scholarly journals Pricing of Agricultural Capital Input in Pakistan: An Analysis of Bound Testing Approach

2017 ◽  
Vol 3 (2) ◽  
pp. 101-110
Author(s):  
Hina Ali ◽  
Hira Tahir
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Capital Input ◽  
Distributed Lag ◽  
Integration Approach ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Testing Approach ◽  
Econometric Technique

Purpose: This study aims to raise the trouble of adjustment the price of capital input in Pakistan. The data that is take to estimate the analysis is time series which span over from 1974 to 2014. Yield, gross domestic product, exchange rate, land, price of capital, agriculture employment, agriculture imports and exports are variables that use in this study. Econometric technique of auto-regressive distributed lag (ardl) to co-integration approach are applied apply to estimate the long run and short run relationship among variables. Conclusion of this study shows that yield and price of capital are negative and insignificant both in short and long run.

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

scholarly journals Effects of Exchange Rate Volatility On Non-Traditional Exports In Ghana

2017 ◽  
Vol 7 (2017) ◽  
pp. 80-103
Author(s):  
Camara Kwasi Obeng
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Real Effective Exchange Rate ◽  
Distributed Lag ◽  
Long Run ◽  
Effective Exchange ◽  
Short Run ◽  
Auto Regressive ◽  
The Government ◽  
Effective Exchange Rate

The government of Ghana has implemented a number of policies to strengthen the production and export of non-traditional products as a way of diversifying exports in Ghana with very little success. Foremost among these policies is the liberalization of exchange rate. Meanwhile, the exchange rate has been very volatile. The study, therefore, examines the effects of exchange rate volatility on non-traditional exports in Ghana.This study employed Auto-regressive Distributed Lag (ARDL) co-integration estimation technique for the investigation. The results indicate that exchange rate volatility negatively impacts Ghana’s non-traditional exports. Also, the effect is greater in the long- run than it is in the short-run. Other results also show that world income, growth rate of the economy and Treasury bill rate promote non-traditional exports, but real effective exchange rate does not. The value of the paper lies in the discussion of the short-run and long-run effects of exchange rate volatility on non-traditional exports in the Ghanaian context.

scholarly journals Mobile Money Use: The Impact of Macroeconomic Policy and Regulation

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
Lorna Katusiime
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Financial Innovation ◽  
Macroeconomic Policy ◽  
Mobile Money ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examines the effects of macroeconomic policy and regulatory environment on mobile money usage. Specifically, we develop an autoregressive distributed lag model to investigate the effect of key macroeconomic variables and mobile money tax on mobile money usage in Uganda. Using monthly data spanning the period March 2009 to September 2020, we find that in the short run, mobile money usage is positively affected by inflation while financial innovation, exchange rate, interest rates and mobile money tax negatively affect mobile money usage in Uganda. In the long run, mobile money usage is positively affected by economic activity, inflation and the COVID-19 pandemic crisis while mobile money customer balances, interest rate, exchange rate, financial innovation and mobile money tax negatively affect mobile money usage.

scholarly journals Determinants of Insurance Penetration in West African Countries: A Panel Auto Regressive Distributed Lag Approach

2021 ◽  
Vol 14 (8) ◽  
pp. 350
Author(s):  
Odunayo Olarewaju ◽  
Thabiso Msomi
Keyword(s):  
Banking Sector ◽  
West African ◽  
Education Sector ◽  
African Countries ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Insurance Penetration ◽  
The Government

This study analyses the long- and short-term dynamics of the determinants of insurance penetration for the period 1999Q1 to 2019Q4 in 15 West African countries. The panel auto regressive distributed lag model was used on the quarterly data gathered. A cointegrating and short-run momentous connection was discovered between insurance penetration along with the independent variables, which were education, productivity, dependency, inflation and income. The error correction term’s significance and negative sign demonstrate that all variables are heading towards long-run equilibrium at a moderate speed of 56.4%. This further affirms that education, productivity, dependency, inflation and income determine insurance penetration in West Africa in the long run. In addition, the short-run causality revealed that all the pairs of regressors could jointly cause insurance penetration. The findings of this study recommend that the economy-wide policies by the government and the regulators of insurance markets in these economies should be informed by these significant factors. The restructuring of the education sector to ensure finance-related modules cut across every faculty in the higher education sector is also recommended. Furthermore, Bancassurance is also recommended to boost the easy penetration of the insurance sector using the relationship with the banking sector as a pathway.

scholarly journals Effects of Exchange Rate and Inflation Rate on Stock Market Returns Volatility in India.

2020 ◽  
Author(s):  
Nenavath Sre ◽  
Suresh Naik
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Error Correction ◽  
Inflation Rate ◽  
Market Returns ◽  
Stock Market Returns ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Abstract The paper investigates the effect of exchange and inflation rate on stock market returns in India. The study uses monthly, quarterly and annual inflation and exchange rate data obtained from the RBI and market returns computed from the Indian share market index from January, 2000 to June, 2020.The paper uses the autoregressive distributed lag (ARDL) co-integration technique and the error correction parametization of the ARDL model for investigating the effect on Indian Stock markets. The GARCH and its corresponding Error Correction Model (ECM) were used to explore the long- and short-run relationship between the India Stock market returns, inflation, and exchange rate. The paper shows that there exists a long term relationship but there is no short-run relationship between Indian market returns and inflation. But, there is periodicity of inflation monthly considerable long run and short-run relationship between them existed. The outcome also illustrates a significant short-run relationship between NSE market returns and exchange rate. The variables were tested for short run and it was significantly shown the positive effects on the stock market returns and making it a desirable attribute of which investors can take advantage of. This is due to the establishment of long-run effect of inflation and exchange rate on stock market returns.

