According to the survey results, the overall environmental literacy of Qingdao residents was at an average level, with an average score of 49.67 points only (out of 100 points). The highest score was 90 points and the lowest score was only 7 points, with the scores of most respondents lying between 30 and 60. The structural status and analysis of environmental literacy are as follows.
3.1. Structure of Environmental Literacy
The connotation of environmental literacy is divided into three parts, namely environmental knowledge, environmental awareness, and environmental behavior, which are also the three primary indicators of this study. The three parts form a unity but they maintain their independence. The three primary indicators are given different weights according to the degree of their importance. The scoring rate (the proportion of the actual score in the total score) can be used to measure their actual situation and further show the structure of environmental literacy. See
Table 3 for the actual score, scoring rate, and the proportion of the actual score for the three primary indicators.
It can be seen from the above table that among the three primary indicators, environmental awareness has the highest scoring rate, while environmental behavior has the lowest scoring rate, with the difference between the two being 26.79 percentage points, which can be said to be a huge gap. Moreover, there is a certain gap between the scoring rate of environmental behavior and that of environmental knowledge, with a difference of 5.85 percentage points. In terms of the proportion of scores, the actual score of environmental awareness has the highest proportion, 43.8%, far higher than 30%. On the contrary, the actual score of environmental behavior has a share of only 26.2%, far lower than 41.7%. Through the comparison of these two groups of data, it can be seen that the three parts of environmental literacy, namely environmental knowledge, environmental awareness, and environmental behavior, show a more significant disharmony. The overall level of environmental awareness is higher than that of environmental knowledge, and the overall level of environmental knowledge is higher than that of environmental behavior.
3.2. Interactive Analysis of Various Parts of Environmental Literacy
The above analysis reflects the overall situation of the environmental literacy structure or the gap among environmental knowledge, environmental awareness, and environmental behavior. However, is there any relationship between the three, and how do they influence each other? A further interactive analysis is, thus, required to answer these questions. For the convenience of analysis, we divided the overall level of each primary indicator into three levels: high, medium, and low. Among them, any of the indicators were considered to be at a high level if their scoring rates were higher than or equal to 70%; at a medium level if their scoring rates was lower than 70% but not lower than 40%, and at a low level if their scoring rates were lower than 40%. In this way, we could calculate the number and percentage of cases for each indicator at different levels and further carry out interactive an analysis of these indicators. The specific analysis results are as follows.
3.2.1. Interactive Analysis of Environmental Knowledge and Environmental Awareness
First, the interactive analysis of environmental knowledge and environmental awareness was conducted, and the analysis results are shown in
Table 4.
As can be seen in the table above, among all the cases, the numbers for the cases with medium-level knowledge and high awareness are the largest, 248 and 340, respectively, accounting for 45.34% and 62.16%, while the number of cases with high-level knowledge is 33, accounting for only 6.03%, which further demonstrates that the environmental awareness of the surveyed population is generally ahead of their environmental knowledge. It is known by observing the distribution of cases with high- and low-level knowledge; among cases with high-level knowledge, the numbers for the cases with high, medium, and low awareness are 25, 5, and 0, respectively. It can be seen that high-level knowledge can help develop high awareness and effectively avoid low awareness; among the cases with low-level knowledge, the numbers for the cases with high, medium, and low awareness are 64, 62 and 16, respectively. It is clear that low-level knowledge does not affect the development of high awareness. Then, through observation of the distribution of cases with high and low awareness, among the high awareness cases, those with high-, medium-, and low-level knowledge are 28, 248 and 64, respectively. It is clear that high-level knowledge does not necessarily lead to high awareness and low-level knowledge is the precondition of low awareness. According to the above analysis, the environmental awareness of the surveyed population is obviously ahead of their environmental knowledge, and high-level environmental knowledge cannot necessarily help establish high environmental awareness, but can effectively avoid the establishment of low environmental awareness; low-level environmental knowledge is a necessary condition for low environmental awareness.
