribution across sectors during 1991-2001. The results show that electrical, transportation, chemical, telecommunication, and service sectors are most dominating sectors and represent almost 75 percent of total FDI received during 1991-2001. Index of rank dominance indicates distribution of FDI across the sectors is top heavy.


2006 ◽  
Vol 45 (4II) ◽  
pp. 797-817
Author(s):  
Toseef Azid ◽  
Naeem Khaliq ◽  
Muhammad Jamil

Development of overall economy of any country largely depends upon the characteristics of different prominent sectors such as agriculture, industry, services, etc. Sharp structural change in prominent sectors are experienced by the Pakistan’s economy during the last four decades, in which industrial and service sector have exhibited an extra ordinary rate of growth, while the agricultural sector did not shown that rate of growth which was experienced during the time of green revolution. Due to these structural changes in the prominent sectors volatility of growth rate has been experienced by the economy. To the extent that most of the recent volatility in growth rate of GDP can be attributed to the increasing share of the some volatility of the some prominent sectors, the analysis of their volatility can be useful in providing some enlightenment on the factors behind this phenomenon and its implications for the formulation of the policy in the future.


Author(s):  
Made Dewi Ayu Untari

The purposes of this study are to obtain emperical evidence about the influence of followers investor’s behaviour to the stock volatility and analyze the difference offollowers investor’s betweenindustry sectors producing raw materials,manufacture industry and service industry in the Indonesia Stock Exchange (BEI), during the market crash happened in Indonesia. The population number are 507 companies, while the total sample of 247 companies. Sampling technique used purposive sampling. The analysis technique used was a cross-sectional absolute Deviation (CSADand test One Way ANOVA with Post Hoc Test and Least Significant Difference (LSD. Data shows that the behavior of follower investors has positive effect on the volatility of the current stock market crash occurs. Meanwhile, there was no difference in behavior between the follower investor industrial sectors producing raw materials, the manufacturing sector and the service sector when  the market crash.


2019 ◽  
Author(s):  
Richardson Edeme ◽  
Janefrancis Idenyi

Data from 15 ECOWAS countries from 2000-2017 were generated from World Development Indicators and Africa Infrastructure Development Index. Variables of concern are agricultural output, agricultural sector employment, access to electricity, transport, ICT, agricultural land, economic growth and FDI.


2021 ◽  
Vol 12 ◽  
Author(s):  
Ning Ma ◽  
Victor Jing Li ◽  
Tsun Se Cheong ◽  
Delin Zhuang

The aim of this study is to examine the evolution of inequality by focusing on the impacts of the economic structure. The technique of decomposition by income sources is employed to evaluate the contribution of the three major sectors, namely the agricultural, industrial, and service sectors to overall inequality. The data cover almost all the countries in the world from 2001 to 2017 for a total of 18 years. There are four stages of analysis in this study. The first stage of study is to provide an overall view of the evolutionary trend of global inequality, the second stage focuses on the North-South divide, the third stage determines the impacts of income groups, and the fourth stage investigates the impacts for each region. There are several salient findings: First, global inequality had declined in the study period. Second, the service sector is identified as the largest contributor to global inequality, followed by the industrial sector, while the contribution of the agricultural sector is negligible. For the North-South divide, disparity in the service sector was more marked in the North than in the South. The industrial sector played a major role in the South and contributed more than 40% to overall inequality. For the comparison amongst the income groups, our findings show that the higher the income, the higher the percentage contribution of the service sector (except for the low-income group). Finally, for the comparison across regions, although the contribution of the agricultural sector in most regions are below 1.5%; however, the contribution of the agricultural sector in both Sub-Saharan Africa and South Asia is more than 8%. It implies that a lot of people in these regions still rely on the agricultural sector for a living, and the development in the industrial and service sectors in these two regions lagged behind those of the other regions. Our analysis show that the evolution pattern is very different for each region, therefore, it is necessary to take the effects of income and geographical location into consideration in formulating development policies.


2018 ◽  
Vol 11 (1) ◽  
pp. 39-54
Author(s):  
Olatunji A. Shobande

Abstract This paper examines to what extent export concentration can be tailored towards promoting economic growth in Nigeria. A deeper understanding of the interrelationship among various sectorial units, as well as the investment channel that better stimulates the economy is the thrust of this paper. As a consequence, the study wants to answer to the question whether it “is there any linkage between export concentration, and various sectorial output share (agricultural, manufacturing, and service sector) on growth performance?”. The methodology we made use of is a Vector Autoregressive (VAR) model for the various sectoral analysis of export concentration in Nigeria. The estimated results show that export concentration has an important role to play in driving economic growth and that this role emanates from the Agricultural and manufacturing sectoral channels. These channels account for about 93 percent and over 3 percent respectively of the total variation of export concentration contribution to economic growth. The result also indicates that one standard deviation shock to export concentration results in a peak on agricultural sector quarterly after shock. As a result, the study recommends that government ought to make available incentive to the agricultural sector to further enhance the contribution of the sector to the economic growth in the Nigeria economy.


