An Empirical Investigation of Global Production Networks in Indian Manufacturing Sector

2021 ◽  
pp. 001946622110624
Author(s):  
Vaibhav Sinha ◽  
Balaga Mohana Rao

This article attempts to dive into the operation of global production networks in India with manufacturing sector in the primary scope of focus. It aims to analyse the long-run and short-run relationship among the factors which form a global supply chain and their effects on a supply chain, using yearly data from 1984 to 2017. Our primary results from the estimations show that all the factors incorporated into the study are important for initiation and effective execution of a supply chain. The autoregressive distributed lag model shows that Index of Industrial Production (IIP), export–import ratio, KOF index and electricity index affect a supply chain positively whereas USD–INR exchange rate and unemployment rate affect gross value added negatively. The error correction model shows long-run relationship between IIP and export–import ratio. The study also highlights the importance of trade balance and industrial production in the long run.

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
Lorna Katusiime

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.


2012 ◽  
Vol 17 (1) ◽  
pp. 101-128 ◽  
Author(s):  
Henna Ahsan ◽  
Zainab Iftikhar ◽  
M. Ali Kemal

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.


2021 ◽  
Vol 9 (3) ◽  
pp. 95-107
Author(s):  
Olumuyiwa Olamade

The long-run equilibrating relationship between the value-added growth of services and manufacturing is investigated in this research. The study is based on the well-established empirical link between manufacturing and service activities, and in particular, manufacturing's servicification. The selected variables' annualized time series were obtained from the World Development Indicators. The paper used the autoregressive distributed lag framework to regress manufacturing value-added growth against service value-added growth while accounting for economic growth, factor input growth, and trade effects. The findings revealed that in Nigeria, a strong performing services sector has a large negative impact on manufacturing performance, whereas capital accumulation and income growth have positive effects. The supply constraint of business services that the manufacturing sector requires is at the root of this finding. The paper advocates for policy frameworks that support the efficient supply of business services as both a manufacturing input and a productivity enhancer for the entire economy.


2013 ◽  
Vol 218 ◽  
pp. 94-113
Author(s):  
ANH PHẠM THẾ ◽  
ĐÀO NGUYỄN THỊ HỒNG

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.


1980 ◽  
Vol 9 (1) ◽  
pp. 41-45 ◽  
Author(s):  
G. Joachim Elterich ◽  
Sharif Masud

Milk supply response by dairy farmers in Delaware was analyzed employing distributed lag price structures for number of milk cows and milk production per cow. A polynominal distributed lag model is fitted to quarterly data with deflated prices for the period 1966 to 1978. The variations in the number of milk cows is explained by about 98 percent. Farmers react positively to milk prices after 1–2 years, while wages and feed prices have a negative impact on cow numbers. Milk production per cow shows positive adjustments to milk prices after 6 to 15 months. Technology and feed prices influence also milk production While the short-run price elasticity of milk production is only .2, the long-run aggregate elasticity grows to 2.8 percent. Intermediate-run projections of milk supply were also performed with the model.


2018 ◽  
Vol 37 (2) ◽  
Author(s):  
Adenuga Fabian Adekoya ◽  
Nor Azam Abdul-Razak

