scholarly journals The Impact of Trade Liberalization on the Manufacturing Sector in Jordan

2017 ◽  
Vol 10 (1) ◽  
pp. 34 ◽  
Author(s):  
Mohammad Alawin ◽  
Bader Obeidat ◽  
Muawiya Attiyat ◽  
Buthaina Muhtaseb ◽  
Ghazi Al-Assaf ◽  
...  
Keyword(s):  
Structural Changes ◽  
Manufacturing Sector ◽  
Trade Openness ◽  
Monthly Period ◽  
The Government ◽  
Year 2000 ◽  
The Impact ◽  
Second Period ◽  
Cointegration Relationship

This study examines the impact of the degree of trade openness, real exchange rate (RER) and the level of imports on the production of the manufacturing sector in Jordan for the monthly period (1992-2012). This study applies the Chow test for structural changes. The results show that the year 2000, when Jordan officially joined the World Trade Organization (WTO), represents a year of structural change. Thus, the study has divided the full period into two sub-periods. In addition, the results of the study indicate the absence of a cointegration relationship over the period leading up to Jordan's accession to the WTO. The period that follows the trade openness has shown the presence of cointegration and long-term relationship among the variables. Specifically, for the second period, the study found that the degree of trade openness has a positive and a statistically significant effect on the manufacturing production. Therefore, the study recommends that the government continue to support the manufacturing sector and not to raise any input costs on it, especially given the relatively high cost of fuel and electricity. This should keep the competitiveness of this sector relatively high.

scholarly journals DAMPAK KETERBUKAAN PERDAGANGAN DAN KINERJA MANUFAKTUR DI INDONESIA

2018 ◽  
Vol 4 (2) ◽  
pp. 172-186
Author(s):  
Wahyu Dyah Novitasari ◽  
Sri Hartoyo ◽  
Lukytawati Anggraeni
Keyword(s):  
Manufacturing Sector ◽  
Trade Openness ◽  
Value Added ◽  
Added Value ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Negative Effect ◽  
Manufacturing Growth ◽  
The Impact

This study aims to analyze the impact of trade openness on the performance of manufacturing in Indonesia. In the study, performance and manufacturing growth indicated by the index of competitiveness and manufacturing added value. In aggregate, over the last few years, trade performance of Indonesia’s manufacturing sector has decreased due to the low index of competitiveness and comparative advantage. The empirical results using an Autoregressive Distributed Lag (ARDL) model with Error Correction Approach (ECM) shows that trade openness consistently negative effect on manufacturing value added, implicitly increase one percent change in trade openness would be deficit of changes in manufacturing value added of 4.26 billion rupiah, ceteris paribus. Furthermore, the amount of labor consistently positive effect on manufacturing value added, while fixed capital variable and value-added of previous lag (a year earlier) take effect by unstable in the long term as well as short then the crisis has also negatively affect the manufacturing value added.

scholarly journals INDUSTRIAL POLICY AND COMPETITIVENESS OF THE TUNISIAN MANUFACTURING SECTOR

2021 ◽  
Vol 53 (4) ◽  
pp. 67-75
Author(s):  
Nihel Frikha ◽  
◽  
Mohamed Ben Amar ◽  
Keyword(s):  
Industrial Policy ◽  
Manufacturing Sector ◽  
Tertiary Education ◽  
Policy Instruments ◽  
Public Authorities ◽  
The Public ◽  
Panel Model ◽  
The Impact ◽  
Cointegration Relationship

This paper aims to assess the impact of industrial policy instruments on international competitiveness and in particular on the competitiveness of the manufacturing sector in Tunisia. From a non-stationary panel model composed of 13 Tunisian manufacturing sectors during the period 1995-2016, we show the existence of a long-term cointegration relationship between manufacturing exports and its determinants. The results show that spending on research and development and tertiary education has a positive effect on exports. Hence, it is necessary for the public authorities to intervene within the framework of industrial policy to promote technological innovation and higher education.

