scholarly journals Motivating factors affecting the individual energy consumption behavior

2021 ◽  
Vol 124 ◽  
pp. 08003
Author(s):  
Jalal ud Din Akbar ◽  
Muhammad Ridhuan Tony Lim Abdullah
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Human Behavior ◽  
Clean Energy ◽  
Daily Routine ◽  
Factors Affecting ◽  
Number Of Factors ◽  
Development Goals ◽  
The Government ◽  
The Individual

Global challenges of climate change and environmental deterioration helped in formulating seventeen sustainable development goals through United Nation. Achieving these sustainable goals, Malaysia initiated and track progress towards affordable and clean energy. The natural environment and climate are mostly influenced by human behavior. Due to the role of human behavior in climate change, a strong tendency towards the pursuit of energy sustainability exists. Attention is paid to strengthen the human behavior from general acts of doing things to carrying specific actions by adopting a responsible behavior into daily routine. A number of factors were identified through literature such as social structure, institution, and education for understanding the individual behavior for sustainability with regard to energy consumption. Many experts related to the field of energy were engaged to sort and prioritize these factors with respect to their importance by using multi-criteria decision making tool of analytical hierarchy process (AHP). The experts were selected from different sectors such as academia, NGOs and industry. With the help of experts, a framework of individual energy consumption behaviour is developed to allow the government and other stakeholders to make policies accordingly to achieve energy sustainable.

Individual Green Computing

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Annie Rajoria ◽  
Amit Khandelwal ◽  
Narendra Kohli
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Green Computing ◽  
Adverse Impact ◽  
Computer Users ◽  
College Level ◽  
Environment Friendly ◽  
Individual Level ◽  
The Public ◽  
The Individual

<p>In today's world, with the rapid growth in industries in every sector, the environment is at stake without the implementation<br />of environment friendly practices. However, with the rising prices and climate change, the public and corporate companies<br />are keen to follow eco friendly measures which will not only conserve energy but also help to sustain balance in the<br />environment. In this paper, we have presented such measures to be practiced at the individual level. Green computing<br />refers to the ways in which energy consumption can be reduced, more recyclable products can be manufactured and the<br />adverse impact on the environment can be diminished. The study and practice of using computing resources efficiently by<br />the individuals or computer users can be termed as 'individual green computing'. The key to 'individual green computing' is<br />the creation of awareness at the student as well as the college level about the significance of their pivotal role in this eco<br />friendly initiative.</p>

scholarly journals INCREASING AWARENESS CAPACITY OF DISASTER POTENTIAL AS A SUPPORT TO ACHIEVE SUSTAINABLE DEVELOPMENT GOAL (SDG) 13 IN LAMPUNG PROVINCE

2021 ◽  
Vol 5 (2) ◽  
pp. 129
Author(s):  
Indra Jaya Wiranata ◽  
Khairunnisa Simbolon
Keyword(s):  
Climate Change ◽  
Sustainable Development ◽  
Natural Disasters ◽  
Sustainable Development Goals ◽  
Provincial Government ◽  
Primary Data ◽  
The Sustainable Development ◽  
Prone Area ◽  
Development Goals ◽  
The Government

<p>Global policies on the Sustainable Development Goals (SDGs) address several aspects of environmental life and climate change. There are still challenges that many regions do not pursue the achievement of sustainable development goals which means that SDGs cannot simply and automatically be achieved in several regions due to different contexts and different geographic backgrounds. Extreme climate change can cause natural disasters that have the potential to cause losses and even claim victims. Thus, Lampung, which is a disaster-prone area, is interesting to be studied whether the government and the community's efforts to realize potential disasters have been accomplished properly. This research explains the efforts that have been and need to be done by Lampung Province in responding to potential disasters through a policy brief in order to motivate the government to pay more attention to climate change and natural disasters. This research is a type of qualitative research with primary data that will be taken by using interview techniques and literature review. The survey was conducted by random sampling the people of Lampung regarding the level of awareness of potential disasters. The data will also be obtained by using Google Trend. The results of this research indicate that the efforts of the Lampung Provincial Government such as mitigation, emergency response, reconstruction, rehabilitation, disaster risk assessments, and support from the epistemic community.</p>

scholarly journals Forecasting Clean Energy Consumption in China by 2025: Using Improved Grey Model GM (1, N)

