Energy consumption,air quality,and air pollution spatial spillover effects:evidence from the Yangtze River Delta of China

Based on analysis of the theoretical impact of energy consumption on air quality,taking 20 heavily polluted cities in the Yangtze River Delta of China as the object,we construct a Spatial Dubin Model,and estimate the effect of energy consumption on air quality and the spatial spillover effects of air pollution.We come to the following conclusions:First,the regional air quality has significant spatial dependence and spatial heterogeneity.Second,under three kinds of spatial associated mode,energy consumption has a negative impact on air quality,and the air pollution arising from energy consumption has a negative intra-regional spillover effect.The effect is strongest under the spatial distance weight matrix,followed by the economic distance,and the adjacent spatial weight matrix,which are−0.7926,−0.4547,and−0.4539,respectively.Third,in addition,under the adjacent space and economic distance space matrix,energy consumption has a significant negative effect on air quality,and the inter-regional spillover effects are−0.1513 and−2.5736,respectively.Meanwhile,considering spatial distance and economic development,the inter-regional spillover effect is much larger than is the intra-regional spillover effect.In general,the total spillover effect is at−0.6053 and−3.0284.

Electricity Consumption and Spillover Effects A Dynamic Panel Data Approach

The paper intends to analyze economic factors that influence electricity consumption in the OECD economies. A special interest in this context is given to spillover effects of trade on electricity consumption. For this purpose, a model is constructed that using a dynamic panel study approach. The model is estimated in a GMM framework in which a dynamic procedure is conducted along the balanced growth path for electricity consumption in each economy. In advance, the long run dynamic behavior of prices, GDP, and trade induced spillover variables is determined. In a further step, the short run dynamic mechanism is pursued by estimating the partial adjustment dynamic coefficient on the target level of electricity consumption. The analysis is conducted for industrial, as well as residential electricity consumption. Alternatively, the same procedure is estimated by the application of a fixed period model. The model provides a benchmark tool for electricity policy decisions and for electricity consumption projections.

Scheduling an Energy-Aware Parallel Machine System with Deteriorating and Learning Effects Considering Multiple Optimization Objectives and Stochastic Processing Time

Currently,energy conservation draws wide attention in industrial manufacturing systems.In recent years,many studies have aimed at saving energy consumption in the process of manufacturing and scheduling is regarded as an effective approach.This paper puts forwards a multi-objective stochastic parallel machine scheduling problem with the consideration of deteriorating and learning effects.In it,the real processing time of jobs is calculated by using their processing speed and normal processing time.To describe this problem in a mathematical way,amultiobjective stochastic programming model aiming at realizing makespan and energy consumption minimization is formulated.Furthermore,we develop a multi-objective multi-verse optimization combined with a stochastic simulation method to deal with it.In this approach,the multi-verse optimization is adopted to find favorable solutions from the huge solution domain,while the stochastic simulation method is employed to assess them.By conducting comparison experiments on test problems,it can be verified that the developed approach has better performance in coping with the considered problem,compared to two classic multi-objective evolutionary algorithms.

Research on the Influence of the Digital Economy on Transforming Consumption Behavior Among Residents

Drawing on the essence of Marxist consumer economy theory,this paper argues that the innovations of digital technology can effectively facilitate the integration of economies of scale,economies of scope,and long-tail economies.Through careful analysis of the practical case of Xiaomi’s business ecosystem,this paper highlights the notion that data serve as both a key production factor and a critical consumption carrier within the context of digital consumption.We thoroughly investigated the influence of the digital economy on transforming consumption behavior among residents by analyzing a range of typical business cases and the latest data that triggered this transformation.Based on the analysis,this paper argues that such transformation can lead to the platform agglomeration effect,the inclusive diffusion effect,and the push-pull effect by highlighting the specific ways in which the digital economy disrupts the consumption-production model and contributes to the upgrading and transformation of traditional industries.Additionally,this paper demonstrates how the digital economy can expand and promote emerging business forms,providing insights into the ways in which digital innovation is reshaping the contemporary economic landscape.This study intends to provide several policy suggestions that can expand domestic demand,promote consumption,drive the high-quality and integrated development of China’s digital and real economy,and position China as a strong cyber and consumer nation by using digitalized consumption as a starting point.