scholarly journals DAMPAK KETERBUKAAN PERDAGANGAN DAN KINERJA MANUFAKTUR DI INDONESIA

2018 ◽  
Vol 4 (2) ◽  
pp. 172-186
Author(s):  
Wahyu Dyah Novitasari ◽  
Sri Hartoyo ◽  
Lukytawati Anggraeni
Keyword(s):  
Manufacturing Sector ◽  
Trade Openness ◽  
Value Added ◽  
Added Value ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Negative Effect ◽  
Manufacturing Growth ◽  
The Impact

This study aims to analyze the impact of trade openness on the performance of manufacturing in Indonesia. In the study, performance and manufacturing growth indicated by the index of competitiveness and manufacturing added value. In aggregate, over the last few years, trade performance of Indonesia’s manufacturing sector has decreased due to the low index of competitiveness and comparative advantage. The empirical results using an Autoregressive Distributed Lag (ARDL) model with Error Correction Approach (ECM) shows that trade openness consistently negative effect on manufacturing value added, implicitly increase one percent change in trade openness would be deficit of changes in manufacturing value added of 4.26 billion rupiah, ceteris paribus. Furthermore, the amount of labor consistently positive effect on manufacturing value added, while fixed capital variable and value-added of previous lag (a year earlier) take effect by unstable in the long term as well as short then the crisis has also negatively affect the manufacturing value added.

scholarly journals The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China

2021 ◽  
Vol 18 (2) ◽  
pp. 705
Author(s):  
Hongpeng Guo ◽  
Sidong Xie ◽  
Chulin Pan
Keyword(s):  
Carbon Emissions ◽  
Structural Changes ◽  
Multiple Linear Regression Model ◽  
Industry Structure ◽  
Estimation Methods ◽  
Low Carbon ◽  
Carbon Sinks ◽  
Resource Endowment ◽  
The Government ◽  
The Impact

This paper focuses on the impact of changes in planting industry structure on carbon emissions. Based on the statistical data of the planting industry in three provinces in Northeast China from 1999 to 2018, the study calculated the carbon emissions, carbon absorptions and net carbon sinks of the planting industry by using crop parameter estimation and carbon emissions inventory estimation methods. In addition, the multiple linear regression model and panel data model were used to analyze and test the carbon emissions and net carbon sinks of the planting industry. The results show that: (1). The increase of the planting area of rice, corn, and peanuts in the three northeastern provinces of China will promote carbon emissions, while the increase of the planting area of wheat, sorghum, soybeans, and vegetables will reduce carbon emissions; (2). Fertilizer application, technological progress, and planting structure factors have a significant positive effect on net carbon sinks, among which the changes in the planting industry structure have the greatest impact on net carbon sinks. Based on the comprehensive analysis, it is suggested that, under the guidance of the government, resource endowment and location advantages should be given full play to, and the internal planting structure of crops should be reasonably adjusted so as to promote the development of low-carbon agriculture and accelerate the development process of agricultural modernization.

THE IMPACT OF RESEARCH AND DEVELOPMENT INVESTMENT ON AGRICULTURAL SECTOR PERFOMANCE IN KENYA

2017 ◽  
Vol 2 (1) ◽  
pp. 34-57
Author(s):  
John Githii Kimani ◽  
Dr. George Ruigu Ruigu
Keyword(s):  
Research And Development ◽  
Agricultural Sector ◽  
Research Policy ◽  
Trade Openness ◽  
Policy And Practice ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Parsimonious Model ◽  
The Impact

