scholarly journals Nexus between Climate Change and Agricultural Production in Odisha, India: An ARDL Approach

2021 ◽  
Vol 6 (2) ◽  
pp. 136-144
Author(s):  
Pratap Kumar Jena
Keyword(s):  
Climate Change ◽  
Agricultural Production ◽  
Agricultural Research ◽  
Climate Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
The Government ◽  
The Impact ◽  
The Relationship

Climate change is an emerging issue particularly in agricultural research as it is observed that the climate change has unfavorably distressed the agricultural production in different regions in India. Therefore, the present study has empirically examined the relationship between climate change and agricultural production in the selected districts of Odisha, India using a Panel Autoregressive Distributed Lag (PARDL) model over the period 1993 to 2019. The study found that the climate variables have adversely affected the crops production in the districts of Odisha. In order to minimize the impact of climate change on crops production in the state, there must have implementation of various policies and adaptive strategies by the government and farmers.

SHORT-RUN AND LONG-RUN IMPACT OF INFLATION, UNEMPLOYMENT, AND ECONOMIC GROWTH TOWARDS POVERTY IN INDONESIA: ARDL APPROACH

2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani
Keyword(s):  
Economic Growth ◽  
Poverty Alleviation ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
The Government ◽  
The Impact

 Poverty alleviation has become a vigorous program in the world in recent decades. In line with the efforts applied by the government in various countries to reduce poverty, some evaluations have been practised. The impacts of macroeconomic variables such as inflation, unemployment, and economic growth have been commonly employed to be assessed for their impact on the poverty. Previous studies in Indonesia yielded mix results regarding the impact of such macroeconomic variables on the poverty. Different methods and time reference issue were the suspected causes. This paper aims to overcome such problem by utilising the Autoregressive Distributed Lag (ARDL) equipped with the latest time of observations. This paper finds in the long-run, inflation, unemployment, and economic growth significantly influence the poverty. In the short-run, only inflation and economic growth are noted affecting poverty significantly. 

scholarly journals THE LINK BETWEEN CARBON EMISSIONS, AGRICULTURAL OUTPUT AND INDUSTRIAL OUTPUT: EVIDENCE FROM SOUTH AFRICA

2020 ◽  
Vol 21 (2) ◽  
pp. 301-316 ◽  
Author(s):  
Mabutho Sibanda ◽  
Hlengiwe Ndlela
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Carbon Emissions ◽  
Industrial Sector ◽  
Industrial Output ◽  
Agricultural Output ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Annual Frequency ◽  
The Relationship

This study seeks to establish the relationship between carbon emissions, agricultural output and industrial output in South Africa. It uses data from 1960 to 2017 based on an annual frequency, giving a total of 58 annual observations. The Autoregressive Distributed Lag technique is employed to estimate the model on a bivariate basis. The evidence shows that carbon emissions are not influenced by agricultural and industrial output. Conversely, agricultural output is influenced by carbon emissions and industrial output. The results suggest that climate change resulting from carbon emissions has led to reduced agricultural output, adversely affecting food security. The significant relationship between industrial and agricultural output suggests that a properly functioning industrial sector will cause an increase in the agricultural output. The study’s findings have implications for climate change and manufacturing policies in South Africa.

scholarly journals Changes in Crude Oil Prices and the Flow of Government Revenue

2019 ◽  
pp. 1-12
Author(s):  
Chukwunweike Stella ◽  
Achu Tonia Chinedu ◽  
Awa Kalu Idika
Keyword(s):  
Oil Prices ◽  
Oil Price ◽  
Government Revenue ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Oil Revenue ◽  
Crude Oil Prices ◽  
Regression Techniques ◽  
The Government ◽  
The Impact

This work is set out as an investigation into the impact of change in oil prices on government revenue broken into oil and nonoil component. Drawing data from the Central Bank Statistical Bulletin and covering the period 1981 to 2018. The Autoregressive Distributed Lag (ARDL) Model was used because of its advantages over other regression techniques. It was found that changes in oil price affected oil revenue within the studied period leaving no significant impact on nonoil revenue. The result obviously reflects the Nigerian economy and its mono-product characteristic. It is therefore recommended that a conscious policy effort should be made to diversify the economy in a manner that makes revenue to the government multifarious functions.

