scholarly journals HUBUNGAN SIKAP, NORMA SUBYEKTIF DAN PERSEPSI KENDALI PERILAKU TERHADAP NIAT KTH DALAM BUDIDAYA TANAMAN ENERGI DI YOGYAKARTA

2021 ◽  
Vol 9 (3) ◽  
pp. 252
Author(s):  
Adi Nugroho ◽  
Ahdiar Fikri Maulana ◽  
Singgih Utomo ◽  
Silvi Nur Oktalina ◽  
Prasetyo Nugroho ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Production ◽  
Subjective Norms ◽  
Behavioural Control ◽  
Online Questionnaire ◽  
Perceived Behavioural Control ◽  
Community Forests ◽  
Forestry Sector ◽  
Renewable Energy Production ◽  
Climate Crisis

Energy policy in the world has changed due to the climate crisis. As a result, the need for renewable energy supply is increasing. Trees in the forestry sector are a reliable source of biomass for renewable energy production. Community forests could play an important role in supplying biomass-based renewable energy production. The study aims to understand the attitude, subjective norms, and perceived behavioural control on Farmers Forest Group's intention in cultivating trees for energy in Yogyakarta Province. The Theory of Planned Behaviour approach was used to analyse the correlation between Attitudes, Subjective Norms, and Perceived Behavioural Control on Forest Farmers Group Intention in cultivating trees for renewable energy. A survey using an online questionnaire was conducted on Forest Farmers Groups in four districts in DI Yogyakarta; Sleman, Kulonprogo, Bantul, and Gunungkidul. The survey results were analysed using non-parametric statistics.The results showed a significant positive correlation between Attitudes, Subjective Norms, and Perceived Behavioural Control on the Forest Farmers Group's Intention to cultivate trees for renewable energy. The study provides policymakers and privates with insight into working with the farmers when they are about to implement biomass-based renewable energy programs

scholarly journals Pengaruh Subjective Norm, Attitude dan Perceived Behavioural Control terhadap Intention to Use Parkir Elektronik

Owner ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 319-328
Author(s):  
Indriati Rochmah Darmayanti ◽  
Muhammad Wisnu Girindratama
Keyword(s):  
Significant Influence ◽  
Sampling Technique ◽  
Subjective Norms ◽  
Behavioural Control ◽  
Primary Data ◽  
P Value ◽  
Perceived Behavioral Control ◽  
Intention To Use ◽  
Online Questionnaire ◽  
Perceived Behavioural Control

The purpose of this study was to determine and analyze the influence of subjective norms on the intention to use electronic parking, to find out and analyze the influence of attitudes toward intention to use electronic parking and to determine and analyze the effect of perceived behavioural control on the intention to use electronic parking. The approach used in this research is a quantitative approach. The data used are primary data with the questions that are asked in the online questionnaire, which is distributed to the population of Surabaya city residents in 2020. Respondents obtained were as many as 60 people, consisting of 27 men and 33 women. The sampling technique uses accidental sampling technique. The analysis technique used in this research is quantitative data analysis with a multiple linear regression statistical approach. In processing data, research uses warpPLS 6.0 software. The findings show that: (1) Subjective norms have a significant influence on the intention to use electronic parking (? = 0,271; p-value = 0,012). (2) Attitudes have a significant influence on the intention to use electronic parking (?= 0,293; p-value = 0,007). (3) Perceived Behavioral Control has a significant influence on the intention to use electronic parking (?= 0,503; p-value < 0,001).

scholarly journals Modelling the Factors That Predict the Intention to Take COVID-19 Vaccine in Nigeria

2022 ◽  
pp. 002190962110696
Author(s):  
Oberiri Destiny Apuke ◽  
Elif Asude Tunca
Keyword(s):  
Sampling Technique ◽  
Subjective Norms ◽  
Behavioural Control ◽  
Snowball Sampling ◽  
Online Questionnaire ◽  
Health Motivation ◽  
Perceived Susceptibility ◽  
Negatively Associated ◽  
Perceived Behavioural Control ◽  
Snowball Sampling Technique

This study developed a model that predicted factors that prompt the intention to take the COVID-19 vaccine among Nigerians. Data were collected from 385 respondents across Nigeria using snowball sampling technique with online questionnaire as instrument. Results indicated that cues to action, health motivation, subjective norms, and perceived behavioural control positively predicted the intention to take COVID-19 vaccine in Nigeria. However, perceived susceptibility, severity, and COVID-19 vaccine benefits did not predict the intention to take the COVID-19 vaccine. Further findings showed that COVID-19 vaccine barrier and attitude was negatively associated with the intention to take the COVID-19 vaccine.

scholarly journals Assessing Renewable Energy Production Capabilities Using DEA Window and Fuzzy TOPSIS Model

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 334 ◽  
Author(s):  
Chia-Nan Wang ◽  
Thanh-Tuan Dang ◽  
Hector Tibo ◽  
Duy-Hung Duong
Keyword(s):  
United States ◽  
Renewable Energy ◽  
Total Energy ◽  
United Arab Emirates ◽  
Energy Production ◽  
Evaluation Method ◽  
Scale Up ◽  
Renewable Energy Resources ◽  
Population Total ◽  
Renewable Energy Production

Climate change and air pollution are among the key drivers of energy transition worldwide. The adoption of renewable resources can act as a peacemaker and give stability regarding the damaging effects of fossil fuels challenging public health as well as the tension made between countries in global prices of oil and gas. Understanding the potential and capabilities to produce renewable energy resources is a crucial pre-requisite for countries to utilize them and to scale up clean and stable sources of electricity generation. This paper presents a hybrid methodology that combines the data envelopment analysis (DEA) Window model, and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) in order to evaluate the capabilities of 42 countries in terms of renewable energy production potential. Based on three inputs (population, total energy consumption, and total renewable energy capacity) and two outputs (gross domestic product and total energy production), DEA window analysis chose the list of potential countries, including Norway, United Kingdom, Kuwait, Australia, Netherlands, United Arab Emirates, United States, Japan, Colombia, and Italy. Following that, the FTOPSIS model pointed out the top three countries (United States, Japan, and Australia) that have the greatest capabilities in producing renewable energies based on five main criteria, which are available resources, energy security, technological infrastructure, economic stability, and social acceptance. This paper aims to offer an evaluation method for countries to understand their potential of renewable energy production in designing stimulus packages for a cleaner energy future, thereby accelerating sustainable development.

scholarly journals Retraction: Codani, P., et al. Coupling Local Renewable Energy Production with Electric Vehicle Charging: A Survey of the French Case. World Electr. Veh. J. 2015, 7, 489–499

2021 ◽  
Vol 12 (1) ◽  
pp. 49
Author(s):  
Keyword(s):  
Renewable Energy ◽  
Electric Vehicle ◽  
Energy Production ◽  
Electric Vehicle Charging ◽  
Renewable Energy Production ◽  
French Case ◽  
Vehicle Charging

The journal retracts the article, ”Coupling Local Renewable Energy Production with Electric Vehicle Charging: A Survey of the French Case” [...]

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