Purpose: The purpose of the study was to assess the impact of research and development investment/expenditure on the agricultural sector performance in Kenya.Methodology: The study took the peoples impact assessment direction. The data for this study was collected from various government agencies such as KARI, ASTI, Kenya Agricultural Sector Data compendium website, FAOSTAT, World Bank among others. Co-integration and error correction modeling methods were used in analyzing the data for this study.Results: Co-integration results for both the parsimonious and non-parsimonious model indicated that that there is a long-run relationship among the variables in the agriculture performance in Kenya. Further, findings in this study indicated that the variables under study were insignificant determinants of the long run Total Factor Productivity of the agricultural sector.  Meanwhile, Trade openness was the only significant determinant of the short run agricultural Total Factor Productivity.Unique Contribution to Policy and Practice: This study recommends the institutionalization of policies aimed at ensuring interaction between the various stakeholders in the agricultural sectors. This interaction will ensure that resources are better allocated to reduce duplication of research and dissemination activities. In addition, greater collaboration among the stakeholders will promote and strengthen the connection between research, policy and the application of research findings. The study further advocates that the government should follow a trade liberazation oriented approach to the agricultural sector as opposed to a trade tightening approach.

scholarly journals HOW DID COVID-19 PANDEMIC AFFECT THE TOURISM INDEX IN BORSA ISTANBUL?

2021 ◽  
Author(s):  
Ercan Özen ◽  
Letife Özdemir
Keyword(s):  
Regression Model ◽  
Regression Method ◽  
Stock Index ◽  
Daily Data ◽  
Tourism Sector ◽  
The Impact ◽  
Bound Test ◽  
Cointegration Relationship ◽  
Ardl Bound Test

This study aims to investigate the impact of the Covid-19 pandemic on Turkey's tourism sector. In the study, for the period 12 March 2020 - 31 August 2020 the daily data of the BIST tourism stock index and Covid-19 case and death counts in Turkey were used. The cointegration relationship between the Covid-19 pandemic and the BIST tourism index was investigated with the ARDL bound test. In addition, the effect of the Covid-19 pandemic on the BIST tourism index was tested with the FMOLS regression method. As a result of the ARDL bound test, it was determined that there is a long-term cointegration relationship between the Covid-19 case and death numbers and the BIST tourism index. According to the FMOLS regression model results, it is seen that the deaths of Covid 19 significantly affect the tourism index. A 1% increase in the number of deaths causes the BIST tourism index to decrease by 0.08%. The coefficient of the number of Covid-19 cases is not significant, showing that the number of cases does not have a sufficient effect on the tourism index.

scholarly journals The Impact of Exchange Rate on Bangladesh’s Export: A Cointegration Approach

2020 ◽  
pp. 22-30
Author(s):  
Takrima Sayeda
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange Market ◽  
Export Performance ◽  
Long Run ◽  
Time Period ◽  
Floating Exchange Rate ◽  
Short Run ◽  
Year 2000 ◽  
The Impact

The purpose of the paper is to see if there is any relationship exist between free floating exchange rate and export performance of Bangladesh. It inspects the monthly data of exchange rate and export value for the time period between year 2000 and 2017. It utilized the Johansen [1] cointegration approach to identify the extent of long run and short run relationship between them. The study could not establish neither any long term trend nor any short term dynamics between the variables. Respective variables are significantly related to their own immediate past values. Distant past values do not have any implications. This study suggests that short run macroeconomic policy would be beneficial to influence the foreign exchange market and eventually the performance of export of Bangladesh.

scholarly journals KUALITAS PELAYANAN SEKOLAH TTERHADAP KEPUASAN MAHASISWA DAN PENCIPTAAN BRAND IMAGE

2018 ◽  
Author(s):  
Lusiah
Keyword(s):  
Higher Education ◽  
High School ◽  
Brand Image ◽  
Good Service ◽  
Good Image ◽  
New Students ◽  
The Government ◽  
The Impact

