scholarly journals Does Industrial Transfer Change the Spatial Structure of CO2 Emissions?—Evidence from Beijing-Tianjin-Hebei Region in China

2021 ◽  
Vol 19 (1) ◽  
pp. 322
Author(s):  
Jiachen Yue ◽  
Huasheng Zhu ◽  
Fei Yao
Keyword(s):  
Co2 Emissions ◽  
Emission Reduction ◽  
Positive Impact ◽  
Effective Means ◽  
Low Carbon ◽  
Coordinated Development ◽  
Industrial Transfer ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts ◽  
Bth Region

As an important cause of global warming, CO2 emissions have become a research hotspot in recent years. Industrial transfer impacts regional CO2 emissions and is related to the low-carbon development of regional industries. Taking the Beijing-Tianjin-Hebei region (BTH region) as an example, this study analysed industrial transfer’s direct and indirect impacts on CO2 emissions based on a mediating model and two-way fixed effect panel regression. The results obtained indicate that industrial transfer-in has promoted CO2 emissions to a small extent, and the positive impact of industrial transfer-in on CO2 emissions wanes over time. Industrial transfer affects CO2 emissions by acting on the economic level, on population size, and on urbanisation level, but the indirect effect is weaker than the direct effect. Industrial transfer does not lead to technological upgrading, but the latter is an effective means of carbon emission reduction. Industrial transfer-in has shown a positive effect on CO2 emissions for most cities, but there are exceptions, such as Cangzhou. In the future, the BTH region should maintain coordinated development among cities and improve the cooperative innovation mechanism for energy conservation and emission reduction.

scholarly journals Pulp and Paper Industry: Decarbonisation Technology Assessment to Reach CO2 Neutral Emissions—An Austrian Case Study

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1161
Author(s):  
Maedeh Rahnama Mobarakeh ◽  
Miguel Santos Silva ◽  
Thomas Kienberger
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Manufacturing Industry ◽  
Paper Industry ◽  
Heat Pumps ◽  
Pulp And Paper ◽  
Low Carbon ◽  
Co2 Emission Reduction

The pulp and paper (P&P) sector is a dynamic manufacturing industry and plays an essential role in the Austrian economy. However, the sector, which consumes about 20 TWh of final energy, is responsible for 7% of Austria’s industrial CO2 emissions. This study, intending to assess the potential for improving energy efficiency and reducing emissions in the Austrian context in the P&P sector, uses a bottom-up approach model. The model is applied to analyze the energy consumption (heat and electricity) and CO2 emissions in the main processes, related to the P&P production from virgin or recycled fibers. Afterward, technological options to reduce energy consumption and fossil CO2 emissions for P&P production are investigated, and various low-carbon technologies are applied to the model. For each of the selected technologies, the potential of emission reduction and energy savings up to 2050 is estimated. Finally, a series of low-carbon technology-based scenarios are developed and evaluated. These scenarios’ content is based on the improvement potential associated with the various processes of different paper grades. The results reveal that the investigated technologies applied in the production process (chemical pulping and paper drying) have a minor impact on CO2 emission reduction (maximum 10% due to applying an impulse dryer). In contrast, steam supply electrification, by replacing fossil fuel boilers with direct heat supply (such as commercial electric boilers or heat pumps), enables reducing emissions by up to 75%. This means that the goal of 100% CO2 emission reduction by 2050 cannot be reached with one method alone. Consequently, a combination of technologies, particularly with the electrification of the steam supply, along with the use of carbon-free electricity generated by renewable energy, appears to be essential.

scholarly journals A Calculation Model for CO2 Emission Reduction of Energy Internet: A Case Study of Yanqing

2019 ◽  
Vol 11 (9) ◽  
pp. 2502 ◽  
Author(s):  
Shuxia Yang ◽  
Di Zhang ◽  
Dongyan Li
Keyword(s):  
Co2 Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Energy System ◽  
Calculation Model ◽  
Emissions Reduction ◽  
Low Carbon ◽  
Co2 Emission Reduction ◽  
Energy Internet ◽  
Carbon Emission Reduction

This paper takes the regional energy internet as the research object, and combines the power system, primary energy system, transportation system, and thermal energy system to give the system boundary. First, the mathematical decomposition method and the logical integration method were combined to decompose the total low-carbon capability into seven single low-carbon capabilities. On the basis of the mechanism of carbon emission reduction, a comprehensive calculation model for CO2 emissions reduction of the energy internet was then established. Finally, taking the Yanqing Energy Internet Demonstration Zone in China as an example, it was calculated that the model could reduce CO2 emissions by 14,093.19 tons in 2025. The results show that the methods adopted in this paper avoided the overlap calculation reasonably well; the comprehensive calculation model of CO2 emissions reduction has strong versatility, and can quantitatively calculate the carbon emission reduction amount for any completed or planned energy internet. Among the seven low-carbon capabilities, “replacement of gasoline with electricity” had the highest contribution rate, with a value of 42.62%, followed by “renewable energy substitution” (37.13%). The innovations in this paper include: (1) The problem of reasonable splitting of the overlapping parts in carbon emission reduction calculations being solved. (2) The first comprehensive calculation model of CO2 emission reduction on the energy internet being established. (3) The contribution of the seven low-carbon capabilities of the energy internet to total emissions reduction being clarified.

