<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JEP</journal-id><journal-title-group><journal-title>Journal of Environmental Protection</journal-title></journal-title-group><issn pub-type="epub">2152-2197</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jep.2015.63027</article-id><article-id pub-id-type="publisher-id">JEP-55162</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Assessment of the Activities of Scavengers in Obio/Akpor Local Government, Rivers State, Nigeria
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>lenwo</surname><given-names>Ephraim Ikechukwu</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Department of Geography and Environmental Management, Faculty of Social Science, University of Port 
Harcourt, Choba, Nigeria</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>iyke2_elenwo@yahoo.com</email></corresp></author-notes><pub-date pub-type="epub"><day>05</day><month>03</month><year>2015</year></pub-date><volume>06</volume><issue>03</issue><fpage>272</fpage><lpage>280</lpage><history><date date-type="received"><day>24</day>	<month>January</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>26</month>	<year>March</year>	</date><date date-type="accepted"><day>30</day>	<month>March</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  This study was carried out based on consistent observations on the activities of scavengers of scrap metal in Obio/Akpor local government Rivers State. The study was carried out to ascertain the profitability of scrap metal scavenging and how scrap metal waste can generate wealth to the public and the government. The study made use of primary and secondary data with the former being the main focus. The data were analyzed using the simple percentage, while the hypothesis was tested by means of the chi-square. The study findings revealed that there was a relationship between waste and wealth in relation to scrap metal scavenging. The researches therefore make the following recommendations; that scavengers should form co-operatives so that they can pull their efforts and resources together and bargain collectively. Government and nongovernmental organization should enlighten them through seminars, workshops, etc., on how to carry out their activities in an environmentally safe manner. The state government should encourage scavenging by enacting a law to back the profession and make it attractive for the teaming youths to venture into.
 
</p></abstract><kwd-group><kwd>Assessment</kwd><kwd> Activities</kwd><kwd> Scavengers</kwd><kwd> Obio/Akpor</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Wastes are things we consider as unfit, unwanted and discarded due to economic reasons or ignorance of alternative technologies to re-use them [<xref ref-type="bibr" rid="scirp.55162-ref1">1</xref>] . It can also be seen as solid, liquid or gas. Waste could also be defined as things that could be discarded as useless but that has a potential of causing death, illness or injury to people or destruction of the environment if improperly treated, stored, transported or discarded [<xref ref-type="bibr" rid="scirp.55162-ref2">2</xref>] .</p><p>According to [<xref ref-type="bibr" rid="scirp.55162-ref1">1</xref>] , waste can be defined as substance and materials, which are disposed off according to the provision of national Law. In the same vein, Oxford Dictionary defines wastes as that which is not or cannot be used or no longer in use. In essence, waste materials if not well managed, could result to serious hazards. The generation of solid waste is as old as man’s creation and activities. The problem of solid waste is one of the most serious environmental problems facing the world at large. According to [<xref ref-type="bibr" rid="scirp.55162-ref3">3</xref>] , he observed that in recent years solid waste generation in metropolitan cities had increased extraordinarily. According to him, the problem of waste can be linked to the fact that population is on the increase and the rate of consumption by various individuals increases by the day, which on the other hand has led to an increase in the amount of waste generated. Solid waste constitutes a major urban environmental paralysis; a clog on the wheel of progress in terms of urban environmental purity and sanitation [<xref ref-type="bibr" rid="scirp.55162-ref4">4</xref>] . Solid waste causes pollution and contributes to global warming which in turn has a negative impact on man and environment. The presence of undisposed waste in a place causes different types of diseases, filth and unsightliness of the environment which affect the lives of human, animals and aquatic organisms.</p><sec id="s1_1"><title>1.1. Statement of Problem</title><p>The management of solid wastes has become one of the greatest challenges facing State, local governments and environmental protection agencies in Nigeria. The volume of solid wastes generated continues to increase at a faster rate than the ability of the agencies in Nigeria to surmount. The lack of ability of the agencies to improve on the financial and technical resources needed to parallel the rate of generation is an issue. The deterioration of the urban environment in terms of irresponsibly dumped and accumulated solid wastes is most apparent in our urban lives and has caused a blighted environment [<xref ref-type="bibr" rid="scirp.55162-ref4">4</xref>] .