Internal and External Factors Influencing Rural Households’ Investment Intentions in Building Photovoltaic Integration Projects DOI Creative Commons
Linghui Li, Chunyan Dai

Energies, Journal Year: 2024, Volume and Issue: 17(5), P. 1071 - 1071

Published: Feb. 23, 2024

Building integrated photovoltaics (BIPV) contributes to promoting green and low-carbon transformation in rural areas. In order better guide households invest BIPV projects promote the goal of “carbon neutrality” China’s building sector, this study integrates theory planned behavior (TPB), social cognitive (SCT), PEST analysis framework. It constructs a theoretical model from perspective “External Factors-Internal Psychology-Investment Intention” investigate households’ investment intentions toward their influencing factors. Basic data were collected 488 valid questionnaires Henan Province, was empirically tested using structural equation modeling. The results show that constructed both internal external factors effectively explains (II) (R2 = 0.89), with attitude (IA) being strongest psychological motivation leading II. All four factors—policy, economic, social, technological—positively influence II diminishing effects. Additionally, policy factor has most significant effect on IA, while economic more prominent perceived behavioral control (PBC), technological relatively weaker two Furthermore, indirectly through IA PBC, mediating higher than PBC. Based findings, proposes effective suggestions enhance projects.

Language: Английский

How Does Information Literacy Influence Farmers’ Green Production Behaviors: Evidence from Rice Farmers in China? DOI
Dayu Cao,

Qiang Xie,

Yan Zheng

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Understanding Ethiopian farmers' intention to adopt biofortified orange-flesh sweet potatoes DOI

Lidya Samuel,

Márcia Dutra de Barcellos, Mulugeta D. Watabaji

et al.

British Food Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Purpose Biofortification is a promising strategy for addressing malnutrition and food insecurity by enriching staple crops with nutrients. However, farmers’ adoption crucial their success. This study aims to shed light on Ethiopian farmers' intentions adopt biofortified orange-fleshed sweet potatoes (OFSP) using the motivation, opportunity ability (MOA) framework. Design/methodology/approach used data from cross-sectional survey of 370 potato farmers in Ethiopia. Binary logistic regression analysis was employed examine factors influencing intention OFSP. Findings Ability-, motivation- opportunity-related significantly influenced intention. Specifically, knowledge OFSP benefits, production skills, crop characteristics access institutional services positively influences adoption. farming experience has negative effect. Practical implications These findings emphasize importance educating about OFSP’s high vitamin A content favourable agronomic features. Additionally, understanding experiences enhancing skills are increasing rates. Targeted educational programs support can address these gaps deficiencies. Originality/value first analyse an MOA It offers novel approach complex interplay psychological that influence intentions. Furthermore, this provides valuable insights into context, filling gap literature. contribute development targeted strategies promoting Ethiopia other similar global contexts.

Language: Английский

Citations

0

Influence of Internet Use on Farmers' Low‐Carbon Production Practices: The Mediating Role of Capital Endowment DOI Open Access
Zhong Ren

Rural Sociology, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Abstract Popularizing low‐carbon production practice (LCPP) is essential for addressing climate change and achieving sustainable agricultural development. However, farmers' engagement in such practices remains suboptimal. The impact of the Internet, as a facilitative tool network economy era, has not been comprehensively explored. Utilizing survey data from 595 grain growers China, this study employs Poisson model to assess direct effect, heterogeneity, mechanism Internet use on LCPP among farmers. First, analysis reveals positive correlation between LCPP; specifically, each unit increase boosts likelihood engaging by 3.6 percentage points. Second, effect more pronounced new‐generation farmers, those large‐scale operations, economically developed villages. Third, enhances improving capital endowment, including cultural, social, economic capital. Consequently, government should enhance rural information infrastructure provide training help farmers build endowment promote LCPP.

Language: Английский

Citations

0

Exploring Determinants of Environmentally Responsible Behavior in a Megaproject: The Influence of Institutional Norms and Contractors’ Perception DOI

Shuhui Gao,

Zhao Zhai, S. L. Tang

et al.

ICCREM 2021, Journal Year: 2025, Volume and Issue: unknown, P. 1566 - 1574

Published: March 26, 2025

Language: Английский

Citations

0

Internal and External Factors Influencing Rural Households’ Investment Intentions in Building Photovoltaic Integration Projects DOI Creative Commons
Linghui Li, Chunyan Dai

Energies, Journal Year: 2024, Volume and Issue: 17(5), P. 1071 - 1071

Published: Feb. 23, 2024

Building integrated photovoltaics (BIPV) contributes to promoting green and low-carbon transformation in rural areas. In order better guide households invest BIPV projects promote the goal of “carbon neutrality” China’s building sector, this study integrates theory planned behavior (TPB), social cognitive (SCT), PEST analysis framework. It constructs a theoretical model from perspective “External Factors-Internal Psychology-Investment Intention” investigate households’ investment intentions toward their influencing factors. Basic data were collected 488 valid questionnaires Henan Province, was empirically tested using structural equation modeling. The results show that constructed both internal external factors effectively explains (II) (R2 = 0.89), with attitude (IA) being strongest psychological motivation leading II. All four factors—policy, economic, social, technological—positively influence II diminishing effects. Additionally, policy factor has most significant effect on IA, while economic more prominent perceived behavioral control (PBC), technological relatively weaker two Furthermore, indirectly through IA PBC, mediating higher than PBC. Based findings, proposes effective suggestions enhance projects.

Language: Английский

Citations

3