scholarly journals Investigating the Nexus between Productivity and Export Performance of Pakistan

2018 ◽  
Vol III (II) ◽  
pp. 94-104
Author(s):  
Asma Saeed ◽  
Zahoor Ul Haq ◽  
Javed Iqbal
Keyword(s):  
Positive Impact ◽  
Export Performance ◽  
Secondary Data ◽  
Production Costs ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Manufacturing Sectors ◽  
Bound Test ◽  
Ardl Bound Test

An increase in productivity has been associated with better export performance by increasing the efficiency of the factors of production. Further, productivity leads to a reduction in production costs and an increase in comparative advantage in the international market. In this study, the Autoregressive distributed lag (ARDL) bound test is used to investigate the nexus between productivity and export performance of agricultural and manufacturing sectors of Pakistan. The study uses secondary data from 1990 to 2016 to estimate the total factor productivity (TFP) and then uses it as a proxy of productivity. Our results show that TFP and gross domestic product (GDP) have a significant and positive impact on the export performance of Pakistan. Foreign direct investment (FDI), real exchange rate and cost to export are found to be negatively related to Pakistans export performance. In the long run, both the sectors (agricultural and manufacturing) need improvement in productivity in order to be competitive in intentional markets.

scholarly journals Microfinance Institutions and Financial Sector Growth in Nigeria (1992-2018)

2021 ◽  
Author(s):  
Emmanuel Abiodun Ayodeji ◽  
Adebayo Tunbosun Ogundipe
Keyword(s):  
Secondary Data ◽  
Financial Sector ◽  
Variable Coefficients ◽  
Model Specification ◽  
Microfinance Institutions ◽  
Negative Effects ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run ◽  
Bound Test

Abstract The extent to which microfinance bank institutions have contributed to the financial sector growth has not been well unraveled in the extant literature in Nigeria, hence, this study examined the effects of microfinance banks on financial sector growth in Nigeria. It further investigated the dynamic form of relationship between microfinance banks and financial sector growth in Nigeria covering a temporal scope 1992 to 2018. The model specification was formulated using financial sector GDP as the proxy for dependent variable, microfinance credit, deposits, assets and investment were used as proxies for microfinance banks institutions. Secondary data were sourced from CBN statistical Bulletin and analyzed using auto regressive distributed lag bound test and its corresponding short and long run coefficients. Finding revealed an inconclusive long run relationship between microfinance bank institutions and financial sector growth. Checking the individual variable coefficients in the short run, microfinance credit has significant positive effect while microfinance assets has insignificant effects on financial sector growth. In the long run, it was revealed that microfinance bank deposits and assets exert insignificant positive effects while microfinance credits have insignificant effect and investments have significant negative effects on financial sector growth. The study concluded that, in the long run, microfinance bank institutions exert positive and insignificant effects on financial sector growth in Nigeria. It was therefore recommended that, for microfinance bank institutions to impact significantly on financial sector growth in Nigeria, its credit should be increased and be more directed to the target individuals and the level of their investments should be geared up so as to engender growth of the financial sector in Nigeria. Furthermore, microfinance bank institutions should maintain its status quo on deposits and assets, however, improvement on them should be encouraged so as to enhance the growth of the financial sector in Nigeria

On productivity differential of export composition: evidence from India

2014 ◽  
Vol 7 (1) ◽  
pp. 38-50
Author(s):  
Avijit Debnath ◽  
Niranjan Roy ◽  
Priyanka Dasgupta ◽  
Nazira Mazumder
Keyword(s):  
Positive Impact ◽  
Secondary Data ◽  
Spillover Effects ◽  
Aggregate Level ◽  
Content Type ◽  
Export Sector ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Export Composition