</p><p>In Obio/Akpor local government, waste has become problematic because of its visibility at major roads in the local government and the degradation of the environment. In most areas in the local government, it is common site to find heaps of waste in many places, besides those wastes that are scattered in gutters, street corners and road sides.</p><p>In some cities in Nigeria including Port Harcourt and Obio/Akpor local government, the volume of solid waste generated has over whelmed the urban administrator’s capacity to plan for their collection and disposal. These wastes as earlier stated ranges from food materials, sachet water bags, plastic bottles, metals of all categories, demolitions, debris from trees etc. This paper focuses on the activities of scavenger of scrap metals which constitute huge quantity of the volume of waste generated in the local government and how it could be converted to wealth for their livelihood.</p><p>In Nigeria, the issue of metal scraps has become a serious business since the demand for it has increased especially for the purposes of recycling and for use in building construction. The business of sale of scrape metals has become a huge source of income for scavengers due to its increasing demand by metal recycling companies. Furthermore, scrap metal waste collection centers are springing up in the local government as well as most cities in Nigeria. Their main purpose is to segregate those materials i.e. (Metals) which could be assembled for recycling which in turn generates huge income to them after sale. It is in the light of the foregoing that this research wishes to investigate the activities of scavengers of scrap metal waste in Obio Akpor local government Rivers State.</p></sec><sec id="s1_2"><title>1.2. Recycling of Scrape Metals</title><p>Recycling is a process to change waste materials into new products to prevent making useless of potentially useful materials. Recycling has been a common practice since human history, with recorded advocates as far back as Plato in 400BC. During periods when resources were scarce, archaeological students of ancient times were interested in such waste such as, broken tools and pottery, implying that waste was being recycled in the absence of new materials [<xref ref-type="bibr" rid="scirp.55162-ref5">5</xref>] .</p><p>In pre-industrial times, there was evidence of scrap bronze and other metals being collected from Europe and melted down for perpetual reuse [<xref ref-type="bibr" rid="scirp.55162-ref5">5</xref>] . In Britain, dust and ash from wood and coal fires were collected by “dust men” and cycled as a base material used in brick making. The main driver for those types of recycling was the economic advantage of obtaining recycled feed stock instead of acquiring virgin material as well as a lack of public waste removal in ever increasing population of the area [<xref ref-type="bibr" rid="scirp.55162-ref5">5</xref>] .</p><p>In 1813, Benjamin law developed the process of turning rags into “shoddy” and “mango” wool in Bartley Yorkshire in the United Kingdom. This material combined recycled fibers with virgin wool. The West Yorkshire shoddy industry in towns such as Batley and Dewsbury lasted from the early 19<sup>th</sup> century to at least 1924. Industrialization spurred demand for affordable materials, aside from rags, ferrous scrap metals were converted as they were cheaper to acquire than was virgin ore. Rail road’s both purchased and sold scrap metal in the 19<sup>th</sup> century and the growing steel and auto mobile industries purchased scrap in the early 20<sup>th</sup> century. Many secondary goods were collected, processed, and sold by peddlers who combed dumps, city streets and went door to door looking for discarded machinery, pots, pans and other sources of metal.</p><p>By World War 1, thousands of such peddlers roamed the streets of American cities, taking advantage of market forces to recycle post consumer materials back to industrial production [<xref ref-type="bibr" rid="scirp.55162-ref3">3</xref>] . Beverage bottles were recycled with a refundable deposit by some drink manufacturers in Great Britain and Ireland. An official recycling system with refundable deposits was established in Sweden for bottles in 1884 and aluminum beverage cans in 1982, by law, leading to a recycling rate for beverage containers of 84% - 99% depending on type and average use of a glass bottle is over 20 refills [<xref ref-type="bibr" rid="scirp.55162-ref3">3</xref>] .</p></sec><sec id="s1_3"><title>1.3. Scrap Iron Recycling</title><p>Typically scrap ferrous metal are generated at house hold, auto mechanic workshops and other commercial ventures. Below is a simple diagram to illustrate how scrap iron is generated in the local government.</p><disp-formula id="scirp.55162-formula1193"><graphic  xlink:href="http://html.scirp.org/file/8-6702568x5.png"  xlink:type="simple"/></disp-formula><p>Diagram showing Scrap iron generation in Obio/Akpor LGA, Rivers State, Nigeria, adapted from [<xref ref-type="bibr" rid="scirp.55162-ref6">6</xref>] .