Live Covid-19
United States 100,863,106
Cases: 100,863,106
Deaths: 1,106,860
Recovered: 98,283,998
Active: 1,472,248
India 44,674,667
Cases: 44,674,667
Deaths: 530,630
Recovered: 44,138,554
Active: 5,483
France 38,067,974
Cases: 38,067,974
Deaths: 159,093
Recovered: 36,974,097
Active: 934,784
Germany 36,557,861
Cases: 36,557,861
Deaths: 158,198
Recovered: 35,913,000
Active: 486,663
Brazil 35,408,852
Cases: 35,408,852
Deaths: 690,231
Recovered: 34,262,104
Active: 456,517
South Korea 27,331,250
Cases: 27,331,250
Deaths: 30,769
Recovered: 26,382,172
Active: 918,309
Japan 25,220,452
Cases: 25,220,452
Deaths: 50,344
Recovered: 20,754,250
Active: 4,415,858
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: 23,754,601
Active: 72,892
Russia 21,617,601
Cases: 21,617,601
Deaths: 392,231
Recovered: 21,018,980
Active: 206,390
Turkey 17,005,537
Cases: 17,005,537
Deaths: 101,400
Recovered:
Active: 16,904,137
Spain 13,614,807
Cases: 13,614,807
Deaths: 116,108
Recovered: 13,403,322
Active: 95,377
Vietnam 11,517,722
Cases: 11,517,722
Deaths: 43,177
Recovered: 10,608,922
Active: 865,623
Australia 10,754,429
Cases: 10,754,429
Deaths: 16,244
Recovered: 10,546,102
Active: 192,083
Argentina 9,739,856
Cases: 9,739,856
Deaths: 130,034
Recovered: 9,590,198
Active: 19,624
Netherlands 8,544,770
Cases: 8,544,770
Deaths: 22,920
Recovered: 8,498,809
Active: 23,041
Taiwan 8,369,226
Cases: 8,369,226
Deaths: 14,478
Recovered: 8,036,406
Active: 318,342
Iran 7,559,855
Cases: 7,559,855
Deaths: 144,640
Recovered: 7,335,301
Active: 79,914
Mexico 7,132,792
Cases: 7,132,792
Deaths: 330,525
Recovered: 6,400,759
Active: 401,508
Indonesia 6,680,203
Cases: 6,680,203
Deaths: 159,978
Recovered: 6,469,238
Active: 50,987
Poland 6,354,402
Cases: 6,354,402
Deaths: 118,340
Recovered: 5,335,940
Active: 900,122
Colombia 6,318,021
Cases: 6,318,021
Deaths: 141,911
Recovered: 6,142,640
Active: 33,470
Austria 5,576,695
Cases: 5,576,695
Deaths: 21,232
Recovered: 5,508,210
Active: 47,253
Portugal 5,546,290
Cases: 5,546,290
Deaths: 25,517
Recovered: 5,500,769
Active: 20,004
Greece 5,404,690
Cases: 5,404,690
Deaths: 34,309
Recovered: 5,338,821
Active: 31,560
Ukraine 5,341,284
Cases: 5,341,284
Deaths: 110,586
Recovered: 5,216,858
Active: 13,840
Malaysia 5,000,332
Cases: 5,000,332
Deaths: 36,713
Recovered: 4,941,114
Active: 22,505
Chile 4,937,047
Cases: 4,937,047
Deaths: 62,571
Recovered: 4,858,162
Active: 16,314
North Korea 4,772,813
Cases: 4,772,813
Deaths: 74
Recovered: 4,772,739
Active: 0
Israel 4,727,322
Cases: 4,727,322
Deaths: 11,878
Recovered: 4,704,016
Active: 11,428

Government Access to Finance and Economic Growth: A Case of Selected States in Southeast, Nigeria

Government Access to Finance and Economic Growth: A Case of Selected States in Southeast, Nigeria

ABSTRACT

ABSTRACT

The study empirically explored the effect of Government access to finance on economic growth in Nigeria. Specifically, the study focused on determining the influence of access to finance from statutory allocation, internal sources and Value-added Tax (VAT) on GDP in Southeast, Nigeria. The period covered the five South-East states in Nigeria: Abia, Anambra, Ebonyi, Enugu and Imo state for the period of 19 years (2000-2018). Research design adopted was ex-post facto design while the panel data used in the study was extracted from the annual financial statement of each of the selected states in Southeast, Nigeria through the office of the Accountant-Generals of the respective states. This formed the independent variables while the data for the dependent variable was collected from the office of National Bureau of Statistics for the same period (2000-2018). The panel secondary data were analyzed using descriptive statistics, Pearson’s correlation, and panel multiple regression at 5% level of significance. Outcome of the study revealed that access to finance from statutory allocation, internal sources, and value-added tax have significant and positive influence on economic growth of southeast, Nigeria at 5% level of significance. The study concludes that all the independent variables jointly explain approximately 69% of the total variations in GDP while other variables not captured in the model account for the rest. Also, the p-value of the F-statistics < 0.001 shows that the model is a good one. The study therefore, recommended that Government of Southeast States should take special note of revenue generated from statutory allocation, internal sources, value-added tax, and loans as these have significant influences on economic growth.

Keywords: Government Access to Finance, Economic Growth, Value-added Tax (VAT)

Authorship
1Agana, Ogagaoghene John, PhD.; 2Okwo, Ifeoma Mary, Ph.D.; 3Obasi, Ama Ibiam, Ph.D.; and 4Ojonta, Buchi Austin | Full PDF

 

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