Do general pro-environmental behaviour, attitude, and knowledge contribute to energy savings and climate change mitigation in the residential sector?

Jakučionytė-Skodienė, Miglė; Dagiliūtė, Renata; Liobikienė, Genovaitė

doi:10.1016/j.energy.2019.116784

Cited by 58 publications

(26 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Este escenario demanda a disciplinas como la educación, la psicología y en general a las ciencias sociales nuevas investigaciones sobre la relación humano-medio ambiente (Pavlova, 2013;Steg & Vlek, 2009;Vicente-Molina, Fernández-Sainz, & Izagirre-Olaizola, 2018), que contribuyan al análisis de comportamientos, saberes, hábitos y conocimientos que promuevan conductas cotidianas más saludables y ecológicas (Jakučionytė-Skodienė, Dagiliūtė, & Liobikienė, 2020;Oskamp, 2000;Pasquali, 2014;Saldaña-Almazán et al, 2020).…”

Section: Introductionunclassified

Comportamiento proambiental y conocimiento ambiental en universitarios: ¿el área de conocimiento hace la diferencia?

Quintero¹,

Sierra‐Barón²,

Acosta³

2020

CES Psico

View full text Add to dashboard Cite

Los avances científicos, tecnológicos y los modelos de desarrollo social y económico actuales ponen de manifiesto la influencia negativa del ser humano sobre el medio ambiente. La educación universitaria resulta indispensable para la difusión de conocimientos y promoción de comportamientos más solidarios y menos perjudiciales con el medio ambiente. La presente investigación tuvo como objetivo determinar la relación del conocimiento ambiental (CA) y el comportamiento proambiental (CPA) de estudiantes universitarios y su manifestación según las áreas de conocimiento, en una institución de educación superior en Colombia. Se realizó un estudio comparativo con diseño transversal, utilizando un muestreo dirigido, conformado por 991 estudiantes de diferentes carreras universitarias. Se aplicó el Índice de Comportamiento Proambiental (ICP) que evalúa creencias, normas subjetivas e intención de comportamiento proambiental y la Escala Diagnóstica de Conocimiento Ambiental para Latinoamérica (ECLA) que evalúa conocimiento del sistema, de las acciones, de la efectividad, y de problemas ambientales. Se evidenciaron asociaciones positivas y significativas entre el CA y las escalas del ICP; y se encontraron diferencias significativas según las diferentes áreas de conocimiento (p< .05). Los estudiantes de Ciencias Sociales y Humanas presentaron mayores puntajes en CA y CPA respecto a los de otras áreas. Se concluye que los estudiantes poseen creencias, actitudes y acciones positivas hacia el medioambiente, no obstante, su nivel de CA es bajo. Las universidades cuentan con el reto de promover una formación que impacte en el bienestar humano-ambiente.

show abstract

Section: Introductionunclassified

Comportamiento proambiental y conocimiento ambiental en universitarios: ¿el área de conocimiento hace la diferencia?

Quintero¹,

Sierra‐Barón²,

Acosta³

2020

CES Psico

View full text Add to dashboard Cite

show abstract

“…This condition is possible because low family savings must be allocated to many family members (Ettman, Cohen, & Galea, 2020). Large family size is also closely related to large energy consumption, so it significantly affects expenses incurred by the family (Jakučionytė-Skodienė, Dagiliūtė, & Liobikienė, 2020). Specifically, a study in Nigeria informs that local people who choose to work in agriculture decide to have a small family size.…”

