scholarly journals An empirical study of the impact of human activity on long-term temperature change in China: A perspective from energy consumption

2012 ◽  
Vol 117 (D17) ◽  
pp. n/a-n/a ◽  
Author(s):  
Yan Li ◽  
Xinyi Zhao
Keyword(s):  
Energy Consumption ◽  
Empirical Study ◽  
Temperature Change ◽  
Human Activity ◽  
The Impact

scholarly journals Urbanization Impact on Temperature Change in China with Emphasis on Land Cover Change and Human Activity

2013 ◽  
Vol 26 (22) ◽  
pp. 8765-8780 ◽  
Author(s):  
Yan Li ◽  
Lijuan Zhu ◽  
Xinyi Zhao ◽  
Shuangcheng Li ◽  
Yan Yan
Keyword(s):  
Land Cover ◽  
Land Cover Change ◽  
Temperature Change ◽  
Human Activity ◽  
Urban Expansion ◽  
Urbanization Effect ◽  
Temperature Trends ◽  
Impact Of Urbanization ◽  
Environmental Prediction ◽  
The Impact

Abstract The impact of urbanization on temperature trends in China was investigated with emphasis on two aspects of urbanization, land cover change, and human activity. A new station classification scheme was developed to incorporate these two aspects by utilizing land cover and energy consumption data. Observation temperature data of 274 stations and National Centers for Environmental Prediction (NCEP)–National Center for Atmospheric Research (NCAR) reanalysis temperature from 1979 to 2010 were used in conducting the observation minus reanalysis (OMR) method to detect urban influence. Results indicated that nearly half of the stations in the study area have been converted from nonurban to urban stations as a result of land cover change associated with urban expansion. It was determined that both land cover change and human activity play important roles in temperature change and contribute to the observed warming, particularly in urbanized stations, where the highest amount of warming was detected. Urbanized stations showed higher OMR temperature trends than those of unchanged stations. In addition, a statistically significant positive relationship was detected between human activity and temperature trends, which suggests that the observed warming is closely related to the intensity and spatial extent of human activity. In fact, the urbanization effect is strongly affected by specific characteristics of urbanization in local and regional scales.

scholarly journals Climate Change and Building Energy Consumption: A Review of the Impact of Weather Parameters Influenced by Climate Change on Household Heating and Cooling Demands of Buildings

2021 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Hassan Bazazzadeh ◽  
Adam Nadolny ◽  
Seyedeh Sara Hashemi Safaei
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Energy Consumption ◽  
Industrial Development ◽  
Building Sector ◽  
Total Energy Consumption ◽  
Heating And Cooling ◽  
Urban Energy ◽  
The Impact

The growth of urban population as the result of economic and industrial development has changed our place of living from a prosperous place to where the resources are carelessly consumed. On the other hand, long-term climate change, i.e. global warming, has had adverse impact on our resources. Certain resources are on the verge of depletion as the consequence of climate change and inconsiderate consumption of resources, unless serious measures are implemented immediately. The building sector, whose share in the municipal energy consumption is considerably high, is a key player that may successfully solve the problem. This paper aims to study the effects of climate change on the energy consumption of buildings and analyze its magnitude to increase the awareness of how construction can reduce the overall global energy consumption. A descriptive-analytical method has been applied to analyze valid models of energy consumption according to different scenarios and to interpret the conditions underlying current and future energy consumption of buildings. The results clearly show that the energy consumption in the building sector increasingly depends on the cooling demand. With that being said, we can expect the reduction of overall energy consumption of buildings in regions with high heating demands, whereas rising the energy consumption in buildings is expected in regions with high cooling demand. To conclude, the long-term climate change (e.g. global warming) underlies the increased energy consumption for the cooling demand whose share in total energy consumption of buildings much outweighs the heating demand. Therefore, to conserve our resources, urban energy planning and management should focus on working up a proper framework of guidelines on how to mitigate the cooling loads in the energy consumption patterns of buildings.

scholarly journals Modifiable reporting unit problems and time series of long-term human activity

2020 ◽  
Vol 376 (1816) ◽  
pp. 20190726 ◽  
Author(s):  
A. Bevan ◽  
E. R. Crema
Keyword(s):  
Time Series ◽  
Human Activity ◽  
Real World ◽  
Population Change ◽  
Theme Issue ◽  
The Impact

