A PLS-SEM approach to determine farmers’ awareness about climate change mitigation and adaptation strategies: pathway toward sustainable environment and agricultural productivity

His research investigates the interplay among investment in Information and Communication Technology [ICT], digital financial inclusion, environmental tax policies, and their impact on the progression of sustainable energy development within the Middle East and North Africa [MENA] region. Recognizing the distinctive hurdles impeding sustainable energy advancement, effective policy formulation and implementation in MENA necessitate a comprehensive understanding of these variables. Employing a Dynamic Common Correlated Effects [DCE] model alongside an instrumental variable-adjusted DCE approach, this study explores the relationship between ICT investment, digital financial inclusion, environmental tax, and sustainable energy development. The DCE model facilitates the analysis of dynamic effects and potential correlations, while the instrumental variable-adjusted DCE model addresses issues pertaining to endogeneity. The results indicate that both ICT investment and the promotion of digital financial inclusion significantly and positively impact sustainable energy development in the MENA region. Additionally, the study underscores the importance of environmental tax implementation in fostering sustainable energy advancement, highlighting the critical role of environmental policy interventions. Based on these findings, governmental prioritization of ICT investment and initiatives for digital financial service integration is recommended to bolster sustainable energy growth in MENA. Furthermore, the adoption of efficient environmental tax measures is essential to incentivize sustainable energy practices and mitigate environmental degradation. These policy recommendations aim to create a conducive environment for sustainable energy progression in the MENA region, contributing to both economic prosperity and environmental conservation.

Section: Discussion Of the Study Findingsmentioning

confidence: 99%

The role of ICT investment, digital financial inclusion, and environmental tax in promoting sustainable energy development in the MENA region: Evidences with Dynamic Common Correlated Effects (DCE) and instrumental variable-adjusted DCE

Xiangling,

Qamruzzaman

2024

“…Fifth, VB-SEM easily handles reflective, formative measurement models, and more complex models [ 71 ]. Finally, over the past decade, VB-SEM has been commonly applied in consumer behavior research, such as research on supply chain management [ 72 ], environment management [ 73 ], education management [ 74 ], hotel management [ 75 ], and marketing management [ 76 ]. Therefore, this study applied VB-SEM to perform data analysis.…”

Section: Methodsmentioning

confidence: 99%

Understanding consumers’ intentions to purchase smart clothing using PLS-SEM and fsQCA

Chen,

2023

With the advancement of artificial intelligence (AI) and the Internet of Things (IoT), smart clothing, which has enormous growth potential, has developed to suit consumers’ individualized demands in various areas. This paper aims to construct a model that integrates that technology acceptance model (TAM) and functionality-expressiveness-aesthetics (FEA) model to explore the key factors influencing consumers’ smart clothing purchase intentions (PIs). Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the data, complemented by fuzzy-set qualitative comparative analysis (fsQCA). The PLS-SEM results identified that the characteristics of functionality (FUN), expressiveness (EXP), and aesthetics (AES) positively and significantly affect perceived ease of use (PEOU), and only EXP affects perceived usefulness (PU). PU and PEOU positively impact consumers’ attitudes (ATTs). Subsequently, PU and consumers’ ATTs positively influence PIs. fsQCA revealed the nonlinear and complex interaction effects of the factors influencing consumers’ smart clothing purchase behaviors and uncovered five necessary and six sufficient conditions for consumers’ PIs. This paper furthers theoretical understanding by integrating the FEA model into the TAM. Additionally, on a practical level, it provides significant insights into consumers’ intentions to purchase smart clothing. These findings serve as valuable tools for corporations and designers in strategizing the design and promotion of smart clothing. The results validate theoretical conceptions about smart clothing PIs and provide useful insights and marketing suggestions for smart clothing implementation and development. Moreover, this study is the first to explain smart clothing PIs using symmetric (PLS-SEM) and asymmetric (fsQCA) methods.

“…The results of this study can provide empirical evidence for the government to formulate relevant policies. Sohail et al [49] investigated the relationship between the educational level of agricultural workers and their response to environmental risks by means of PLS-SEM statistical analysis, and the study showed that education may, to some extent, influence farmers' strategies for adapting to environmental change. Some scholars have also analyzed the asymmetric effect of economic policy uncertainty on green growth in highly polluting economies over the period 1994-2020 through the CS-ARDL model, suggesting that the government must consider the issue of economic policy uncertainty when formulating green growth policies [50].…”

Section: Introductionmentioning

confidence: 99%

Sustainable development of environmental protection talents training: Research on the behavior decision of government, university and enterprise under the background of evolutionary game

Wang,

Tan,

Zhan

et al. 2024

Environmental protection talents training (EPTT) is recognized as a key prerequisite for maintaining environmental sustainability, and in order to study the influence of each player on EPTT. This paper innovatively constructs a tripartite evolutionary game model of government, university and enterprise. The equilibrium points and evolutionary stabilization strategies of each participant are solved by replicating the dynamic equations, and the behaviors of each subject in EPTT are analyzed so as to clarify the behavioral characteristics and optimal strategies of the government’s participation in EPTT. The results show that enterprises occupy a more important position in influencing government decisions. The government should reduce the financial incentives for enterprises and replace them with greater policy support. Meanwhile, the government should actively promote the cultivation mechanism that integrates universities and enterprises. The results of the study can provide a decision-making basis for the government to promote the sustainable development of EPTT.