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Where is the future of China's biogas? Review, forecast,and policy implications

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Petroleum Science 2016年第3期13卷 604-624页

作者： Lei Gu Yi-Xin Zhang Jian-Zhou Wang Gina Chen Hugh Battye College of Earth and environmental sciences Lanzhou University school of Mathematics and Statistics Lanzhou University school of Statistics Dongbei University of Finance and Economics school of Law Northwestern University school of History and Culture Lanzhou University department of economics The London School of Economics and Political Science

This paper discusses the history and present status of different categories of biogas production in China,most of which are classified into rural household production,agriculture-based engineering production,and industry-based engineering *** evaluate the future biogas production of China,five models including the Hubbert model,the Weibull model,the generalized Weng model,the H-C-Z model,and the Grey model are applied to analyze and forecast the biogas production of each province and the entire *** is proved that those models which originated from oil research can also be applied to other energy *** simulation results reveal that China＇s total biogas production is unlikely to keep on a fast-growing trend in the next few years,mainly due to a recent decrease in rural household production,and this greatly differs from the previous goal set by the official *** addition,China＇s biogas production will present a more uneven pattern among regions in the *** paper will give preliminary explanation for the regional difference of the three biogas sectors and propose some recommendations for instituting corresponding policies and strategies to promote the development of the biogas industry in China.

关键词： Biogas production China Temporal–spatial Forecast policy

Role of knowledge economy in managing demand-based environmental Kuznets Curve

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Geoscience Frontiers 2024年第4期15卷 397-410页

作者： Rukhsana Kalim Shajara Ul-Durar Mubasher Iqbal Noman Arshed Muhammad Shahbaz department of economics and Statistics Dr.Hassan Murad School of ManagementUniversity of Management and TechnologyLahorePakistan University of Sunderland The School of Business ManagementEdinburgh BuildingChester RoadSunderland SR13SDUnited Kingdom department of economics Division of Management and Administrative SciencesUniversity of EducationLahorePakistan department of International Trade and Finance School of Management and EconomicsBeijing Institute of TechnologyBeijingChina Center for Sustainable Energy and Economic Development Gulf University for Science and TechnologyHawallyKuwait

Aggregate demand or supply at equilibrium is commonly used as a representative of the macroeconomic activity of an economy whereby aggregate demand denotes the behaviour of individuals and ***,aggregate demand can also directly affect environmental deterioration via changes in aggregate *** study tried to explore this relationship,known as the demand-based environmental Kuznets Curve(Demand EKC)and the role of different knowledge economy *** economy indicators are proposed to influence consumption patterns,altering the demand EKC that empirical studies have *** this purpose,secondary data for 147 countries were collected from 2008 to 2018,also classified as *** study found that aggregate demand significantly affects carbon *** long-run results are estimated using the Fully Modified Ordinary Least Square *** factors like renewable energy consumption,population density,and financial development significantly affect carbon emissions in sample *** study has incorporated four pillars of a knowledge-based economy and the results showed that these indicators helped reduce consumption-related CO_(2) emissions.

关键词： Kuznets Curve Knowledge economy Higher education Institutional quality Innovation Technology

Prediction of COVID-19 Cases Using Machine Learning for Effective Public Health Management

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Computers, Materials & Continua 2021年第3期66卷 2265-2282页

作者： Fahad Ahmad Saleh N.Almuayqil Mamoona Humayun Shahid Naseem Wasim Ahmad Khan Kashaf Junaid department of Computer sciences Kinnaird College for WomenLahore54000Pakistan department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaAljouf72341Saudi Arabia Division of Computer Science&Information Technology University of EducationLahore54000Pakistan school of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan department of Clinical Laboratory sciences College of Applied Medical SciencesJouf UniversitySakakaAljouf72341Saudi Arabia