scholarly journals Divergent Leading Factors in Energy-Related CO2 Emissions Change Among Subregions of the Beijing–Tianjin–Hebei Area from 2006 to 2016: An Extended LMDI Analysis

2019 ◽  
Vol 11 (18) ◽  
pp. 4929 ◽  
Author(s):  
Zou ◽  
Tang ◽  
Wu
Keyword(s):  
Co2 Emissions ◽  
Industrial Structure ◽  
Driving Forces ◽  
Low Carbon ◽  
Logarithmic Mean ◽  
Index Method ◽  
Positive Effects ◽  
Energy Demands ◽  
Rapid Economic Growth ◽  
Bth Region

In recent decades, the Beijing–Tianjin–Hebei (BTH) region has experienced rapid economic growth accompanied by increasing energy demands and CO2 emissions. Understanding the driving forces of CO2 emissions is necessary to develop effective policies for low-carbon economic development. However, because of differences in the socioeconomic systems within the BTH region, it is important to investigate the differences in the driving factors of CO2 emissions between Beijing, Tianjin, and Hebei. In this paper, we calculated the energy-related industrial CO2 emissions (EICE) in Beijing, Tianjin, and Hebei from 2006 to 2016. We then applied an extended LMDI (logarithmic mean Divisia index) method to determine the driving forces of EICE during different time periods and in different subregions within the BTH region. The results show that EICE increased and then decreased from 2006 to 2016 in the BTH region. In all subregions, energy intensity, industrial structure, and research and development (R&D) efficiency effect negatively affected EICE, whereas gross domestic product per capita effect and population had positive effects on EICE. However, R&D intensity and investment intensity had opposite effects in some parts of the BTH region; the effect of R&D intensity on EICE was positive in Beijing and Tianjin but negative in Hebei, while the effect of investment intensity was negative in Beijing but positive in Tianjin and Hebei. The findings of this study can contribute to the development of policies to reduce EICE in the BTH region.

scholarly journals Carbon Tax, Subsidy, and Emission Reduction: Analysis Based on DSGE Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Haoran Li ◽  
Wei Peng
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Tax ◽  
Positive Impact ◽  
Coordinated Development ◽  
Carbon Emission Reduction ◽  
Dynamic Stochastic ◽  
The Government ◽  
Application Fields ◽  
The Impact

Carbon emission has negative externalities, which will cause severe natural and social problems. In recent years, more and more attention has been paid to carbon emission reduction issue both in academic and application fields. This paper aims to explore the impact of punitive carbon tax and incentive carbon emission reduction subsidy on economy and environment through the dynamic stochastic general equilibrium (DSGE) framework. The results show that both carbon tax and carbon emission reduction subsidy policies can help to reduce carbon emissions and to improve environment quality. In addition, carbon emission reduction subsidy has a positive impact on economy, while carbon tax has the opposite impact. It follows that the incentive carbon emission reduction policy is more conducive to the coordinated development of economy and environment. This research can be a guideline for the government to formulate carbon emission abatement policies from the perspective of coordinated development.

scholarly journals COVID-19 experience among slum dwellers in Nairobi: A double tragedy or useful lesson for public health reforms?

2020 ◽  
Vol 63 (6) ◽  
pp. 838-841 ◽  
Author(s):  
Israel Nyaburi Nyadera ◽  
Francis Onditi
Keyword(s):  
Positive Impact ◽  
Informal Settlements ◽  
Government Policies ◽  
Slum Dwellers ◽  
The World ◽  
Crisis Support ◽  
Negative Impacts ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts ◽  
The City

The COVID-19 pandemic has altered the socio-economic and health dimensions of many societies across the world. For those in urban informal settlements, direct and indirect negative impacts of the pandemic and the resulting government policies have had devastating consequences on their livelihood. As the virus continues to spread rapidly, the more popular measures such as curfews, lockdown, and working from home have overlooked the fate of slum dwellers, who are left to choose between life and livelihood. This article examines the unique challenges people in informal settlements are facing during the pandemic. It focuses on the city of Nairobi, which has several informal settlements where more than 4 million people reside. The authors note that a combination of systematic marginalization, poor policies, and inadequate planning has left millions of people in Nairobi vulnerable to the direct and indirect impacts of the COVID-19 pandemic. The article concludes that as the virus continues to spread rapidly and the emerging socio-economic challenges undermine government’s capacity to respond to the crisis, support from other stakeholders such as social workers may have a positive impact.