Section: Discussionmentioning

confidence: 99%

The Factors Correlate to Family Size in Indonesia

Laksono¹,

Wulandari

2021

aspirasi

View full text Add to dashboard Cite

Some tribes in Indonesia have a big family culture. The study aimed to analyze factors that correlate to family size in Indonesia. The study employed secondary data from the 2017 Indonesia’s Demographic and Health Survey. The samples used were 34,353 childbearing age couples. The variables analyzed included type of residence, wealth, marital, cohabitation duration, complete child gender, contraceptive, age of husband-wife, education of husband-wife, and occupation of husband-wife. Final test by binary logistic regression. The results show that couples in urban areas are less likely to have a family size ≤ 4 than couples who live in rural areas. The better the wealth status, the higher the possibility to have a family size ≤ 4. The longer the cohabitation period, the lower the possibility of having a family size ≤ 4. Couples who already have complete child gender were 0.148 times more likely to have a family size < 4 than couples with incomplete child gender. The contraceptives use has a probability of 0.727 times more than those not using it to have a family size ≤ 4. The husband with primary education was 1.242 times more likely than the husband with no education to have a family size ≤ 4. The study found that a wife’s age correlated to family size. Couples with employed wives were 1.273 times more likely than those not employed to have a family size ≤ 4. The study concluded that eight variables correlated to family size among childbearing age couples in Indonesia: residence, wealth, cohabitation duration, complete child gender, contraceptive use, husband’s education, wife’s age, and wife’s employment. AbstrakBeberapa suku di Indonesia memiliki budaya keluarga besar yang sangat kuat. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang berkorelasi dengan ukuran keluarga di Indonesia. Studi memanfaatkan data sekunder dari Survei Demografi dan Kesehatan Indonesia tahun 2017. Sampel yang digunakan adalah 34.353 pasangan usia subur. Variabel yang dianalisis meliputi jenis tempat tinggal, kekayaan, perkawinan, lama kohabitasi, kelengkapan jenis kelamin anak, kontrasepsi, umur suami-istri, pendidikan suami-istri, dan pekerjaan suami-istri. Pengujian akhir dengan regresi logistik biner. Hasilnya menunjukkan pasangan di daerah perkotaan lebih kecil kemungkinannya untuk memiliki ukuran keluarga ≤ 4 dibandingkan pasangan yang tinggal di daerah pedesaan. Semakin baik status kekayaannya maka semakin tinggi kemungkinan memiliki ukuran keluarga ≤ 4. Semakin lama kohabitasi maka semakin kecil kemungkinan memiliki ukuran keluarga ≤ 4. Pasangan yang sudah memiliki jenis kelamin anak lengkap kemungkinannya 0,148 kali dibandingkan dengan yang tidak lengkap untuk memiliki ukuran keluarga ≤ 4. Pemakaian alat kontrasepsi memiliki probabilitas 0,727 kali lipat dibandingkan dengan yang tidak menggunakannya untuk memiliki ukuran keluarga ≤ 4. Suami yang berpendidikan dasar 1,242 kali lebih mungkin untuk memiliki ukuran keluarga ≤ 4 dibanding keluarga dengan suami tidak berpendidikan. Usia istri menjadi faktor penentu ukuran keluarga. Pasangan dengan istri yang bekerja 1,273 kali lebih mungkin dibandingkan mereka yang tidak bekerja untuk memiliki ukuran keluarga ≤ 4. Hasil penelitian menyimpulkan bahwa delapan variabel merupakan faktor-faktor yang memengaruhi ukuran keluarga pada pasangan usia subur di Indonesia. Delapan faktor tersebut adalah jenis tempat tinggal, status kekayaan, lama kohabitasi, jenis kelamin anak lengkap, penggunaan kontrasepsi, pendidikan suami, usia istri, dan status pekerjaan istri.

show abstract

“…To take into account the preferences for greener policy management, we included the percentage of the female population as a proxy of environmental awareness in the "demographic" group. It has been pointed out [45,58,59], for instance, that women show higher environmental concern and awareness about ecological issues than men. Because of their functions in households, women should be the primary beneficiaries of aid and measures to improve living conditions.…”

Section: Datamentioning

confidence: 99%

How Do Energy Use and Climate Change Affect Fast-Start Finance? A Cross-Country Empirical Investigation

et al. 2020

View full text Add to dashboard Cite

To promote the sustainable development of developing countries through the reduction of greenhouse gas emissions and the impact of anthropogenic activity on the atmosphere, for some decades, developed countries and international institutions provided an increasing amount of climate financing tools, allocated through multiple channels. After the Copenhagen Conference of the Parties (COP15) held in 2009, developed country parties pledged to provide new and additional resources, including forestry and investments, approaching USD 30 billion for the period 2010–2012 and with balanced allocation between mitigation and adaptation. This collective commitment has come to be known as “Fast-start Finance” (FSF). To assess the key factors contributing to the amount and distribution of funding supporting projects using FSF, in this paper, we investigate the relationship between FSF, energy use, and greenhouse gas emissions. To this aim, two main analyses were carried out: (i) a qualitative examination of donor’s funding strategies and (ii) a quantitative analysis deepening the relationship between climate finance and greenhouse gas emissions by beneficiaries through a quantile regression model. Findings indicate a need to redesign the current aid scheme, and suggest an increasing need for financed projects to support sustainable economic innovation patterns of developing countries while paying close attention to the environmental policy context. The purpose was to provide useful feedback to policymakers to assess the effectiveness of the flow of funding for environmental plans and to avoid excessive aid dispersal and consequently a reduction of the FSF benefits.

show abstract

Do general pro-environmental behaviour, attitude, and knowledge contribute to energy savings and climate change mitigation in the residential sector?

Cited by 58 publications

References 56 publications

Comportamiento proambiental y conocimiento ambiental en universitarios: ¿el área de conocimiento hace la diferencia?

Comportamiento proambiental y conocimiento ambiental en universitarios: ¿el área de conocimiento hace la diferencia?

The Factors Correlate to Family Size in Indonesia

How Do Energy Use and Climate Change Affect Fast-Start Finance? A Cross-Country Empirical Investigation

Contact Info

Product

Resources

About