scholarly journals Assessment of Formal Credit and Climate Change Impact on Agricultural Production in Pakistan: A Time Series ARDL Modeling Approach

2020 ◽  
Vol 12 (13) ◽  
pp. 5241 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Yuansheng Jiang ◽  
Abdul Rauf ◽  
Fayyaz Ahmad ◽  
Waqas Amin ◽  
...  
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Labor Force ◽  
Climatic Change ◽  
Co2 Emissions ◽  
Technology Use ◽  
Agricultural Production ◽  
Long Run ◽  
Tube Wells ◽  
Short Run

This study attempts to investigate the short-run and long-run impact of formal credit (CR) and climate change (CC, via CO2 emissions) on agricultural production (AP) in Pakistan. In addition, other imperative control variables included in this study comprise technology factors (tractors (TRs) and tube wells (TWs), energy consumption (EC), and labor force (LF). This study used annual data covering the period 1983–2016. The autoregressive distributed lag (ARDL) approach is applied to explore the cointegration between the underlying variables and used the granger causality test under the vector error correction model (VECM) context to determine the direction of causality among the variables. The findings of the ARDL bounds-testing approach suggest that there is a long-term relationship among formal credit, climate change (CO2 emissions), technology factors (tractors and tube wells), energy consumption, labor force, and agricultural production. The empirical results reveal that formal credit, technology use (tractors), and labor force have a positive and significant impact on agricultural production in both the short-run and long-run. CO2 emissions have a positive impact on agricultural production but are not significant in either case. Finally, a unidirectional relationship is established from formal credit to agricultural production; labor force to agricultural production; and electricity consumption and technology factors (tractors and tube wells) to CO2 emissions. The recent study claims that formal institutions should guarantee the redeployment of their services/amenities to those who call for them acutely, with the purpose of boosting their approach to monetary credit facilities and empower farmers to further the resilience that will capitalize on post-fruitage enrichments. Finally, considering that climatic change is a widespread fact with regional community trajectories, perhaps the global community may provide reassurance for loaning to smallholder agriculturalists through central and commercial banks by protecting the moneys that banks lend to the agriculturalists towards supporting climatic change espousal strategies.

scholarly journals Does Chinese FDI, Climate Change, and CO2 Emissions Stimulate Agricultural Productivity? An Empirical Evidence from Pakistan

2020 ◽  
Vol 12 (18) ◽  
pp. 7485 ◽  
Author(s):  
Shakeel Ahmad ◽  
Muhammad Tariq ◽  
Touseef Hussain ◽  
Qasir Abbas ◽  
Hamidullah Elham ◽  
...  
Keyword(s):  
Climate Change ◽  
Co2 Emissions ◽  
Agricultural Production ◽  
Direct Investment ◽  
Granger Causality Test ◽  
Test Results ◽  
Causality Test ◽  
Agriculture Sector ◽  
Long Run ◽  
Short Run

Pakistan’s agricultural sector growth is dwindling from the last several years due to insufficient foreign direct investment (FDI) and a drastic climate change-induced raise in temperature, which are severely affecting agricultural production. The FDI has paramount importance for the economy of developing countries as well as the improvement of agricultural production. Based on the time series data from 1984 to 2017, this paper aims to highlight the present situation of the agriculture sector of Pakistan and empirically analyze the short-run and long-run impact of Chinese foreign direct investment (CFDI), climate change, and CO2 emissions on agricultural productivity and causality among the variables. The Autoregressive Distributed Lag Model (ARDL) model and Granger Causality test were employed to find out the long-run, short-run, and causal relationships among the variables of interest. Furthermore, we have employed the Error Correction Model (ECM) to know the convergence of the equilibrium path. The bound test results verified the existence of a long-run association, and the empirical findings confirmed that Chinese FDI has a significant and positive impact, while climate change and CO2 emissions has negative impact on the agricultural growth of Pakistan both in the short-run and long-run. Granger Causality test results revealed that variables of interest exhibit bi-directional and uni-directional causality. The sector-wise flow of FDI reveals that the agriculture sector of Pakistan has comparatively received a less amount of FDI than other sectors of the economy. Based on the findings, it was suggested to the Government of Pakistan and policymakers to induce more FDI in the agriculture sector. Such policies would be helpful for the progress of the agriculture sector as well as for the economic growth of Pakistan.

