scholarly journals Evolution of Carbon Shadow Prices in China’s Industrial Sector during 2003–2017: A By-Production Approach

2020 ◽  
Vol 12 (2) ◽  
pp. 722 ◽  
Author(s):  
Wenyin Cheng ◽  
Zhusong Yang ◽  
Xia Pan ◽  
Tomas Baležentis ◽  
Xueli Chen
Keyword(s):  
Carbon Emissions ◽  
Value Added ◽  
The United States ◽  
Industrial Sector ◽  
Policy Implications ◽  
Shadow Prices ◽  
Carbon Abatement ◽  
Dea Model ◽  
Industrial Carbon ◽  
Empirical Results

Global warming and the rapid growth of carbon emissions have attracted the attention of governments and academia throughout the world. In 2006, China surpassed the United States as the emitter of the greatest volume of carbon, the largest contribution of which is derived from China’s industrial sector. This study investigated the evolution of industrial carbon shadow prices (CSPs) in China at the provincial level to assess the opportunity costs in terms of value added foregone owing to decreasing carbon emissions. A dual formulation of the by-production data envelopment analysis (DEA) model was applied to estimate the industrial carbon abatement costs in China during 2003–2017. This study represents the first attempt to apply the dual by-production DEA model for this purpose. Empirical results showed that industrial CSP increased by 3.83% annually and that the average provincial CSP was approximately $562.43 USD/ton. A significant upturn in the CSP occurred after 2006. Furthermore, disparities of changes in industrial CSP over time were checked using the test of sigma convergence. Regional divergence was observed for the period 2011–2017. Policy implications were derived from the empirical results in terms of improvements regarding carbon abatement.

scholarly journals The Role of Technical Innovation and Development of Industrial Sector in Korean International Business

2021 ◽  
Vol 22 (1) ◽  
pp. 55-73
Author(s):  
Ali Mohammed Khalel Al-Shawaf ◽  
Tahira Yasmin
Keyword(s):  
Time Series Data ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Industrial Sector ◽  
Least Square ◽  
Policy Implications ◽  
Series Data ◽  
Significance Level

With the pace of development and competitiveness, innovation plays an important role to capture the market share. Various countries have effective strategies to enhance Research and Development (R&D) and exchange value added products in international market. So, based on this the aim of this research is to examine the role of R&D, industrial design and charges for intellectual property in innovative exports in South Korean economy. Time series data for the period 1998 to 2017, Ordinary Least Square (OLS) and Generalized Method of Moments (GMM) models are used to determine the dynamic interrelationship among the study variables. In summary, the overall results show that there is co-integration rank of in both trace test and value test at 1% significance level. Moreover, OLS and GMM findings depict that there is significant and positive coefficient for ID & RD which represent that they have positive impact on HT. Whereas, the IP displays a negative and significant relationship with high technology exports accordingly. Lastly, the diagnostic tests show that model is stable for the study time period and result is reliable. The current study also suggests some policy implications which can enhance innovative export products of South Korea while enhancing R&D.

Research on Influencing Mechanism of Industrial Carbon Emissions in Hebei Province

2012 ◽  
Vol 260-261 ◽  
pp. 1052-1056
Author(s):  
Wei Yang Yu ◽  
Hui Ning Zhao
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Value Added ◽  
Hebei Province ◽  
Added Value ◽  
Industrial Carbon ◽  
Decomposition Model ◽  
Influencing Mechanism ◽  
Index Decomposition ◽  
Main Factor

This paper calculates carbon emissions in Hebei Province based on energy consumption and carbon coefficients and adopts the index decomposition model to analyze the influence of value-added industries and carbon emissions per unit added value on carbon emissions.The results indicate that the increase of value-added industries in Hebei Province is the main factor affecting the growth of carbon emissions, but the decrease of carbon emissions per unit added value induces carbon emissions to a lesser reducing. The conclusions can offer the decision basis for reducing carbon emissions.

scholarly journals Adopting the Diversity Management Approach. Case of Slovakia

2021 ◽  
Vol 92 ◽  
pp. 02042
Author(s):  
Tomas Michalicka ◽  
Drahoslav Lancaric ◽  
Hana Zach
Keyword(s):  
Slovak Republic ◽  
Value Added ◽  
Diversity Management ◽  
The United States ◽  
Point Of View ◽  
Policy Implications ◽  
Management Approach ◽  
Legal Form ◽  
Business Organisation ◽  
Organizational Behaviour