3.2.2. Interactive Analysis of Environmental Knowledge and Environmental Behavior
The results of the interactive analysis of environmental knowledge and environmental behavior of all the cases are as in
Table 5.
It can be seen from the statistical results in the table above that there are relatively few cases with high-level knowledge and high-level behavior in all cases; 32 and 61, respectively, accounting for 5.57% and 10.61%; the numbers for the cases with medium-level knowledge and medium-level behavior are the largest, 372 and 210, accounting for 64.70% and 36.52%, respectively, which is consistent with the point distribution of environmental literacy scores. Further analysis showed that high-, medium-, and low-level behaviors in all cases with high-level environmental knowledge are 10, 12 and 11, respectively, which shows that high-level knowledge produces no significant impact on environmental behavior; among all the cases with low-level knowledge, those with high-, medium-, and low-level behaviors are 5, 45, and 94, respectively. It can, thus, be seen that low-level knowledge makes a significant impact on environmental behavior, and can hardly help generate high-level behavior. Through further analysis, it can be found that among all the cases with high-level behavior, the numbers for the cases with high-, medium-, and low-level knowledge is 10, 46 and 5, respectively. It is evident that high-level behavior requires certain knowledge as its basis; among all low-level behavior cases, the numbers for the cases with high-, middle-, and low-level knowledge are 11, 173, and 94, respectively. It shows that low-level knowledge may affect environmental behavior. Based on the above analysis, the following conclusions can be drawn. The overall degree of matching between environmental awareness and environmental behavior is not high; high-level environmental knowledge may not cause high-level environmental behavior, but low-level environmental knowledge may cause low-level environmental behavior; environmental behavior requires certain environmental knowledge as its basis, i.e., environmental knowledge is a necessary condition for environmental behavior.
3.2.3. Interactive Analysis of Environmental Awareness and Environmental Behavior
The results of interactive analysis on environmental awareness and environmental behavior for all the cases are as in
Table 6:
It can be seen from the table above that the total number of cases with high awareness is 340, accounting for 62.16%, significantly more than the number of cases with high-level knowledge and high-level behavior and there is a small number of cases with low awareness, only 16, accounting for 2.93%. This result is in line with the high scoring rate and the proportion of high scores of environmental awareness in the above statistics. Further analysis was made on the distribution of high and low-awareness cases. It is shown that the number of high, medium and low awareness cases is 51, 140 and 149, respectively. It is evident that high awareness has no significant impact on environmental behavior and will not necessarily lead to high-level behavior; the numbers for the cases with high-level behavior, medium-level behavior and low-level behavior among the cases with low awareness are 0, 0 and 16, respectively, all of which are low-level behavior. Thus, it can be determined that low awareness will inevitably cause low-level behavior. The distribution of high-level and low-level behavior cases was then analyzed. Among high-level behavior cases, the numbers for the cases with high awareness, medium awareness and low awareness are 51, 10, and 0, respectively. It can be seen that high-level behavior requires high awareness as support; among low-level behavior cases, the cases with high, medium and low awareness are 149, 113 and 16, respectively. It can be seen that high awareness may also cause low behavior. However, considering the overall high environmental awareness, the proportion of the low awareness cases in all the cases with low-level behavior is 5.76%, higher than the proportion of low awareness cases in all cases (2.93%), indicating that low awareness is an important contributor to low-level behavior. To sum up, it can be found that environmental awareness and environmental behavior do not match each other, and environmental awareness is obviously ahead of environmental behavior; high environmental awareness does not necessarily lead to high-level environmental behavior, but low environmental awareness will inevitably lead to low environmental behavior; high-level environmental behavior requires high environmental awareness as support, while low environmental awareness is an important influencing factor of low-level environmental behavior.
3.2.4. Interactive Analysis of Environmental Knowledge, Environmental Awareness, and Environmental Behavior
The three primary indicators of environmental knowledge, environmental awareness, and environmental behavior are analyzed interactively, and the results are shown as in
Table 7.