2020 ◽  
Vol 12 (2) ◽  
pp. 698 ◽  
Author(s):  
Maolin Cheng ◽  
Jiano Li ◽  
Yun Liu ◽  
Bin Liu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Clean Energy ◽  
Equation Model ◽  
Grey Model ◽  
Population Increase ◽  
Factors Affecting ◽  
Comparison Results ◽  
Conventional Models ◽  
Improved Model

Forecasting China’s clean energy consumption has great significance for China in making sustainably economic development strategies. Because the main factors affecting China’s clean energy consumption are economic scale and population size, and there are three variables in total, this paper tries to simulate and forecast China’s clean energy consumption using the grey model GM (1, 3). However, the conventional grey GM (1, N) model has great simulation and forecasting errors, the main reason for which is the structural inconsistency between the grey differential equation for parameter estimation and the whitening equation for forecasting. In this case, this paper improves the conventional model and provides an improved model GM (1, N). The modeling results show that the improved grey model GM (1, N) built with the method proposed improves simulation and forecasting precision greatly compared with conventional models. To compare the model with other forecasting models, this paper builds a grey GM (1, 1) model, a regression model and a difference equation model. The comparison results show that the improved grey model GM (1, N) built with the method proposed shows simulation and forecasting precision superior to that of other models as a whole. In the final section, the paper forecasts China’s clean energy consumption from 2019 to 2025 using the improved grey model GM (1, N). The forecasting results show that, by 2025, China’s clean energy consumption shall reach the equivalent of 1.504976082 billion tons of standard coal. From 2019 to 2025, clean energy consumption shall increase by 11.32% annually on average, far above the economic growth rate, indicating China’s economic growth shall have a great demand for clean energy in the future. Studies have shown that China’s clean energy consumption shall increase rapidly with economic growth and population increase in the next few years.

scholarly journals Knowledge, Attitude, and Adaptation to Climate Change in Ghana

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Stephen T. Odonkor ◽  
Emmanuel Nene Dei ◽  
Anthony M. Sallar
Keyword(s):  
Climate Change ◽  
Natural Disasters ◽  
Sustainable Development Goals ◽  
Fossil Fuel ◽  
Communication Strategy ◽  
Adaptation To Climate Change ◽  
Agricultural Emissions ◽  
Development Goals ◽  
Nationally Representative ◽  
The Government

Climate change is a serious challenge to human existence. It threatens efforts towards the attainment of sustainable development goals and aggravates conditions that lead to health inequities and inequalities for vulnerable populations. The study aimed to investigate knowledge and adaptation to climate change among people in Ghana. A nationally representative survey of Ghanaian adults (N = 674) was conducted from August 1, 2019, to December 31, 2019. Results showed that 43.9% of the respondents understood the meaning of climate change. Respondents perceived the causes of climate change to include burning of fossil fuel, deforestation, natural events such as ocean currents, carbon emission from vehicles and industries, agricultural emissions of nitrous oxide from fertilizers, and an act of God. About 53.1% and 41% of the male and female respondents, respectively, had an encounter with climate change-induced natural disasters. About two out of five respondents (43%) were either afraid or confused about climate change. Distilled or maintained public drainage from waste (30.2%) and clearing drains (25.6%) was the leading adaptation strategies towards climate change-induced natural disasters. Training (30.1%), national radio (27.7%), and television (19.1%) were the preferred leading methods for receipt of global warming information. These findings provide useful insights for policy directions. The government of Ghana and other stakeholders should develop a communication strategy to increase and sustain publicity and education on climate change to the citizenry.

scholarly journals Transferring Sustainability Solutions across Contexts through City–University Partnerships

2018 ◽  
Vol 10 (9) ◽  
pp. 2966 ◽  
Author(s):  
Lauren Withycombe Keeler ◽  
Fletcher Beaudoin ◽  
Amy Lerner ◽  
Beatrice John ◽  
Richard Beecroft ◽  
...  
Keyword(s):  
Climate Change ◽  
Sustainable Development Goals ◽  
University Partnerships ◽  
Development Goals ◽  
The Individual ◽  
Sustainability Challenges ◽  
Context Shapes ◽  
The University ◽  
The City ◽  
Solution Transfer