COVID-19 is a pandemic that has affected nearly every country in the *** present,sustainable development in the area of public health is considered vital to securing a promising and prosperous future for ***,widespread diseases,such as COVID-19,create numerous challenges to this goal,and some of those challenges are not yet *** this study,a Shallow Single-Layer Perceptron Neural Network(SSLPNN)and Gaussian Process Regression(GPR)model were used for the classification and prediction of confirmed COVID-19 cases in five geographically distributed regions of Asia with diverse settings and environmental conditions:namely,China,South Korea,Japan,Saudi Arabia,and *** environmental and non-environmental features were taken as the input dataset,and confirmed COVID-19 cases were taken as the output dataset.A correlation analysis was done to identify patterns in the cases related to fluctuations in the associated *** results of this study established that the population and air quality index of a region had a statistically significant influence on the ***,age and the human development index had a negative influence on the *** proposed SSLPNN-based classification model performed well when predicting the classes of confirmed *** training,the binary classification model was highly accurate,with a Root Mean Square Error(RMSE)of ***,the results of the regression analysis using the GPR technique with Matern 5/2 were highly accurate(RMSE=0.95239)when predicting the number of confirmed COVID-19 cases in an ***,dynamic management has occupied a core place in studies on the sustainable development of public health but dynamic management depends on proactive strategies based on statistically verified approaches,like Artificial Intelligence(AI).In this study,an SSLPNN model has been trained to fit public health associated data into an appropriate class,allowing GPR to predict the number of confir

关键词： Public health sustainable development artificial intelligence SARSCoV-2 shallow single-layer perceptron neural network binary classification gaussian process regression

Driving factors of carbon dioxide emissions in China： an empirical study using 2006-2010 provincial data

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Frontiers of Earth Science 2017年第1期11卷 156-161页

作者： Yu LIU Zhan-Ming CHEN Hongwei XIAO Wei YANG Danhe LIU Bin CHEN Institute of policy and Management Chinese Academy of Sciences Beijing 100190 China department of Energy economics School of Economics Renmin University of China Beijing 100872 China National Academy of Development and Strategy Renmin University of China Beijing 100872 China Economic Forecasting department State Information Center Beijing 100045 China school of economics and Management Beijing University of Chemical Technology Beijing 100029 China school of Humanities and Social Science Beijing Institute of Technology Beijing 100081 China State Key Joint Laboratory of environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China

The rapid urbanization of China has increased pressure on its environmental and ecological well being. In this study, the temporal and spatial profiles of China＇s carbon dioxide emissions are analyzed by taking heterogeneities into account based on an integration of the extended stochastic impacts using a geographically and temporally weighted regression model on population, affluence, and technology. Population size, urbanization rate, GDP per capita, energy intensity, industrial structure, energy consumption pattern, energy prices, and economy openness are identified as the key driving factors of regional carbon dioxide emissions and examined through the empirical data for 30 provinces during 2006-2010. The results show the driving factors and their spillover effects have distinct spatial and temporal heterogeneities. Most of the estimated time and space coefficients are consistent with expectation. According to the results of this study, the heterogeneous spatial and temporal effects should be taken into account when designing policies to achieve the goals of carbon dioxide emissions reduction in different regions.

关键词： carbon dioxide emission heterogeneity space spillover

Rice Leaves Disease Diagnose Empowered with Transfer Learning

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Computer Systems Science & Engineering 2022年第9期42卷 1001-1014页

作者： Nouh Sabri Elmitwally Maria Tariq Muhammad Adnan Khan Munir Ahmad Sagheer Abbas Fahad Mazaed Alotaibi College of Computer and Information sciences Jouf UniversitySakaka72341Saudi Arabia department of Computer Science Faculty of Computers and Artificial IntelligenceCairo University12613Egypt school of Computer Science National College of Business Administration and EconomicsLahore54000Pakistan department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea department of Information System Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

In the agricultural industry,rice infections have resulted in significant productivity and economic *** infections must be recognized early on to regulate and mitigate the effects of the *** diagnosis of disease severity effects or incidence can preserve production from quantitative and qualitative losses,reduce pesticide use,and boost ta country’s *** the health of a rice plant through its leaves is usually done as a manual ocular *** this manuscript,three rice plant diseases:Bacterial leaf blight,Brown spot,and Leaf smut,were identified using the Alexnet *** research shows that any reduction in rice plants will have a significant beneficial impact on alleviating global food hunger by increasing supply,lowering prices,and reducing production's environmental impact that affects the economy of any *** would be able to get more exact and faster results with this technology,allowing them to administer the most acceptable treatment *** Using Alex Net,the proposed approach achieved a 99.0%accuracy rate for diagnosing rice leaves disease.

