scholarly journals The Determinants of Food Prices in Pakistan

2012 ◽  
Vol 17 (1) ◽  
pp. 101-128 ◽  
Author(s):  
Henna Ahsan ◽  
Zainab Iftikhar ◽  
M. Ali Kemal
Keyword(s):  
Active Role ◽  
Food Prices ◽  
Significant Variable ◽  
Demand And Supply ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model

Controlling prices is one of the biggest tasks that macroeconomic policymakers face. The objective of this study is to analyze the demand- and supply-side factors that affect food prices in Pakistan. We analyze their long-run relationship using an autoregressive distributed lag model for the period 1970–2010. Our results indicate that that the most significant variable affecting food prices in both the long and short run is money supply. We also find that subsidies can help reduce food prices in the long run but that their impact is very small. Increases in world food prices pressurize the domestic market in the absence of imports, which cause domestic food prices to rise. If, however, we import food crops at higher international prices, this can generate imported inflation. The error correction is statistically significant and shows that market forces play an active role in restoring the long-run equilibrium.

scholarly journals The Relationship between Economic Development and Fatal Occupational Accidents: Evidence from Turkey

2017 ◽  
Vol 64 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Olcay Çolak ◽  
Serap Palaz
Keyword(s):  
Economic Development ◽  
Occupational Accidents ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Abstract Occupational accidents are among the most important issues of the agenda of working life in Turkey recently. Recently the causes and consequences of occupational accidents which are related to human, occupational and environmental factors have received great attention from the researchers but it has been paid little attention to focused on economic factors. The purpose of this paper is to make a contribution to redressing this gap by examining the relationship between fatal occupational accidents and economic development over the period of 1980 to 2012 for Turkey. In this context, bounds testing approach which is also known as autoregressive distributed lag model is performed. The results indicate the existence of positive relationship between gross domestic product per capita and fatal occupational accidents in the short-run while in the long run this turns out to be in a negative way via economic growth and changes in structure of the economy.

scholarly journals The Relationship between Economic Development and Fatal Occupational Accidents: Evidence from Turkey

2017 ◽  
Vol 64 (1) ◽  
pp. 19-31
Author(s):  
Olcay Çolak ◽  
Serap Palaz
Keyword(s):  
Economic Development ◽  
Occupational Accidents ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Abstract Occupational accidents are among the most important issues of the agenda of working life in Turkey recently. Recently the causes and consequences of occupational accidents which are related to human, occupational and environmental factors have received great attention from the researchers but it has been paid little attention to focused on economic factors. The purpose of this paper is to make a contribution to redressing this gap by examining the relationship between fatal occupational accidents and economic development over the period of 1980 to 2012 for Turkey. In this context, bounds testing approach which is also known as autoregressive distributed lag model is performed. The results indicate the existence of positive relationship between gross domestic product per capita and fatal occupational accidents in the short-run while in the long run this turns out to be in a negative way via economic growth and changes in structure of the economy.

Does Globalisation Promote Economic Output in Sub-Saharan Africa? Evidence from Bootstrap ARDL Model

2021 ◽  
pp. 002190962199085
Author(s):  
Huiping Dong ◽  
Yifei Cai ◽  
Xing Shi
Keyword(s):  
Sub Saharan Africa ◽  
African Countries ◽  
Economic Output ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
Sub Saharan

This study aims to investigate whether globalisation promotes economic output in Sub-Saharan African countries in both the short run and the long run. Based on the latest version of the KOF globalisation index, we employ a newly developed bootstrap autoregressive distributed lag model to analyse this question. Compared to the traditional autoregressive distributed lag model, which ignores the degenerate cases, the new approach could avoid spurious cointegration. Results show that globalisation and economic output are positively correlated for most Sub-Saharan African countries, while the causal effect cannot be concluded except for a couple of exceptions. This finding implies that globalisation cannot guarantee an increase in economic output in the long run for most Sub-Saharan African countries. The Granger causality test shows that globalisation leads to economic output for Burundi, Gabon, Rwanda, Senegal and Zambia in the short run. Conversely, economic output leads to globalisation for Burkina Faso, Cameroon, Ghana, Kenya and Senegal. For Senegal, globalisation and economic output mutually determine each other and therefore form a positive spiral development path. Policymakers should be aware of the specific features of different economies in making sound globalisation policies to avoid the underlying adverse effects of global integration.