scholarly journals Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Bounds Testing ◽  
Mutual Cooperation ◽  
Long Run ◽  
Short Run ◽  
Danube Region ◽  
The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

scholarly journals The effectiveness of Vietnamese policies response to climate change through ARDL analysis

2021 ◽  
Vol 11 (2) ◽  
pp. 42-52
Author(s):  
Le Hoang Nghiem ◽  
Dang Bac Hai ◽  
Tran Thi Diem Nga ◽  
Su Thi Oanh Hoa
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Economic Factor ◽  
Renewable Energy Consumption ◽  
Long Run

Being a highly vulnerable country due to climate change, Vietnam has issued various climate policies while trying to keep the pace of economic growth. The study evaluates the effectiveness of these policies by examining the effect of economic and energy factors in the efforts of controlling CO2 emissions. Approach by Autoregressive Distributed Lag (ARDL) analysis, the model of a linear regression between CO2 emissions and Gross Domestic Product (GDP), Foreign Direct Investment (FDI) & sources of energy consumption has been developed from 1985 to 2018. The study indicates that the economic factor as Foreign Direct Investment (FDI) is a possible significant element to mitigate the emission. In addition, sources of energy consumption have the important role of controlling CO2 emissions. In the long run, the consumption of non - renewable energy is a positive and significant effect on CO2 emissions while renewable energy is vice versa. These outcomes show the Foreign Direct Investment (FDI) and renewable energy consumption factors lead to the decrease of CO2 emissions in the long run for Vietnam, which implies the co-exist of economic growth and decarbonization.

scholarly journals Financial Market Development and Pollution Nexus in Saudi Arabia: Asymmetrical Analysis

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3462 ◽  
Author(s):  
Haider Mahmood ◽  
Abdullatif Alrasheed ◽  
Maham Furqan
Keyword(s):  
Saudi Arabia ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Financial Market ◽  
Market Development ◽  
Kuznets Curve ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
Financial Market Development

The study is aimed to scrutinize the presence of Environmental Kuznets Curve (EKC) hypothesis in Saudi Arabia by analyzing a period of 1971–2014. Asymmetrical impacts of Financial Market Development (FMD) and energy consumption per capita have also been tested on CO2 emissions per capita. The estimates buoyed the long and short-run relationships in the hypothesized model, and EKC is found to be true in terms of the relationship between income and pollution. Asymmetrical effects of FMD in the long run and asymmetrical effects of energy consumption per capita in the long and short run are presented on the CO2 emissions per capita. A decreasing FMD is found responsible for environmental degradation, and decreasing energy consumption per capita is found helpful in controlling CO2 emissions. The tested effect of the financial crisis is found insignificant on CO2 emissions.

scholarly journals Energy Consumption And Economic Growth In China: New Evidence From The Co-Integrated Panel VAR Model

2012 ◽  
Vol 1 (2) ◽  
pp. 51-64 ◽  
Author(s):  
Shuai Chen
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Labor Force ◽  
Capital Formation ◽  
Var Model ◽  
Panel Var ◽  
Real Gdp ◽  
Vec Model ◽  
Long Run ◽  
Short Run