The effect of human capital on energy consumption:Evidence from an extended version of STIRPAT framework

Human capital is an important aspect of energy consumption,exerting crucial effects on economic growth,technological progress,and economic restructuring.This paper presents an in-depth investigation of the effect of human capital on energy consumption using an extended version of the Stochastic Impacts by Regression on Population,Affluence,and Technology framework.The estimated results using a panel dataset covering China’s 30 provincial regions during the period 1997-2018 and applying fixed effects with instrumental variables and the generalized method of moments indicated that an increase in human capital significantly drove energy consumption.A 1%increase in human capital increased energy consumption by approximately 0.3%.A two-step channel analysis to test scale,technical,and structural effects revealed that the positive effect of human capital on energy consumption is based primarily on the scale effect.However,highly educated human capital alleviates the energy pressure of this effect.In contrast to the scale effect,both the technical and structural effects of human capital reduced energy consumption,and this reduction is primarily correlated with enterprises’utility-oriented technological progress.Finally,we present strategic energy control policy implications related to human capital.

Assessment of energy consumption,environmental effects and fuel costs of the bus rapid transit system in Bogotá(Colombia)

Colombia aims to boost the utilization of mass transportation systems in its major cities while simultaneously reducing greenhouse gas emissions by 20%,in alignment with the commitments of the COP21 agreement.In 2020,the transport sector in Colombia accounted for 34.4%of the country’s energy demand and was responsible for~49%of its total CO_(2) emissions.This article presents an assessment of energy consumption,environmental effects and the fuel costs of Bogotá’s bus rapid transit system based on the Activity,Share,Intensity,Fuel methodology.A long-term analysis spanning from 2021 to 2040 was developed using the long-range energy alternatives planning platform.To conduct this assessment,the tool was calibrated using data from 2019 and 2020.Four distinct scenarios based on energy policies implemented in Bogotáwere examined:Business as Usual,Fast Transition,High Growth and Low Growth.Regarding energy consumption and environmental effects,the results underscore the pivotal role of diversifying energy sources and reducing reliance on fossil fuels such as oil.Consequently,the analysis emphasizes the urgent need to accelerate the transition to alternative energy sources such as natural gas and electricity.

The effect of different irrigation patterns on rice yield and water consumption

The ecological and physiological water require-ment of rice and rice yield was studied underthree irrigation patterns, which were A: moistirrigation, remains 70-90% of saturated soilwater content except 3-4 cm deep water layerin tillering stage in paddy; B: flood irrigation,remains 4-5 cm deep water layer except 80%relative water content in the late tillering stage

Effective Supply,Consumption Upgrade,and Expanding Domestic Demand

Addressing the prolonged stagnation in household consumption growth in China is crucial for the successful implementation of the strategy to expand domestic demand.By constructing the upgrading index of consumption structure from 2002 to 2018,it is found that the overall upgrading trend of household consumption structure in China is accelerated after 2014.Theoretical analysis and empirical results indicate that,as household consumption structures rapidly upgrade with rising incomes in China,the primary factor limiting reasonable growth in household consumption is the insufficient effective supply resulting from a mismatch between the supply structure and the demand structure.As the adjustment of the supply structure depends on the continuous optimization of investment flow,expanding effective investment is the key driving force to improve effective supply,and it is also the existing component of expanding domestic demand.Further research shows that weakening investment convergence can significantly alleviate the insufficient effective supply caused by consumption upgrading.Enhancing the scientific anticipation of policy regulations and increasing the effectiveness of investments will be beneficial for realizing the strategy of expanding domestic demand.

Digital finance and renewable energy consumption:evidence from China

While digital finance and renewable energy consumption(REC)are two timely issues,it remains unclear whether the former affects the latter,especially in developing economies.This paper examines the impact of digital finance on China’s REC between 2011 and 2018 and explores the underlying mechanisms.Results show that digital finance,along with its coverage breadth and usage depth,significantly improved REC in China and that digital finance in the area of credit has had the most significant impact.Additionally,the results show that loan scale and income level are the main mediation variables,through which digital finance affects REC.The findings also suggest that economic growth and technological progress have increased REC in China,while carbon dioxide emissions have had no meaningful effect on this consumption.The results further indicate that policymakers must pay close attention to the role of digital finance when formulating policies on REC.To promote REC and environmental sustainability,developing economies like China should strengthen the breadth and depth of digital finance development,focus on the influence channels of digital finance,and promote economic growth and technological progress.

Analysis of Medical Waste Incinerator Performance Based on Fuel Consumption and Cycle Times

A detailed assessment of an incinerator based on fuel consumption and cycle time data is presented in this paper. The study was conducted at Temeke district hospital for 22 months consecutively covering 654 days of daily data collection on fuel consumption and cycle times. The composition for the medical waste incinerated varied between 15% and 35% for sharps waste and between 65% and 85% for other waste, with mean values of 25% and 75%, respectively. The results revealed poor performance of the incinerator due to higher fuel consumption (above 30 L/cycle). The incineration cycle times were observed to range between 2 and 4 hours, all of which were too high for the loading rates observed (55 - 214 kg). A strong dependency of diesel oil consumption on cycle time was observed due to lack of temperature control leading to continuous fuel flow into the burners. The incineration capacity was very low compared to other incinerators in terms of tons per year. This paper gives an insight on the factors affecting incinerator performance assessed based on diesel oil consumption and cycle times. It can be generalized that the incinerator performance was poor due to several factors ranging from poor incinerator design, operator skills, waste management practices, waste storage practices, etc. The hospital was advised to install a new incinerator with short incineration cycle time (30 - 40 minutes) and lower fuel consumption (10 L/cycle) at a loading rate of 200 kg/cycle.

