Does “Only Trash Litter?”

 

Tammy L. Pounds, Department of Earth Sciences, University of South Alabama, Mobile, AL 36608. E-Mail: TLPounds02@yahoo.com .

 

            The rivers, streams, and creeks that comprise the Dog River Watershed are constantly filled with trash. Litter in the water affects water quality in such ways as blocking out sunlight for bottom-dwelling plants and animals, destroying the waters’ delicate chemical balance, and/or just being an eye sore. This project pin- points the type of communities of Mobile city that are mainly responsible for littering into the Dog River Watershed.  This was determined by identifying the sex, age, labor force status, fertility, race, and educational attainment of the representative census tracts and tallying how much litter was found on the residential, non-thoroughfare streets. Armed with empirical knowledge of which communities to mass educate on this issue, Mobile, as well as other cities, will be able to more effectively combat environmental degradation.  In this study, I first determined the educational attainment of nine census tracts of Mobile city to represent the communities that have a high, medium, or low education level. Within each tract, I counted the number of pieces of trash along the roadsides for 100 feet. After the data was recorded and tested for significance, it was confirmed that the communities that littered the most were those that have low educational attainment, low income, high African American population, and high fertility rate. However, more in-depth research would allow one to see that littering is ultimately a combination of a myriad of socioeconomic factors and is more about "class" issues than merely "social descriptors" of a community.

            Keyword: litter, educational attainment, environmental degradation

 

Introduction:

Recent indicators suggest that a broad range of the American public cares about the environment and is trying to change personal and professional habits to ensure a cleaner, more sustainable environment. For example, in the early 1980s, the top three environmental concerns of Americans were hazardous waste disposal, toxic pollution of lakes and rivers, and the balance of nature being easily upset by humans (Kuzmiak, 1991). Yet, this upwelling of environmental concern is contrasted by the persistent social problem of littering, thus raising questions as to just how dedicated American people are towards the environmental movement.

Locally, the rivers, streams, and creeks that make up the Dog River watershed are constantly filled with trash. Any place a person can access a water body in Mobile, they will find, if not an abundance, at least several pieces of litter in or around the water. Sediment traps placed in waterways for the capture of sediment have become traps for large amounts of litter floating downstream. If this fact were not infuriating enough, the trash is not even usually removed from the traps; it is just left there until the water level rises, moving the trash farther downstream.

Litter in the water affects water quality, and these effects differ in severity, depending on the type of material of which it is made. Litter can affect water quality by doing such things like blocking sunlight from bottom-dwelling plants and animals, destroying the waters’ delicate chemical balance, and/or just being an unsightly burden for a frequented city. Mainly, litter enters the waters of the Dog River watershed from runoff. This project helps pin point certain demographics of the people who are mainly responsible for littering by using data from the books 1990 U.S. Census of Population and Housing Characteristics for Census Tracts and Block Numbering Areas and the Official 1990 Census Tract Maps: All of Mobile County and City of Mobile.

A conventional wisdom has been that African Americans are not as concerned as whites about environmental quality issues (Bryant and Mohai 1998). Yet, there are sound theoretical reasons to expect them to be less concerned than are whites about some issues but more concerned about others. Where significant differences existed, they were over local environmental problems, with African Americans expressing substantially greater concern than did whites. Racial difference in concern about such issues is a function of the disproportionate burden of environmental injustices in African American neighborhoods, and was demonstrated from an analysis that employed a wide range of local environmental quality indicators. Thus, working class hostility towards environmental issues has probably been over-emphasized in the literature (Buttel & Flinn, 1978).

Locating the groups of people who are most responsible for littering would help Dog River Clearwater Revival target the right groups to mass educate, alter their attitudes about environmental degradation, help improve water quality, and perhaps also positively affect other community issues, such as social deterioration.  “Litter…and other signs of negative behavior left uncorrected contribute to neglect, apathy, and a downward spiral of deterioration” (Beverage Industry, 1998).

 

Research Question:

            Is the amount of litter from an area entering the Dog River watershed in Mobile, Alabama related to the educational attainment, fertility rate, labor force status, income level, age, race, and sex ratios of the respective community? I intend to prove that these demographic relationships are factors that predispose a person to litter. If my hypothesis is correct, then the community will have a foothold on where to go in the community and educate the people with the highest apathy for the environment. According to the results of Meffe’s surveys of ecological knowledge among university students, “…we face a major obstacle in convincing our students of the severity of…overriding environmental issues (1997).” Thus, a mass education concerning environmental degradation would raise awareness, ultimately reducing the amount of litter entering the Dog River watershed.