This study is conducted to explore the relationship between energy consumption and economic growth in China over the period 1995-2010 using the panel time-series techniques under a multivariate framework. The results reveal that there are long-run co-integration relationship among variables real GDP, energy consumption, capital formation and labor force. Furthermore, based on the panel VEC model, there is bidirectional causality between economic growth and energy consumption, which is consistent with the growth hypothesis in terms of the energy consumption-growth nexus. The unidirectional causality from capital formation to energy consumption reveals that energy consumption cannot affect economic growth through capital formation. Additionally, real GDP, energy consumption, capital formation and labor force each respond to short-run deviations from long-run equilibrium with a slow adjustment speed. Finally, by estimating the panel VAR model, it is found that the responses of real GDP to a shock of energy consumption are negative, whereas the shock of real GDP changes is positive with most of the energy consumption response being absorbed during the six years. By variance decompositions derived from the orthogonalized impulse-response coefficient matrices, a shock in the energy consumption takes the biggest effect on real GDP in both short-run and long-run.

scholarly journals Comparative analysis of energy consumption, CO2 emissions and economic growth: evidence for OECD selected countries

2016 ◽  
Vol 4 (2) ◽  
pp. 114
Author(s):  
Samia Gmidene ◽  
Saida Zaidi ◽  
Sonia Zouari Ghorbel
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Comparative Analysis ◽  
Causal Relationship ◽  
Co2 Emissions ◽  
Nuclear Energy ◽  
Renewable Energy Consumption ◽  
Long Run ◽  
Short Run

The main purpose of this study is to investigate the causal relationship among renewable energy, nuclear energy consumption, economic growth, and CO2 emissions for selected OECD countries over the period 1980 to 2013. All variables are found to be cointgrated.Results of Granger causality show long-run relationship from GDP, renewable energy consumption and nuclear energy consumption to CO2 emissions, from CO2 emissions, GDP, to renewable energy consumption, from emissions, GDP to renewable energy, and from CO2 emissions GDP and nuclear energy consumption.In short run, results show that there exists bidirectional causality between GDP and CO2 emissions, and unidirectional causality running from renewable energy consumption to GDP. Also unidirectional causality running from renewable energy consumption to CO2 emissions without feedback but no causality running from nuclear energy consumption to CO2 emissions was found. This evidence suggests that renewable energy can help to mitigate CO2 emissions, but so far, nuclear energy consumption has not reached a level where it can CO2 emissions.

scholarly journals Are Energy Consumption, Population Density and Exports Causing Environmental Damage in China? Autoregressive Distributed Lag and Vector Error Correction Model Approaches

2021 ◽  
Vol 13 (7) ◽  
pp. 3749
Author(s):  
Mohammad Mafizur Rahman ◽  
Xuan-Binh (Benjamin) Vu
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Damage ◽  
Correction Model ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Vector Error ◽  
Long Run ◽  
Short Run

This paper investigates whether energy consumption, population density, and exports are the main factors causing environmental damage in China. Using annual data from 1971–2018, unit root tests are applied for the stationarity analyses, and Autoregressive Distributed Lag (ARDL) bounds tests are used for the long-run relationships between the variables. A Vector Error Correction Model (VECM) Granger approach is employed to examine the causal relationships amongst the variables. Our findings show that the selected variables are cointegrated, and that energy consumption and economic growth are identified as the main reasons for CO2 emissions in both the short-run and long-run. In contrast, exports reduce CO2 emissions in the long-run. Short-run unidirectional Granger causality is found from economic growth to energy consumption, CO2 emissions and exports, and from CO2 emissions to energy consumption and exports. Moreover, long-run causal links exist between CO2 emissions and exports. Five policy recommendations are made following the obtained results.

scholarly journals The Effects of Energy Consumption and National Output on CO2 Emissions: New Evidence from OIC Countries Using a Panel ARDL Analysis

2020 ◽  
Vol 12 (8) ◽  
pp. 3312 ◽  
Author(s):  
Mohd Shahidan Shaari ◽  
Zulkefly Abdul Karim ◽  
Noorazeela Zainol Abidin
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Oil And Gas ◽  
Oil Consumption ◽  
Panel Ardl ◽  
Long Run ◽  
Short Run ◽  
National Output ◽  
Gas Consumption