</p></sec></sec><sec id="s2"><title>2. Methodology</title><p>The sampling technique adopted in the study is the simple random sampling technique. It was applied on the population of the study area as given by [<xref ref-type="bibr" rid="scirp.55162-ref7">7</xref>] . The area includes Choba, Eliozu, Rumuokoro, Rumuodumaya, and Rumuolumeni communities. In each of these communities, scrap metal collection centers were chosen using the random sampling method in which five communities were selected from the three (3) zones and three (3) centers from each community as shown in <xref ref-type="table" rid="table1">Table 1</xref>. Furthermore to derive the sample size, the statistical formula by [<xref ref-type="bibr" rid="scirp.55162-ref8">8</xref>] was applied. At the end the population size was reduced to a manageable size of 180 for questionnaire administration. The formula is thus <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/8-6702568x6.png" xlink:type="simple"/></inline-formula></p><disp-formula id="scirp.55162-formula1194"><graphic  xlink:href="http://html.scirp.org/file/8-6702568x7.png"  xlink:type="simple"/></disp-formula><p>where n = sample size;</p><p>N = total population;</p><p>1 = constant;</p><p>e = level of significance (0.005)<sup>2</sup>.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Selection of scrap collection centers in the study area</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >S/N</th><th align="center" valign="middle" >Location of collection centers</th><th align="center" valign="middle" >Number of scrap center sampled</th><th align="center" valign="middle" >Number of questionnaire administered</th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >Choba</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >36</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >Rumuokoro</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >36</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >Rumuodumaya</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >36</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >Eliozu</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >36</td></tr><tr><td align="center" valign="middle" >5</td><td align="center" valign="middle" >Rumuolumeni</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >36</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Total</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >180</td></tr></tbody></table></table-wrap><p>Field Research 2014.</p><sec id="s2_1"><title>2.1. Nature of Data Collection</title><p>The data used for this research includes the primary and secondary data. The primary data was obtained using various techniques such as questionnaire administration, field survey and oral interviews. The secondary sources were obtained from the library, available literatures, which includes review of previous work done on the area etc. According to [<xref ref-type="bibr" rid="scirp.55162-ref9">9</xref>] a World Bank report revealed that about 2% of the third world population survives through scavenging. He further asserts that in Bangkok, Jakarta, Karachi and Manila, that the scavengers save the city at least $3 million yearly. Questionnaire administration was carried out by means of face to face interview using well structured dichotomous questions which addressed the issues at hand. A total one hundred and eighty (180) questionnaire were administered in the study area. Oral interviews include face to face discussion with the scavengers’ themselves at each of the centers in the five communities sampled. This was aimed to elicit salient information on their activities. The information received form part of the opinion on the recommendations made by the researcher in this paper.</p></sec><sec id="s2_2"><title>2.2. Method of Data Analysis</title><p>The analytical technique used in the analysis of data for this research is the Chi Square other descriptive statistics used includes tables, frequencies, and charts respectively.</p><p>In this case the Chi Square formula is given by equation</p><disp-formula id="scirp.55162-formula1195"><graphic  xlink:href="http://html.scirp.org/file/8-6702568x8.png"  xlink:type="simple"/></disp-formula><p>where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/8-6702568x9.png" xlink:type="simple"/></inline-formula>Observed frequency;</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/8-6702568x10.png" xlink:type="simple"/></inline-formula>Expected frequency.</p></sec></sec><sec id="s3"><title>3. Results</title>Characteristics of Scavengers<p>Various characteristics of scavengers were included in the questionnaire and analyzed. These characteristics were age, sex, educational status, number of years in the business, place of origin, estimated income generated by scavengers etc.</p><p>In <xref ref-type="table" rid="table2">Table 2</xref> sex of respondents and <xref ref-type="table" rid="table3">Table 3</xref> age of scavengers, <xref ref-type="fig" rid="fig1">Figure 1</xref> as cited in the text corroborates the assertion in <xref ref-type="table" rid="table2">Table 2</xref>. The age and the sex structure of scavengers show that 100% are males and 0% is females. In the age structure, most scavengers are at the peak of their productive years that is between 20 - 30 years of age which has 52.6% response in the sample. This is so because scavenging is labour intensive and females are not involved. Age is another indicator that determines the capacity of this type of profession because the work is for youths and not the elderly who may not withstand the stress of scavenging which involves movement from one waste dump to another searching for waste products of interest. This is corroborated in the <xref ref-type="fig" rid="fig2">Figure 2</xref> as cited in the text.