DAMPAK KETERBUKAAN PERDAGANGAN DAN KINERJA MANUFAKTUR DI INDONESIA

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.

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DAMPAK PEMBANGUNAN EKONOMI, PENGELUARAN RUMAH TANGGA, DAN KETERBUKAAN PERDAGANGAN TERHADAP KONSUMSI ENERGI FINAL DI INDONESIA

Jurnal Ecoment Global ◽

10.35908/jeg.v4i2.751 ◽

2019 ◽

Vol 4 (2) ◽

pp. 1

Author(s):

Bambang Priyo Cahyono ◽

Yusro Hakimah

Keyword(s):

Energy Consumption ◽

Trade Openness ◽

Value Added ◽

Short Term ◽

Final Consumption ◽

Final Energy ◽

Distributed Lag ◽

Autoregressive Distributed Lag ◽

Final Energy Consumption

This study investigates the impact of economic growth on three main development sectors, household final consumption expenditure, and trade openness towards the growth of final energy consumption in Indonesia using annual data for the period 1972-2016. We applied autoregressive distributed lag (ARDL) procedures which consist of stationarity test, cointegration test, as well as estimation the short-term and long-term relationships. The cointegration test revealed existence cointegration<br />relationship among the variables in the model. In the short-term and long-term model, our results indicated that the growth of value-added in agriculture sector and industry sector, household final consumption expenditures, and trade openness in the short-term and long-term have a significant effect toward final energy consumption in Indonesia, while the growth of value-added in the service sector only given a short-term effect toward final energy consumption in Indonesia. Based on these<br />results, it can be concluded that sustainable economic development in Indonesia needs to be accompanied by the development of new and renewable energy in order to fulfil domestic energy supply which is predicted to continue to increase rapidly in the future.<br />Keyword : final energi consumption, economic development, household final consumption expenditure, trade openness, autoregressive distributed lag modeling<br />JEL Classification : D1, E21, F14, O13, Q43.

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Agricultural Productions and Its Implications on Economic Growth in Ivory Coast: The Use of the Econometric Approach

Applied Economics and Finance ◽

10.11114/aef.v7i4.4913 ◽

2020 ◽

Vol 7 (4) ◽

pp. 126

Author(s):

Kouakou Kouakou Paul-Alfred

Keyword(s):

Economic Growth ◽

Crop Production ◽

Agricultural Sector ◽

Value Added ◽

Distributed Lag ◽

Autoregressive Distributed Lag ◽

Negative Effect ◽

Food Crop Production ◽

Econometric Approach

The objective of this article is to assess the effect of the agricultural sector on the economic growth in Ivory Coast.The data used are those of the World Bank and cover the period from 1985 to 2015. The analysis of the data required the use of the AutoRegressive Distributed Lag (ARDL). It emerges from this study that there is a positive and significant relationship between manufacturing agriculture and economic growth in the short and long term. On the other hand, the food-crop production has a negative effect on GDP, even if it is significant. The variable of interest such as agricultural investment has a positive and significant effect on economic development, while cash crop production have a positive but not significant effect on long-term economic growth. Therefore, in view of these results, the State must promote the processing of agricultural products in order to create more value added.

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An Application for the Impact of the Agricultural Labor Force and Employment Structure on the Economic Growth in Turkey

Journal of Economics and Business ◽

10.31014/aior.1992.04.02.363 ◽

2021 ◽

Vol 4 (2) ◽

Author(s):

Işıl Tellalbaşı Mengüç ◽

Keyword(s):

Economic Growth ◽

Value Added ◽

Added Value ◽

Agricultural Labor ◽

Country Report ◽

Agricultural Employment ◽

Negative Effect ◽

The Impact ◽

The Relationship ◽

Effect On Growth

In this research, agricultural employment and labor structure in Turkey between the years 1991-2019 aimed to investigate the impact on economic growth. In this framework, the relationship between agricultural employment (TI), agricultural male employment (TEI) and agricultural value added (TKD) and growth was analyzed using the World Bank Country Report. According to the results obtained in the study, the relationship of all three parameters with GDP is statistically highly significant (p <0.05). However, when the analysis is repeated as year-controlled, the effect of agricultural added value on GDP becomes statistically insignificant (p> 0.05). The regression analysis results showed that only the TI variable, that is, the agricultural employment variable, had a significant effect on growth (p <0.05). Apart from this, there is no statistically significant effect of male employment and agricultural value added parameters on growth in agriculture (p> 0.05). Increased employment in agricultural production in Turkey, has a negative effect on growth. It can be stated that the main reasons for this are that there are not enough agricultural innovations, modernization and technological developments.

