Determinants of agricultural emissions: panel data evidence from a global sample

2020 ◽  
pp. 1-22
Author(s):  
Canh Phuc Nguyen ◽  
Thai-Ha Le ◽  
Christophe Schinckus ◽  
Thanh Dinh Su
Keyword(s):  
Panel Data ◽  
Economic Integration ◽  
Fixed Effects ◽  
Trade Openness ◽  
Ghg Emissions ◽  
Value Added ◽  
Nitrous Oxide Emissions ◽  
Distributed Lag ◽  
Long Run ◽  
Agricultural Emissions

Abstract Using the panel data of 89 economies from 1995–2012, this study examines the major drivers of agricultural emissions while considering affluence, energy intensity, agriculture value added and economic integration. We find long-run cointegration among the variables. Furthermore, our empirical results based on a dynamic fixed effects autoregressive distributed lag model show that the increases in income and economic integration – proxied by trade and foreign direct investment (FDI) – are the major contributors to higher greenhouse gas (GHG) emissions from agriculture in the short run. Additionally, the increases in income, agriculture value added and energy consumption are the major drivers of agricultural emissions in the long run. Notably, trade openness and FDI inflows have significantly negative effects on GHG emissions from agriculture in the long run. These results apply to methane and nitrous oxide emissions. The empirical findings vary across three subsamples of countries at different development stages.

scholarly journals Does Trade Liberalization Affect Energy Saving in Nigeria?

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Aliyu Alhaji Jibrilla
Keyword(s):  
Energy Use ◽  
Energy Intensity ◽  
Trade Openness ◽  
Value Added ◽  
Annual Data ◽  
Distributed Lag ◽  
Long Run ◽  
Dynamic Ols ◽  
Short Run ◽  
Auto Regressive

The study empirically examines the role of trade openness and other determinants in explaining the intensity of energy use in Nigeria using annual data from 1981 to 2015. The paper uses an auto-regressive distributed lag (ARDL) model in interpreting both long-run energy intensity as a co integrating relation, and its short-run dynamics. The robustness of ARDL results is verified using Dynamic OLS (DOLS) estimation technique. The results provide evidence of a Cointegration relation between energy intensity and its determinants. The results provide evidence that trade only significantly reduces energy intensity in the short run. Meanwhile, the results also show that income growth and industry value added have significant reducing effects on energy intensity. The results also raise some important policy issues, particularly on the inflows of foreign aid.

scholarly journals Decoupling Analysis of Greenhouse Gas Emissions from Economic Growth: A Case Study of Tunisia

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7550
Author(s):  
Mounir Dahmani ◽  
Mohamed Mabrouki ◽  
Ludovic Ragni
Keyword(s):  
Economic Growth ◽  
Greenhouse Gas ◽  
Trade Openness ◽  
Ghg Emissions ◽  
Mitigation Strategies ◽  
Stirpat Model ◽  
Distributed Lag ◽  
Long Run ◽  
Decoupling Analysis ◽  
The Impact

The study examined the impact of different factors on greenhouse gas (GHG) emissions, by applying the extended STIRPAT model and decoupling analysis for Tunisia for the period 1990–2018. Furthermore, the study utilizes Tapio decoupling model, and the Auto-Regressive Distributed Lag (ARDL) bounds test approach to examine the relationship between the variables of greenhouse gas (GHG) emissions, economic growth, energy consumption, urbanization, innovation, and trade openness. The findings validated an inverted U-shape relationship between GDP and GHG emissions. In addition, we find that the consumption of renewable energy contributes to the reduction of GHG emissions in the long run. The findings call authority for the adaption of the regulatory framework relating to energy management, energy efficiency and the development of renewable energies, as well as to initiate energy market reforms, implement mitigation strategies and encourage investments in clean energies.

scholarly journals Causal Links between Trade Openness and Foreign Direct Investment in Romania

2021 ◽  
Vol 14 (3) ◽  
pp. 90
Author(s):  
Malsha Mayoshi Rathnayaka Mudiyanselage ◽  
Gheorghe Epuran ◽  
Bianca Tescașiu
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Trade Openness ◽  
Test Procedure ◽  
Real Effective Exchange Rate ◽  
Foreign Direct Investments ◽  
Causality Test ◽  
Fdi Inflows ◽  
Distributed Lag ◽  
Long Run