This paper responds to a resurgence of interest in constructing long-term time proxies of human activity, especially but not limited to models of population change over the Pleistocene and/or Holocene. While very much agreeing with the need for this increased attention, we emphasize three important issues that can all be thought of as modifiable reporting unit problems: the impact of (i) archaeological periodization, (ii) uneven event durations and (iii) geographical nucleation-dispersal phenomena. Drawing inspiration from real-world examples from prehistoric Britain, Greece and Japan, we explore their consequences and possible mitigation via a reproducible set of tactical simulations. This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography’.

scholarly journals EMPIRICAL STUDY ON ALTERNATIVES FOR SAVING AND INVESTING IN THE POSTPANDEMIC PERIOD. CASE STUDY: ROMANIA

2021 ◽  
Vol S.I. (2) ◽  
pp. 27-40
Author(s):  
Alexandru Mihai Alexandru Mihai ◽  
◽  
Ruxandra DINULESCU ◽  
Florin PUCHEANU ◽  
◽  
...  
Keyword(s):  
Empirical Study ◽  
The Past ◽  
Trading Market ◽  
Before And After ◽  
Double Approach ◽  
Potential Risks ◽  
Potential Strategy ◽  
The Impact

This paper develops investigations in the field of saving and investing techniques related to the impact of the COVID19 pandemic on the Romanian trading market. The study focuses particularly on the alternatives for accumulation of money capital which can lead to a positive long-term return. The research aims to investigate the available current services and opportunities in the Romanian investment market and their returns after the pandemic. Towards this objective, the study presents the past returns for several products and the users potential risks. Furthermore, an investigation is conducted based on the latest statistics whereas different variants of portfolios are presented. Unlike most of the previous studies, this analysis has a double approach: evaluating viable alternatives depending on several characteristics and simultaneously developing a long-term potential strategy that could be used to ensure the financial future of an individual in the period of the outbreak of the COVID19 pandemic. This contribution provides an initial analysis of the saving and investing market of Romania before and after the pandemic.

scholarly journals The Long-Term Trend Analysis and Scenario Simulation of the Carbon Price Based on the Energy-Economic Regulation

2020 ◽  
Vol 12 (5) ◽  
pp. 653-668
Author(s):  
Zhao-Peng Li ◽  
Li Yang ◽  
Si-Rui Li ◽  
Xiaoling Yuan
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Clean Energy ◽  
Carbon Price ◽  
Energy Development ◽  
Carbon Market ◽  
Content Type ◽  
Price Trends ◽  
The Impact

Purpose China’s national carbon market will be officially launched in 2020, when it will become the world’s largest carbon market. However, China’s carbon market is faced with various major challenges. One of the most important challenges is its impact on the social and economic development of arid and semi-arid regions. By simulating the carbon price trends under different economic development and energy consumption levels, this study aims to help the government can plan ahead to formulate various countermeasures to promote the integration of arid and semi-arid regions into the national carbon market. Design/methodology/approach To achieve this goal, this paper builds a back propagation neural network model, takes the third phase of the European Union Emissions Trading System (EU ETS) as the research object and uses the mean impact value method to screen out the important driving variables of European Union Allowance (EUA) price, including economic development (Stoxx600, Stoxx50, FTSE, CAC40 and DAX), black energy (coal and Brent), clean energy (gas, PV Crystalox Solar and Nordex) and carbon price alternatives Certification Emission Reduction (CER). Finally, this paper sets up six scenarios by combining the above variables to simulate the impact of different economic development and energy consumption levels on carbon price trends. Findings Under the control of the unchanged CER price level, economic development, black energy and clean energy development will all have a certain impact on the EUA price trends. When economic development, black energy consumption and clean energy development are on the rise, the EUA price level will increase. When the three types of variables show a downward trend, except for the sluggish development of clean energy, which will cause the EUA price to rise sharply, the EUA price trend will also decline accordingly in the remaining scenarios. Originality/value On the one hand, this paper incorporates driving factors of carbon price into the construction of carbon price prediction system, which not only has higher prediction accuracy but also can simulate the long-term price trend. On the other hand, this paper uses scenario simulation to show the size, direction and duration of the impact of economic development, black energy consumption and clean energy development on carbon prices in a more intuitive way.