scholarly journals Measuring the Renewable Energy Efficiency at the European Union Level and Its Impact on CO2 Emissions

Processes ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 923 ◽  
Author(s):  
Mihail Busu
Keyword(s):  
European Union ◽  
Renewable Energy ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Fixed Effects ◽  
Positive Impact ◽  
Low Carbon ◽  
The European Union ◽  
Multilinear Regression ◽  
The Impact

Low carbon emissions have a great importance in our life. The increasing importance of carbon emission levels have attracted the interests of researchers and academics in the field. In this article, a panel data econometric model is developed to measure the relationship between renewable energy, energy productivity, population, urbanization, motorization, and Gross Domestic Product (GDP) per capita and their impacts on carbon dioxide CO2 emissions. Data used in this study was collected from the European Statistical Office (EUROSTAT) and five statistical hypotheses were tested and validated through a multilinear regression model using the Econometric Views (Eviews) 10.0 statistical software. The Hausman test was used to choose between a model with fixed effects and a model with random effects, and the variance inflection factor (VIF) was used to test the collinearity between the independent variables. The author’s findings indicate that renewable energy at the European Union (EU) level has a positive impact on low-carbon emissions. It was found that a 1% increase in renewable energy consumption would reduce the CO2 emissions by 0.11 million tons, while population growth and urbanization degree add more restrictions to the econometric equation of the impact on carbon emissions.

scholarly journals Architectural firms: workforce, business strategy and performance

2011 ◽  
Vol 11 (4) ◽  
pp. 21-44 ◽  
Author(s):  
Adedapo Adewunmi Oluwatayo ◽  
Dolapo Amole
Keyword(s):  
Business Strategy ◽  
Positive Impact ◽  
Professional Service ◽  
Hierarchical Regression ◽  
Direct And Indirect Impacts ◽  
And Performance ◽  
Indirect Impacts ◽  
Work Structure ◽  
The Impact ◽  
Architectural Firms

The intent of this research was to investigate the relationship between the workforce, business strategy and performance of architectural firms. Data was collected from 92 firms randomly selected from the cities where architectural firms were most concentrated in Nigeria using questionnaires. Hierarchical regression analysis was carried out to investigate the direct and indirect impacts of the workforce of architectural firms on their performance. The findings confirm the significant positive impact. With business strategy controlled, the specific characteristics of the workforce and its management which influenced performance were the number of architects, the work structure, and the age and experience of the principal partners. The impact of the number of non- architecture professionals and staff participation in decision-making on performance was moderated by the business strategy adopted by the firms. The results suggest that workforce characteristics are more important than the management of the workforce in determining performance of architectural firms. This is contrary to the results of previous studies which suggest higher importance of the management. This probably indicates the peculiarity of architectural firm as a professional service firm in the construction industry.

scholarly journals THE IMPACT OF THE QUALITY OF INTRINSIC AND EXTRINSIC ATTRIBUTES IN CREATING LOYALTY AND PURCHASE INTENTION

2016 ◽  
Vol 15 (2) ◽  
Author(s):  
Albari . ◽  
Sofian Dewi
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Positive Impact ◽  
Sampling Technique ◽  
Restaurant Industry ◽  
Equation Modeling ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts ◽  
Two Stages ◽  
The Impact

A business organization should always strive to maintain its sustainability by creating loyalty and purchase intention towards its products. The activity is specifically required for an organization engaged in the restaurant industry. The organization needs to be aware of which product attributes are in concern to the customers when purchasing the food in a restaurant. This research was intended to measure the importance of the quality from intrinsic and extrinsic attributes of a product for the customers and its impact on the customers’ loyalty and purchase intention. The research was conducted by involving the customers of a pizza product in Yogyakarta. 116 respondents were selected using convenience sampling technique. Meanwhile, the data being obtained were analyzed by using structural equation modeling (SEM) approach and data processing program named AMOS 20.0 after going through two stages of testing, namely data validity and data reliability tests. The results showed that the intrinsic attributes quality has a direct and positive impact on the customer’s purchase intention, but there is no impact  on their loyalty. On the other hand, the extrinsic attributes quality has both direct and indirect impacts on the purchase intention through the loyalty mediator variable. The results also demonstrated the dominance of the importance of loyalty in the research model. This was indicated by the significance of direct impact or predictive total impact of loyalty towards purchase intention as compared to the impact of intrinsic and extrinsic attributes quality.

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