scholarly journals Determining the sensitivity of grassland area burned to climate variation in Xilingol, China, with an autoregressive distributed lag approach

2019 ◽  
Vol 28 (8) ◽  
pp. 628 ◽  
Author(s):  
Ali Hassan Shabbir ◽  
Jiquan Zhang ◽  
Xingpeng Liu ◽  
James A. Lutz ◽  
Carlos Valencia ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wildland Fire ◽  
Strong Relationship ◽  
Maximum Temperature ◽  
Climate Variables ◽  
Area Burned ◽  
Distributed Lag ◽  
Temperature And Precipitation ◽  
Autoregressive Distributed Lag ◽  
The Relationship

We examined the relationship between climate variables and grassland area burned in Xilingol, China, from 2001 to 2014 using an autoregressive distributed lag (ARDL) model, and describe the application of this econometric method to studies of climate influences on wildland fire. We show that there is a stationary linear combination of non-stationary climate time series (cointegration) that can be used to reliably estimate the influence of different climate signals on area burned. Our model shows a strong relationship between maximum temperature and grassland area burned. Mean monthly wind speed and monthly hours of sunlight were also strongly associated with area burned, whereas minimum temperature and precipitation were not. Some climate variables like wind speed had significant immediate effects on area burned, the strength of which varied over the 2001–14 observation period (in econometrics terms, a ‘short-run’ effect). The relationship between temperature and area burned exhibited a steady-state or ‘long-run’ relationship. We analysed three different periods (2001–05, 2006–10 and 2011–14) to illustrate how the effects of climate on area burned vary over time. These results should be helpful in estimating the potential impact of changing climate on the eastern Eurasian Steppe.

Asymmetric relationship between tourist arrivals and employment

2020 ◽  
pp. 135481662091000
Author(s):  
Jitendra Sharma ◽  
Subrata Kumar Mitra
Keyword(s):  
Sri Lanka ◽  
Relative Stability ◽  
Annual Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Desirable Outcome ◽  
The Impact ◽  
The Relationship ◽  
Nonlinear Autoregressive ◽  
Reference Country

This article explores the relationship between the arrival of tourists and its impact on tourism-related employment. Considering the impact of tourist arrival on employment being asymmetric, we have analyzed the relationship using the nonlinear autoregressive distributed lag method proposed by Shin et al. The article analyzed how arrivals impact on employment taking Sri Lanka as a reference country and have used annual data of the variables obtained from the Sri Lanka Tourism Development Authority. It is found that for an increase in the tourist arrival by 1000, the tourism-related job employment rises by 83.8. On the contrary, with the decline in tourist arrival by the same number, the corresponding reduction in job employment is 29.8. The relatively lower reduction in employment with the fall of tourist arrival provides relative stability of employment to the tourism workforce and is a socially desirable outcome.

On the Evolutionary Interplay Between Remittances, Financial Development, and Economic Growth

2019 ◽  
pp. 78-96
Author(s):  
Ramzi Fahrani ◽  
Azza Béjaoui
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Data Series ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Stable Economy ◽  
Relationship Of ◽  
The Impact

In this chapter, the authors attempt to investigate the interaction between remittances and financial development and its impact on the economic growth over the period 1980-2016. In this respect, they apply the autoregressive distributed lag bound test (ARDL) approach on cross-country of data series from 1980 to 2016 to study the short- and long-run relationship of remittances and financial development with economic growth. The empirical results show that the direct effects of shipments on growth are significant. On the other hand, the impact of remittances on economic seems to be more significant by means of the financial development. It also shows that these shipments are more efficient in the case of a less developed informal sector, a politically stable economy, and a developed financial structure.