Impact and Interaction of Determinants on Innovation as a Competence

2013 ◽  
Vol 4 (3) ◽  
pp. 1-14
Author(s):  
Pradeep Waychal ◽  
R.P. Mohanty
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Empirical Study ◽  
Human Resource Development ◽  
Empirical Model ◽  
Interaction Effect ◽  
Reading Scores ◽  
The Impact ◽  
Fair Degree

This paper posits that “innovation as a competence” depends on individuals and consists of appraisable competencies such as: visioning, ability to generate ideas, internal and external networking, ownership to the organization, stretch mindset, focus on tasks and decision making. Further, these competencies are associated with gender, age and reading scores of an individual and have interaction effect on each other. An empirical model to analyze the impact of the determinants on innovation as a competence and their interactions is constructed and the analysis suggests significant differentiating determinants and fair degree of interaction amongst some of them. The empirical study has been carried out in a midsize Indian information technology company. The findings may facilitate human resource development in information technology organizations, where innovations are considered to be the hallmark for long term growth and sustenance.

scholarly journals Exploring the Impact of Exports on Clean Energy Consumption in China: An Empirical Study

2021 ◽  
Vol 9 (1) ◽  
pp. 44-56
Author(s):  
Abdelrahim A. M. Yahia ◽  
Zhaohua Li ◽  
Ebaidalla Mahjoub Ebaidalla ◽  
Jun He
Keyword(s):  
Energy Consumption ◽  
Empirical Study ◽  
Clean Energy ◽  
The Impact

scholarly journals An Empirical Study on the Announcement of Corporate Quarterly Results in India

2013 ◽  
Vol 1 (1) ◽  
pp. 119
Author(s):  
S. Saravanakumar ◽  
A. Mahadevan
Keyword(s):  
Empirical Study ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Place ◽  
Earnings Announcement ◽  
Market Return ◽  
The Impact ◽  
A Company ◽  
Buying Decisions

<p>Announcement of quarterly results is the course of communicating the performance of a company to its<br />owners. Investors’ long-term buying decisions are largely based on the earnings stream of the firm. In<br />order to show the progress of the company, the earnings position is revealed as per the listing<br />agreement at a regular interval. Normally a higher earnings than the previous quarter earnings should<br />be welcomed by the market. This should be associated with greater return after the result is announced.<br />All higher return after the announcement cannot say to be due to the earnings results. To find out the<br />impact of results on returns, the impact of other factors in returns is to be segregated. The impact of<br />other factors in return is taken from the index which is nothing but the market return. The<br />announcement of earnings is unique and specific to a company, to study its impact on the market place,<br />the impact of other factors is removed, that is why the period is limited to 32 days and the return is<br />calculated for 31 days. This study examines abnormal returns of earnings announcement during the<br />pre-announcement and post announcement period. This study is based on samples of 50 Nifty<br />companies listed on National Stock Exchange, exhibited that investors do not gain value from earnings<br />announcement. Indeed shareholders earned little value over a period of 15 days prior to the earnings<br />announcement through to 15 days after the announcement. The lower return may be partially<br />compensated because of the current earnings yield. This study also indicates that announcement of<br />result does not convey any useful information to the investing community, which needs to be further<br />investigated.</p>

Monitoring Recovery Using Energy Consumption Indices

2007 ◽  
Vol 2 (6) ◽  
pp. 445-452
Author(s):  
Masasuke Takashima* ◽  
◽  
Haruo Hayashi** ◽  
Keyword(s):  
Energy Consumption ◽  
Hurricane Katrina ◽  
Recovery Process ◽  
Night Time ◽  
Catastrophic Event ◽  
Affected Area ◽  
Electric Power Supply ◽  
The Impact ◽  
Recovery Monitoring

A methodology to monitor the socio-economic impact due to a catastrophic event in high spatial resolution, high frequency, and in homogenous manner within the entire affected area is indispensable to maintain an up-to-date overall picture of the event in disaster response/recovery operations. Energy consumption of the affected area is a promising index for long-term recovery monitoring. The energy consumption of an urbanized area strongly correlates with its socioeconomic activity. When an area is urbanized and developed, more energy is required to maintain it. Once a catastrophic event interrupts these activities, energy consumption of the area decreases. We have been studying ways to monitor long-term recovery using electric power supply data and the night time city light imagery data provided by the Defense Meteorological Satellite Program as indices of energy consumption. In this paper, we introduce these methodologies and their application to recovery process monitoring after the Kobe earthquake in Japan and Hurricane Katrina in the U.S. The impact and following recovery process of those two catastrophic events were clearly depicted. These examples have shown both methodologies to be promising in monitoring the spaciotemporal distribution of impact due to events independent of the type of hazard. Recovery monitoring methodologies introduced in this paper provide a way to determine overall trends in recovery of affected areas macroscopically. For concrete policy making and support, a more detailed view is also needed to evaluate recovery conditions of different social and economic sectors and individual households and businesses. Both macroscopic and microscopic viewpoints are needed to appropriate response and recovery operations.

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