 

Methods

:           To answer the research question, I determined the educational attainment for the census tracts of the city of Mobile, Alabama. A census tract is an area that encompasses land made up of a little more than a couple of blocks. I put all of these census tracts and their respective educational attainments in an Excel table and determined the intervals for the high, middle, and low educated tracts. To determine these intervals, I ordered the tracts from least to greatest according to their respective educational attainments and placed three equal number breaks between the data. To be statistically significant, I chose three tracts (those located within the middle of each interval) to study the most true representative tracts of each interval) to represent each of these three intervals (Figure 1). I also chose to study the relationships between littering and the socioeconomic factors of sex, age, labor force status, fertility, race, and income because they are broad, general characteristics of every community, and I wanted to see if they could offer clues as to who litters the most.  After finding the values of these socioeconomic factors of the respective tracts, Isurveyed the amount of trash found in each of them (Table 1). To assess the amount of trash, I walked along the sides of the roads (away from commercial areas and thoroughfares) for a length of one-tenth of a mile in the designated neighborhoods in each of the chosen tracts and tallied the pieces of trash found in the road and on its sides. After the second assessment of all of the nine tracts, I calculated the correlation (degree of association) between the amount of litter and educational attainment of each tract using Kendall’s Tau (a simple correlation that measures the precise value of the relationship between two or more variables). If there was a strong indirect relationship, then I accepted my research hypothesis.

 

Results:

            According to the data, there was a no relationship (0 correlation) between sex and littering.  However, the data is significantly insignificant with a confidence level of 46%, meaning that one cannot use this data to make confident conclusions (Figure 2).  There is an extremely slight indirect relationship (-0.05 correlation) between age and littering.  However, the data is statistically insignificant with a confidence level of 54% (Figure 3).  There is a slight indirect relationship (-0.33 correlation) between labor force status and littering.  However, the data is also statistically insignificant with a confidence level of 87% (Figure 4).  There is a slight direct relationship (0.38 correlation) between fertility and littering.  The data is statistically significant because I can say with 91% confidence that these two variables are directly related (Figure 5). There is a moderate indirect relationship (-0.44 correlation) between race and littering.  The data is statistically significant because I can say with 94% confidence that these two variables are indirectly related (Figure 6). There is a relatively strong indirect relationship (-0.5 correlation) between income and littering.  The data is statistically significant because I can say with 96.2% confidence that these two variables are indirectly related (Figure 7). There is a strong indirect relationship  (-0.72 correlation) between educational attainment and littering.  The data is statistically significant because I can say with 99.71% confidence that these two variables are indirectly related (Figure 8).

 

Discussion and Conclusions:

            The statistically insignificant data are sex, age, and labor force status.  Based upon my analysis, a relationship between these variables and an increase in littering cannot be claimed. The statistically significant data are fertility, race, income, and educational attainment.  Thus, I can accept a hypothesis claiming that the amount of litter entering the Dog River watershed in Mobile, Alabama from an area of similarly educated people is related to the fertility, race, income, and educational attainment of the respective communities.

            Some reasons why more children in a community would cause more litter to be found in these neighborhoods include perhaps minimal supervision, children are less inclined to retrieve litter, they are more likely to create litter, they are more likely to include eating outside (thus increasing the likelihood for littering), and they are not aware of environmental destruction caused by their actions.  Those within higher economic brackets may not necessarily litter less, but they have the resources to employ others (usually of a lower class) to retrieve trash in their immediate environments.  Individuals in the lower economic brackets are less likely to own property, thus perhaps fostering apathy towards immediate environments.  The city government may direct more resources for upkeep towards higher income neighborhoods.  Those who are more highly educated are more aware of environmental concerns and ramifications of littering.  They also may have a greater sense of responsibility toward the "larger" community, and may become more involved with community service. 

Even though there was a statistically significant relationship between race and littering, I think the data is not indicative of a racial issue, but instead illuminates the fact that a majority of the underclass is disproportionately African American, thus producing this specific result. Thus, littering is about "class" issues not "race" ones. Ultimately, littering is a socioeconomic dynamic.  There are many factors that contribute/are intertwined with this social problem that cannot be fully explained or understood with simple correlation methods.  Thus, more complex examinations/sophisticated correlation tests of the associations of these socioeconomic variables with each other (along with others not studied in this research) would better illuminate how they are related in dynamic fashion to littering.

 

References:

Bryant, Bunyan, & Mohai, Paul. (1998). Is there a “Race” Effect on Concern for Environmental Quality? Public Opinion Quarterly, 62, 475-505.

 

Buttel, F.H. & Flinn, W.L. (1978). The politics of Environmental Concern. Environment and Behavior, 10, 17 – 36.

 

Dunning, John B., Jr. (1997, Feb.). The Missing Awareness, Part 2: Teaching Students What a Billion People Looks Like. Conservation Biology, 11, 6-10.

 

Kuzmiak, D. T. (1991, Nov.). The American Environmental Movement. Geographical Journal, 157, 265-278.

 

The New Fight on Environmental Blight: Strategies to Prevent Urban Litter Initiative. (1998, Jul.). Beverage Industry, 89, 26.

 

Official 1990 Census Tract Maps: All of Mobile County and City of Mobile (1992).  Keith Map Service, Inc.

 

1990 U.S. Census of Population and Housing Characteristics for Census Tracts and Block Numbering Areas (1992). U.S. Department of Commerce.