scholarly journals The Linkage Among Sea Transport, Trade Liberalization and Industrial Development in the Context of CO2: An Empirical Investigation From China

2021 ◽  
Vol 9 ◽  
Author(s):  
Salih Kalaycı ◽  
Cihan Özden
Keyword(s):  
Carbon Dioxide ◽  
Trade Liberalization ◽  
Industrial Development ◽  
Carbon Dioxide Emission ◽  
Least Square ◽  
Ordinary Least Square ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Sea Transportation ◽  
Bound Test

The major goal of this paper is to focus on the linkage between sea transportation, trade liberalization and industrial development in the context of carbon dioxide emission. With this respect, it is attempted to analyze the effects of independent variables on the dependent variable carbon dioxide emission for China by using annual data ranging from 1960 to 2019 with the help of econometric methods such as fully modified least square, dynamic ordinary least square, canonical co-integrating regression, autoregressive distributed lag bound test and generalized moments method. According to the results of fully modified least square, dynamic ordinary least square and canonical co-integrating regression models, there is a significant long-term relationship between sea transportation, trade liberalization, industrial development and carbon dioxide emissions. On the other hand, short term autoregressive distributed lag bound test estimation results reveal that the main determinants of carbon dioxide emission in the short-run are industrial development and sea transportation. The empirical tests reveal important results for policy-makers in China.

scholarly journals The Linkage among Sea Transportation, Trade Liberalization and Industrial Development in the context of Carbon Dioxide Emissions: An Empirical Investigation from China

2020 ◽  
Author(s):  
Salih Kalaycı ◽  
Cihan Özden
Keyword(s):  
Carbon Dioxide ◽  
Trade Liberalization ◽  
Carbon Dioxide Emissions ◽  
Industrial Development ◽  
Maritime Transport ◽  
Short Term ◽  
Correction Model ◽  
Sea Transportation ◽  
Short Run

AbstractThe major goal of this paper is to focus on the existing literature regarding the linkage between maritime, trade liberalization and industrial development in the context of CO2 by using econometrical model. In this context, it is attempted to reveal the effects of independent variables on CO2 (dependent variable) for China from 1980 to 2013 (annual data) by implementing Phillips-Perron (PP), Zivot-Andrews unit root tests, FMOLS, DOLS, CCR, ARDL and GMM methods. According to results of FMOLS, DOLS and CCR models there is a long-term stable relationship between sea transportation, trade liberalization, industrial development and carbon dioxide emissions which is proved empirically. Similarly, Short term ARDL estimation results reveal that the main determinants of CO2 in the short-run are changed in industrial development and maritime transport at 1% significance level. Table 6 summarizes the short-term ARDL results and the findings regarding the error correction model. According to Table 6, error correction model works in order to reach short-run adjustment. In the short term, approximately 78% of shocks in industrial development, maritime transport and trade liberalization are compensated within a period of time and the system is re-established in the long term. China produced half of the 1.2 million electric media used worldwide; the government directs its attention to the rehabilitation and reuse of all these lithium-ion batteries. Large-scale production of biofuels can still be several years away. Crude oil might be very difficult to promote alternative fuels on a national scale unless crude oil prices surge so high as to become unaffordable. Authorities underline: China will become the world’s number one economy. Now renewable energy will be more important, which should be encouraged to use by government on transportation so as to reduce the CO2 emissions. However, China can be leader excess oil use for transport if they want to dominate the economy worldwide.

scholarly journals Does Monetary Policy Affect Economic Growth in Jordan? Evidence from Ordinary Least Square Models

2018 ◽  
Vol 12 (1) ◽  
pp. 27
Author(s):  
Mohamed Ibrahim Mugableh
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Positive Impact ◽  
Least Square ◽  
Vector Error Correction ◽  
Ordinary Least Square ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run

The main objective of this paper is to analyze equilibrium and dynamic causality relationships between monetary policy tools and economic growth in Jordan for the period (1990-2017). For this purpose, it considers the autoregressive distributed lag (ARDL) and vector error correction (VEC) models estimations. The results of ARDL approach show that monetary policy variables (i.e., real interest rate and money supply) have positive impact on economic growth in long-run and short-run except inflation rate. In addition, the results of VECM indicate bidirectional causal relationships between economic growth and monetary policy variables in long-run and short-run.