scholarly journals International Real Estate Review

2010 ◽  
Vol 13 (1) ◽  
pp. 30-45
Author(s):  
Le Ma ◽  
◽  
Chunlu Liu ◽  
Keyword(s):  
House Price ◽  
Price Indices ◽  
Capital Cities ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
House Price Indices ◽  
Short Run ◽  
Lag Model

The study described in this paper focuses on testing the short-run and long-run relationships between house price and consumer price indices in Australia¡¦s capital cities from 1998 to 2008. The autoregressive distributed lag model is adopted to obtain the estimates of the short-run relationships, while the error correction model is used to investigate the long-run relationships. The t-statistic is used to compute the significance of these relationships. The research results give no evidence that house price indices are correlated with consumer price indices in the short run. However, the long-run relationships between house and consumer price indices exist in most of the cities.

scholarly journals EVIDENCE OF AN ASYMMETRIC IMPACT OF THE DEVALUATION OF CURRENCY ON INFLATION:

2019 ◽  
Vol 4 (1) ◽  
pp. 101-103
Author(s):  
Ahmed Balarabe Musa
Keyword(s):  
Exchange Rate ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Non Linear ◽  
Short Run ◽  
Lag Model ◽  
Asymmetric Impact ◽  
The Impact

The research is aimed at evaluating the existence of asymmetry or otherwise of the impact of devaluation of currency on inflation in Malaysia for the period 1970 – 2017. Non-linear autoregressive distributed lag model (NARDL) was used as the evaluation econometric tool of the research. The findings of the study reveal that devaluation of currency has an inflationary impact in both short run and long run. Whereas, revaluation of currency does not have any impact neither in the short run nor in the long run. This confirms the upward flexibility of the impact of the increases in the changes in the exchange rate on inflation at the same time reaffirms its rigidity downward.

scholarly journals Revisiting the Contribution of Islamic Banks’ Financing to Economic Growth: The Indonesian Experience

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Indri Supriani ◽  
Bayu Arie Fianto ◽  
Najim Nur Fauziah ◽  
Ryan Rahmah Maulayati
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Substantial Contribution ◽  
Islamic Banks ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model

The contribution of Islamic banking towards economic growth remains debatable amongst academicians and practitioners. This study investigates the relationship between Islamic banks’ financing and economic growth in Indonesia which is the largest Muslim population country. This study adopts Autoregressive-Distributed Lag (ARDL) and utilizes time-series quarterly data from 2011Q1 to 2019Q3. The study uses four predictors: financing to deposit ratio; inflation; gross capital fixed formation; and trade openness. The results from the auto-regressive distributed lag model indicate that, in the long-run, Islamic banks' financing has a significant impact on the Indonesian economy. However, in the short-run, financing does not make a substantial contribution to Indonesian economic growth. The study’s key implication is that financing by Islamic banks still makes a limited contribution to economic growth in Indonesia. This study enhances the literature review, specifically on evaluating the contribution of Islamic banks towards economic growth. Numerous existing studies on this topic covering the crisis period data, which might suffer from data bias. Therefore, this study addresses this topic, excluding the global financial crises period such as 1998, 2008, and 2020, to demonstrate Islamic banks' evident contribution to Indonesian economic growth.

scholarly journals Government Expenditure and Inflation in Nigeria

2020 ◽  
Vol 3 (2) ◽  
pp. p29
Author(s):  
Chioma Chidinma George-Anokwuru ◽  
Bosco Itoro Ekpenyong
Keyword(s):  
Money Supply ◽  
Inflation Rate ◽  
Government Expenditure ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Impact