</p><p>In terms of educational status of scavengers, it can be shown in <xref ref-type="table" rid="table4">Table 4</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref> that 59.8% have no formal education, while 27.6% have only primary education, 12.1% have secondary education and no person has tertiary education. From this analysis, it is obvious that majority of scavengers are not educated.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Sex of scavengers</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Sex</th><th align="center" valign="middle"  colspan="2"  >Choba</th><th align="center" valign="middle"  colspan="2"  >Eliozu</th><th align="center" valign="middle"  colspan="2"  >Rumuokoro</th><th align="center" valign="middle"  colspan="2"  >Rumuodumaya</th><th align="center" valign="middle"  colspan="2"  >Rumuolumeni</th><th align="center" valign="middle"  colspan="2"  >Row Total</th></tr></thead><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Column Total</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Sex of scavenge. Source: Field Survey, 2014</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/8-6702568x11.png"/></fig><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Age of scavengers</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Age</th><th align="center" valign="middle"  colspan="2"  >Choba</th><th align="center" valign="middle"  colspan="2"  >Eliozu</th><th align="center" valign="middle"  colspan="2"  >Rumuokoro</th><th align="center" valign="middle"  colspan="2"  >Rumuodumaya</th><th align="center" valign="middle"  colspan="2"  >Rumuolumeni</th><th align="center" valign="middle"  colspan="2"  >Row Total</th></tr></thead><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >20 - 30 Years</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >13.8</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >52.6</td></tr><tr><td align="center" valign="middle" >31 - 40 Years</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >6.1</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >8.8</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >37</td></tr><tr><td align="center" valign="middle" >41 - 50 Years</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >9.9</td></tr><tr><td align="center" valign="middle" >51 - 60 Years</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >60 Above</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Column Total</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >99.5</td></tr></tbody></table></table-wrap><p>In <xref ref-type="table" rid="table5">Table 5</xref> and <xref ref-type="fig" rid="fig4">Figure 4</xref>, with respect to the number of years in the business, it shows that 68.7% have been in the business for just 1 - 5 years, while 29.7% have been in it for 6 - 10 years and 1.1% for 11 - 15 years. The above analysis signifies that scavenging is new in this part of the world, but it is self sustaining.</p><p>The response on the place of origin of scavengers shows that 97.6% are from other States, while 2.2% are from the State (<xref ref-type="table" rid="table6">Table 6</xref> and <xref ref-type="fig" rid="fig5">Figure 5</xref>). The indigenes of Rivers State feel that the business is dirty and dehumanizing, therefore does not get involved.</p><p><xref ref-type="table" rid="table7">Table 7</xref> and <xref ref-type="fig" rid="fig6">Figure 6</xref> show that 28.1% generate ₦50,000 while 60.8% generate ₦100,000 from scrap metal sales. This analysis shows that it is a lucrative business which keeps people self employed as well as keeps the local government clean.</p><p>Hypothesis: Relationship between volume of scrap metal waste and the amount of money realizable.</p><p>H<sub>o</sub>: There is no significant relationship between volume of scrap metal generated and the amount of money realizable.</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Age of scavengers. Source: Field Survey, 2014</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/8-6702568x12.png"/></fig><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Educational attainments of scavengers</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Educational Level</th><th align="center" valign="middle"  colspan="2"  >Choba</th><th align="center" valign="middle"  colspan="2"  >Eliozu</th><th align="center" valign="middle"  colspan="2"  >Rumuokoro</th><th align="center" valign="middle"  colspan="2"  >Rumuodumaya</th><th align="center" valign="middle"  colspan="2"  >Rumuolumeni</th><th align="center" valign="middle"  colspan="2"  >Row Total</th></tr></thead><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >No formal Education</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >13.8</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >8.3</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >15.5</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >59.8</td></tr><tr><td align="center" valign="middle" >Primary Education</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >8.3</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >6.6</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >4.4</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >27.6</td></tr><tr><td