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<title>Faculty of Social Sciences</title>
<link href="http://localhost:8080/xmlui/handle/123456789/9" rel="alternate"/>
<subtitle/>
<id>http://localhost:8080/xmlui/handle/123456789/9</id>
<updated>2026-04-05T18:12:35Z</updated>
<dc:date>2026-04-05T18:12:35Z</dc:date>
<entry>
<title>BEING AN ECONOMIST: THE HOMO ECONOMICUS</title>
<link href="http://localhost:8080/xmlui/handle/123456789/2999" rel="alternate"/>
<author>
<name>Akpan, Michael S.</name>
</author>
<id>http://localhost:8080/xmlui/handle/123456789/2999</id>
<updated>2026-01-09T13:08:25Z</updated>
<published>2025-10-21T00:00:00Z</published>
<summary type="text">BEING AN ECONOMIST: THE HOMO ECONOMICUS
Akpan, Michael S.
</summary>
<dc:date>2025-10-21T00:00:00Z</dc:date>
</entry>
<entry>
<title>ESSENTIALS IN SOCIOLOGY</title>
<link href="http://localhost:8080/xmlui/handle/123456789/2924" rel="alternate"/>
<author>
<name>Iguodala-Cole, Hope</name>
</author>
<id>http://localhost:8080/xmlui/handle/123456789/2924</id>
<updated>2024-10-03T08:24:57Z</updated>
<published>2024-09-30T00:00:00Z</published>
<summary type="text">ESSENTIALS IN SOCIOLOGY
Iguodala-Cole, Hope
</summary>
<dc:date>2024-09-30T00:00:00Z</dc:date>
</entry>
<entry>
<title>MACROECONOMIC DETERMINANTS OF STOCK MARKET PERFORMANCE IN NIGERIA, 1986-2013</title>
<link href="http://localhost:8080/xmlui/handle/123456789/2712" rel="alternate"/>
<author>
<name>Anyanwu, Sarah</name>
</author>
<author>
<name>Aiyedogbon, John O.</name>
</author>
<author>
<name>ISA, Grace H.</name>
</author>
<id>http://localhost:8080/xmlui/handle/123456789/2712</id>
<updated>2024-08-26T14:08:12Z</updated>
<published>2014-09-01T00:00:00Z</published>
<summary type="text">MACROECONOMIC DETERMINANTS OF STOCK MARKET PERFORMANCE IN NIGERIA, 1986-2013
Anyanwu, Sarah; Aiyedogbon, John O.; ISA, Grace H.
The paper is part of larger research agenda with the purpose of exploring some of the&#13;
determinants of stock market in Nigeria for the periodl980-2013. The variables employed&#13;
included market capitalization, per capita income, interest rate, exchange rate, inflation and the&#13;
economy level of openness. The econometric methodology is error correction model and it was&#13;
discovered that interest rate, inflation and past level of market capitalization were the major&#13;
determining factors for trading activities at the NSE. However, the negative impact of inflation,&#13;
interest rate and per capita income revealed by the study is beginning to assume a dangerous&#13;
dimension. The paper therefore recommended that the monetary authority should ensure&#13;
moderate interest rate that encourages investment even as the current double digit inflation in&#13;
the economy should be checked.
</summary>
<dc:date>2014-09-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>SOCIO-ECONOMIC DETERMINANTS OF RURAL WOMEN ACCESS TO FORMAL AGRICULTURAL CREDIT</title>
<link href="http://localhost:8080/xmlui/handle/123456789/2711" rel="alternate"/>
<author>
<name>ISA, Grace H.</name>
</author>
<author>
<name>Olowu, Josephine</name>
</author>
<id>http://localhost:8080/xmlui/handle/123456789/2711</id>
<updated>2024-08-26T07:59:46Z</updated>
<published>2017-08-01T00:00:00Z</published>
<summary type="text">SOCIO-ECONOMIC DETERMINANTS OF RURAL WOMEN ACCESS TO FORMAL AGRICULTURAL CREDIT
ISA, Grace H.; Olowu, Josephine
Rural -women in Kaduna state are actively involved in agricultural production. They constitute the&#13;
bulk of agricultural producers in the state. Most of these women are poor and the only alternative for&#13;
raising capital has continued to elude them. Obtaining loan from the banks (formal) was more&#13;
problematic than the informal source that is, the non organised sector. This study therefore,&#13;
investigated rural women access to formal credit. Primary data were collected through the use of&#13;
structured questionnaire and Focus Group Discussion (FGD). A multi-stage random sampling&#13;
technique was applied in the selection of eighty (80) women farmers. Each Local Government Areas&#13;
had (40) respondents. The analytical tools used are frequencies, crosstab and percentages. The chi-&#13;
square was also used to test the null hypotheses that there was a significant relationship between&#13;
socio-economic factors and access to credit. It was discovered that 17 percent of rural women&#13;
sourced credit from formal sources such as commercial banks, agricultural banks) and 83 percent.&#13;
They got theirs from informal sources such as friends, relatives, NGOs and personal saving. The&#13;
difficulty in accessing formal credit was due to socio-economic factors. The cross tabulation and chi-&#13;
square analysis showed that occupation, education and landownership had influenced on access to&#13;
agricultural credit. Socio-economic factors like age, family size, farm size had no influence on&#13;
access to credit. Recommendations were made which includes reviewing the Land Use Act,&#13;
improving education for rural women amongst others.
</summary>
<dc:date>2017-08-01T00:00:00Z</dc:date>
</entry>
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