Live Covid-19
United States 84,797,061
Cases: 84,797,061
Deaths: 1,028,298
Recovered: 81,487,016
Active: 2,281,747
India 43,131,135
Cases: 43,131,135
Deaths: 524,303
Recovered: 42,589,841
Active: 16,991
Brazil 30,752,226
Cases: 30,752,226
Deaths: 665,491
Recovered: 29,746,640
Active: 340,095
France 29,291,146
Cases: 29,291,146
Deaths: 147,715
Recovered: 28,448,155
Active: 695,276
Germany 26,013,283
Cases: 26,013,283
Deaths: 138,488
Recovered: 24,425,500
Active: 1,449,295
United Kingdom 22,232,377
Cases: 22,232,377
Deaths: 177,890
Recovered: 21,774,064
Active: 280,423
Russia 18,278,617
Cases: 18,278,617
Deaths: 378,072
Recovered: 17,670,628
Active: 229,917
South Korea 17,889,849
Cases: 17,889,849
Deaths: 23,842
Recovered: 17,251,847
Active: 614,160
Italy 17,178,199
Cases: 17,178,199
Deaths: 165,738
Recovered: 16,119,286
Active: 893,175
Turkey 15,060,112
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Deaths: 98,918
Recovered: 14,957,668
Active: 3,526
Spain 12,179,234
Cases: 12,179,234
Deaths: 105,642
Recovered: 11,588,576
Active: 485,016
Vietnam 10,704,524
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Deaths: 43,073
Recovered: 9,382,881
Active: 1,278,570
Argentina 9,135,308
Cases: 9,135,308
Deaths: 128,776
Recovered: 8,895,999
Active: 110,533
Japan 8,474,651
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Deaths: 30,175
Recovered: 8,096,825
Active: 347,651
Netherlands 8,074,152
Cases: 8,074,152
Deaths: 22,301
Recovered: 8,004,183
Active: 47,668
Iran 7,229,354
Cases: 7,229,354
Deaths: 141,253
Recovered: 7,028,491
Active: 59,610
Australia 6,813,633
Cases: 6,813,633
Deaths: 7,977
Recovered: 6,370,466
Active: 435,190
Colombia 6,095,316
Cases: 6,095,316
Deaths: 139,821
Recovered: 5,928,829
Active: 26,666
Indonesia 6,051,850
Cases: 6,051,850
Deaths: 156,510
Recovered: 5,891,574
Active: 3,766
Poland 6,004,786
Cases: 6,004,786
Deaths: 116,242
Recovered: 5,335,196
Active: 553,348
Mexico 5,752,441
Cases: 5,752,441
Deaths: 324,617
Recovered: 5,050,420
Active: 377,404
Ukraine 5,009,301
Cases: 5,009,301
Deaths: 108,497
Recovered:
Active: 4,900,804
Malaysia 4,485,419
Cases: 4,485,419
Deaths: 35,633
Recovered: 4,419,997
Active: 29,789
Thailand 4,394,915
Cases: 4,394,915
Deaths: 29,640
Recovered: 4,305,699
Active: 59,576
Austria 4,225,674
Cases: 4,225,674
Deaths: 18,328
Recovered: 4,156,309
Active: 51,037
Belgium 4,127,123
Cases: 4,127,123
Deaths: 31,656
Recovered: 3,967,010
Active: 128,457
Israel 4,117,079
Cases: 4,117,079
Deaths: 10,826
Recovered: 4,083,611
Active: 22,642
Portugal 4,066,674
Cases: 4,066,674
Deaths: 22,583
Recovered:
Active: 4,044,091
Czechia 3,917,289
Cases: 3,917,289
Deaths: 40,260
Recovered: 3,873,501
Active: 3,528
South Africa 3,915,258
Cases: 3,915,258
Deaths: 100,898
Recovered: 3,733,569
Active: 80,791

Analysis of Socio-Economic Factors Motivating and De-Motivating Women Entrepreneurial Activities in Kogi State

Analysis of Socio-Economic Factors Motivating and De-Motivating Women Entrepreneurial Activities in Kogi State

ABSTRACT

Women are faced with socio-economic factors which affect their entrepreneurial activities and survival rate in Kogi State. Many scholarly researches have skewed, using instrument applicable to men in conducting research that are women exclusive; particularly in the socio-economic aspect of women entrepreneurship. Thus, the study investigated the socio-economic factors motivating and de-motivating women entrepreneurial activities and performance in Kogi State, Nigeria. Based on the non-empirical nature of this study, qualitative approach was adopted. The study found that the socio-economic factors motivating and de-motivating women entrepreneurial activities in Kogi State have not received attention, and these factors have strong implication on their performance. The study concludes that motivating women entrepreneurs in Kogi State is one of the best approach to enhancing economic development, and that there are socio-economic factors such as age, education, business experience, marital status, income, social security and technology that serve as motivators to women entrepreneurs when they appear not below average. The disappearance of this factor may actually lead to de-motivation of these women entrepreneurs in Kogi State. The study recommends that the prime socio-economic factors motivating and de-motivating women entrepreneurial activities in Kogi State should be identified.

Keywords: Socio-Economic Factors, Motivating, De-Motivating, Women, Entrepreneurial Activities, Kogi State

Authors: Ademu, Yunusa, PhD., Agada, S.R., Adejoh, M.I., PhD. and Halilu, U.

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