scholarly journals Empirical Evidence on Korea’s Import Demand Behavior Revisited

2015 ◽  
Vol 7 (2) ◽  
pp. 11 ◽  
Author(s):  
Jungho Baek
Keyword(s):  
Empirical Evidence ◽  
Import Demand ◽  
The Other ◽  
Distributed Lag ◽  
Other Hand ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Econometric Technique

<p>This paper attempts to re-examine Korea’s import demand behavior with an enhanced<br />econometric technique and an up-to-date dataset. To achieve the goal, an autogressive<br />distributed lag (ARDL) approach is adopted. Our results show the existence of the long-run<br />relationship between Korea’s imports and its major determinants such as income and price. It<br />is also found that income plays an important role in influencing Korea’s imports in both the<br />short- and long-run. On the other hand, price is found to have a significant impact on Korea’s<br />imports only in the short-run.</p>

scholarly journals Impact of Trade Openness on Industrialization in Nigeria

2020 ◽  
Vol 8 (1) ◽  
pp. 15-22
Author(s):  
Adebayo Mohammed Ojuolape ◽  
Deborah Boluwatife Adeniyi
Keyword(s):  
Exchange Rate ◽  
Trade Openness ◽  
The State ◽  
Cointegration Test ◽  
Industrial Competitiveness ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
Analytical Result

The state of Nigeria as regards the effect of trade openness on industrialization is a major concern. This research helps to evaluate this effect. The variables show a long-run relationship, using Bound Cointegration test. The final analytical result was gotten using ARDL (Auto-Regressive Distributed Lag) Co-integration and Long-run form. The results show that trade openness is not significant, and it is negatively related to industrialization. The implication of this is that it hinders industrialization in Nigeria. This is due to excess importation and infrastructure deficit, alongside other factors. The study recommended that existing policies should not be waved aside; there should be engagement in international industrial competitiveness, and stabilization of exchange rate.

scholarly journals Examining the impact of Exports and Exchange rate on Economic Growth of Turkey

2020 ◽  
Author(s):  
Iftikhar Muhammad ◽  
Malik Shahzad Shabbir
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Granger Causality ◽  
Direct Investment ◽  
Economic Policies ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact

Abstract Purpose This study intends to analyze the long-run and short-run relationships along with the identification of causal links between exports, economic growth, and exchange rate in Turkey. Data/Design: This study uses auto-regressive distributed lags (ARDL) and Granger causality over time series monthly data from the year 2010–2018. The results indicate that exports are significantly positively related to economic growth while the exchange rate is found to be negatively related to economic growth. Findings: Moreover, findings from the test of Granger causality indicate that a unidirectional causal association is found from exports to foreign direct investment and economic growth and from economic growth to foreign direct investment. The Granger causality results indicate that an increase in exports accelerates the economic growth of Turkey and a change in growth rate and exchange rate leads to a change in foreign direct investment. Originality of work: The overall findings suggest that exports should be promoted along with the liberal-investment economic policies to boost the overall economic growth in Turkey.

scholarly journals Effects of Remittances on Financial Development: A Time Series Analysis for Pakistan

2019 ◽  
Vol IV (IV) ◽  
pp. 381-387
Author(s):  
Muhammad Awais ◽  
Nazima Ellahi ◽  
Ahmed Sher
Keyword(s):  
Financial Sector ◽  
Data Set ◽  
External Finance ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Annual Frequency ◽  
Econometric Methodology ◽  
Migrant Remittances

International migrant remittances are possibly the largest source of external finance in developing countries and this inflow have has considerable importance in the development of the financial sector. The present study aimed to analyze the link between workers remittances and development of the financial sector in the context of Pakistan. To carry out this empirical analysis, the study utilized a data set of annual frequency ranging from 1980 to 2015 (post-liberalization period). The econometric methodology of Auto-Regressive Distributed Lag (ARDL) has been used to get the short-run and long-run elasticities of the model. Overall findings suggested that there is a strong positive link between the inflow of remittances and the development of the financial sector in the context of Pakistan.

scholarly journals Determinants of Agricultural Productivity: Empirical Evidence from Pakistan’s Economy

2016 ◽  
Vol I (I) ◽  
pp. 1-12
Author(s):  
Mehmood Kakar ◽  
Adiqa Kiani ◽  
Asia Baig
Keyword(s):  
Correction Term ◽  
Agricultural Productivity ◽  
Agriculture Sector ◽  
Distributed Lag ◽  
Productivity Convergence ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Total Productivity ◽  
Positive Effect

This article examines the determinants of the total productivity of the agriculture sector which enhances the total agricultural productivity in Pakistan and analyzes the relations among variables used for the analysis from 1990 - 2017. The application of the auto regressive distributed lag technique ARDL was used to approximate various determinants. The area under cultivation, fertilizer consumption, agriculture credit, and rainfall show a positive effect on agriculture productivity, whereas agriculture employment and pesticide consumption show a positive but statistically insignificant effect on agricultural productivity in the long run. While in the short-run all determinants have a positive and significant effect on total agriculture productivity convergence towards equilibrium is shown by error correction term is 0.829.

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