scholarly journals The Impact of China 's Economic Growth on Carbon Emission Based on Gray Relational Analysis

2017 ◽  
Author(s):  
Jianna Zhao ◽  
Fengyi Zhao
Keyword(s):  
Economic Growth ◽  
Carbon Emission ◽  
Gray Relational Analysis ◽  
Relational Analysis ◽  
The Impact

The Impact Factors Analysis of the Continuous Safety of the Yangtze River Shipping

2013 ◽  
Vol 655-657 ◽  
pp. 2279-2283
Author(s):  
Lu Wang ◽  
Qing Liu ◽  
Kai Jin Xu ◽  
Xiao Li Xu
Keyword(s):  
Continuous Improvement ◽  
Yangtze River ◽  
Safety Management ◽  
Gray Relational Analysis ◽  
Impact Factors ◽  
The Yangtze River ◽  
Safety Standards ◽  
Relational Analysis ◽  
Factors Analysis ◽  
The Impact

This paper aims to analyze factors affect the continuous safety of the Yangtze River shipping, it studied the connotation and feature of continuous safety, and based on which selecting safety input, human behavior, safety management, safety state, safety culture as the main impact aspects, using the gray relational analysis to extract the key impact factors belong to the abovementioned five aspects. The result shows that safety management, safety input and safety state have bigger impact on sustainable safety state and continuous improvement of system safety standards.

scholarly journals Technology Innovation, Economic Growth and Carbon Emissions in the Context of Carbon Neutrality: Evidence from BRICS

2021 ◽  
Vol 13 (20) ◽  
pp. 11138
Author(s):  
Huan Zhang
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Test Results ◽  
Stirpat Model ◽  
Causality Test ◽  
Carbon Neutrality ◽  
Brics Countries ◽  
The Impact

This study selects the panel data of five BRICS nations (Brazil, Russia, India, China, South Africa) from 1990 to 2019 to empirically explore the impact of technological innovation and economic growth on carbon emissions under the context of carbon neutrality. Granger causality test results signify that there exists a one-way causality from technology patent to carbon emission and from economic growth to carbon emission. We also constructed an improved Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. The regression results manifest that technology patents contribute to the realization of carbon emission reduction and carbon neutralization, while the economic growth of emerging economies represented by BRICS countries significantly improves carbon emissions, but every single BRICS country shows differentiated carbon emissions conditions with their economic development stages. The impact of the interaction term on carbon emissions for the five BRICS countries also presents country-specific heterogeneity. Moreover, the Environmental Kuznets Curve (EKC) test results show that only Russia and South Africa have an inverted U-shaped curve relationship between economic growth and carbon emissions, whereas Brazil, India and China have a U-shaped curve relationship. There exists no EKC relationship when considering BRICS nations as a whole. Further robustness tests also verify that the conclusions obtained in this paper are consistent and stable. Finally, the paper puts forward relevant policy suggestions based on the research findings.

Enhancing rating prediction for recommendation by metric learning with gray relational analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiangmei Chen ◽  
Wende Zhang ◽  
Qishan Zhang
Keyword(s):  
Metric Learning ◽  
Prediction Algorithm ◽  
Gray Relational Analysis ◽  
Rating Data ◽  
Data Sparsity ◽  
Content Type ◽  
Relational Analysis ◽  
Rating Prediction ◽  
Real World Datasets ◽  
The Impact

PurposeThe purpose of the paper is to improve the rating prediction accuracy in recommender systems (RSs) by metric learning (ML) method. The similarity metric of user and item is calculated with gray relational analysis.Design/methodology/approachFirst, the potential features of users and items are captured by exploiting ML, such that the rating prediction can be performed. In metric space, the user and item positions can be learned by training their embedding vectors. Second, instead of the traditional distance measurements, the gray relational analysis is employed in the evaluation of the position similarity between user and item, because the latter can reduce the impact of data sparsity and further explore the rating data correlation. On the basis of the above improvements, a new rating prediction algorithm is proposed. Experiments are implemented to validate the effectiveness of the algorithm.FindingsThe novel algorithm is evaluated by the extensive experiments on two real-world datasets. Experimental results demonstrate that the proposed model achieves remarkable performance on the rating prediction task.Practical implicationsThe rating prediction algorithm is adopted to predict the users' preference, and then, it provides personalized recommendations for users. In fact, this method can expand to the field of classification and provide potentials for this domain.Originality/valueThe algorithm can uncover the finer grained preference by ML. Furthermore, the similarity can be measured using gray relational analysis, which can mitigate the limitation of data sparsity.

scholarly journals Grey Relational Analysis of Carbon Emission and Energy Consumption from the Perspective of Economic Growth in Guangdong Province