align="center" valign="middle" >Secondary Education</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.1</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2.2</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >12.1</td></tr><tr><td align="center" valign="middle" >Tertiary</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Column Total</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >99.5</td></tr></tbody></table></table-wrap><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Educational attainments of scavengers</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/8-6702568x13.png"/></fig><p><xref ref-type="table" rid="table8">Table 8</xref> shows the five sampled communities and their scores and relationship between the scrap metals and the amount realized from the business. The total scores shows = 33.83 calculated value. Thus, the degree of freedom = 4. Therefore, the critical value from the chi-square table against 4 degree of freedom at the 95% probability level = 9.49. The decision rule thus is; the calculated value of 33.83 is greater than the critical value</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Number of years in business</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Numbers of Years in the Business</th><th align="center" valign="middle"  colspan="2"  >Choba</th><th align="center" valign="middle"  colspan="2"  >Eliozu</th><th align="center" valign="middle"  colspan="2"  >Rumuokoro</th><th align="center" valign="middle"  colspan="2"  >Rumuodumaya</th><th align="center" valign="middle"  colspan="2"  >Rumuolumeni</th><th align="center" valign="middle"  colspan="2"  >Row Total</th></tr></thead><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >1 - 5 Years</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >14.4</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >16.6</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >16.6</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >124</td><td align="center" valign="middle" >68.7</td></tr><tr><td align="center" valign="middle" >6 - 10 Years</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >8.8</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >54.4</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >4.4</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >8.8</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >29.7</td></tr><tr><td align="center" valign="middle" >11 - 15 Years</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.1</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.1</td></tr><tr><td align="center" valign="middle" >Column Total</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >99.5</td></tr></tbody></table></table-wrap><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Number of years in business</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/8-6702568x14.png"/></fig><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Place of origin of scavengers</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Place of Origin</th><th align="center" valign="middle"  colspan="2"  >Choba</th><th align="center" valign="middle"  colspan="2"  >Eliozu</th><th align="center" valign="middle"  colspan="2"  >Rumuokoro</th><th align="center" valign="middle"  colspan="2"  >Rumuodumaya</th><th align="center" valign="middle"  colspan="2"  >Rumuolumeni</th><th align="center" valign="middle"  colspan="2"  >Row Total</th></tr></thead><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Within Port Harcourt</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >From Rivers State</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.1</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.1</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2.2</td></tr><tr><td align="center" valign="middle" >Outside Rivers State</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >18.8</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >18.8</td><td align="center" valign="middle" >176</td><td align="center" valign="middle" >97.6</td></tr><tr><td align="center" valign="middle" >Non-Nigerian</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Column Total</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >99.8</td></tr></tbody></table></table-wrap><p>of 9.49, we therefore reject the null hypothesis and accept the alternate hypothesis, which says that the amount of money realizable from scrap metal is dependent on the volume generated of scrap gathered.</p></sec><sec id="s4"><title>4. Findings</title><p>The hypothesis tested in the research has highlighted some major findings that the activities of scavengers creates employment and also assist in the cleanliness of the environment. Furthermore, from <xref ref-type="table" rid="table4">Table 4</xref>, which shows the educational attainment of the scavengers, it revealed that 59.8% do not have any formal education which is why they carry out the activities without recourse to safety and their health is at risk. <xref ref-type="table" rid="table7">Table 7</xref> shows that scavenging is a profession that not only creates employment but also generates income which if encouraged by the government can serve as a source provision of employment for the teaming youths and generation of in-</p><fig id="fig5"  