Research background: Towards the end of the previous century the issue of management of diversity in organisations gained a prominent place in both academic and societal debates. For any multicultural country, such as the United States or Great Britain, the issue of diversity is not new. However, diversity has not been as frequently researched in the countries of the Visegrad region: the Slovak Republic, the Czech Republic, Poland and Hungary. Purpose of the article: Using the data about 278 business organizations in Slovakia, we focus on the background of the implementation of diversity management from the point of view of factors having a direct influence on this process. We evaluate the influence of the legal form (as an expression of the number of owners and the ability to quickly adopt a new concept) of the business organisation, the size (number of employees) of the business organisation, the share of the foreign capital in the ownership structure of the organisations, the sector of economy the organization operates in, its performance and the existence of HR unit in the organizational structure. Methods: To evaluate the influence of the selected factors linear modelling was used. Findings & Value added: The study theoretically contributes to human resource management, talent management and organizational behaviour theories, and offers several policy implications for decision makers. Specifically, it deals with the relationship between the implementation of the diversity management selected organizations` characteristics.

scholarly journals Study on Global Industrialization and Industry Emission to Achieve the 2 °C Goal Based on MESSAGE Model and LMDI Approach

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 825 ◽  
Author(s):  
Shining Zhang ◽  
Fang Yang ◽  
Changyi Liu ◽  
Xing Chen ◽  
Xin Tan ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Energy Supply ◽  
Industrial Sector ◽  
Carbon Intensity ◽  
Global Energy ◽  
Energy Supply System ◽  
Industrial Carbon ◽  
Global Energy Supply

The industrial sector dominates the global energy consumption and carbon emissions in end use sectors, and it faces challenges in emission reductions to reach the Paris Agreement goals. This paper analyzes and quantifies the relationship between industrialization, energy systems, and carbon emissions. Firstly, it forecasts the global and regional industrialization trends under Representative Concentration Pathway (RCP) and Shared Socioeconomic Pathway2 (SSP2) scenarios. Then, it projects the global and regional energy consumption that aligns with the industrialization trend, and optimizes the global energy supply system using the Model for Energy Supply Strategy Alternatives and their General Environmental Impact (MESSAGE) model for the industrial sector. Moreover, it develops an expanded Kaya identity to comprehensively investigate the drivers of industrial carbon emissions. In addition, it employs a Logarithmic Mean Divisia Index (LMDI) approach to track the historical contributions of various drivers of carbon emissions, as well as predictions into the future. This paper finds that economic development and population growth are the two largest drivers for historical industrial CO2 emissions, and that carbon intensity and industry energy intensity are the top two drivers for the decrease of future industrial CO2 emissions. Finally, it proposes three modes, i.e., clean supply, electrification, and energy efficiency for industrial emission reduction.

scholarly journals Opportunity Cost of Environmental Regulation in China’s Industrial Sector

2021 ◽  
Vol 18 (16) ◽  
pp. 8579
Author(s):  
Ye Wang ◽  
Yunguo Lu ◽  
Lin Zhang
Keyword(s):  
Environmental Regulation ◽  
Technical Change ◽  
Opportunity Cost ◽  
Negative Impact ◽  
Environmental Regulations ◽  
National Level ◽  
Industrial Sector ◽  
Policy Implications ◽  
Carbon Abatement ◽  
Positive Direct

In this paper, we employ a directional distance function to estimate the opportunity cost arising from environmental regulations in China’s industrial sector. The change of opportunity cost is decomposed mathematically into two components including technical change and input change. Our results show that the opportunity cost attributed to environmental regulation is nil in some regions. The change of opportunity cost is marginal at the national level, as the positive effect of technical change is canceled out by the negative impact of input change on opportunity cost. Built on our mathematical decomposition, we further estimate the effects of environmental regulations on opportunity cost using a mediation model. It shows that environmental regulation has a significantly positive direct effect and a significantly negative indirect effect through foreign direct investment on opportunity cost. Our findings suggest, firstly, that inward FDI in China’s industrial sector represents relatively dirty production technology; and, secondly, industrial production has transited towards a less carbon-intensive input mix. This paper, therefore, provides new insights for the recent dynamics of carbon abatement performance of China’s industrial sector with policy implications.

