scholarly journals Trade Liberalization and Manufacturing Sector Performance in Nigeria

2021 ◽  
Vol 04 (05) ◽  
Author(s):  
ENIEKEZIMENE, Ariayefa Francis and QUESTION ◽  
Keyword(s):  
Trade Liberalization ◽  
Structural Adjustment ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Multiple Regression Model ◽  
Import Penetration ◽  
Long Run ◽  
Sector Performance ◽  
Manufacturing Productivity ◽  
The Impact

This study examined the impact of trade liberalization on manufacturing sector performance in Nigeria from 1970 to 2018. A multiple regression model was developed to achieve the study’s objectives with real manufacturing growth rate (RMGR) as proxy for manufacturing sector performance. Import penetration, export penetration, dummy variable for structural adjustment programme alongside other control variables were used. Using the Autoregressive Distributed Lag (ARDL) bound testing for cointegration approach, it was found that all the variables for the model had long run relationship. Furthermore, the ARDL results revealed a mixed impact of trade liberalization on the performance of the manufacturing sector. Specifically, while trade liberalization exerted insignificant positive impact on RMGR in the short run, the impact was positive and statistically significant in the long run. Consequently, the study recommended policies that would encourage the importation of capital goods to enhance manufacturing productivity in Nigeria.

scholarly journals A Diagnostic Test for the ‘Dutch Disease’ in the U.S.A using the ARDL Bounds Testing Technique

2019 ◽  
Vol 11 (1) ◽  
pp. 32 ◽  
Author(s):  
Kwame Asiam Addey
Keyword(s):  
Agricultural Sector ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Impulse Response Function ◽  
Dutch Disease ◽  
Bounds Testing ◽  
Negative Effects ◽  
Oil Boom ◽  
Long Run ◽  
The Impact

This study examines the impact of the most recent oil boom on North Dakota’s agricultural sector. I employ the autoregressive distributive lag (ARDL) model to examine short and long run relationships among four labor competing sectors. The model produces an optimal lag order of ARDL (6,6,6,5). Results reveal an 80% speed of adjustment coefficient. This implies that about 80% of any disequilibrium caused by a shock to the economy can be corrected within a quarter of a year. The oil sector has a negative and positive impact on the agricultural and construction sectors respectively but no significant impact on the manufacturing sector. The impulse response function (IRF) from an orthogonalized structural vector autoregression (SVAR) matrix system revealed no deviation from the boom period equilibrium agricultural GDP. Structural spending policies are recommended to curb the negative effects of another oil boom on labor competing sectors. The introduction of an agricultural wage transfer tax will also be helpful in the event of another oil boom.

scholarly journals Trade Liberalization and Employment Performance of Textile and Clothing Industry in Tanzania

2010 ◽  
Vol 3 (3) ◽  
pp. 47 ◽  
Author(s):  
Wumi K. Olayiwola ◽  
Johansein Ladislaus Rutaihwa
Keyword(s):  
Trade Liberalization ◽  
Textile Industry ◽  
Negative Impact ◽  
Positive Impact ◽  
Effective Rate ◽  
Import Penetration ◽  
African Countries ◽  
Export Intensity ◽  
Significant Negative Impact ◽  
The Impact

The objective of this study is to investigate the effect of trade liberalization on employment performance of textile industry in Tanzania. The basic issue of concern is that the implementation of trade liberalization has differential impact on employment and wage in many African countries. In addressing this issue as well as achieving the objective, econometric models of employment and wage are estimated using co-integration method of analysis.  The analysis shows that effective rate of protection and export intensity have an insignificant positive impact on demand for labour, but import penetration has a significant negative impact on employment. Also, only import penetration has a significant negative impact on wage. The impact of import penetration is larger than that of export orientation, as the increase in import competition leads to a decline in labour demand. These findings point to the fact that to make trade liberalization to be effectual in Tanzania, the process of trade reform needs to be gradual and also need to be strengthened with appropriate institutional support.

scholarly journals FOREIGN CAPITAL INFLOWS AND MANUFACTURING SECTOR GROWTH IN NIGERIA

2021 ◽  
Vol 25 ◽  
pp. 235-260
Author(s):  
Idris Ahmed Sani ◽  
Ajengbe Abidemi Samuel ◽  
Wada Emmanuel Ome
Keyword(s):  
Gross Domestic Product ◽  
Foreign Capital ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Capital Inflows ◽  
Domestic Product ◽  
Long Run ◽  
Foreign Capital Inflows ◽  
The Government ◽  
The Impact