The urgency of climate change and other sustainability challenges makes transferring and scaling solutions between cities a necessity. However, solutions are deeply contextual. To accelerate solution efforts, there is a need to understand how context shapes the development of solutions. Universities are well positioned to work with cities on transferring solutions from and to other cities. This paper analyses five case studies of city–university partnerships in three countries on transferring solutions. Our analysis suggests that understanding the interest, the action on sustainability, and the individual and collective sustainability competences on the part of the city administration and the university can help facilitate the transfer of sustainability solutions across contexts. We conclude that the nature of the city–university partnership is essential to solution transfer and that new and existing networks can be used to accelerate progress on the 2030 United Nations Sustainable Development Goals.

scholarly journals Achieving global Sustainable Development Goals in Industry 4.0 Context through Collaborative Innovation

2020 ◽  
Author(s):  
Hendro Wicaksono
Keyword(s):  
Sustainable Development ◽  
Industry 4.0 ◽  
Sustainable Development Goals ◽  
Smart Cities ◽  
Clean Energy ◽  
New Paradigm ◽  
Responsible Consumption ◽  
Collaborative Innovation ◽  
Development Goals ◽  
The Government

The sustainable development goals are a set of 17 interlinked objectives set by United Nations General Assembly to achieve a better and sustainable future by 2030. The goals include Affordable and Clean Energy, Industry Innovation and Infrastructure, Sustainable Cities and Communities, and Responsible Consumption and Production. Currently, the industry sector is also transforming to a new paradigm called industry 4.0, which emphasizes the digitalization, interconnection, and intelligence in the frame of the internet of things, services, and people. Technological innovation, which requires interdisciplinary collaborations, is the key for industry and society to play active roles in both contributing to sustainable development goals and industry 4.0 context. The talk will discuss collaborative innovation involving universities, research organizations, large enterprises, SMEs and the government on both strategical and operative levels. It will present the strategy of triple helix innovation model and some collaboration research innovation projects that implement the model. The projects concentrate on the applications of data management and engineering methodologies such as knowledge graphs and machine learning in manufacturing, construction, and smart cities.

scholarly journals Application of the Spatial Autoregressive (SAR) Method in Analyzing Poverty in Indonesia and the Self Organizing Map (SOM) Method in Grouping Provinces Based on Factors Affecting Poverty

2021 ◽  
Vol 1 (2) ◽  
pp. 76-83
Author(s):  
Ulimazzada Islamy ◽  
Afdelia Novianti ◽  
Freditasari Purwa Hidayat ◽  
Muhammad Hasan Sidiq Kurniawan
Keyword(s):  
Social Protection ◽  
The Self ◽  
Self Organizing Map ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Development Goals ◽  
Spatial Autoregressive ◽  
The Government ◽  
Som Clustering ◽  
Self Organizing

The economy is a benchmark to determine the extent of the development of a country. Indonesia, which is now a developing country, is ranked 5th as the poorest country in Southeast Asia. Of course, the government must pay attention because until now, poverty has become one of Indonesia's main problems. Ending poverty everywhere and in all its forms is goal 01 of the Sustainable Development Goals (SDGs) program. One of the efforts that can be done is by planning as part of the implementation of the target, namely eliminating poverty and appropriate social protection for all levels of society so that the SDGs are achieved. Therefore, it is important to do a spatial analysis by making a model of poverty estimation in Indonesia and grouping to identify areas in Indonesia that have the highest poverty mission. The clustering method used in this grouping is Self Organizing Map (SOM). In this study, Spatial Autoregressive (SAR) analysis was used to create a predictive model. This is because poverty is very likely to have a spatial influence or be influenced by location to other areas in the vicinity. The results of the SAR model that can be formed are . Furthermore, the region with the highest mission is grouped using the Self Organizing Map (SOM) clustering based on variables that significantly affect the amount of poverty in Indonesia. From the results of the analysis obtained four clusters, each of which has its characteristics to classify 34 provinces in Indonesia. The clusters formed include cluster 1 consisting of 17 provinces, cluster 2 consisting of 9 provinces, cluster 3 consisting of 1 province, and cluster 4 consisting of 7 provinces.