Purpose – This paper aims to analyse the relationship between exports and non-export gross domestic product (GDP) in the context of Indian economy during 1988-2012. It considers export both at aggregate and disaggregated levels to examine whether export-led growth (ELG) hypothesis is sensitive to types of goods India exports. Design/methodology/approach – The OLS-based autoregressive distributed lag (ARDL) model has been employed to analyse the potential long-run equilibrium relationship. Further, the error correction model within the ARDL framework is applied to examine the short-run and long-run causal relationship between non-export GDP, export and other variables. The study is based on secondary data. Findings – The study indicates that at aggregate level, exports do not have any significant impact on output of non-export sector, and therefore, it is maintained that ELG hypothesis is not valid at aggregate level in India; when the authors disaggregate exports into merchandise and services exports, the latter has been found to have positive spillover effects on non-export sector of the economy. However, the association between merchandise export and non-export GDP is found to be statistically insignificant. When the authors further disaggregated merchandise exports, the authors observed that primary-product export has a negative association with non-export GDP, but export of manufacturing products found to have a significant positive impact on non-export GDP. Finally, export of petroleum product shows a negative long-run association with non-export GDP, but the association is statistically insignificant. Originality/value – It is not the case that India can simply increase its exports per se and be sure of witnessing economic growth, but instead it is the composition and the concentration of these exports that matters.

scholarly journals Violent Crime and Unemployment in Nigeria: An ARDL Bound Test Cointegration.

2019 ◽  
Vol 6 (4) ◽  
pp. 21-24
Author(s):  
Garba Mohammed Guza ◽  
Ahmed Balarabe Musa ◽  
Sunday Elijah
Keyword(s):  
Violent Crime ◽  
Unemployment Rate ◽  
Crime Rates ◽  
Bounds Testing ◽  
Armed Robbery ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Unemployment And Crime ◽  
Bound Test

This study attempts to examine whether there is a long-run relationship existing between crime rates and unemployment in Nigeria for the period 2004 to 2016. The autoregressive distributed lag (ARDL) bounds testing approach was used to determine the cointegration between unemployment and crime rates. The results show that unemployment and crime (murder, armed robbery, robbery, assaults, sexual offense, and cultism) are cointegrated. The empirical findings show that the unemployment rate and violent crime, such as; armed robbery, robbery-murder, assaults, sex violence, and cultism are all cointegrated. The long-run coefficients results indicated that the unemployment rate has a positive and significant effect on murder, sex violence, assaults, and cultism

scholarly journals ANALISIS DETERMINANT PROFITABILITAS PADA INDUSTRI PERBANKAN SYARIAH PERIODE 2011-2018 PENDEKATAN AUTO REGRESIVE DISTRIBUTED LAG (ARDL)

2020 ◽  
Vol 7 (6) ◽  
pp. 1102
Author(s):  
Gita Martha Permatasari ◽  
Dian Filianti
Keyword(s):  
Sampling Method ◽  
Banking Industry ◽  
Secondary Data ◽  
Short Term ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Analysis Technique ◽  
Lag Model

This study aims to determine the influence of the Macro Economy, namely GDP and Inflation and Bank Characteristics, namely CAR, FDR, NPF, BOPO and Size on the Profitability of the Sharia Banking Industry in Indonesia in the 2011 - 2018 Period. The data used are secondary data, namely quarterly data obtained from the official website of Bank Indonesia (www.bi.go.id), Badan Pusat Statistik (www.bps.go.id), and Statistik Perbankan Syariah reports published by OJK (www.ojk.go.id). The sampling method used was purposive sampling method. The analysis technique uses the ARDL (Autoregressive Distributed Lag) model with statistical tools EViews 9. The results of the study show that in the short term of the GDP, Inflation, BOPO, Size variables, they have a significant effect on the profitability of the Sharia Banking Industry and the CAR, FDR, NPF variables have no significant effect on profitability of Islamic Banking Industry. Meanwhile in the long run of the GDP, BOPO, Size variables, they have a significant effect on the profitability of the Sharia Banking Industry and the Inflation, CAR, FDR, NPF variable does not significantly influence the profitability of the Sharia Banking Industry.Keywords: Profitability, Sharia Bank, ARDL

scholarly journals Analisis Hubungan Ekspor, Pembayaran Hutang Luar Negeri Dan Nilai Tukar Terhadap Cadangan Devisa Indonesia

2021 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Fakhrurrazi Fakhrurrazi ◽  
Hijri Juliansyah
Keyword(s):  
Exchange Rates ◽  
Foreign Exchange ◽  
Foreign Debt ◽  
Secondary Data ◽  
Foreign Exchange Reserves ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
The Relationship ◽  
Debt Payment

