Influencing Factors of Commercial Energy Consumption Intention of Rural Residents: Evidence from Rural Chengdu

Jiang, Aichun; Zhong, Qian; Yan, Wei; Ao, Yibin; Chen, Chuan

doi:10.3390/en14041010

Cited by 12 publications

(11 citation statements)

References 21 publications

(31 reference statements)

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“…Furthermore, our study identified a significant positive relationship between behavioral intention and actual behavior, supporting the notion that intention serves as a reliable predictor of subsequent behavior. This finding aligns with previous studies on environmental conservation behaviors ( Zhong et al, 2019 ; Jiang et al, 2021 ; Baghernejad et al, 2023 ) and underscores the relevance of understanding and targeting individuals’ intentions to promote their engagement in forest management activities.…”

Section: Discussionsupporting

confidence: 90%

Participatory intention and behavior towards riparian peri-urban forests management; an extended theory of planned behavior application

Maleknia,

ChamCham

2024

Front. Psychol.

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IntroductionPeri-urban forests paly crucial role in quality of life and environment for citizens. To effectively utilize the services provided by these forests, it is essential to establish an integrated forest management system that aims to achieve a balance of all ecosystem services. This can be accomplished through a participatory approach that involves key citizen stakeholders. Mountaineers shape a specific group which have showed high pro-environmental behaviors to protect natural resources. This research aimed to examine the influencing factors on mountaineers’ intention to participate and their actual behavior in the management of riparian peri-urban forests in this field using extended theory of planned behavior.MethodsEnvironmental values and perceived barriers were added to original model as additional components to enhance its explanatory power. A sample size of 416 individuals was surveyed using a questionnaire. Data was analyzed using Smart-PLS.ResultsThe findings of the analysis revealed that the developed model accounted for 75.2% of the variance in mountaineers’ intention and 67.8% of behavior. The results demonstrated that three main components of model including attitudes, subjective norms and perceived behavioral control significantly influenced individuals’ intentions to participate in peri-urban forests management. Furthermore, intentions were cleared to have a positive influence on actual behavior in this context. Additionally, environmental values were found to be positively correlated with individuals’ intentions but not statistically significant behavior toward participate in urban forest management. Perceived barriers were found to have a negative impact on individuals’ intentions toward participate in urban forest management. The perceived barriers and behavior had not statistically significant relationship.ConclusionThe results of study provide valuable insights for the development of effective management strategies to promote mountaineers’ participation in riparian PUFs management. The study emphasizes the importance of environmental education and awareness campaigns targeted at mountaineers.

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Section: Discussionsupporting

confidence: 90%

Participatory intention and behavior towards riparian peri-urban forests management; an extended theory of planned behavior application

Maleknia,

ChamCham

2024

Front. Psychol.

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“…Model 1 in Table 3 shows the return outcome of whether the household head had college education or above as the basis for grouping; it can be seen from the results that the off-farm employment of the labor force under the two groups was both significantly related to the use of clean energy for farmers' cooking; however, it is noted that LOE for farmers with college education and below was more obvious in promoting the use of CCE (2.229 > 0.853). The possible reasons are that the education level of the household head affects the family's energy consumption understanding, environmental protection awareness, and health awareness, which leads to differences in the use of clean energy [63]. For the farmers whose household head education level was university or above, the highly educated family's ideas and consumption understanding had been greatly influenced, so the LOE was not a great way to improve their consumption understanding.…”

Section: Heterogeneity Analysismentioning

confidence: 99%

Labor Off-Farm Employment and Farmers’ Cooking Clean Energy Use: Evidence from Rural China

et al. 2022

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(Motivation) With the transfer of labor force and the continuous improvement of household income, the household energy consumption structure is also changing. (Gaps) However, few studies have explored the correlations between labor off-farm employment (LOE) and farmers’ cooking clean energy (CCE) consumption. (Methodologies) Using survey data of 8198 farmers in 27 provinces from China’s labor dynamic survey in 2016, the IV-Probit model was used to analyze the impact of LOE on CCE use, and the mediation effect model was used to examine the specific mechanism of action between them. (Results) The results found that: (1) LOE accounted for about 39%, and farmers’ utilization rate of CCE accounted for 40%. (2) LOE has significantly promoted the use of CCE by farmers, and this action mechanism is mainly realized through three paths, that is, per capita annual cash income, social relationship network, and family population structure. (3) The heterogeneity analysis results showed that the head of the household having a university education or above, the family being located in rural areas and mountainous areas, and LOE will have a greater positive impact on the farmers’ CCE use. (Policy) From the micro perspective of LOE, this study can deepen our understanding of LOE and CCE use decisions, and then provide a reference for the rational allocation of labor resources and farmers’ CCE-related policy formulation.

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“…For example, Zi et al (2021) found that “gas + electricity” has become a common cooking energy combination mode in rural areas of Henan Province, with 33% of farmers using this combination of energy for cooking [ 16 ]. Jiang et al (2021) found that subjective norms, perceived behavioral control and habits have significant impacts on residents’ behavioral intentions [ 17 ]. Ma et al (2019) found that off-farm income promoted the change in the energy structure of farmers, significantly increasing the use of electricity and natural gas and reducing the use of traditional biomass energy [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Structure and Influencing Factors of Farmers in China from the Perspective of Labor Transfer

Chen

Zhou

et al. 2023

IJERPH

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Under the background of carbon peak and carbon neutralization, the transformation and upgrading of energy consumption structure is crucial to achieve sustainable environmental development. Based on the questionnaire data of 1080 farmers in Sichuan province in 2021, the IV-Probit model was used to explore the impact of labor from off-farm employment on farmers’ energy consumption structure and its specific mechanism. The results show the following: (1) the overall proportion of off-farm employment is not high, only 23%; in cooking energy, the most farmers use high-quality energy, accounting for up to 94%; (2) in addition to high-quality energy, off-farm employment of labor force is positively and significantly correlated with the remaining six types of energy consumption structure. The results of a heterogeneity analysis show that the proportion of off-farm employment of farmers with a high education level and above has the greatest positive effect on the use of high-quality energy; (3) the results of the mediating effect show that the off-farm employment can affect the energy consumption structure of farmers through the two paths of annual cash income and population structure.

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Influencing Factors of Commercial Energy Consumption Intention of Rural Residents: Evidence from Rural Chengdu

Cited by 12 publications

References 21 publications

Participatory intention and behavior towards riparian peri-urban forests management; an extended theory of planned behavior application

Participatory intention and behavior towards riparian peri-urban forests management; an extended theory of planned behavior application

Labor Off-Farm Employment and Farmers’ Cooking Clean Energy Use: Evidence from Rural China

Energy Consumption Structure and Influencing Factors of Farmers in China from the Perspective of Labor Transfer

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