Live Covid-19
United States 100,906,111
Cases: 100,906,111
Deaths: 1,106,990
Recovered: 98,320,554
Active: 1,478,567
India 44,674,874
Cases: 44,674,874
Deaths: 530,630
Recovered: 44,138,554
Active: 5,690
France 38,078,565
Cases: 38,078,565
Deaths: 159,245
Recovered: 37,022,916
Active: 896,404
Germany 36,557,861
Cases: 36,557,861
Deaths: 158,198
Recovered: 35,913,000
Active: 486,663
Brazil 35,436,031
Cases: 35,436,031
Deaths: 690,298
Recovered: 34,262,104
Active: 483,629
South Korea 27,408,854
Cases: 27,408,854
Deaths: 30,793
Recovered: 26,431,550
Active: 946,511
Japan 25,268,073
Cases: 25,268,073
Deaths: 50,461
Recovered: 20,766,771
Active: 4,450,841
Italy 24,488,080
Cases: 24,488,080
Deaths: 181,733
Recovered: 23,799,178
Active: 507,169
United Kingdom 24,024,746
Cases: 24,024,746
Deaths: 197,253
Recovered: 23,758,420
Active: 69,073
Russia 21,623,268
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Deaths: 392,283
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Turkey 17,005,537
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Deaths: 101,400
Recovered: –
Active: 16,904,137
Spain 13,614,807
Cases: 13,614,807
Deaths: 116,108
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Active: 95,377
Vietnam 11,518,149
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Deaths: 43,177
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Active: 865,984
Australia 10,759,272
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Deaths: 16,264
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Active: 196,906
Argentina 9,739,856
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Deaths: 130,034
Recovered: 9,591,684
Active: 18,138
Netherlands 8,544,770
Cases: 8,544,770
Deaths: 22,920
Recovered: 8,499,904
Active: 21,946
Taiwan 8,379,467
Cases: 8,379,467
Deaths: 14,500
Recovered: 8,054,926
Active: 310,041
Iran 7,559,924
Cases: 7,559,924
Deaths: 144,645
Recovered: 7,335,330
Active: 79,949
Mexico 7,132,792
Cases: 7,132,792
Deaths: 330,525
Recovered: 6,400,759
Active: 401,508
Indonesia 6,682,437
Cases: 6,682,437
Deaths: 160,026
Recovered: 6,474,271
Active: 48,140
Poland 6,354,511
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Deaths: 118,340
Recovered: 5,335,940
Active: 900,231
Colombia 6,318,021
Cases: 6,318,021
Deaths: 141,911
Recovered: 6,142,640
Active: 33,470
Austria 5,583,979
Cases: 5,583,979
Deaths: 21,230
Recovered: 5,515,749
Active: 47,000
Portugal 5,546,290
Cases: 5,546,290
Deaths: 25,517
Recovered: 5,501,942
Active: 18,831
Greece 5,404,690
Cases: 5,404,690
Deaths: 34,309
Recovered: 5,345,133
Active: 25,248
Ukraine 5,341,284
Cases: 5,341,284
Deaths: 110,586
Recovered: 5,217,903
Active: 12,795
Malaysia 5,001,908
Cases: 5,001,908
Deaths: 36,716
Recovered: 4,943,392
Active: 21,800
Chile 4,939,304
Cases: 4,939,304
Deaths: 62,587
Recovered: 4,867,554
Active: 9,163
North Korea 4,772,813
Cases: 4,772,813
Deaths: 74
Recovered: 4,772,739
Active: 0
Israel 4,729,614
Cases: 4,729,614
Deaths: 11,882
Recovered: 4,704,016
Active: 13,716

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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