This study examines the link between unemployment and violence by controlling for income and security expenditure as an antidote to reduce violence in Nigeria. Violence claims many lives and properties in the country, which further increased the demand for public security as tax on the nation’s resources. Also, the increased unemployment in Nigeria, deserving urgent attention to be reduced, as literature has pointed out, causes idleness, deception, frustration and anger. The idea of criminal motivation and strain as an inducement to violence are supported by evidence. Considering the nature of the variables in this study, we tested for endogeneity by using annual data set from 1980 to 2015 before proceeding to test for the long-run and short-run relationship. The Bound Test used to test the cointegration while the Autoregressive Distributed Lag Model (ARDL) approach was used to conduct endogeneity test. ARDL Instrumental Variable is also employed to determine long-run and short-run estimates. The results showed that unemployment causes violence while income as a variable to economic growth reduces violence at the 1% level of significance. Similarly, the deterrence variable of security expenditure adversely affects violence at the 10% level of significance. Therefore, this study suggests policy to promote economic growth as the means of income-employment generation among the youth and the unemployed. Youth programs should be provided especially among the unemployed by granting credit facilities to finance their own projects and further strengthen the deterrence institutions. RESUMEN Este estudio examina el vínculo entre el desempleo y la violencia mediante el control de los ingresos y el gasto de seguridad, como un antídoto para reducir la violencia en Nigeria. La violencia se cobra muchas vidas y propiedades en el país, lo que aumenta aún más la demanda de seguridad pública, traducida como un impuesto a los recursos de la nación. Además, el aumento del desempleo en Nigeria, la cual merece una atención urgente que se reduzca ya que, la literatura señala, provoca ociosidad, engaño, frustración e ira. La idea de la motivación y la tensión delictiva como un incentivo a la violencia está respaldada por la evidencia. Teniendo en cuenta la naturaleza de las variables en este estudio, probamos la endogeneidad mediante el uso de datos anuales de 1980 a 2015, antes de proceder a la prueba de la relación de largo y corto plazo. El Bound Test se usó para probar la cointegración, mientras que el enfoque del Modelo de retardo distribuido autorregresivo (ARDL), se usó para realizar pruebas de endogeneidad. La variable instrumental de ARDL también se emplea para determinar estimaciones a largo y corto plazo. Los resultados mostraron que el desempleo causa violencia; mientras que el ingreso, como variable del crecimiento económico, reduce la violencia, al nivel de significancia del 1%. De manera similar, la variable de disuasión del gasto en seguridad afecta adversamente la violencia, al nivel de significancia del 10%. Por lo tanto, este estudio sugiere una política para promover el crecimiento económico como el medio de generación de empleo-empleo entre los jóvenes y los desempleados. El empoderamiento de la juventud debe proporcionarse especialmente entre los desempleados mediante la concesión de servicios de crédito para financiar proyectos propios y fortalecer aún más las instituciones de disuasión.


Management ◽  
2021 ◽  
Vol 25 (1) ◽  
pp. 28-50
Author(s):  
Bilal Louail ◽  
Mohamed Salah Zouita

Summary This study investigates the relationship between FDI, economic growth and financial development in the Next 11 countries. An analysis of the results was performed accordingly on the panel data gathered from the Next 11 countries from 1985 to 2019— using the Pooled Mean Group (PMG) estimation method and the Autoregressive Distributed Lag model approach (ARDL). The results indicate an impact of both economic growth and financial development on the FDI flows to the study of countries during the period between 1985 and 2019 in the long run, while no such proof is affirmed in the short run. This study’s contribution provides a better understanding of the dynamic relationship between FDI, economic growth, and financial development by providing decision-makers to understand the nature of the dynamic association between the study variables. This study provides empirical evidence about the association between inflows of FDI, economic growth and financial development within the context of the Next-11 countries. The previous literature lacks empirical study on the relationship between variables of study for the Next-11 countries.


2017 ◽  
Vol 64 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Olcay Çolak ◽  
Serap Palaz

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.


2019 ◽  
Vol 8 (3) ◽  
pp. 88-100
Author(s):  
Charles Gitiya Njoroge ◽  
Willy Muturi ◽  
Oluoch Oluoch

The purpose of the study was to establish the effect of exchange rate on the performance of the residential property market in Kenya. The study used secondary data that was accumulated using secondary data collection sheet from first quarter of 2005 to fourth quarter of 2018. The study conducted several test statistics and diagnostic tests in order to achieve the most optimal solution. Vector error correction model and auto-regressive distributed lag model were employed to test the hypothesis in the short run and long run respectively. The results found out that exchange rate had a negative effect on performance of residential properties in Kenya in both the short run and positive effect in long run. The study has narrowed down the research gap brought about by the conflicting emprical, theoretical and conceptual literature with regard to the effect of exchange rate on performance of residential property market in Kenya. Key Words: Exchange Rate, Performance, Residential Property


2019 ◽  
Vol 59 (7) ◽  
pp. 1282-1297 ◽  
Author(s):  
Chandan Sharma ◽  
Debdatta Pal

This study explores the asymmetric effect of exchange rate volatility on tourism demand in India from January 2006 to April 2018. Tourism demand is captured from a twin perspective—quantity and value. While quantity is represented by foreign tourist arrival in India, earnings from foreign tourists are used to represent value. The study is unique from a methodological point of view as it makes the first ever application of the nonlinear autoregressive distributed lag model of Shin, Yu, and Greenwood-Nimmo (2014), in the tourism demand literature to capture nonlinearity simultaneously in the short- as well as long-run. Results of our analysis show that tourism demand in India responds asymmetrically to both nominal and real exchange rate volatility. Also, the long-run effects of exchange rate uncertainty are shown to be more damaging than the short-run effects. Our findings are fairly robust to alternative specifications.


Sign in / Sign up

Export Citation Format

Share Document