2019 ◽  
Vol 4 (2) ◽  
pp. 45-55
Author(s):  
Nosakhare Liberty Arodoye ◽  
John Norense Izevbigie

The study investigates sectoral composition and tax revenue performance in ECOWAS countries. Specifically, the study examines taxable capacity, tax efforts and tax structure of thirteen Economic Community of West African States (ECOWAS) countries taking into account three major sectors comprising agriculture, service and industrial sectors for the period 2000 to 2015. This is meant to bridge the gap in the extant literature which mainly focused on tax revenue to gross domestic product without taking into account taxable capacity and tax efforts with respect to specific sectors of the economy. The study employed stochastic frontier, forecast error variance decomposition, vector autoregression and the generalized methods of moment accordingly in the empirical analysis. The result from the analysis shows that the hypothesis of a low taxable capacity and tax efforts in the agricultural, industrial and service sectors in ECOWAS countries should be rejected. Specifically, the result revealed that though the three sectors are yet to be maximally exploited, the taxable capacity of ECOWAS countries is reasonably high. Also, the service and industrial sectors express more favourable responses to the tax revenue performance compared to the agricultural sector. It was recommended among others that on the average the governments of ECOWAS countries should formalize and strengthens tax revenue collections in the agricultural, service and industrial sectors.


Media Trend ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 275-282
Author(s):  
Abdul Khafidzin ◽  
Nurul Istifadah

Sectoral economic growth affects the level of poverty in the area. High economic growth does not merely reduce poverty. Equitable distribution of income is also a matter that needs to be considered in line with increased economic growth. High economic growth is the process of accumulation of sectoral economic growth that has undergone a structural shift in its journey. Changes in economic structure are marked by a decrease in the contribution of the agricultural sector and an increase in the contribution of the industrial sector, both in gross domestic product (GDP) and in employment. Economic growth needs to be directed towards economic sectors that are effective in reducing poverty and creating equitable distribution of income. The purpose of this study is to answer the question of how the influence of sectoral economic growth on poverty in East Java. For this purpose the panel data regression model is used. The selection of variables is based on research objectives. Agriculture sector GRDP (VP), industrial sector GRDP (VI) and service sector GRDP (VJ) represent sectoral economic growth. The results of the test show an increase in the contribution of the industrial sector effectively reduces poverty. In other words, between the agriculture, industry and services sectors, only the industrial sector has positive and significant parameters for poverty in East Java.


2020 ◽  
pp. 097265272092354
Author(s):  
Zhi Dong ◽  
Tien Foo Sing

There are limitations in the understandings of investors’ overreaction to the volatility in less transparent industrial sectors. Investors investing in a less transparent sector are likely to over-interpret available market information. This article compares investors’ reaction to market shocks across different industrial sectors, through analyzing the information content in implied volatility using financial derivatives of individual companies in Singapore. Investors in the less transparent property and financial service sector are found to overreact on market shocks, further destabilizing the market. The findings imply that regulatory measures that increase the level of transparency could aid the stabilization of markets. JEL Classification: G13, G14, G18


2018 ◽  
Vol 11 (1) ◽  
pp. 37 ◽  
Author(s):  
John Bosco Nnyanzi ◽  
Bruno L. Yawe ◽  
John Ddumba-Ssentamu

The main aim of the paper was to investigate the role of entrepreneurship on economic performance but with focus on sector-wide growth in 12 selected African countries during the period 2006-2016. Overall, the results suggest that while the quantitative impact of entrepreneurship on economic growth is positively significant, there is a differential effect on the sectors. The service sector in particular is associated positively with entrepreneurship whereas there is no evidence in the data that the growth in the manufacturing and agriculture sectors is influenced by entrepreneurship activities. A further analysis that includes interactions in the model supports the conditionality hypothesis that globalization as well as the quality of institutions and financial development matter in the entrepreneurship-growth nexus. In addition, while internet access and government consumption appear beneficial for the manufacturing and service sectors, the role of personal remittances is observed important for the agriculture sector contribution to GDP whereas trade in services matters for each sector but most significantly in the latter sector. In light of the findings policy recommendations are suggested.


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