This study aims to determine the relationship between exports, foreign debt payments, and the exchange rates on the foreign exchange reserves of Indonesia in 1988-2019. This study uses secondary data for 31 years and uses the Autoregressive Distributed Lag (ARDL) analysis method to analyze the data. The results of this study indicate that all variables have no relationship between variables, only on the foreign exchange reserves to exports. In short-term testing, the export does not have a significant effect on foreign exchange reserves, and the foreign debt payment and the exchange rate have a significant effect on foreign exchange reserves. However, in the long run, all variables do not have a significant effect on foreign exchange reserves.Keywords:Exports, Foreign Debt Payment, Exchange Rates, Foreign Exchange                    Reserves, ARDL

scholarly journals Effects of Agricultural, Manufacturing, and Mineral Exports on Angola’s Economic Growth

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1494 ◽  
Author(s):  
Titus Isaiah Zayone ◽  
Shida Rastegari Henneberry ◽  
Riza Radmehr
Keyword(s):  
Economic Growth ◽  
Positive Impact ◽  
Dutch Disease ◽  
Ardl Model ◽  
Agricultural Exports ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Using Data

This study investigates the effects of Angola’s agricultural, manufacturing, and mineral exports on the country’s economic growth using data from 1980 to 2017. An Autoregressive Distributed Lag (ARDL) model is employed to estimate the effect of sectoral exports on economic growth. The estimation results show that while exports from all three sectors (manufacturing, mineral, and non-mineral) have driven Angola’s economic growth in the long-run; only non-manufacturing (agricultural and mineral) exports have led its growth in the short-run. Moreover, growth in non-export GDP was driven by mineral exports in the long-run and agricultural exports in the short-run. Considering the statistically significant and positive impact of mineral exports on the Angolan GDP as well as on its non-export GDP, this study points to a lack of evidence supporting the Dutch disease phenomenon in Angola.

scholarly journals Effects of COVID-19 on Indian Energy Consumption

2020 ◽  
Vol 12 (14) ◽  
pp. 5616 ◽  
Author(s):  
Kentaka Aruga ◽  
Md. Monirul Islam ◽  
Arifa Jannat
Keyword(s):  
Energy Consumption ◽  
Positive Impact ◽  
Indian Government ◽  
Ardl Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
North Eastern ◽  
Relaxed Energy ◽  
Positive Effect

Just after the Indian government issued the first lockdown rule to cope with the increasing number of COVID-19 cases in March 2020, the energy consumption in India plummeted dramatically. However, as the lockdown relaxed, energy consumption started to recover. In this study, we investigated how COVID-19 cases affected Indian energy consumption during the COVID-19 crisis by testing if the lockdown release had a positive impact on energy consumption and if richer regions were quicker to recover their energy consumption to the level before the lockdown. Using the autoregressive distributed lag (ARDL) model, the study reveals that a long-run relationship holds between the COVID-19 cases and energy consumption and that the COVID-19 cases have a positive effect on Indian energy consumption. This result indicates that as lockdown relaxed, energy consumption started to recover. However, such a positive impact was not apparent in the Eastern and North-Eastern regions, which are the poorest regions among the five regions investigated in the study. This implies that poorer regions need special aid and policy to recover their economy from the damage suffered from the COVID-19 crisis.

FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI IMPOR KEDELAI INDONESIA

2014 ◽  
Vol 8 (1) ◽  
pp. 117-138 ◽  
Author(s):  
Aziz Muslim
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Soybean Oil ◽  
Secondary Data ◽  
Cointegration Analysis ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Government Role ◽  
Short Run