In this increasingly globalized era, foreign direct investments are considered to be one of the most important sources of external financing for all countries. This paper investigates the causal relationship between trade openness and foreign direct investment (FDI) inflows in Romania during the period 1997–2019. Throughout this study, Trade Openness is the main independent variable, and Gross Domestic Product (GDP), Real Effective Exchange Rate (EXR), Inflation (INF), and Education (EDU) act as control variables for investigating the relationships between trade openness (TOP) and FDI inflow in Romania. The Auto Regressive Distributed Lag (ARDL) Bounds test procedure was adopted to achieve the above-mentioned objective. Trade openness has negative and statistically significant long-run and short-run relationships with FDI inflows in Romania throughout the period. Trade openness negatively affects the FDI inflow, which suggest that the higher the level of openness is, the less likely it is that FDI will be attracted in the long run. The result of the Granger causality test indicated that Romania has a unidirectional relationship between trade openness and FDI. It also showed that the direction of causality ran from FDI to trade openness.

scholarly journals Analysis of the New Kuznets Relationship: Considering Emissions of Carbon, Methanol, and Nitrous Oxide Greenhouse Gases—Evidence from EU Countries

2021 ◽  
Vol 18 (6) ◽  
pp. 2907
Author(s):  
Mara Madaleno ◽  
Victor Moutinho
Keyword(s):  
Nitrous Oxide ◽  
Least Squares ◽  
Fixed Effects ◽  
Ghg Emissions ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Short Run ◽  
The Eu

Decreased greenhouse gas emissions (GHG) are urgently needed in view of global health threat represented by climate change. The goal of this paper is to test the validity of the Environmental Kuznets Curve (EKC) hypothesis, considering less common measures of environmental burden. For that, four different estimations are done, one considering total GHG emissions, and three more taking into account, individually, the three main GHG gases—carbon dioxide (CO2), nitrous oxide (N2O), and methane gas (CH4)—considering the oldest and most recent economies adhering to the EU27 (the EU 15 (Old Europe) and the EU 12 (New Europe)) separately. Using panel dynamic fixed effects (DFE), dynamic ordinary least squares (DOLS), and fully modified ordinary least squares (FMOLS) techniques, we validate the existence of a U-shaped relationship for all emission proxies considered, and groups of countries in the short-run. Some evidence of this effect also exists in the long-run. However, we were only able to validate the EKC hypothesis for the short-run in EU 12 under DOLS and the short and long-run using FMOLS. Confirmed is the fact that results are sensitive to models and measures adopted. Externalization of problems globally takes a longer period for national policies to correct, turning global measures harder and local environmental proxies more suitable to deeply explore the EKC hypothesis.

scholarly journals Consequences of Capital formation, Trade Liberalization on the Economic Growth: Pakistan’s Experience

2015 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
Nadia Bukhari ◽  
Anjum Iqbal
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Capital Formation ◽  
Vital Role ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
Adf Test

This study considers the long run relationship between the liberalization of trade, capital formation and the economic growth of Pakistan by using the time series data from 1975-2013. The main aim of this study is to examine that how much liberalization of trade and capital formation affects the economic growth of Pakistan in long run. The approach that has been used for empirical analysis is Auto Regressive Distributed Lag (ARDL) model. Under the ADF test capital formation (CF) is stationary at its first level but the trade openness (TO) and GDP is stationary at its first difference. Moreover, the granger casualty test is evident that there become a casual relationship between the trade openness and GDP. The result of this study shows that both the trade openness and the capital formation determined the economic growth in long run and they both have statistically significant effect on the GDP. Furthermore it has has been depicted from the study that the trade has a vital role to influence the economic growth.

scholarly journals The Impact of Industrialization, Trade Openness, Financial Development, and Energy Consumption on Economic Growth in Indonesia

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Financial Development ◽  
Correction Term ◽  
Trade Openness ◽  
Ordinary Least Squares ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.

scholarly journals A Long Run ARDL Investigation of Manufacturing Adjustment to the Services Economy in Nigeria

2021 ◽  
Vol 9 (3) ◽  
pp. 95-107
Author(s):  
Olumuyiwa Olamade
Keyword(s):  
Capital Accumulation ◽  
Negative Impact ◽  
Manufacturing Sector ◽  
Value Added ◽  
Business Services ◽  
Development Indicators ◽  
Services Sector ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run

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.