The development of higher education in Indonesia is increasingly evident. It is characterized by many private colleges are spread all over Indonesia. But in recent years the government did not give permission to those who want to establish a college. One reason is the government not only menginginkankan development in terms of quantity alone, but must be accompanied by good quality of any existing college.The number of colleges that exist today is already growing its own competition. The high level of competition among private universities is happening now requires every college has the right strategy to attract the interest of new students. Each college offers the advantages of each. However, not all universities have a particular brand image compared with other universities.One of the determining factors of brand image is the satisfaction of its customers. While satisfaction itself arises as a result of service perceived by the customer.College is not only required to provide a good quality education, but they also must be able to provide good service to students as well. Good service is expected to provide satisfaction for students. Of course in the long term, the impact of satisfaction that will form a good image for the college concerned anyway.STIE IBBI Medan is one of the private high school that has a good image in the city of Medan. However, STIE IBBI still have to further improve the quality of services provided to students. It is necessary to maintain the good image that has been owned STIE IBBI today.The plan of the research will be conducted in STIE IBBI Medan. The population is all students STIE IBBI. The long term goal of this research is to STIE IBBI to increase public confidence in higher education that will take in high school applying good quality excellent service. Expected from the results of this study, STIE IBBI can also implement appropriate marketing strategies to improve the quality of service to students. In addition, the results of this research can be a good reference for prospective new students who will pursue higher education in the STIE IBBI Medan.

scholarly journals VOCATIONAL TRAINING AND EDUCATION IN NORTH-EAST INDIA: ACCESS AND LABOUR MARKET OUTCOMES

2021 ◽  
Author(s):  
Anupam Sarkar
Keyword(s):  
Gender Gap ◽  
Manufacturing Sector ◽  
Labour Force ◽  
Labour Force Participation ◽  
Work Conditions ◽  
Vocational Education And Training ◽  
North East India ◽  
North East ◽  
The Government ◽  
The Impact

India’s north-east region, comprising of eight States is one of the less industrialised and economically backward areas of the country. Lack of skilled manpower has been identified as one of the major reasons for the underdevelopment of the manufacturing sector. Recently, the government of India has embarked on an ambitious target of improving the skill base of the country through expansion of the vocational education and training (VET) programmes. In this context, the paper examines the access to VET among the working-age population and the impact on employment and earnings using the Annual Report of the Periodic Labour Force Survey 2017-18. The paper argues that despite the recent initiatives on massive skilling of the country's youth a very little section of NE has accessed formal VET. Moreover, although it has some impact on raising labour force participation, there is no evidence that formal VET courses are effective enough to increase earnings, bridge the gender gap in wages, or the improving work conditions of the VET holders.

scholarly journals Agriculture Sector Credit and Output Relationship in Nepal

2020 ◽  
pp. 33-53
Author(s):  
Arjun Kumar Dahal ◽  
Khagendra Kumar Thapa
Keyword(s):  
Commercial Banks ◽  
Agricultural Sector ◽  
Least Squares Method ◽  
Manufacturing Sector ◽  
Agriculture Sector ◽  
Industrial Sectors ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
The Impact

Purpose: The purpose of this study is to find out the condition of priority of commercial banks to provide loans to the agricultural sector and to find the relationship and impact of agricultural loans to the agricultural GDP of Nepal. Objectives: This study aims to compare the condition of loan disbursements in agricultural and manufacturing sectors. It further aims to compare loan percent with growth and contribution to the GDP of the agricultural and industrial sectors and tries to show the impact of agricultural loans to the agricultural GDP of Nepal. Methods: It was based on a descriptive and analytical research design. Statistical tools standard deviation, correlation, regression, etc. are used and Excel, and EViews software are used for the statistical calculations. Statistical calculations and graphs are simultaneously used to show and compare the condition of variables. Results: Commercial banks give higher priority to the manufacturing sector for loans than the agricultural sector. The Johansen Co-integration test indicates no long-run relationship between loans of commercial banks and agricultural output in Nepal. However, the least-squares method, it indicates that a positive causal relationship between agricultural loans and agricultural growth. Implications: The loans of commercial banks directly stimulate the growth of agriculture but the amount of growth is less noticeable. Thus, it is concluded that the commercial bank's loan alone cannot affect and control the growth of the agricultural sector of the Nepalese economy therefore the government should increase its expenditure on the agricultural sector.

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