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An Application for the Impact of the Agricultural Labor Force and Employment Structure on the Economic Growth in Turkey

10.31219/osf.io/jsmdb ◽

2021 ◽

Author(s):

Işıl Tellalbaşı Mengüç

Keyword(s):

Economic Growth ◽

Value Added ◽

Added Value ◽

Agricultural Labor ◽

Country Report ◽

Agricultural Employment ◽

Negative Effect ◽

The Impact ◽

The Relationship ◽

Effect On Growth

In this research, agricultural employment and labor structure in Turkey between the years 1991-2019 aimed to investigate the impact on economic growth. In this framework, the relationship between agricultural employment (TI), agricultural male employment (TEI) and agricultural value added (TKD) and growth was analyzed using the World Bank Country Report. According to the results obtained in the study, the relationship of all three parameters with GDP is statistically highly significant (p <0.05). However, when the analysis is repeated as year-controlled, the effect of agricultural added value on GDP becomes statistically insignificant (p> 0.05). The regression analysis results showed that only the TI variable, that is, the agricultural employment variable, had a significant effect on growth (p <0.05). Apart from this, there is no statistically significant effect of male employment and agricultural value added parameters on growth in agriculture (p> 0.05). Increased employment in agricultural production in Turkey, has a negative effect on growth. It can be stated that the main reasons for this are that there are not enough agricultural innovations, modernization and technological developments.

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Modelling labour demand in Poland

Wiadomości Statystyczne. The Polish Statistician ◽

10.5604/01.3001.0014.5011 ◽

2020 ◽

Vol 65 (11) ◽

pp. 7-23

Author(s):

Kamila Radlińska ◽

Krzysztof Jaros ◽

Agnieszka Jakubowska ◽

Anna Rosa

Keyword(s):

Value Added ◽

Labour Demand ◽

Explanatory Variables ◽

Distributed Lag ◽

Distributed Lag Model ◽

Autoregressive Distributed Lag ◽

Gross Value Added ◽

Lag Model ◽

Production Approach

The aim of the paper is to construct a long-term model of labour demand in Poland, in which the explanatory variables are the average gross salary and gross value added. Additionally, the authors attempt to detect labour hoarding. The study adopted the production approach, which used autoregressive distributed lag model with an ARDL-ECM error correction mechanism. The model parametres were estimated on the basis of quarterly data on the average number of persons employed, the average monthly gross salary and gross value added, all of which related to the period from the first quarter of 2002 to the fourth quarter of 2018. The data used in the study came from Statistics Poland publications. The proposed approach estimated the actual demand for labour. In the analysed period, a long-term relationship between the average employment, the average monthly gross salary and gross value added was observed. Employment was decreasing as the average salary was growing, and its increase was connected with the production growth. Moreover, short-term deviations of the value of the actual employment from the value of employment estimated by the model were observed on the labour market, which indicates labour hoarding could have been taking place. However, due to an insufficient number of observations, the occurrence of this phenomenon could not be fully confirmed.

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The impact of FDI on Nigeria’s export performance: a sectoral analysis

Journal of Economic Studies ◽

10.1108/jes-11-2017-0317 ◽

2018 ◽

Vol 45 (5) ◽

pp. 1088-1103 ◽

Cited By ~ 3

Author(s):

Obiora G. Okechukwu ◽

Glauco De Vita ◽

Yun Luo

Keyword(s):

Service Sector ◽

Manufacturing Sector ◽

Export Performance ◽

Content Type ◽

Distributed Lag ◽

Autoregressive Distributed Lag ◽

Long Run ◽

Oil Exports ◽

The Impact ◽

Sectoral Fdi

Purpose The purpose of this paper is to examine the foreign direct investment (FDI)–exports relationship in Nigeria using disaggregated FDI and export data. Design/methodology/approach This paper applies the autoregressive distributed lag cointegration approach in examining the long-run relationship between FDI and exports. Findings The results suggest that aggregate FDI has a positive and statistically significant long-run impact on total exports. Once exports are disaggregated into oil and non-oil exports, the positive, cointegrating relationship holds only for oil exports. When disaggregated by sector, primary sector and manufacturing sector FDI have a positive and significant long-run relationship with both total exports and oil exports but service sector FDI does not appear to have any significant influence on Nigerian exports. Originality/value This is the first paper that employs both sectoral FDI and disaggregated export data to examine the FDI–exports nexus in Nigeria.