Loss of Employment, Lockdown Measures and Government Responses in Malaysia during the Covid-19 Pandemic: A Note

2021 ◽  
Vol 22 (3) ◽  
pp. 1525-1549
Author(s):  
Muzafar Shah Habibullah ◽  
Mohd Yusof Saari ◽  
Sugiharso Safuan ◽  
Badariah Haji Din ◽  
Anuar Shah Bali Mahomed
Keyword(s):  
Job Loss ◽  
Positive Association ◽  
Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Auto Regressive ◽  
The Government ◽  
The Relationship ◽  
Stimulus Package

In this paper, we use daily administrative data from January 25, 2020 to December 31, 2020 to examine the relationship between job losses and the Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used to estimate both the long-run and short-run models. The results of the Bounds F-test for cointegration reveal that there is a long-run link between job losses and the Malaysian government lockdown measures (both linear and non-linear). The positive association between job loss and lockdown measures shows that as the lockdown gets tighter, more people will lose their jobs. However, as time passes, especially in conjunction with the government stimulus package programmes, job losses decrease.

An empirical investigation of the relationship between the real exchange rate and net FDI inflows in Mauritius

2019 ◽  
Vol 11 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Ashok Babubudjnauth ◽  
Boopendra Seetanah
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Content Type ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
The Impact ◽  
Time Series Methodology ◽  
Official Sources ◽  
The Relationship

Purpose The purpose of this paper is to find out the impact of real exchange rate on foreign direct investment (FDI) in Mauritius. Design/methodology/approach Autoregressive distributed lag time series methodology is used. Findings Real exchange rate depreciation enhances inflows of FDI in both the short and long run. Originality/value The research is original, and data used are from official sources.

scholarly journals The Relationship between Carbon Dioxide Emissions, Economic Growth and Agricultural Production in Pakistan: An Autoregressive Distributed Lag Analysis

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4644 ◽  
Author(s):  
Sajjad Ali ◽  
Li Gucheng ◽  
Liu Ying ◽  
Muhammad Ishaq ◽  
Tariq Shah
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Agricultural Production ◽  
Carbon Dioxide Emissions ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short Run ◽  
Production Economic ◽  
Sorghum Production ◽  
The Relationship

This study aims to explore the casual relationship between agricultural production, economic growth and carbon dioxide emissions in Pakistan. An autoregressive distributed lag (ARDL) model is applied to examine the relationship between agricultural production, economic growth and carbon dioxide emissions using time series data from 1960 to 2014. The Augmented Dickey–Fuller (ADF), Phillips–Perron (PP) and Kwiatkowski–Phillips–Schmidt–Shin (KPSS) tests are used to check the stationarity of variables. The results show both short-run and long-run relationships between agricultural production, gross domestic product (GDP) and carbon dioxide emissions in Pakistan. From the short-run estimates, it is found that a 1% increase in barley and sorghum production will decrease carbon dioxide emissions by 3% and 4%, respectively. The pairwise Granger causality test shows unidirectional causality of cotton, milled rice, and sorghum production with carbon dioxide emissions. Due to the aforementioned cause, it is essential to manage the effects of carbon dioxide emissions on agricultural production. Appropriate steps are needed to develop agricultural adaptation policies, improve irrigation facilities and introduce high-yielding and disease-resistant varieties of crops to ensure food security in the country.

scholarly journals Indonesian government’s primary balance and debt

2021 ◽  
Vol 24 (1) ◽  
pp. 133-152
Author(s):  
Muhammad Salahudin Al Ayyubi ◽  
Putu Mahardika Adi Saputra
Keyword(s):  
Interest Rates ◽  
Government Debt ◽  
Fiscal Sustainability ◽  
Revenue Growth ◽  
Tax Revenues ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short Run ◽  
The Government ◽  
The Impact

This study aims to determine the Indonesian fiscal sustainability condition by analyzing the impact of government debt on primary balance for the 1980-2018 period. Accordingly, we analyze the research data by using the Autoregressive Distributed Lag (ARDL) method. The results show that government debt has a significant and positive effect on primary balance, likely because the government intends to stimulate the economy and boost tax revenues by keeping debt interest rates low. Therefore, based on Bohn’s condition, Indonesia exhibits sustainable fiscal policies. However, in the short run,  government debt negatively affects primary balance due to several factors, such as suboptimal tax efforts and revenue growth, unproductive use of debts, and relatively low capital expenditures. In sum, our research results recommend that the Indonesian government considers various policies that likely offset increased debts, such as intensifying and extending tax efforts to increase tax revenues and increase government spending in various productive sectors.

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