scholarly journals Does Climate Change Asymmetrically Affect Rice Productivity In India? New Insight From NARDL Cointegration Approach

Author(s):  
Imran Ali Baig ◽  
Abbas Ali Chandio ◽  
Md. Abdus Salam

Abstract This article attempt to answer the question "whether the dynamic relationship between climate change and rice productivity is symmetrical or asymmetrical" using data from 1990-2017 in India. First, we test the symmetrical and long-run dynamic relationship using the Autoregressive Distributed Lags (ARDL) model and test the asymmetrical and cointegration relationship based on Nonlinear Auto-Regressive Distributed Lag (NARDL) technique. The results of the ARDL model indicates that no symmetrical relationship between the variables in long-run. Whereas outcomes of the NARDL bound test reveal that there is long-run asymmetrical impact of climate change on rice productivity. The positive and negative shock of climate change has affected the rice productivity by different magnitude in India. The Wald statistics confirm asymmetric relationship between rice productivity and climate change in the long-run while only short-run asymmetrical relationships exist between rainfall and rice productivity in India.Furthermore, dynamic multipliers indicate that negative component of rainfall and temperature has a dominant effect over the positive component on rice productivity. To the best of the author's knowledge, no studies have been done to assess both symmetrical and asymmetrical dynamic relationships between climate change and rice productivity using ARDL and NARDL cointegration approaches in India's context. This study will help frame the environmental policies and strategy to cope with climate change in India's agriculture productivity.

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1494 ◽  
Author(s):  
Titus Isaiah Zayone ◽  
Shida Rastegari Henneberry ◽  
Riza Radmehr

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.


2020 ◽  
Vol 12 (5(J)) ◽  
pp. 23-32
Author(s):  
Elham Shubaita ◽  
Muhammad Mar’i ◽  
Mehdi Seraj

This paper investigates the relationship between trade balance, real exchange rates, and incomes in Tunisia by adopting the autoregressive distributed model (ARDL) by using data over the period of 1980 to 2018. We also used the bound test cointegration between variables at a 10% significant level. Our findings show that the Tunisia economy does not match the Marshall-Lerner condition in the long run, that provides an accurate description of the particular situation for which a country currency devaluation or depreciation its currency under both fixed or floating regime is predicted to enhance the trade balance of a country, which means there is no j-curve phenomenon in the long run, which tries to differentiate between the change of short-run and long-run effects in the change of exchange rate on the trade balance. Our findings match the Marshall-Lerner condition in the short run and can confirm the existing j-curve in the case of Tunisia.


2009 ◽  
Vol 41 (2) ◽  
pp. 521-528 ◽  
Author(s):  
Jungho Baek ◽  
Won W. Koo

This study examines the short- and long-run effects of changes in macroeconomic variables—agricultural commodity prices, interest rates and exchange rates—on the U.S. farm income. For this purpose, we adopt an autoregressive distributed lag (ARDL) approach to cointegration with quarterly data for 1989–2008. Results show that the exchange rate plays a crucial role in determining the long-ran behavior of U.S. farm income, but has little effect in the short-run. We also find that the commodity price and interest rate have been significant determinants of U.S. farm income in both the short- and long-run over the past two decades.


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.


2021 ◽  
pp. 245513332110507
Author(s):  
Emmanuel Uche ◽  
Sunday Ikedinobi Nwamiri

The dynamic relationship between exchange rate movements (appreciation and depreciation) and macroeconomic fundamentals had preoccupied the minds of researchers across the globe. Consequently, extensive research works have been conducted to unravel the puzzle; however, the findings remain inconclusive. The inconclusiveness of these researches may not be unconnected with the choice of model, the omission of key variables and erroneous assumption of symmetric interrelationships of the variables. To mitigate such error and fill the observed research gaps, this study leveraged on the non-linear autoregressive distributed lag to trace the possible asymmetric pass-through of the exchange rate to output growth in Nigeria. The study made use of monthly time series for the period 2000M1–2018M12 for empirical estimations. The empirical findings reveal an asymmetric pass-through from exchange rate to productivity. Exchange rate depreciation led to output retardation in the short run, but neither appreciation nor depreciation of the exchange affected output in the long run. The findings highlight that exchange rate depreciation of the local currency does not improve the country’s productivity. This reveals a disconnection and misalignment between exchange and productivity in Nigeria. The findings call for proper alignment of the Naira exchange rate with the U.S. dollar for improved productivity in the economy.