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Pengaruh penanaman modal dalam negeri (PMDN), penanaman modal asing (PMA), ekspor dan impor terhadap pertumbuhan ekonomi Provinsi Jambi

Jurnal Paradigma Ekonomika ◽

10.22437/paradigma.v15i2.10328 ◽

2020 ◽

Vol 15 (2) ◽

pp. 267-276

Author(s):

Dian Setia Ningsih ◽

Haryadi Haryadi ◽

Siti Hodijah

Keyword(s):

Economic Growth ◽

Analysis Model ◽

Economic Activities ◽

Distributed Lag ◽

Autoregressive Distributed Lag ◽

Poverty And Inequality ◽

Negative Effect ◽

The Government ◽

Positive Effect

This study aims to analyze the development of PMDN, PMA, Exports, Imports, and Economic Growth in Jambi province and to analyze the influence of PMDN, PMA, Exports, and Imports on economic growth in Jambi province. The analysis model used is the Autoregressive Distributed Lag (ARDL). The results showed that in the short term PMDN had a significant negative effect on economic growth. PMA has a positive and significant effect on economic growth. Exports have a significant positive effect on economic growth. In the long term, PMDN has a positive and significant effect on economic growth. PMA has a negative and significant effect on economic growth. The export variable has a positive and significant effect on economic growth. And imports have a positive but insignificant effect on economic growth. It is hoped that economic growth will continue to increase from year to year, so the government must play an important role in increasing economic activities that have existing potentials so that the people's income is high which also reduces poverty and inequality that occurs.

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The impact of financial policy on economic growth in Jordan (2000-2017)

Ekonomski pregled ◽

10.32910/ep.71.2.1 ◽

2020 ◽

Vol 71 (2) ◽

pp. 97-108

Author(s):

Nawaf Alghusin ◽

Ayman Abdalmajeed Alsmadi ◽

Esraa Alkhatib ◽

Atala Mohammad Alqtish

Keyword(s):

Economic Growth ◽

Financial Policy ◽

Distributed Lag ◽

Autoregressive Distributed Lag ◽

Ardl Approach ◽

Domestic Credit ◽

Long Time ◽

Taxation System ◽

The Impact

The aim of this paper is to examine the impact of financial policy on rate of economic growth in Jordan for the period of (2000-2017) taking into the considerations the fluctuations of taxation system. Autoregressive Distributed Lag (ARDL) approach has been utilized in order to analyze the long term relationship between study variable which are; money supply (M2), domestic credit provided by banks (DCBS) and real Gross Domestic Product GDP. The results shows that, money (M2) and domestic credit provided by banks (DCBS) can effects on GDP in Jordan for the study period. The taxation system in Jordan has been fluctuated many times during 2017 and 2018, which made the data partly not available. This led the researchers to spend long time to find an accurate data in order to finalize this study. This study will add good practical evidence on the impact of changing the taxation system positively or negatively on the economic growth.

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The impact of Covid-19 on the port environment: The case of Tanger Med container port, Morocco

E3S Web of Conferences ◽

10.1051/e3sconf/202123400025 ◽

2021 ◽

Vol 234 ◽

pp. 00025

Author(s):

Hajar Abous ◽

Mhamed Hamiche ◽

Mohamed El Merouani

Keyword(s):

Global Supply Chains ◽

Container Port ◽

Distributed Lag ◽

Autoregressive Distributed Lag ◽

Production And Consumption ◽

The World ◽

Huge Impact ◽

Short And Long Term ◽

The Impact

The appearance of the COVID-19 virus has a huge impact on the economy, where many factories and logistics flows are affected. With global supply chains severely disrupted, production and consumption centers around the world are beginning to be affected by the situation. our study tried to measure the impact of this pandemic on the containers transport in Morocco, our work targeted the Tanger Med port due to its geographic position as the most important link between Africa and Europe, Autoregressive Distributed Lag (ARDL) cointegration technique was applied, this model integrates the term of lag and difference in the modeling of linear series. To verify the existence of long-term relationships, F-bond test was applied. The model was estimated on short and long term. the results were significant and has shown that the activity within Tanger Med port, experienced a shock during the pandemic period.

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