Pandemic outbreaks (COVID-19) and sectoral carbon emissions in the United States: A spillover effect evidence from Diebold and Yilmaz index

2020 ◽  
pp. 0958305X2097727
Author(s):  
Andrew Adewale Alola ◽  
Festus Victor Bekun
Keyword(s):  
United States ◽  
Carbon Emissions ◽  
Environmental Sustainability ◽  
Forecast Error ◽  
Spillover Effect ◽  
Error Variance ◽  
The United States ◽  
Industrial Sector ◽  
The Body ◽  
Transport Sector

This article extend the body of knowledge in the environmental sustainability literature by exploring the spillover effect across the United States’ carbon emissions from sectoral energy consumption: from the commercial sector (CEM), transport sector (TEM), industrial sector (IEM), residential sector (REM), electric power sector (EEM). From this perspective, this study accounted for world pandemic uncertainty index (WPU) in retrospect of global episodes (coronavirus pandemic), crude oil price (WTI), and disposable income per capita (DIC). To this end, the novel spillover methodology of Diebold and Yilmaz is employed in the context of the United State for the period January 1996-February 2020. Our Study shows that total spillover effect from the forecast error variance decomposition (FEVD) is 51.1%, while the rest 48.9% of the forecast variance is attributed to the idiosyncratic shocks. Furthermore, a significant contribution of 113.9% spillover effect from uncertainty due to pandemics to TME, IEM, REM, EEM, CEM, DIC, and WTI. Our study adds to the spillover index and computed the net spillover index between the outlined variables that shows the variance between the contribution of spillover to and from the spillover dynamics. Importantly, the study found that WTI, DIC, IEM, EEM, and CEM received a net spillover shock of 63.80%, 25.90%, 48.80%, 26.10%, and 53.3% from the total spillover index. However, WPU, TEM and REM are a net transmitter of spillover effect of 111.7%, 56.90%, and 48.50% respectively. These outcomes are instructive as decision-makers, stakeholders, and players in the energy sector and oil/energy market are required to pay more focus on sectors that are a net transmitter of spillover shocks such as the world pandemic uncertainty and as well those that are net receivers.

CO2 emissions converge in China and G7 countries? Further evidence from Fourier quantile unit root test

2019 ◽  
Vol 31 (2) ◽  
pp. 348-363 ◽  
Author(s):  
Cuihong Ye ◽  
Yiguo Chen ◽  
Roula Inglesi-Lotz ◽  
Tsangyao Chang
Keyword(s):  
Unit Root ◽  
Unit Root Test ◽  
The United States ◽  
Test Point ◽  
Policy Implications ◽  
Test Results ◽  
G7 Countries ◽  
Empirical Results ◽  
The United Kingdom ◽  
Per Capita

G7 countries and China are considered not only the biggest energy producers globally but also the largest CO2 emission groups of countries among the world. In this study, we apply the Fourier quantile unit root test to investigate whether CO2 emissions converge in China and G7 countries using per capita CO2 emissions data over 1950–2013. While traditional unit root test results indicate that per capita CO2 emissions do not converge among these G7 countries and China, empirical results from the Fourier quantile unit root test point out that the CO2 emissions did converge in Germany, Italy, and the United Kingdom. Although the results of this study do not find strong CO2 emission convergence in the other five countries (i.e., Canada, France, Japan, the United States, and China), the CO2 emissions did converge in certain quantiles for these five countries. Our empirical results have important policy implications for the governments of G7 countries and China to implement the effective energy policy to reduce the CO2 emissions.

CO2 Emissions and Economic Growth in Western China: An Empirical Analysis Based on Panel Data for Western Provinces

2012 ◽  
Vol 573-574 ◽  
pp. 690-695 ◽  
Author(s):  
Jin Rong Jiang ◽  
Shao Wei Chen ◽  
Pei Yu Ren
Keyword(s):  
Panel Data ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Policy Implications ◽  
Western China ◽  
Factors Affecting ◽  
Consumption Structure ◽  
Empirical Results ◽  
Negative Effect ◽  
Main Factors

This paper examines the factors that affect carbon emissions based on the panel data for 9 western provinces in China over the period 1990–2009. Our empirical results show that the output size, industrial structure and energy consumption structure are the main factors affecting carbon emissions, and the income level has a negative effect to carbon emissions. Some policy implications of the empirical results have finally been proposed

Development of Strength-Based Youth Mentoring: Historical And Theoretical Perspectives, Empirical Results, and Policy Implications

2011 ◽  
Author(s):  
R. Bruce Thompson ◽  
Maryann Corsello ◽  
Samuel McReynolds ◽  
Bernice Conklin-Powers ◽  
Brittany Morley
Keyword(s):  
Policy Implications ◽  
Youth Mentoring ◽  
Empirical Results ◽  
Theoretical Perspectives ◽  
Strength Based
Sign in / Sign up

Export Citation Format

Share Document