关键词： Rice bacterial leaf blight brown spot leaf smut machine learning alexnet

PM_(2.5)concentration declining saves health expenditure in China

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Frontiers of environmental Science & Engineering 2023年第7期17卷 175-186页

作者： Yang Xie Hua Zhong Zhixiong Weng Xinbiao Guo Satbyul Estlla Kim Shaowei Wu school of economics and Management Beihang UniversityBeijing 100191China Laboratory for Low-carbon Intelligent Governance Beihang UniversityBeijing 100191China Institute of Circular Economy Beijing University of TechnologyBeijing 100124China department of Occupational and environmental Health sciences School of Public HealthPeking UniversityBeijing 100871China Faculty of Health and Sport sciences University of TsukubaTsukuba 305-8577Japan department of Occupational and environmental Health School of Public HealthXi'an Jiaotong University Health Science CenterXi'an 710049China

Air pollution has been a severe issue in *** to PM_(2.5)has adverse health effects and causes economic *** study investigated the economic impact of exposure to PM_(2.5)pollution using monthly city-level data covering 88.3 million urban employees in 2016 and *** study mainly focused on three expenditure indicators to measure the economic impact considering lower respiratory infections(LRIs),coronary heart disease(CHD),and *** results show that a 10μg/m3 increase in PM_(2.5)would cause total monthly expenses of LRIs,CHD,and stroke to increase by 0.226%,0.237%,and 0.374%,*** also found that LRI,CHD,and stroke hospital admissions increased significantly by 10%,8.42%,and 5.64%,***,the total hospital stays of LRIs,CHDs,and strokes increased by 2.49%,2.51%,and 1.64%,*** findings also suggest heterogeneous impacts of PM2s exposures by sex and across regions,but no statistical evidence shows significant differences between the older and younger adult *** results provide several policy implications for reducing unequal public health expenditures in overpolutedcountries.

关键词： Air pollution Heaith expenditure PM_(2.5)concentration Economic impact Heterogeneous effect

Assessing the palliative aspects of green innovations in the non-linear tendencies of environmental sustainability-financial globalization nexus among West African states

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Geoscience Frontiers 2024年第6期15卷 207-228页

作者： Mohammed Musah Stephen Taiwo Onifade Elma Satrovic Joseph Akwasi Nkyi department of Accounting Banking and FinanceSchool of BusinessGhana Communication Technology UniversityAccraGhana school of Accounting and Finance Economics DepartmentUniversity of VaasaFI-65200 VaasaFinland department of International Trade and Logistics Faculty of EconomicsAdministrative and Social SciencesHasan Kalyoncu UniversityGaziantepTürkiye department of Accounting Banking and FinanceBusiness SchoolGhana Communication Technology UniversityAccraGhana

A reconciliation of the disagreement on whether financial globalization(FG)affects ecological footprint through the scale,technique and composition effects cannot be achieved without an explicit understanding of the direct and indirect interactions of FG with environmental ***,the novel perspective of this study lies in the investigation of how green innovations moderate the non-linear tendencies in the FG-environmental sustainability link among western African states given the abundance of natural resources and the prevailing pace of economic *** core findings are obtained from robust analysis based on cross-sectional autoregressive distributed lag(CS-ARDL)technique,the augmented mean group(AMG)technique,and the common correlated effects mean group(CCEMG)advanced ***,the beneficial ecological impacts of green innovations were *** per direct impact,enhanced financial globalization(FG)exhibits non-linear detrimental ecological ***,green innovations cushion the observed adverse ecological effects of ***,resource rents reduce ecological footprint within the moderating framework of green innovation as the environmental Kuznets curve(EKC)is validated among the ***,a bidirectional causal link between financial globalization,green innovations,economic growth,natural resources,and ecological footprint was ***,the significant policy implication is for the West African states to decisively increase their investments in green innovations while strategically encouraging the share of ecologically friendly resources in total resource utilization to guarantee a more sustainable environment.