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Jianxiang Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Grey Relational Analysis ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Guangdong Province ◽  
Coal Consumption ◽  
Relational Analysis ◽  
Grey Relational

The relationship among economy, energy and carbon emission in Guangdong province is analyzed by using grey relational analysis method. Studies show that coal consumption is the main reason for the increase in carbon dioxide emissions in Guangdong province after its rapid economic growth. Therefore, to slow down the carbon dioxide emissions in Guangdong province, the first step is to improve the energy consumption structure. 

scholarly journals Environmental Impact of Economic Growth and Fuel Subsidy in Nigeria

2021 ◽  
Vol 2021 (1) ◽  
pp. 21-30
Author(s):  
Olawunmi Omitogun ◽  
Adedayo Emmanuel Longe ◽  
Shehu Muhammad ◽  
Idowu Jacob Adekomi
Keyword(s):  
Economic Growth ◽  
Government Policy ◽  
Carbon Emission ◽  
Correction Model ◽  
Independent Variables ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact

The study investigates the impact of economic growth and fuel subsidy on the environment of Nigeria from the year 1985-2018. We used Auto-regressive Distributed Lag (ARDL) to analyse the data employed in this study. From our findings, it was revealed that output per head had a positive and significant impact on carbon emission both in the long-run and short-run, while subsidy which explains government policy also had a negative and significant impact on carbon emission both in the short-run and long-run. The Error Correction Model (ECM) showed that 96% of shocks in the response variable are corrected in the long-run by the independent variables. It was concluded that increasing output in the economy increases the amount of carbon emission in the economy while removal of fuel subsidy reduces the amount of carbon emission in the economy. Therefore, effective policies should be implemented towards reducing carbon emission without hampering the growth of the economy.

scholarly journals Mitigating Environmental Degradation With Institutional Quality and Foreign Direct Investment (FDI): New Evidence From Asymmetric Approach

2021 ◽  
Author(s):  
Edmund Ntom Udemba
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Direct Investment ◽  
Carbon Emission ◽  
Fossil Fuels ◽  
Negative Impact ◽  
Institutional Quality ◽  
Renewable Energy Consumption ◽  
The Impact

Abstract Chile is currently rated among the performing countries towards the achievement of the global goals of reducing carbon emission. It is on recorded that Chile as a country has moved from highly insufficient to insufficient and still working towards conforming to the recommend the region of 20C in quest of controlling climate change through carbon emission reduction. From this development, it is essential to investigate on the country’s strategies in achieving this success and equally make recommendation for other countries to adopt Chile’s strategy as a blue print in controlling carbon emission. To effectively do this and achieve the objective of this study, I adopt nonlinear and asymmetric approaches to have a combine (positive and negative) view of the reactions of the selected variable towards determining the impact of each variable towards curbing emission in Chile. Also, a careful selection of variable which includes economic growth (GDP per capita-Y), institutional quality, foreign direct investment (FDI), fossil fuels and renewable energy consumption was undertaken in this study. The focus was on the interaction of institutional quality and FDI towards ascertainment of environment performance. Chile’s quarterly data of 1996Q1 to 2018Q4 was utilized and the following findings were made: positive and negative shocks to the economic growth, institutional quality and renewable energy impacted favorably and negatively on Chile’s environment through reduction and promotion of emission respectively. In contrast, positive and negative shocks to FDI and fossil fuels impact both negatively on the Chile’s environment through increase in carbon emission. So institutional quality is vital in controlling the negative impact from FDI and fossil fuels.

scholarly journals The impact of low-carbon emission reduction policies on economic growth

2021 ◽  
Vol 275 ◽  
pp. 02037
Author(s):  
Yuqi Sheng
Keyword(s):  
Economic Growth ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Significant Negative Correlation ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
Low Carbon Economy ◽  
Carbon Neutrality ◽  
Consuming Country ◽  
The Impact

As the development of a green and low-carbon economy has received great attention from governments around the world, carbon peaking and carbon neutrality have become important issues raised by China. As a major energy consuming country, government has actively formulated and implemented various carbon emission reduction policies in order to curb carbon emissions. Whether these policies achieve economic growth in the process of energy conservation and emission reduction, and promote China’s green and low-carbon development transition is the focus of this paper. This paper selects data from 30 provinces in China from 2010 to 2019, establishes a model, and empirically analysis the impact of carbon emission reduction policy tools on economic growth. The results show that there is a significant negative correlation between mandatory carbon emission reduction policies and economic growth, while market-based carbon emission reduction policies enhance the economic strength of the region. In addition, this paper empirically tests that after the establishment of the carbon market in 2013, market-based carbon emission reduction policies have significantly promoted economic growth, and the impact of carbon emission reduction policies on economic growth have regional heterogeneity.

scholarly journals Watershed Drought and Ecosystem Services: Spatiotemporal Characteristics and Gray Relational Analysis