The Empirical Analysis of the Impacts of Income Distribution Gap on Consumption Demand:Based on the Statistic Data of Chinese Urban Residents in 2000-2010

This paper analyzes the impact of income distribution gap on consumption demand from a theoretical view,and draws the conclusion that there is an inverse relationship between income distribution gap and consumption demand.Then,the paper finds that the existing widening income distribution gap in China has a negative impact on consumption demand,but this is not the key factor for the insufficient consumption demand because of the low level of per capital income.At last,it suggests that governments should improve the income level of entire residents and adjust income distribution structure simultaneously.

Factors Influencing Urban Residents' Tea Consumption Habits: An Empirical Study of Hangzhou City

Based on the survey data concerning residents in Hangzhou City, we analyze the main factors influencing consumers' spending decisions, using Probit model. The results show that gender, age, and personal income have a significant positive effect on whether to drink tea; the degree of understanding of the tea, and the number of acquaintances drinking water also have a significant positive effect on whether to drink tea; but individual career, unit characteristics, and educational level have no significant positive effect on whether to drink tea. This research conclusion can provide microscopic evidence for the tea industry's healthy development and formulation of marketing strategies; at the same time, provide a reference for marketing of the other hobby products.

Comparison of Energy Consumption of the 12 Classroom Typical School Buildings in Selected 4 City in Turkey

School is a special place where students come together to become productive individuals of society,acquire basic skills and acquire citizenship knowledge.With the introduction of the new education system(4+4+4)in Turkey in 2012-2013,some difficulties occurred in the spatial structure of the schools.After the new system,increasing number of students and decreasing student requirements have been tried to be solved with temporary solutions.At the same time that millions of students studying in primary schools all over Turkey have the same architectural feature as one type of architectural school project,regardless of the geographical and social situation began to be implemented in all parts of the city.Therefore,the increase in consumption varies depending on the geographical reasons where the type projects are implemented.Selected regions of the four thermal zones in Turkey for this research are provided below:1^st Thermal district in Antalya;2^nd Thermal district in Bursa;3^rd Thermal district in Elaz??;4^th Thermal district in Kars.The calculation of the energy consumption created by the above cities by means of BEP-TR program and comparing classes.

人口老龄化背景下体育消费的健康效应——基于全国消费大数据的实证证据

基于健康资本需求理论将体育消费视作一种健康投资,提出个体体育消费的增长可降低其医疗消费支出的假设;采用2018—2021年全国消费大数据,实证检验个体体育消费的健康效应。结果显示,体育消费占个体年度总消费的比例每提高1个单位,医疗消费占个体年度总消费的比例降低0.203个单位。新冠病毒感染疫情对体育消费的健康效应有所抑制但依然显著。进一步分析表明,体育消费的健康效应对35岁及以上人群的影响会随着年龄的增长明显增强,对65岁及以上老龄人口的影响效果最为突出。认为:在应对人口老龄化和医疗负担增加等重大挑战时,需要加快普及对体育消费的健康效应认知,大力促进全人群体育消费。

房价对城镇居民消费不平等的影响研究

基于中国家庭追踪调查库(CFPS)2010—2018年数据,采用面板计量模型和中介效应模型,研究房价对城镇居民消费不平等的影响效应及作用机制。结果表明:房价会正向影响城镇居民消费不平等,运用工具变量法进行内生性检验以及其他稳健性检验后,以上结论稳健。机制检验结果表明,房价会通过家庭人均消费支出影响城镇居民消费不平等,房价对居住支出和教育文化娱乐支出的影响程度较大,进一步说明房价上升会通过影响消费结构加剧城镇居民消费不平等。异质性检验结果表明,相对于城镇中低收入、中低金融资产家庭而言,房价变动对城镇高收入、高金融资产家庭居民消费的影响更明显。为此,应稳定房价、合理引导住房支出和调整居民消费结构,以促进消费公平,缩小消费不平等。

