Sustainability | Free Full-Text | Do Personal Norms Predict Citizens’ Acceptance of Green Transport Policies in China

0
10


With a purpose to remedy the environmental issues attributable to the growing non-public automobile use in China, akin to transport power consumption, visitors congestion, and air air pollution, many coverage measures together with automobile buy taxes, restrictions on automobile use within the metropolis heart, and incentives to advertise electrical autos have been developed. By taking Hangzhou, a low-carbon metropolitan metropolis in China, as an illustrative instance, inexperienced transport insurance policies have been proactively applied to be able to flip the metropolitan metropolis into an ecologically livable metropolis. Nonetheless, residents’ acceptance of complete inexperienced transport insurance policies has seldom been studied and explored, which is definitely fairly invaluable info for implementing and assessing the effectiveness of inexperienced transport insurance policies. This examine presents a brand new built-in framework by extending the worth perception norm (VBN) principle to be able to discover the inner elements for predicting residents’ acceptance of complete inexperienced transport insurance policies and different pro-environmental behaviors within the transport area. A survey on automobile use discount was performed amongst residents in Hangzhou and a quantitative evaluation was carried out utilizing a structural equation mannequin (SEM) technique. Outcomes present that private norms can efficiently predict residents’ acceptance of pull insurance policies for lowering automobile use, whereas is much less able to predicting that of push ones. The theoretical implications of various pro-environmental behaviors are defined. This evaluation could encourage coverage makers to implement acceptable insurance policies to encourage the general public to make use of low-carbon transport in each day life.
View Full-Text


Show Figures



Source link

LEAVE A REPLY

Please enter your comment!
Please enter your name here