Foreign Direct Investment and Growth Nexus: Further Evidence from Africa’s Largest Economy

2021 ◽  
Vol 13 (1) ◽  
pp. 65-78
Author(s):  
Anthony Orji ◽  
Godson Umunna Nwagu ◽  
Jonathan E. Ogbuabor ◽  
Onyinye I. Anthony-Orji
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Labour Force ◽  
Jel Classification ◽  
Least Square ◽  
Ordinary Least Square ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

The study investigated the effect of foreign direct investment (FDI) on economic growth in Nigeria, which is currently Africa’s largest economy, and also determined the long-run relationship between FDI and economic growth in Nigeria from 1981 to 2017. The study adopted the autoregressive distributed lag modelling approach and ordinary least square in the analysis. The empirical results revealed that FDI has a positive and significant relationship with economic growth in Nigeria within the period under review. The study concluded and recommended that Nigerian Government should formulate policies that will attract more FDI in all sectors of the economy especially in the service and manufacturing sectors, so as to improve the infrastructural facilities and production of goods in the country and also expand its labour force. Finally, there is need to improve the educational policy of the country in order to raise the stock of human capital in the country that will make useful policies for the attraction for productive FDIs in the country. JEL Classification: E22, F21, F23, F43

scholarly journals Energy Consumption and Economic Growth Nexus in China: Autoregressive Distributed Lag (ARDL)

2020 ◽  
Vol 10 (2) ◽  
pp. 194
Author(s):  
Wan-Lin Yong ◽  
Jerome Kueh ◽  
Yong Sze Wei ◽  
Jang-Haw Tiang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Sustainable Growth ◽  
Total Export ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

This paper intends to investigate the nexus between energy consumption, carbon dioxide emission, total export and economic growth of China from 1971 to 2014. This study adopted Autoregressive Distributed Lag (ARDL) bounds test to examine the existence of short-run and long-run relationships among the variables. Empirical findings indicated that energy consumption contribute to economic growth while carbon dioxide emission is impeding the growth. There is a positive long-run relationship between both energy consumption and total export with economic growth of China. However, a negative relationship is observed between carbon dioxide emissions and economic growth. Hence, in terms of policy recommendation, policymakers can implement a balance environment-economic policy; reduce the carbon dioxide emission by imposing carbon tax; promote renewable energy among the industries and households and promoting reserves forest policy is needed for aspiration of sustainable growth for both environmental and economic.

scholarly journals The Effect of Trade Openness on Carbon Dioxide Emission in Taiwan: A Quantile Mediation Analysis

2020 ◽  
Vol 16 ◽  
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Mediation Analysis ◽  
Trade Openness ◽  
Carbon Dioxide Emission ◽  
Point Of View ◽  
Least Square ◽  
Mediation Effect ◽  
Ordinary Least Square ◽  
The Impact

This paper adopts an innovative method, called a quantile mediation analysis, which combines a quantile regression and mediation analysis to examine the impact of trade openness on carbon dioxide emission whether through economic growth or not from 1990 to 2018 in Taiwan. The result of the traditional ordinary least square approach shows that Taiwan’s trade openness affects carbon dioxide emission through the full mediation effect of economic growth for the period of 1990-2018 and there is no direct relation between trade openness and carbon dioxide emission. Moreover, the results of this innovative analysis indicate that Taiwan’s trade openness also affects carbon dioxide emission through the full mediation effect of economic growth at any distribution of carbon dioxide emission, and there is no direct effect from trade openness to carbon dioxide emission. This result indicates that trade openness only exists an indirect effect through economic growth in Taiwan. This finding supports Antweiler, Copeland and Taylor’s point of view [1].