scholarly journals Increased Fossil Fuel Consumption and Its Impact on Energy Efficiency and Economic Growth

2022 ◽  
Vol 11 (1) ◽  
pp. 188
Author(s):  
Kehinde Damilola Ilesanmi ◽  
Devi Datt Tewari
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Security ◽  
Climate Change Mitigation ◽  
Fossil Fuel ◽  
Clean Energy ◽  
Policy Makers ◽  
Change Mitigation

Energy efficiency improvement is believed to be an effective means of reducing energy consumption thereby reducing green-house gas emission and as well promoting sustainable economic development. Therefore, ascertaining the energy efficiency level will guide policy makers on the right kind policy intervention that will guarantee energy security, climate change mitigation and sustainable growth and development. The study employed a multivariate regression technique to estimation of the impact of a change in the energy structure on aggregate energy efficiency and economic growth. It was revealed in the study that, though an increase usage of fossil fuel is an important factor input for economic growth, however, it is inimical to the efforts aimed at combating climate change. The study also revealed that the marginal efficiency of the energy inputs is important for ensuring increased output as well as sustainable energy supply. Energy efficiency was seen as a mechanism for improving optimal energy utilization. Therefore, improving the level of energy efficiency will significantly assist in providing clean energy coupled with achieving sustainable development goals. This will benefit the nation in terms of ensuring energy security together with climate change mitigation. Policy makers should also focus more on investing in energy efficiency promoting technologies in order to reduce the per capita energy consumption without compromising the economic output level.   Received: 16 June 2021 / Accepted: 7 November 2021 / Published: 3 January 2022

scholarly journals Trade Openness and Urbanization impact on Renewable and Non-Renewable Energy Consumption in China

2021 ◽  
Author(s):  
Jiabin han ◽  
Muhammad Zeeshan ◽  
Irfan Ullah ◽  
Alam Rehman ◽  
Fakhr E Alam Afridi
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Trade Openness ◽  
Renewable Energy Consumption ◽  
Urbanization Effect ◽  
Energy Inputs ◽  
Negative Effect ◽  
Development Goals ◽  
The Government ◽  
Almost All

Abstract This study investigates the trade openness and urbanization effect on renewable and non-renewable energy consumption in China for the period 1990-2018. We apply the Quantile Regression technique for the analysis, our results show that trade significantly increases the non-renewable energy consumption in all quintiles while partially increases renewable energy consumption. This shows that trade activities in production and export commodities heavily rely on non-renewable energy inputs instead of renewable energy inputs. Urbanization affects non-renewable energy consumption only in three quintiles, while its effect is insignificant in most of the quintiles. Similarly, Urbanization does not affect renewable energy consumption as in almost all quantiles the coefficients are statistically insignificant. This implies that urbanization is one of the determinant of energy consumption in China. The empirical findings of this study suggest some policy recommendations; first, the government needs to implement certain regulations while expanding trade to minimize the negative effect of non-renewable energy consumption; besides government should provide incentives to industrial units and traders for using renewable energy which may help to attain long term sustainable development goals.

Morocco sets global pace for renewables

2015 ◽  
Keyword(s):  
Climate Change ◽  
Renewable Energy ◽  
Clean Energy ◽  
Content Type ◽  
Global Force ◽  
Energy Projects ◽  
Generating Capacity ◽  
Electricity Mix ◽  
The Government ◽  
Do So

Subject Morocco renewables. Significance Morocco showcased the progress it has made with the development of renewable energy at the COP21 climate change conference in Paris. At the conference, Morocco pledged to increase the renewable contribution to its electricity mix to 52% by 2030. The government has already set a target of 42% of its electricity generating capacity based on renewables by 2020: 14% each from hydro, wind and solar plants. Impacts Morocco can derive political and diplomatic benefits by projecting itself as a leading global force in developing clean energy. It will have an even better opportunity to do so when it hosts the COP22 meeting in Marrakech in November 2016. Morocco's renewable energy projects have been underpinned by subsidies, but these are likely to diminish as costs fall. Depending on technology, Morocco could export electricity generated from renewables to Europe and countries in north and west Africa.

Sign in / Sign up

Export Citation Format

Share Document