Kajian ini bertujuan untuk menentukan faktor-faktor yang mempengaruhi impor kedelai Indonesia. Data yang digunakan adalah data sekunder berbentuk time series, diolah dan dianalisis dengan metode estimasi dan kointegrasi Autoregressive Distributed Lag (ARDL). Hasil penelitian menunjukkan bahwa faktor-faktor yang mempengaruhi impor kedelai Indonesia dalam jangka pendek adalah impor kedelai sebelumnya, harga kedelai USA, harga minyak kedelai Argentina, dan nilai tukar Rupiah. Dalam jangka panjang faktor yang berpengaruh adalah harga minyak kedelai Argentina, PDB Indonesia, dan nilai tukar Rupiah. Kajian ini merekomendasikan bahwa mekanisme pengamanan stok kedelai maupun minyak kedelai bermanfaat untuk menjaga ketersediaan pangan dalam negeri. Peran aktif pemerintah dalam mengamankan stok kedelai nasional serta pengumpulan data-data tentang impor kedelai merupakan tuntutan yang mendesak. Untuk menjaga kestabilan harga dan pasokan kedelai dalam negeri perlu ada upaya untuk mendiversifikasi negara asal impor. The aim of this study is to determine the factors that affect Indonesia’s imports of soybean. The study utilized time series secondary data and Autoregressive Distributed Lag (ARDL) cointegration analysis. The results reveal that in the short run Indonesia’s import of soybean are influenced by Indonesia's soybean imports in the previous year, price of USA’s soybean, Argentina’s soybean oil price, and the Rupiah exchange rate. In the long run Indonesia’s imports of soybean are influenced by Argentina’s soybean oil, Indonesia GDP, and the Rupiah exchange rate. This study recommends that mechanism to maintain soybean stocks demanded is useful for food security.Therefore Government role is important in providing the accurate data on soybean stock, and diversification of the country of origin is crucial to maintain price stability and supply continuity in the country

Asymmetric Effect of Fiscal Deficit on Current Account Deficit: Evidence from India

2021 ◽  
pp. 097226292110572
Author(s):  
Vishal Sharma ◽  
Masudul Hasan Adil ◽  
Sana Fatima ◽  
Ashok Mittal
Keyword(s):  
Current Account ◽  
Positive Impact ◽  
Current Account Deficit ◽  
Fiscal Deficit ◽  
Asymmetric Effect ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Asymmetric Impact ◽  
The Impact

This study has attempted to re-investigate the impact of fiscal deficit (FD) on current account deficit (CAD) (also known as twin deficit hypothesis) in India from 1970–1971 to 2018–2019 in the presence of private saving–investment gap (SI) and exchange rate (EXR). For the empirical investigation, the study has employed the nonlinear autoregressive distributed lag (NARDL) approach to cointegration. The NARDL results found the evidence of an asymmetric effect of FD, SI and EXR on CAD in the long run only. The obtained results support the traditional views of the Keynesian approach that FD has a positive impact on CAD, validates the existence of the ‘Twin Deficit Hypothesis’ in India. Further, results also depict that SI has a positive effect on CAD, whereas EXR has an adverse impact on CAD. From a policy standpoint, the asymmetric impact of FD on CAD provides strong reasons for conceiving policies that are adaptable to changing dynamics in internal as well as external sectors.

DO OIL PRICE FLUCTUATIONS AFFECT THE INFLATION RATE IN INDONESIA ASYMMETRICALLY?

2020 ◽  
pp. 1-21
Author(s):  
LIM THYE GOH ◽  
SIONG HOOK LAW ◽  
IRWAN TRINUGROHO
Keyword(s):  
Inflation Targeting ◽  
Inflation Rate ◽  
Oil Price ◽  
Production Costs ◽  
Price Reduction ◽  
Producer Price ◽  
Price Fluctuations ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

Changes in the oil price directly affect production costs, and subsequently, the general price level of products. With Indonesia observing an inflation targeting policy, this study applies the nonlinear autoregressive distributed lag (NARDL) technique to investigate the effect of oil price fluctuations in Indonesia. The relationship is important for the central bank to gauge the effectiveness of the inflation targeting policy in immunizing the country from oil price fluctuations. Our findings have revealed that there was an asymmetric behavior between oil price and the inflation rate (producer price index), thus questioning the effectiveness of the inflation targeting policy. More specifically, in the long run, an increase in the oil price will tend to lead to an increase in the rate of inflation with a greater deviation, while an oil price reduction will lead to a decrease in the inflation rate with a lower deviation. This suggests that the benefits of an oil price reduction are not passed down to the consumer.

Sign in / Sign up

Export Citation Format

Share Document