The Impact of EU Allowance Prices on the Stock Market Indices of the European Power Industries: Evidence From the Ongoing EU ETS Phase III

2020 ◽  
pp. 108602662092482
Author(s):  
Agustín García ◽  
María Teresa García-Álvarez ◽  
Blanca Moreno
Keyword(s):  
Carbon Dioxide ◽  
European Union ◽  
Panel Data ◽  
Carbon Dioxide Emission ◽  
Least Square ◽  
Phase Iii ◽  
Eu Ets ◽  
Power Sector ◽  
Ordinary Least Square ◽  
Long Run

The European Union Emissions Trading Scheme (EU ETS) was created in 2005 to price every ton of carbon dioxide emissions. Within this framework, EU carbon dioxide emission allowances can affect electric power industry stock performance. This article uses a multifactor market model and a panel data econometric technique to investigate the long-run impact of EU carbon dioxide emission allowances on the European power sector. We also use panel cointegration to check whether there is a long-run relationship, and fully modified ordinary least square and dynamic ordinary least square to estimate any such relationship. The panel data include a daily sample for the ongoing EU ETS Phase III (from 1 January 2013 until 22 April 2017) and data from six European Union members (Austria, France, Germany, Italy, Netherlands, and Spain). The estimated coefficients suggest that EU allowance prices have a statistically significant and positive long-run effect on the European power sector stock market in EU ETS Phase III. This potentially supports EU efforts to toughen carbon reduction regime targets in order to remove the surplus from the system.

scholarly journals THE IMPACT OF DEMOCRACY, CORRUPTION AND MILITARY EXPENDITURE ON ENVIRONMENTAL DEGRADATION: EVIDENCE FROM TOP SIX ASEAN COUNTRIES

2019 ◽  
Vol 7 (4) ◽  
pp. 333-340
Author(s):  
Gholamreza Zandi ◽  
Muhammad Haseeb ◽  
Irwan Shah Zainal Abidin
Keyword(s):  
Carbon Dioxide ◽  
Environmental Degradation ◽  
Carbon Dioxide Emission ◽  
Military Expenditure ◽  
Least Square ◽  
Ordinary Least Square ◽  
Asean Countries ◽  
Statistical Estimations ◽  
The Impact ◽  
The Relationship

Purpose of the study: The current study aims to examine the relationship between corruption, democracy, military expenditure and environmental degradation in a panel of six ASEAN countries including Malaysia, Indonesia, Philippines, Thailand, Singapore and Vietnam using a panel data from 1995 to 2017. Methodology: In addition, the current study is unique in applying the sophisticated methods of panel Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS) that have been adopted in several earlier quality research. Main Findings: The results of panel estimations conclude that corruption, military expenditure, and democracy have a noteworthy and significant impact on carbon dioxide emission in ASEAN countries. The results of FMOLS and DOLS confirm that there is a positive and significant impact of military expenditure and corruption on carbon dioxide emission. However, we found a negative and significant impact of democracy on carbon dioxide emission in all selected ASEAN countries. Implications: In general, the consequences of both statistical estimations affirm that corruption, democracy, and military expenditure are the critical and noteworthy determinants of carbon dioxide emission in ASEAN nations.

scholarly journals The Determinants of Tourist Expenditure Per Capita in Thailand: Potential Implications for Sustainable Tourism

2021 ◽  
Vol 13 (12) ◽  
pp. 6550
Author(s):  
Wanvilai Chulaphan ◽  
Jorge Fidel Barahona
Keyword(s):  
Natural Resources ◽  
Sustainable Tourism ◽  
Least Square ◽  
Mass Tourism ◽  
Tourist Destinations ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model ◽  
Per Capita