扩大内需的潜力展望与实施路径

有效需求不足是影响我国经济高质量发展的一个关键性问题。当前,导致我国有效需求不足的主要结构性因素包括:我国居民可支配收入在国民收入中的占比较低导致居民整体消费水平偏低;个别行业产能过剩约束制造业投资增长;制造业下滑、基建投资瓶颈等多重约束下的民间投资负重前行。从更为宏观的视角看,扩大国内需求激发经济增长潜力仍然具有广阔空间,主要体现在我国居民消费结构升级空间广阔;城镇化的增量空间和存量改进空间仍然存在;高储蓄率是持续发挥有效投资关键作用的基础;推进金融高水平对外开放,可引导外资为国内资本存量提供新支撑;第二次人口红利有望接替第一次人口红利,推动经济的可持续增长。为进一步扩大内需、激发我国经济增长潜力,可从以下三个方面优化宏观调控思路,一是通过扩大中央财政赤字和改革基础货币发行机制,助力畅通国内大循环;二是向居民部门让渡部分收入,推动居民消费可持续增长;三是通过稳预期、降成本、促创新,稳定民间投资。

电化学水处理技术降低循环水硬度的实验研究

使用电化学法处理某焦化企业实际循环水的实验,探究了循环水的硬度和碱度去除率随处理时间的变化情况。分析了电流密度、水力停留时间、极板间距等实验操作参数以及商用阻垢剂对电解效果和能耗的影响。结果表明:硬度和碱度去除率随处理时间呈现先上升后平稳的趋势,且碱度去除率总是高于硬度去除率;电流密度为70 A/m^(2)、水力停留时间为6 min、极板间距为3 cm时电解效果最佳,硬度和碱度去除率可达27%以上,单位能耗低至13 kWh/kg;商用阻垢剂对电解效果具有阻碍作用。

产业转型升级、城乡收入差距与居民消费

居民消费是畅通国内大循环的关键环节和重要引擎,产业转型升级优化了消费供给。本文实证分析了产业转型升级对居民消费的直接影响,以及通过城乡收入差距所产生的间接影响。研究发现,经济高质量发展期间,产业转型升级显著促进居民消费;城乡收入差距在产业转型升级和居民消费间的中介效应显著,产业转型升级会通过缩小城乡收入差距间接促进居民消费;产业转型升级对居民消费的影响以及城乡收入差距的中介效应均存在区域异质性,西部地区的直接影响和中介影响均强于中部和东部地区。因此,应该通过供给侧为居民提供丰富、高质量的商品,满足人民日益增长的消费需求;通过产业转型升级带动就业,提高劳动力收入,缩小城乡收入差距,同时积极防范部分地区在实施产业转型升级政策时出现扩大城乡收入差距等问题。

“共赢”vs.“牺牲”:道德消费叙述框架对消费者算法推荐信任的影响

消费者在做出道德消费选择时,要面对丰富的道德产品,复杂地权衡功利利益和道德利益。算法决策推荐可以减轻道德消费决策的复杂性,但是消费者在涉及道德伦理的权衡决策中对算法存在不信任,因为算法是一种典型的以功利论来处理道德权衡问题的方式。本研究提出采用“共赢”(vs.“牺牲”)叙述框架对道德消费中的算法推荐信任有积极影响,消费者对功利论式道德观念的接受程度中介了上述积极效应。实验1发现“共赢”(vs.“牺牲”)叙述框架会增加消费者选择算法推荐的意愿。实验2验证了“共赢”(vs.“牺牲”)叙述框架对消费者算法推荐信任的正向影响,以及功利论式道德观念接受度的中介作用。实验3进一步识别了上述影响的边界条件,即道德消费的“共赢”(vs.“牺牲”)叙述框架仅会增强消费者对算法替代型决策推荐的信任,但是并不会改变消费者对于算法增强型决策推荐信任。

价格补贴、征税与劝诫政策调节下的绿色消费行为影响机制研究

研究价格补贴、征税与劝诫3种不同政策工具在绿色素养、价值感知与绿色消费行为意愿之间的影响机制,对采取有效政策工具促进绿色消费行为具有重要价值。从理论与实证出发,探讨了绿色素养、价值感知与绿色消费行为意愿之间的关系,引入了价格补贴、征税与劝诫多种政策工具导向作为情景调节变量,并分析了其在上述关系之中的调节效应。结果表明:①消费者的绿色素养越高,越能正向促进绿色消费行为意愿;②绿色价值感知利得与绿色价值感知利失起并行中介作用,且消费者的绿色素养更能通过绿色价值感知利得正向促进绿色消费行为意愿;③3种政策导向工具都能正向调节绿色素养对绿色价值利得感知之间的关系。在对绿色素养对绿色价值利失感知之间的影响关系中,价格补贴性政策能够显著调节这一影响机制,征税型政策与劝诫型政策导向对这一影响机制调节效应不显著。同时,调节效应图分析显示,不同高低分组的价格补贴政策、征税与劝诫型政策导向对绿色素养对绿色消费行为意愿的调节也有一定的异质性。