It can be seen from the data in the table above that the total number of cases with a relatively high level of environmental knowledge and environmental awareness, both of which are at the medium level or above, is 405, with a share of 73.84%, 24.47 percentage points higher than those with high-level environmental behavior; the numbers for the cases with high-, medium-, and low-level environmental behaviors among the cases with high-level environmental knowledge and high environmental awareness are 56, 165 and 184, respectively. It can, thus, be concluded that environmental knowledge and environmental awareness are generally ahead of environmental behaviors, but cannot determine environmental behaviors. Among the cases with low-level environmental knowledge and low awareness, at a low rather than high level, the numbers for the cases with high-, medium-, and low-level behaviors are 1, 25 and 54, respectively. It is clear that low-level environmental knowledge and low awareness will produce an impact on low environmental behavior, and it is difficult for them to cause high-level environmental behavior. The above viewpoints are consistent with those of the previous analysis.
There is a question mark over this conclusion, which may require further explanation. The study found that residents’ environmental awareness was relatively ideal, with a score rate of 66.77%, which was significantly ahead of environmental knowledge and environmental behavior, especially in sharp contrast with environmental behavior. Is this a reasonable phenomenon? How does high environmental awareness develop? As mentioned in this paper, the residents have a relatively great environmental awareness, with a scoring rate of 66.77%, obviously ahead of environmental knowledge and environmental behavior, forming a strong contrast with environmental behavior in particular. However, does this phenomenon make sense? In fact, such a phenomenon has been found in many existing studies. For example, in the field of waste classification, a survey conducted in Shanghai found that 90% of the residents supported waste classification as early as 2011, but the accuracy of waste classification in pilot areas was lower than 20% [
25]. By 2019, when the awareness of residents in Beijing toward the four categories exceeded 80% and their support rate exceeded 90%, the correct classification rate was lower than 20%. It can be seen that urban residents in China generally have high environmental awareness and low-level environmental behavior, which can be explained by the following two aspects. First, the limitations of the survey method. Currently, the questionnaire survey method is used in most of the existing studies, which is the same as that in this paper. As is known to all, although this method has many advantages, it also has some defects that are difficult to overcome, such as the lack of scientific attitude from respondents, and the insufficient depth of the survey. Particularly, the limitations of the questionnaire are most obvious when a survey is made on issues such as thoughts, motivations, concepts, values, etc. For the survey on environmental awareness, the questions designed by the surveyors are mostly “what attitude they hold toward a certain environmental issue”, which is undoubtedly related to self-cognition. The “D-K effect” in psychology has revealed that people’s self-awareness is often biased, and most people will think highly of themselves. Thus, when asked such questions on paper, there will be a deviation between the respondents’ answers and the truth. The characteristics of the questionnaire determine that surveyors can only collect the results of the respondents’ answers, and cannot go deeper into their real thoughts. Therefore, the conclusions drawn based on the survey data are likely to be better than the actual situation. Given this fact, more survey means, such as interviews and observation, should be introduced in subsequent studies to obtain more vivid data. Second, China has not attached importance to the construction of ecological civilization for a long time, and the improvement of environmental literacy is a slow process, in which the improvement of environmental awareness is usually ahead of that of environmental behavior. The improvement of the public’s environmental awareness (such as their understanding of some environmental issues) demonstrate good results by means of publicity within a relatively short time, but it seems that environmental behavior is more difficult to improve. That is because the improvement of environmental behavior may not only change the long-term living habits of residents but also add to the cost of living. Therefore, in addition to basic publicity means, we should also take more binding means to promote people’s environmental behavior, such as economic regulation, information disclosure, and even administrative coercion. This does not only mean higher administrative costs for the government, but also some uncertain social risks. Therefore, in reality, the government adopts a variety of publicity means that feature low cost, low risk, and easy operation, while the use of more binding economic means and coercive means will require great caution. In this way, the final result is that the environmental awareness we see is far ahead of environmental behavior.