The study examined the impact of foreign capital inflow on manufacturing sector growth in Nigeria using time series data from 1986 to 2019. The study specifically sought to examine the causal relationship between foreign capital inflows and the growth of the manufacturing sector in Nigeria in the long run The study employed the Autoregressive Distributed Lag (ARDL) estimation technique to account for the impact of foreign capital inflows on the manufacturing sector growth in Nigeria. The study utilized the Contribution of Manufacturing Sector to Gross Domestic Product (MGDP) as proxy for manufacturing sector growth. Manufacturing sector growth was the dependent variable while foreign direct investment (FDI), foreign portfolio investment (FPI) and foreign Aid (FOA) were the independent variables, and were regarded as proxies for foreign capital inflows. The study results revealed that foreign capital inflows through the FDI had a significant positive impact on contributions of the manufacturing sector to gross domestic product (GDP). The study also revealed that foreign capital inflows through the FPI had a significant positive impact on contributions of the manufacturing sector to the GDP. The study further revealed that foreign capital inflows through the FOA had a significant positive impact on contributions of the manufacturing sector to the GDP. Based on these findings, the study has recommended that the Nigerian government should promote foreign capital inflows through the FDI in order to achieve the desired level of manufacturing sector growth in the country’s economy in the long run. The government should also encourage foreign capital inflows through the FPI in order to attain the desired level of manufacturing sector growth in the Nigerian economy. Finally, the government should also support foreign capital inflows through the FOA in order to attain the desired level of manufacturing sector growth in the Nigerian economy in the long run.

scholarly journals Trade Liberalization and Manufacturing Growth in Malaysia A Cointegration Analysis

2006 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Karunagaran Madhavan ◽  
Deviga Vengedasalam ◽  
Veera Pandiyan Vengedasalam
Keyword(s):  
Error Correction ◽  
Trade Liberalization ◽  
Manufacturing Sector ◽  
Cointegration Analysis ◽  
Correction Model ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run ◽  
Manufacturing Growth ◽  
The Impact

This study examines the impact of trade liberalization in the manufacturing sector in Malaysia. The theoretical framework for this study employs the Lucas model of 'human capital model of endogenous model'. This study also uses the cointergration test and error correction techniques to measure the impact of trade liberalization on Malaysian manufacturing sector during the period 1963-2003. The empirical results of cointergration test suggest that there exists a long run relationship between manufacturing output and its determinants of trade liberalization, labour, capital and education level. This study uses error correction model (ECM) to determine the short-run dynamics around the equilibrium relationship and suggest that labour and trade liberalization have emerged as significant determinants for the  manufacturing output in Malaysia.

scholarly journals Real Exchange Rate and Manufacturing Performance in Nigeria

2021 ◽  
Vol 10 (2) ◽  
pp. 279
Author(s):  
Abiola John Asaleye ◽  
Rotdelmwa Filibus Maimako ◽  
Henry Inegbedion ◽  
Adedoyin Isola Lawal ◽  
Adeyemi A. Ogundipe
Keyword(s):  
Exchange Rate ◽  
Manufacturing Sector ◽  
Forecast Error ◽  
Impulse Response Function ◽  
Long Run ◽  
Manufacturing Performance ◽  
Short Run ◽  
Sector Performance ◽  
The Exchange Rate ◽  
The Impact

The efficacy of currency devaluation to improve output in Nigeria is under debate, and coupled with an unsatisfactory result in the behaviour of the manufacturing sector performance regenerated interest of this study to investigate the impact of exchange rate on output and employment in the sector. The work uses Structural Vector Autoregression, ECM and Canonical Co-integrating Regression to examine the shock effect, short and long-run elasticities of exchange rate on the manufacturing performance. While employment and output are used as a proxy for manufacturing sector performance. The findings show that changes in the exchange rate are fairly elastic with output and employment both in short and long-run. However, changes in the exchange rate are insignificant with employment in the short run. The variance decomposition form the SVAR shows that forecast error shock of the exchange rate is more prolong on employment than output. Consequently, the result of the estimation of the Impulse Response Function from the Monte Carlos shows that one standard deviation of the exchange shock adversely affect employment. The outcome of the result indicates that the Nigerian exchange rate has not improved output and employment in the manufacturing sector. Several factors may be accounted for this, although, it may be due to cost-push inflationary pressure and unfavourable competitiveness. The study suggests the need to encourage long-term supply-side policies among others to improve the situation.   Received: 7 June 2020 / Accepted: 9 January 2021 / Published: 5 March 2021

scholarly journals FOREIGN CAPITAL INFLOWS AND MANUFACTURING SECTOR GROWTH IN NIGERIA