2021 ◽  
Vol 10 (2) ◽  
pp. 43
Author(s):  
Jizhou Bai ◽  
Zixiang Zhou ◽  
Yufeng Zou ◽  
Bakhtiyor Pulatov ◽  
Kadambot H. M. Siddique
Keyword(s):  
Ecosystem Services ◽  
Soil Erosion ◽  
Vegetation Cover ◽  
Soil Conservation ◽  
Swat Model ◽  
Vegetation Restoration ◽  
Gray Relational Analysis ◽  
Relational Analysis ◽  
Spatiotemporal Characteristics ◽  
The Impact

This study explored the spatiotemporal characteristics of drought and ecosystem services (using soil conservation services as an example) in the YanHe Watershed, which is a typical water basin in the Loess Plateau of China, experiencing soil erosion. Herein, soil conservation was simulated using the Soil and Water Assessment Tool (SWAT), and the relationship between drought, soil conservation services, and meteorological, vegetation, and other factors since the implementation of the ‘Grain for Green’ Project (GFGP) in 1999, were analyzed using the gray relational analysis (GRA) method. The results showed that: (1) The vegetation cover of the Watershed has increased significantly, and evapotranspiration (ET) increased by 14.35 mm·a−1, thereby increasing water consumption by 8.997 × 108 m3·a−1 (compared to 2000). (2) Drought affected 63.86% of the watershed area, gradually worsening from south to north; it decreased in certain middle areas but increased in the humid areas on the southern edge. (3) The watershed soil conservation services, measured by the soil conservation modulus (SCM), increased steadily from 116.87 t·ha−1·a−1 in 2000 to 412.58 t·ha−1·a−1 in 2015, at a multi-year average of 235.69 t·ha−1·a−1, and indicated great spatial variations, with a large variation in the downstream and small variations in the upstream and midstream areas. (4) Integrating normalized difference vegetation index (NDVI) data into SWAT model improved the model simulation accuracy; during the calibration period, the coefficient of determination (R2) increased from 0.63 to 0.76 and Nash–Sutcliffe efficiency (NSE) from 0.46 to 0.51; and during the validation period, the R2 increased from 0.82 to 0.93 and the NSE from 0.57 to 0.61. (5) The GRA can be applied to gray control systems, such as the ecosystem; herein, vegetation cover and drought primarily affected ET and soil conservation services. The analysis results showed that vegetation restoration enhanced the soil conservation services, but increased ET and aggravated drought to a certain extent. This study analyzed the spatiotemporal variations in vegetation coverage and the response of ET to vegetation restoration in the YanHe Watershed, to verify the significant role of vegetation restoration in restraining soil erosion and evaluate the extent of water resource consumption due to ET in the semi-arid and semi-humid Loess-area basin during the GFGP period. Thus, this approach may effectively provide a scientific basis for evaluating the ecological effects of the GFGP and formulating policies to identify the impact of human ecological restoration on ecosystem services.

The Effect of Economic Growth, Foreign Direct Investment, and Energy Use on Environment Degradation: Evidenced from ASEAN Nations

2021 ◽  
Vol 9 (2) ◽  
pp. 114-124
Author(s):  
Baserat Sultana ◽  
Syeda Nida Raza ◽  
Kinza Rana ◽  
Aaqib Qayyum
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Carbon Emission ◽  
Energy Use ◽  
Chi Square ◽  
Positive Effects ◽  
The Impact ◽  
Environment Degradation

Literature evidenced that environmental degradation creates hurdles in economic development. So, this study highlights the leading macroeconomic indicators which affect the environment and investigates the nexus among FDI, energy utilization, economic development, and environmental pollution for ASEAN nations from 1990 to 2018. Panel Autor Regressive Distributive lag (ARDL) methodology is used to examine the impact of economic growth, foreign direct investment and energy use on environment degradation. Different panel unit roots (Im, Pesaran and Shin W-stat, Levin, Lin & Chu, ADF - Fisher Chi-square, PP - Fisher Chi-square) tests are applied to confirm the intergradation order, and results confirm that there exits I (0) and I(1) order of intergradation. There exists a unidirectional relationship between energy consumption and carbon emission of CO2 and CO2 to foreign direct investment in the long run. While in the short run, there does not exist any relationship. The results confirm the existence EKC hypothesis, which confirms there exits negative and positive effects of GDP and square of GDP on carbon emission. Hence this study concludes that its essential to develop some strategies and policies to guarantee economic stability. Additionally, reliable and sustainable power resources should be used for positive environmental changes. The carbon dioxide emission should be reduced for the GDP growth by utilizing different eco-technologies and renewable energy resources, which can nullify the effect of emission of CO2 to maintain the greenhouse environment.

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