Synergies between Sustainable Farming, Green Technology, and Energy Policy for Carbon-Free Development
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A101298" target="_blank" >RIV/60460709:41110/24:101298 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/2077-0472/14/7/1078" target="_blank" >https://www.mdpi.com/2077-0472/14/7/1078</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/agriculture14071078" target="_blank" >10.3390/agriculture14071078</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Synergies between Sustainable Farming, Green Technology, and Energy Policy for Carbon-Free Development
Popis výsledku v původním jazyce
This study addresses the integration of agricultural practices, technological innovations, and energy policies to achieve carbon neutrality in Mardan, Pakistan. A cross-sectional design was employed, collecting data from 400 stakeholders using stratified random sampling. The analysis involved descriptive statistics, correlation analysis, structural equation modeling (SEM), Chi-square tests, and multiple regression analysis to explore the relationships between agricultural sustainability practices (ASPs), green technology implementation (GTI), energy policy measures (EPMs), and carbon-free development (CFD). The findings indicate strong positive correlations between ASPs, GTI, EPMs, and CFD, with a relatively high positive correlation coefficients. SEM path coefficients further confirmed the significant positive effects of ASPs on CFD. It is concluded that integrating sustainable farming practices, green technologies, and effective energy policies significantly advances carbon-free development in Mardan. Policymakers should prioritize promoting sustainable farming, investing in green technologies, and implementing robust energy policies with subsidies for renewable energy and carbon pricing mechanisms to foster carbon-neutral development.
Název v anglickém jazyce
Synergies between Sustainable Farming, Green Technology, and Energy Policy for Carbon-Free Development
Popis výsledku anglicky
This study addresses the integration of agricultural practices, technological innovations, and energy policies to achieve carbon neutrality in Mardan, Pakistan. A cross-sectional design was employed, collecting data from 400 stakeholders using stratified random sampling. The analysis involved descriptive statistics, correlation analysis, structural equation modeling (SEM), Chi-square tests, and multiple regression analysis to explore the relationships between agricultural sustainability practices (ASPs), green technology implementation (GTI), energy policy measures (EPMs), and carbon-free development (CFD). The findings indicate strong positive correlations between ASPs, GTI, EPMs, and CFD, with a relatively high positive correlation coefficients. SEM path coefficients further confirmed the significant positive effects of ASPs on CFD. It is concluded that integrating sustainable farming practices, green technologies, and effective energy policies significantly advances carbon-free development in Mardan. Policymakers should prioritize promoting sustainable farming, investing in green technologies, and implementing robust energy policies with subsidies for renewable energy and carbon pricing mechanisms to foster carbon-neutral development.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Agriculture-BASEL
ISSN
2077-0472
e-ISSN
2077-0472
Svazek periodika
14
Číslo periodika v rámci svazku
7
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
39
Strana od-do
1-39
Kód UT WoS článku
001276717700001
EID výsledku v databázi Scopus
2-s2.0-85199637546