2021 ◽  
Vol 25 ◽  
pp. 235-260
Author(s):  
Idris Ahmed Sani ◽  
Ajengbe Abidemi Samuel ◽  
Wada Emmanuel Ome
Keyword(s):  
Gross Domestic Product ◽  
Foreign Capital ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Capital Inflows ◽  
Domestic Product ◽  
Long Run ◽  
Foreign Capital Inflows ◽  
The Government ◽  
The Impact

The study examined the impact of foreign capital inflow on manufacturing sector growth in Nigeria using time series data from 1986 to 2019. The study specifically sought to examine the causal relationship between foreign capital inflows and the growth of the manufacturing sector in Nigeria in the long run The study employed the Autoregressive Distributed Lag (ARDL) estimation technique to account for the impact of foreign capital inflows on the manufacturing sector growth in Nigeria. The study utilized the Contribution of Manufacturing Sector to Gross Domestic Product (MGDP) as proxy for manufacturing sector growth. Manufacturing sector growth was the dependent variable while foreign direct investment (FDI), foreign portfolio investment (FPI) and foreign Aid (FOA) were the independent variables, and were regarded as proxies for foreign capital inflows. The study results revealed that foreign capital inflows through the FDI had a significant positive impact on contributions of the manufacturing sector to gross domestic product (GDP). The study also revealed that foreign capital inflows through the FPI had a significant positive impact on contributions of the manufacturing sector to the GDP. The study further revealed that foreign capital inflows through the FOA had a significant positive impact on contributions of the manufacturing sector to the GDP. Based on these findings, the study has recommended that the Nigerian government should promote foreign capital inflows through the FDI in order to achieve the desired level of manufacturing sector growth in the country’s economy in the long run. The government should also encourage foreign capital inflows through the FPI in order to attain the desired level of manufacturing sector growth in the Nigerian economy. Finally, the government should also support foreign capital inflows through the FOA in order to attain the desired level of manufacturing sector growth in the Nigerian economy in the long run.

Impact of Determinants of Industrial Development on Employment and Wages in Indian Manufacturing

2020 ◽  
pp. 18-30
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Technical Change ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Factor Productivity ◽  
Firm Level ◽  
Employment Level ◽  
The Impact ◽  
Level Performance

ABSTRACT The present study was undertaken to explore the evolution of the impact of firm-level performance on employment level and wages in the Indian organized manufacturing sector over the period 1989-90 to 2013-14. One of the major components of the economic reform package was the deregulation and de-licensing in the Indian organized manufacturing sector. The impact of firm-level performance on employment and wages were estimated for Indian organized manufacturing sector in major sub-sectors in India during the period from 1989-90 to 2013-14 of the various variables namely profitability ratio, total factor productivity change, technical change, technical efficiency, openness (export-import), investment intensity, raw material intensity and FECI in total factor productivity index, technical efficiency, and technical change. The study exhibited that all explanatory variables except profitability ratio and technical change cost had a positive impact on the employment level. Out of eight variables, four variables such as net of foreign equity capital, investment intensity, TFPCH, and technical efficiency change showed a positive impact on wages and salary ratio and rest of the four variables such as openness intensity, technology acquisition index, profitability ratio, and technical change had negative impact on wages and salary ratio. In this context, the profit ratio should be distributed as per the marginal rule of economics such as the marginal productivity of labour and capital.

scholarly journals The effects of environmental regulation and technological innovation on green growth: A theoretical analysis

2018 ◽  
Vol 53 ◽  
pp. 04054
Author(s):  
Xuefei Xu ◽  
Lili Wang ◽  
Shang Chen
Keyword(s):  
Environmental Regulation ◽  
Technological Innovation ◽  
Positive Impact ◽  
Causal Chain ◽  
Mediation Model ◽  
Green Growth ◽  
Positive Role ◽  
Long Run ◽  
The Impact ◽  
Causality Chain

As green growth has attracted a great deal of attention due to the growing concern about the degradation of natural resources and environmental pollution in China, the questions of how to achieve it and which factors drive green growth have become hot topics. Environmental regulation and technological innovation are two main fulcrums in the realization of green growth. However, there is lacking a deeper understanding of the impact of environmental regulation and technological innovation on green growth in a methodological framework. Accordingly, this paper attempts to analyze how these factors affect the implementation of green growth in a model. The findings reveal that (1) in the short term, environmental regulation has inhibited green growth, but has a positive impact on green growth in the long run, (2) technological innovation plays a positive role in green growth improvement, and (3) the causality chain among regulation, technological innovation, and green growth is a typical mediation model. Technological innovation plays an important mediation role in the causal chain. This study not only enriches and deepens theories on green growth, but also successfully implements green growth practices and improve their performance.

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