关键词： Green innovations Ecological footprint Natural resources Financial globalization West Africa

Does green growth in E-7 countries depend on economic policy uncertainty,institutional quality,and renewable energy?Evidence from quantile-based regression

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Geoscience Frontiers 2023年第6期14卷 224-233页

作者： Yongzhong Jiang Arshian Sharif Ahsan Anwar Phan The Cong Bawani Lelchumanan Vu Thi Yen Nguyen Thi Thuy Vinh College of Management Science Chengdu University of TechnologyChengdu 610059China department of economics and Finance Sunway Business SchoolSunway UniversitySubang JayaMalaysia University of economics and Human sciences in Warsaw WarsawPoland Faculty of Management sciences Department of Business AdministrationILMA UniversityKarachiPakistan Faculty of economics Thuongmai UniversityHanoiViet Nam Foreign Trade University HanoiViet Nam

environmental degradation is one of the most debatable topics at international forums and it is considered a prime concern for the entire ***,researchers and policymakers have turned their attention from conventional economic growth to green *** the existing literature has discussed several determinants of green growth,the impact of economic policy uncertainty(EPU),renewable energy consumption(RENE),and institutional quality(IQ)on green growth(GGDP)is relatively ***,this study is the earliest attempt to investigate the impact of EPU,IQ,and RENE on GGDP for emerging seven(E-7)countries from 1996 to *** doing so,we apply panel quantile regression(PQR).The empirical findings delineate that EPU has a negative impact on GGDP,whereas IQ and RENE enhance the GGDP in E-7 *** on the outcomes,this study suggests policy implications for achieving targets of the SDG 07,SDG 08,SDG 13,and SDG *** governments of these countries can achieve higher GGDP by ensuring political stability and reliable macroeconomic policies and through making such flexible policies that can easily control or address unpredictable future economic issues.

关键词： Green growth Economic policy uncertainty Institutional quality Renewable energy Sustainable development goals

Investigating the implications of technological innovations,financial inclusion,and renewable energy in diminishing ecological footprints levels in emerging economies

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Geoscience Frontiers 2023年第6期14卷 341-357页

作者： Najia Saqib Ilhan Ozturk Muhammad Usman department of Finance College of Business AdministrationPrince Sultan UniversityRiyadhSaudi Arabia College of Business Administration University of SharjahSharjahUAE Faculty of economics Administrative and Social SciencesNisantasi UniversityIstanbulTurkey school of economics and Management and Center for Industrial EconomicsWuhan UniversityWuhan430072China

The correlation between technological innovation,economic growth,renewable energy,and ecological footprint carries significant policy implications for environmental ***,financial inclusion can drastically affect the technology-climate nexus across different countries and its moderating impacts have received sufficient *** do this,this study examined how technological innovation,financial inclusion,economic growth,and renewable energy affected emerging economies’ecological footprint from 1990 to ***,this study also scrutinizes the moderating role of financial inclusion with other regressors on ecological *** account for structural shifts,disguised cointegration,and numerous breaks in panel regression,this study applies advanced panel estimation methods for empirical *** estimated outcomes exhibit that the influence of technical innovation,climate technologies,and renewable energy significantly reduces the ecological footprint ***,economic growth and financial inclusion significantly increase the ecological footprint levels in the emerging ***,the integration of innovative technology and renewable energy in emerging countries mitigates the adverse effects of financial inclusion by making it easier for creative technologies and reducing ecological *** results show that emerging countries’innovative technology and renewable energy sources should be integrated with financial inclusion to enable longterm mitigation of environmental damages and sustainable *** on these estimated findings,the research recommends that emerging economies should hasten technological innovations along with stronger financial development to curtail ecological concerns without hindering the pace of sustainable economic growth.

关键词： environmental-related technology Financial inclusion Renewable energy Ecological footprints Emerging countries