Tourism authorities in Thailand have consistently pursued profit-seeking mass tourism, resulting in the detriment of the natural resources in major tourist destinations. In response, sustainable tourism projects centered on preserving the environment have been established but neglect the financial needs of tour operators. The objective of this study was to investigate the determinants of tourist expenditure per capita in Thailand using a dataset consisting of 31 countries from 2010 to 2017. The analysis was based on an autoregressive distributed lag model (ARDL) and used a panel estimated generalized least square (ELGS). Generating such knowledge is essential for tourist authorities to develop profitable and sustainable tourism projects in tourist destinations whose natural resources have been affected by profit-seeking tourism. The tourism expenditure per capita is positively affected by word of mouth, income, and the rising prices in other major tourist destinations in Asia. However, it was negatively affected by relative levels of price and corruption. Sustainable tourism projects can be used to develop activities that will help distinguish Thailand from other tourism destinations in Asia. However, in implementing these sustainable tourism initiatives, the mark-up should be minimized to keep tourist prices in Thailand competitive.

scholarly journals The Role of Trade Liberalization in Carbon Dioxide Emission: Evidence From Heterogeneous Panel Estimations

2019 ◽  
Vol 10 (5) ◽  
pp. 228
Author(s):  
Gholamreza Zandi ◽  
Muhammad Haseeb
Keyword(s):  
Carbon Dioxide ◽  
Developing Countries ◽  
Renewable Energy ◽  
Trade Liberalization ◽  
Causal Relationship ◽  
Environmental Degradation ◽  
Carbon Dioxide Emission ◽  
Energy Utilization ◽  
Long Run ◽  
Heterogeneous Panel

In the present globalized world, production forms are progressively divided across nations. Consequently, domestic consumption in one nation is progressively fulfilled by worldwide supply chains. This spectacle has pulled policy and widespread intellectual discussions on the assignment of greenhouse gas (GHG) emanations, especially carbon dioxide (CO2) emission; these are accountabilities connected to global trade since worldwide trade causes net carbon dioxide emission. The aim of the present study is to examine the impact of trade liberalization on carbon dioxide emission. We used the panel data of 105 developed and developing countries from 1990 to 2017. The results of FMOLS and DOLS confirm that all variables are connected in the long-run period. The results of long run coefficient confirm that that the trade liberalization has a positive effect on environmental degradation and cause to increase environmental degradation. Likewise, economic growth and energy consumption has also a positive and significant impact on environmental degradation. However, we find an evidence of negative and significant impact of renewable energy utilization on environmental degradation. Finally, the results of heterogeneous panel causality confirm that there is a uni-directional causal relationship between trade liberalization and environmental degradation where causality is running from trade liberalization to environmental degradation. However, we find a bi-directional causal relationship of environmental degradation with energy utilization and renewable energy utilization in all selected developed and developing countries.

scholarly journals The Causal Connection between CO2 Emissions and Agricultural Productivity in Pakistan: Empirical Evidence from an Autoregressive Distributed Lag Bounds Testing Approach

2019 ◽  
Vol 9 (8) ◽  
pp. 1692 ◽  
Author(s):  
Abdul Rehman ◽  
Ilhan Ozturk ◽  
Deyuan Zhang
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Food Grains ◽  
Long Run ◽  
Total Food ◽  
Short Run ◽  
Seed Distribution

The rapid agricultural development and mechanization of agronomic diligence has led to a significant growth in energy consumption and CO2 emission. Agriculture has a dominant contribution to boosting the economy of any country. In this paper, we demonstrate carbon dioxide emissions’ association with cropped area, energy use, fertilizer offtake, gross domestic product per capita, improved seed distribution, total food grains and water availability in Pakistan for the period of 1987-2017. We employed Augmented Dickey-Fuller and Phillips-Perron unit root tests to examine the variables’ stationarity. An autoregressive distributed lag (ARDL) bounds testing technique to cointegration was applied to demonstrate the causality linkage among study variables from the evidence of long-run and short-run analyses. The long-run evidence reveals that cropped area, energy usage, fertilizer offtake, gross domestic product per capita and water availability have a positive and significant association with carbon dioxide emissions, while the analysis results of improved seed distribution and total food grains have a negative association with carbon dioxide emissions in Pakistan. Overall, the long-run effects are stronger than the short-run dynamics, in terms of the impact of explanatory variables on carbon dioxide emission, thus making the findings heterogeneous. Possible initiatives should be taken by the government of Pakistan to improve the agriculture sector and also introduce new policies to reduce the emissions of carbon dioxide.

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