With the severe plastic pollution issue worldwide, restrictions or bans on plastic bags have become the most popular policy intervention. As essential participants in reducing plastic consumption, residents and enterprises are vital in implementing the plastic bag restriction law (PBRL).
1. Introduction
In recent decades, plastic bags (PB) have emerged as one of the most effective products worldwide
[1]. Globally the unprecedentedly excessive production and consumption of plastics have reached more than 350 million tons per annum. Plastic production in Asia accounted for 51% of the world’s plastic production in 2019, and plastic waste trade flow in Asia was up to 1197 million dollars in 2018
[2,3][2][3]. If consumption and waste management patterns do not change, by the year 2050, about 12,000 million tons of plastic waste will be generated
[4]. Uncontrolled plastic waste has caused socio-ecological impacts, including visual pollution and the destruction of natural beauty
[5]. Additionally, when burned down, PB could release highly toxic and poisonous gases (dioxins and furans), polluting the environment and affecting the health of people
[6]. At the same time, single-use plastic is considered a significant contributor to plastic pollution in the ocean
[7]. About 8 million metric tons of plastic flow into the ocean every year on top of the 150 million metric tons already in the ocean
[8].
PB charges have been an important entry point in the solid waste management policy. Globally, over the past two decades, a remarkable shift in the international norms associated with disposable PB has occurred. Many countries and regions have either banned or put restrictions on the sale or use of disposable PB, varying from straws and utensils to plastic shopping bags
[12,13][9][10]. International experiences showed that proactive policy instruments, such as bans or charges, are more effective than voluntary campaigns. If carefully designed and enforced, the charging for PB has proven to be effective in many countries
[14][11].
Since 2008, China (mainland) has implemented the paid use of PB, which led to a 49% reduction in the use of new PB
[15][12]. Hong Kong also implemented the first phase and comprehensive PB charging in 2009 and 2015. PB use reached a 58% drop in Taiwan due to the full restriction
[16][13]. To reduce the excessive use of PB, the Macao Government implemented the plastic bag restriction law (PBRL) on 18 November 2019. One Macao dollar is charged for each plastic bag. Though there have been many initiatives to reduce single-use PB, very few studies have evaluated the effects of the bans or restrictions. Such as the perception and behavioural changes of residents and enterprises, especially combining the perspective of the residents and enterprises. As
wresearche
rs know, not many studies have evaluated the efficacy of plastic bag bans from the perspective of customers and enterprises, though at least 65 countries now have plastic bag bans at national or sub-national levels
[17,18,19][14][15][16]. The available evidence suggests that a tax or a charge on disposable PB can be highly effective
[13][10].
2. How to improve the implement effects of PBRL
To reduce PB use in the general population, some scholars have researched behavioural changes and the factors influencing PB use. These studies focused on government policy cognition, knowledge about PB, environmental concern, environmental emotion, policy satisfaction, and socioeconomic characteristics (gender, age, education level, family size, and income level), etc.
[14,20,21,22][11][17][18][19]. And those influence factors have a positive influence on anti-plastic bag behaviour.
In environmental behaviour studies, environmental concern and awareness is widely used as a predictor of the pro-environmental behaviour and was found to significantly affect the attitude towards PB use
[14,21][11][18]. Charges on PB can have a significant impact on plastic reduction as it disrupts consumers’ automated choices of accepting PB and makes them think more consciously
[14][11]. The rising concern about plastic and other environmental pollution would increase the positive perception of the public towards PBRL. Therefore, it is important to know whether environmental concerns development can lead to a sustained change in residents’ behaviour on reducing PB usage, namely, the long-term habit of bringing eco-friendly bags (EFB).
Previous studies stated that a positive attitude highly depended on environmental knowledge, which results in favourable action towards nature. And the relationship between environmental knowledge and attitude showed a significant positive correlation toward plastic usage
[23][20]. In other words,
in th
is study, the knowledge of PB can intuitively understand the residents’ reduction of PB. One of the objectives of this
studentry is to explore the influential relationship between environmental knowledge, namely knowledge about plastic bags, and reduced PB-consumption behaviour amongst Macao residents. Leech and Cronk
[24][21] found that the psychological cognition and cognitive basis of policy actions affect human political behaviour. And the cognition of policies and government measures has a significant impact on public behaviours. Therefore, the first step to knowing the effect of environmental governance can be measured by residents’ cognition of relevant policies. One’s attitude towards using PB is a psychological emotion that can be regarded as a manifestation of environmental emotion. When residents hold a positive attitude towards reducing PB usage, they will form a positive intention to accept PBRL. Policy support can reflect whether residents agreed or disagreed with the PBRL
[25][22], while the degree of policy satisfaction can better reflect the residents’ acceptance of the policy
[26][23].
Many existing studies have used regression analysis to explore the factors that influence behaviour and to measure the strength of the relationship between a behaviour and its influencing factors
[27,28,29,30][24][25][26][27]. Radtke et al.
[27][24] used the logistic regression method to find that community energy influences pro-environmental attitudes and behaviour. Tran and Matsui
[28][25] used logistic regression to analyse waste separation behaviour. Scharmer and Snyder
[29][26] used ordinal logistic regression to test the matching effect on meal plan selection. Hu et al.
[30][27] demonstrated that attitudes towards environmental protection and perceived benefits play a key role in accelerating the adoption of shared electric cars using the logistic regression model. And these studies have obtained satisfactory test results.