The issue of energy has been debated among policymakers and economists. Energy plays an important role in generating economic activities. On the other hand, it can have deleterious impacts on the environment as more carbon dioxide (CO2) emissions will be released. Most previous studies focused on total energy rather than types of energy such as oil and gas in investigating the effects of energy consumption on CO2 emissions. Therefore, this study investigates the effects of oil and gas consumption rather than total energy consumption on CO2 emissions in 20 Organization of Islamic Cooperation (OIC) countries. The dynamic heterogeneous panel (panel autoregressive distributed lag model – panel ARDL) approach namely pooled mean group (PMG), mean group (MG), and dynamic fixed effect (DFE) were employed. The main results reveal that in the long run, overall national output contributes to higher environmental degradation. However, in the short run, overall national output does not affect CO2 emissions. The results also suggest that the population can reduce CO2 emissions in the short run but leaves no effect in the long run. Besides, gas consumption and oil consumption can have deleterious effects on the environment. The effect of oil consumption is greater than the effect of gas consumption on the environment. Therefore, it is important to consume more renewable energy such as solar, biodiesel, and hydro to replace non-renewable energy, particularly oil, in a bid to conserve the environment.

scholarly journals Relationships among Carbon Emissions, Economic Growth, Energy Consumption and Population Growth: Testing Environmental Kuznets Curve Hypothesis for Brazil, China, India and Indonesia

2019 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Wahid Murad ◽  
Abu Hanifa Md. Noman ◽  
Ilhan Ozturk
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Population Growth ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Time Series Data ◽  
Series Data ◽  
Kuznets Curve ◽  
Long Run ◽  
Short Run

This study examines the impacts of income, energy consumption and population growth on CO2 emissions by employing an annual time series data for the period 1970-2012 for India, Indonesia, China, and Brazil. The study used the Autoregressive Distributed Lag (ARDL) bounds test approach considering both the linear and non-linear assumptions for related time series data for the top CO2 emitter emerging countries in both the short run and long run. The results show that CO2 emissions have increased statistically significantly with increases in income and energy consumption in all four countries. While the relationship between CO2 emissions and population growth was found to be statistically significant for India and Brazil, it has been statistically insignificant for China and Indonesia in both the short run and long run. Also, empirical observations from the testing of environmental Kuznets curve (EKC) hypothesis imply that in the cases of Brazil, China and Indonesia, CO2 emissions will decrease over the time when income increases. So based on the EKC findings, it can be argued that these three countries should not take any actions or policies, which might have conservative impacts on income, in order to reduce their CO2 emissions. But in the case of India, where CO2 emissions and income were found to have a positive relationship, an increase in income over the time will not reduce CO2 emissions in the country.

scholarly journals Energy Consumption, Income, Trading Openness, and Environmental Pollution: Testing Environmental Kuznets Curve Hypothesis

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Nguyen Van Chien
Keyword(s):  
Energy Consumption ◽  
Environmental Pollution ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Renewable Energy Sources ◽  
Trade Openness ◽  
Energy Sources ◽  
Kuznets Curve ◽  
Long Run ◽  
Short Run

The purpose of this study is to examine the effects of energy consumption, economic growth, and trade openness on environmental pollution in a developing country, especially in the case of Vietnam. The study was conducted on the basis of time-series data collected in the period of time between the years 1990 and 2014. By a method of autoregressive distributed lag and testing the hypothesis of the environmental Kuznets curve, our result demonstrated that environmental Kuznets curve could be found in both the long run and short run. There existed an inverted U-shaped relationship between different pollutants and per capita income. Further, energy consumption could positively affect carbon dioxide (CO2) emissions in the short run, but negatively could affect CO2 emissions in the long run because of transformation from non-renewable energy sources to renewable energy sources. In addition, environmental pollution converged on its long-run equilibrium by at least 29.4% with the speed adjustment via the channel of income, energy consumption, and trade openness. In terms of trade openness, the country has a positive and significant effect on CO2 emissions in both the long run and short run.

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