2020 ◽  
Vol 11 (2) ◽  
pp. 154
Author(s):  
Amar Singh ◽  
Arvind Mohan

Foreign investment is a major factor to determine volatility in the stock market. To discover the influence on Stock Market volatility of foreign investment we have considered FE, FD, and FDI as proxy variables of foreign investment and Indian stock market volatility is represented by Indian vix. The period for this study is 2009 to 2017 (monthly data).  To address this issue of volatility in the long/short-run we have applied the ARDL. The preference given to the ARDL model over Johansen co-integration is to the difference in the order of integration among the variables. ARDL model allows us to combine the I(0) and I(1) series whereas I(1) required in the case of Johansen approach. Results of unit root confirm the I(0)/I(1) order of integration, which allows us to apply the ADRL bound test. F-statistics is higher than the upper bound critical value at 10%, 5% and providing the evidence of co-integration among variables at a 5% level of significance. Hence, there is a long-run relationship amid the variables. Long-run form results show the negative sign of the coefficient and it is significant. The ECM value is (-0.9671) and it confirms that nearly 96.71 % of the inaccuracy rose in each period and automatically corrected in specified time period.


2020 ◽  
Vol 9 (3) ◽  
pp. 6
Author(s):  
Adamu Mulu Ketema ◽  
Kasahun Dubale Negeso

Currently climate change is known as the major environmental problem the world face. Its effect is openly reduces agricultural output in particular and economic growth in general. The aim of the study was to examine the long run and short run effect of climate change on agricultural output in Ethiopia over a period of 1980-2016. The ARDL approach to co integration was applied to examine the long run and short run effect of climate change on agricultural output. ADF test was used for Unit root test. The finding of bound test shows that there is stable long run relationship between RAGDP, labour force, Mean annual rainfall, Average temperature, agriculture land, and fertilizer input import. The estimated long run model reveals that climate changes have an important effect on agricultural output which is the main contributor of overall GDP of the country. The coefficient of error correction term is -0.738 suggesting about 73.8% percent annual adjustment towards long run equilibrium. The estimate coefficients of short run show that mean annual rainfall have significant effect but average temperature is insignificant effect on output. In the long run both main variable of interest have significant effect on agricultural output with a positive effect from mean annual rainfall and negative effect from average temperature. To reduce the effect of climate change the study recommends government and stakeholders needs to create a specific policies to reduce the effect of climate change especially focus on technological innovation that avert effect of increase in temperature that would result increase on the output and adopting technology at macro and micro level.. 


2020 ◽  
Vol 8 (3) ◽  
pp. 195-208
Author(s):  
Adamu Mulu Ketema ◽  
Kasahun Dubale Negeso

Currently change in climate is known as the main environmental difficult that the world face. Its effect is openly reduces agricultural output in particular and economic growth in general. The main objective of the study was to examine the long run and short run effect of climate change on agricultural output in Ethiopia over a period of 1980-2016. The Auto Regresive Distributive Lag approach to co integration was applied to examine the long run and short run effect of climate change on agricultural output. ADF test was used for Unit root test. Result of bound test reveals that there is stable long run relationship between RAGDP, labour force, Mean annual rainfall, Average temperature, agriculture land, and fertilizer input import. The estimated long run model reveals that climate changes have an important effect on agricultural output which is the main contributor of overall GDP of the country. The coefficient of error correction term is -0.738 suggesting about 73.8% annual adjustment towards long run equilibrium. The estimate coefficients of short run show that mean annual rainfall have significant effect whereas average temperature has insignificant effect on output. In the long run both main variable of interest have significant effect on agricultural output with a positive effect from mean annual rainfall and negative effect from average temperature. In order to lessen the effects the study recommends concerned body needs to create a specific policies especially focus on technological adoption that avert effect of increase in temperature and that would result increase on the output by adopting technology at macro and micro level, additionally information regarding climate should be available for producers and consumer.


2015 ◽  
Vol 7 (11) ◽  
pp. 10
Author(s):  
Martins Iyoboyi ◽  
Abdelrasaq Na-Allah

<p>In this paper, the impact of policy and institutions on non-oil exports in Nigeria is investigated, using data from secondary sources for the period 1961-2012, and implemented through the autoregressive distributed lag framework. Non-oil exports were found to have a long-run equilibrium relationship with policy and institutional variables. Money supply and exchange rate were found to be positively associated with and statistically significant determinants of non-oil exports in the long and short run. Fiscal deficit, interest rate, ‘constraints on the executive’ and openness were found to be inversely related to non-oil exports in both the short and long run. While inflation was found to be negatively related to non-oil exports in the short run, it is the reverse in the long run. An enhanced political institutional framework is required, that is attuned to growth in the non-oil sector of the economy, as a mechanism for improving the country’s non-oil exports.</p>


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