scholarly journals DAMPAK PEMBANGUNAN EKONOMI, PENGELUARAN RUMAH TANGGA, DAN KETERBUKAAN PERDAGANGAN TERHADAP KONSUMSI ENERGI FINAL DI INDONESIA

2019 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Bambang Priyo Cahyono ◽  
Yusro Hakimah
Keyword(s):  
Energy Consumption ◽  
Trade Openness ◽  
Value Added ◽  
Short Term ◽  
Final Consumption ◽  
Final Energy ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Final Energy Consumption

This study investigates the impact of economic growth on three main development sectors, household final consumption expenditure, and trade openness towards the growth of final energy consumption in Indonesia using annual data for the period 1972-2016. We applied autoregressive distributed lag (ARDL) procedures which consist of stationarity test, cointegration test, as well as estimation the short-term and long-term relationships. The cointegration test revealed existence cointegration<br />relationship among the variables in the model. In the short-term and long-term model, our results indicated that the growth of value-added in agriculture sector and industry sector, household final consumption expenditures, and trade openness in the short-term and long-term have a significant effect toward final energy consumption in Indonesia, while the growth of value-added in the service sector only given a short-term effect toward final energy consumption in Indonesia. Based on these<br />results, it can be concluded that sustainable economic development in Indonesia needs to be accompanied by the development of new and renewable energy in order to fulfil domestic energy supply which is predicted to continue to increase rapidly in the future.<br />Keyword : final energi consumption, economic development, household final consumption expenditure, trade openness, autoregressive distributed lag modeling<br />JEL Classification : D1, E21, F14, O13, Q43.

Nexus between Openness to Trade and Economic Growth: An Empirical Investigation of Afghanistan

2019 ◽  
Vol 20 (2) ◽  
pp. 205-223
Author(s):  
Nassir Ul Haq Wani
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Decomposition Analysis ◽  
Developed Countries ◽  
Least Square ◽  
Capital Goods ◽  
Promotion Strategy ◽  
Distributed Lag ◽  
Long Run ◽  
Volume Of Trade

The notion that the international trade is the foundation of economic growth dates long back, and even now, an irresistible body of literature confirms a strong and positive link between trade openness and economic growth. However, most of these studies are focused on developed countries. Indeed literature from developing countries are scant, those from under developed and a landlocked country like Afghanistan are almost non-existent. This article endeavours to innovatively scrutinize the relationship between trade liberalization and economic growth in Afghanistan, using biannual data for the period 1995–2016 and thus evaluates the comparative effect of three different measures of trade openness on the economic growth by using more rigorous econometric techniques. Autoregressive distributed lag (ARDL) method, JJ CO-integration and ordinary least square (OLS) results suggest significant positive long-run relationship between export and economic growth. In contrast, total volume of trade and imports have significant negative effect on the economic growth. The addition of variables and results of fully modified OLS suggest that the results are robust. The Granger causality and variance decomposition analysis indicate the unidirectional causality between trade openness and economic growth. In export model, causality runs from export to growth. Whereas, in the model with total volume of trade and import, causality runs from growth to total volume of trade and imports in Afghanistan. From the findings, it is concluded that the policymakers should focus on export promotion strategy to enhance the economic growth in Afghanistan. Besides, efficient utilization of capital goods should be ensured and reliance on non-capital goods should be less in order to ensure high domestic production in the country. JEL: F10, F43, C22

scholarly journals Mastering Panel Metrics: Causal Impact of Democracy on Growth

2019 ◽  
Vol 109 ◽  
pp. 77-82 ◽  
Author(s):  
Shuowen Chen ◽  
Victor Chernozhukov ◽  
Iván Fernández-Val
Keyword(s):  
Panel Data ◽  
Statistical Inference ◽  
Fixed Effects ◽  
State Of The Art ◽  
Panel Data Analysis ◽  
High Dimensional ◽  
Econometric Methods ◽  
Long Run ◽  
Causal Impact ◽  
The Relationship

We revisit the panel data analysis of Acemoglu et al. (forthcoming) on the relationship between democracy and economic growth using state-of-the-art econometric methods. We argue that panel data settings are high-dimensional, resulting in estimators to be biased to a degree that invalidates statistical inference. We remove these biases by using simple analytical and sample-splitting methods, and thereby restore valid statistical inference. We find that debiased fixed effects and Arellano-Bond estimators produce higher estimates of the long-run effect of democracy on growth, providing even stronger support for the key hypothesis of Acemoglu et al.

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