position="float"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> Place of origin of scavengers</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/8-6702568x15.png"/></fig><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Estimated income generated by scavenger per month</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Estimated Income</th><th align="center" valign="middle"  colspan="2"  >Choba</th><th align="center" valign="middle"  colspan="2"  >Eliozu</th><th align="center" valign="middle"  colspan="2"  >Rumuokoro</th><th align="center" valign="middle"  colspan="2"  >Rumuodumaya</th><th align="center" valign="middle"  colspan="2"  >Rumuolumeni</th><th align="center" valign="middle"  colspan="2"  >Row Total</th></tr></thead><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >N50,000</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >28.1</td></tr><tr><td align="center" valign="middle" >N100,000</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >13.8</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >13.8</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >16.6</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >60.8</td></tr><tr><td align="center" valign="middle" >N150,000</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >8.7</td></tr><tr><td align="center" valign="middle" >N200,000</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.6</td></tr><tr><td align="center" valign="middle" >N250,000</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Column Total</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >99.2</td></tr></tbody></table></table-wrap><fig id="fig6"  position="float"><label><xref ref-type="fig" rid="fig6">Figure 6</xref></label><caption><title> Estimated income generated by scavengers</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/8-6702568x16.png"/></fig><p>ternal revenue to local government, the state and the federal government. The hypothesis test proved that there exist a relationship between the volume of scrap metal waste recycled and the amount of money that can be realized.</p><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Chi-square contingency table test for relationship between volume of scrap metal and amount realized by scavengers</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Categories of Sampled Areas</th><th align="center" valign="middle"  colspan="2"  >Choba</th><th align="center" valign="middle"  colspan="2"  >Eliozu</th><th align="center" valign="middle"  colspan="2"  >Rumuokoro</th><th align="center" valign="middle"  colspan="2"  >Rumuodumaya</th><th align="center" valign="middle"  colspan="2"  >Rumuolumeni</th><th align="center" valign="middle"  colspan="2"  >Row Total</th></tr></thead><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(10.2)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >(22)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >(3.2)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(10.2)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >(22)</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >(3.2)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(10.2)</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >(22)</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >(3.2)</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >(10.2)</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >(22)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(3.2)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >5</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >(10.2)</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(22)</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >(3.2)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Column Total</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >110</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >16</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >180</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap>Recommendation<p>Measures to achieve effective activities of scavengers in scrap metal recycling in the local government and state some recommendations are suggested:</p><p>・ There should be promulgated a law by the government to encourage scavenging, protection and remuneration so as to make it attractive to the youths.</p><p>・ That since scavenging provides and benefits our society; it should be supported and not persecuted. The scavengers should be formally recruited by the government to carry out the segregation of solid waste which will reduce the amount of waste that needs to be collected for disposal.</p><p>・ For those who make their livelihood from collecting, sorting, or otherwise handling waste, measures should be adopted to provide them with the requisite safety.</p><p>Protective wears to improve their work environment.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.55162-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Adeyemi, A.O. (2001) Waste Scavenging in Third World Cities: A Case Study in Ilorin City. An Inaugural Lecture University of Ilorin, Nigeria.</mixed-citation></ref><ref id="scirp.55162-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Tchnobauoglous, G., Theisen, H. and Vigil, S. (1993) Evolution of Solid Waste Management in Integrated Solid Waste Management in Perugia. 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