The impact of government spending on Nigeria’s inflation levels between 1999 and 2019 was x-rayed in this paper. The data for the study were sourced from CBN statistical bulletin and Autoregressive Distributed Lag model was used as the main analytical tool. A long-run relationship among this study’s variables was realized, using the ARDL Bounds test. The result also revealed a positive but insignificant relationship between government expenditure and inflation rate in the short-run. Moreover, in the long-run, government expenditure has negative and is statistically significant inflation rate. Money supply has a negative and is statistically insignificant with inflation rate in the short-run. In the long-run, money supply has a positive and significant relationship with inflation rate. Gross domestic product was negatively related to inflation rate in both short-run and long-run. Moreover, exchange rate affected inflation rate negatively and significantly in the short-run and positively and significantly in the long-run. The increasing demands of the population affected inflation rate positively and significantly in both short-run and long-run. Investment was positively related to inflation rate but not significant in the short-run but the relationship was negative and significant in the long-run. The study therefore recommended among others that government should exercise discretion in spending in order to check inflation rate. This can be done by channeling spending on productive activities that will cushion the effect of inflation rate rather than exacerbate it.

Energy efficiency cycle and the export-oriented economic growth style in China

2021 ◽  
pp. 0958305X2110453
Author(s):  
Pengfei Sheng ◽  
Haohao Wei ◽  
Chunjie Lou
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Statistical Simulation ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Few studies addressed the relationship between the energy efficiency cycle and the export-oriented economic growth style, and our work aimed to contribute this research in the literature using China's dataset during 1985–2018. Results of the autoregressive-distributed-lag model there were two cycles in China's energy efficiency, and the first ranged from 1989 to 2002 while the second was over the period 2003–2012. Meanwhile, the estimations suggested that a 1% export increase was linked to a 0.107% increase in energy efficiency in the long run. However, the export was significantly and negatively associated with the short-run fluctuation of energy efficiency. As a result, the statistical simulation confirmed that export would raise the fluctuation range of energy efficiency.

scholarly journals Bounds Testing Approach to Cointegration: A Re-examination of FDI and Growth in Vietnam

2013 ◽  
Vol 218 ◽  
pp. 94-113
Author(s):  
ANH PHẠM THẾ ◽  
ĐÀO NGUYỄN THỊ HỒNG
Keyword(s):  
Economic Growth ◽  
Small Sample Size ◽  
Small Sample ◽  
Adjustment Process ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model

This study examines the econometric and empirical evidence of both causal and long-run relationship between foreign direct investment (FDI) and economic growth in Vietnam, covering a time span of 21 years from 1991 to 2012. The recent and robust methodology of bounds testing or autoregressive distributed lag model (ARDL) approach to Cointegration is employed for the empirical analysis. This technique can capture both short-run and long-run dynamics of variables, particularly in small sample size cases. The findings indicate the existence of a Cointegration relationship between the two time series and a modest adjustment process from short-run to long-run equilibrium. Further results from Granger causality tests conducted within the error correction model confirm a bi-directional causality between economic growth and FDI over the study period.

COINTEGRATED-BASED FORECAST OF LONG-RUN RELATIONSHIPS

2021 ◽  
Vol 14(63) (1) ◽  
pp. 153-168
Author(s):  
Klara-Dalma Deszke ◽  
Liliana Duguleana
Keyword(s):  
Vector Error Correction ◽  
Final Consumption ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Vector Error ◽  
Long Run ◽  
Lag Model ◽  
Relationship Of

The Vector Error Correction Model (VECM) and the Autoregressive Distributed Lag Model (ARDL) are used to estimate the cointegration in the case of long-run relationship of quarterly GDP and Final Consumption in Romania during the period 1995 – 2019. The actual data of 2020 Q1 and Q2 were used to check the best model’s validity. The static and dynamic approaches of the ARDL model were used to forecast the Final Consumption for Q3 and Q4 of the year 2020. Applying the cointegration model shows the long term relationship of GDP and Final Consumption, but also the effects of other factors, seen in the differences of Final Consumption from its Long-Run evolution, and comprised in the cointegrating terms.

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