Socio-Economic and Infrastructural Challenges Affecting the Competitiveness of Nigeria Soybean Production in International Trade: Auto-Regressive Distributive Lag Approach

Ibrahim Maharazu; Olugbenga Omotayo Alabı; Sunday Mailumo; Jeremiah Aluwong; Jerry Oluwatosin Bako; Hassan Isah

Makale detayları

Socio-Economic and Infrastructural Challenges Affecting the Competitiveness of Nigeria Soybean Production in International Trade: Auto-Regressive Distributive Lag Approach

Yazarlar:

Ibrahim Maharazu | Olugbenga Omotayo Alabı | Sunday Mailumo | Jeremiah Aluwong | Jerry Oluwatosin Bako | Hassan Isah

Yayıncı:

Selcuk University

Ana Başlıklar:

Sürdürülebilir Tarımsal Kalkınma | Tarım Politikaları | Tarım Ekonomisi (Diğer)

Dergi:

Selcuk Journal of Agriculture and Food Sciences Vol.39 Issue 1, pp.11-19

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001335411

pISSN:

2458-8377

Anahtar kelimeler:

Özet:

 This research study examined factors determining the competitiveness of Nigerian soyabean production in international trade: ARDL Auto-Regressive Distributive Lag Approach. Data of secondary sources were used. The data covered the period of 2007 to 2022. Data were obtained from FAO, CBN, NBS, World Bank publication, and GHS-P. The econometric tools employed were descriptive statistics, ADF unit root test, and ARDL Model. The outcome of ADF unit root test reveals that ARE and RER are stationary at I 0 level, while SOY, YED, and WOT were stationary at I 1 First difference. The ARDL employed for co-integration test for the time series data shows that the computed F- statistics of 13.69 is more than the value at upper bound value of 4.09 at the 5 level of significance, this connotes that there is long run association between the regressors in the model The estimated long run outcome using ARDL show that ARE, YED are the significant regressors influencing the competitiveness soyabean production in international market The speed of regulation to where soyabean will balance even when there is disequilibrium is at the rate of 86. Policies that would stimulate export of soyabean should be carry out and enhancing research activities on improving quality of soyabean produced.

 This research study examined factors determining the competitiveness of Nigerian soyabean production in international trade: ARDL Auto-Regressive Distributive Lag Approach. Data of secondary sources were used. The data covered the period of 2007 to 2022. Data were obtained from FAO, CBN, NBS, World Bank publication, and GHS-P. The econometric tools employed were descriptive statistics, ADF unit root test, and ARDL Model. The outcome of ADF unit root test reveals that ARE and RER are stationary at I 0 level, while SOY, YED, and WOT were stationary at I 1 First difference. The ARDL employed for co-integration test for the time series data shows that the computed F- statistics of 13.69 is more than the value at upper bound value of 4.09 at the 5 level of significance, this connotes that there is long run association between the regressors in the model The estimated long run outcome using ARDL show that ARE, YED are the significant regressors influencing the competitiveness soyabean production in international market The speed of regulation to where soyabean will balance even when there is disequilibrium is at the rate of 86. Policies that would stimulate export of soyabean should be carry out and enhancing research activities on improving quality of soyabean produced.

 This research study examined factors determining the competitiveness of Nigerian soyabean production in international trade: ARDL Auto-Regressive Distributive Lag Approach. Data of secondary sources were used. The data covered the period of 2007 to 2022. Data were obtained from FAO, CBN, NBS, World Bank publication, and GHS-P. The econometric tools employed were descriptive statistics, ADF unit root test, and ARDL Model. The outcome of ADF unit root test reveals that ARE and RER are stationary at I 0 level, while SOY, YED, and WOT were stationary at I 1 First difference. The ARDL employed for co-integration test for the time series data shows that the computed F- statistics of 13.69 is more than the value at upper bound value of 4.09 at the 5 level of significance, this connotes that there is long run association between the regressors in the model The estimated long run outcome using ARDL show that ARE, YED are the significant regressors influencing the competitiveness soyabean production in international market The speed of regulation to where soyabean will balance even when there is disequilibrium is at the rate of 86. Policies that would stimulate export of soyabean should be carry out and enhancing research activities on improving quality of soyabean produced.

 This research study examined factors determining the competitiveness of Nigerian soyabean production in international trade: ARDL Auto-Regressive Distributive Lag Approach. Data of secondary sources were used. The data covered the period of 2007 to 2022. Data were obtained from FAO, CBN, NBS, World Bank publication, and GHS-P. The econometric tools employed were descriptive statistics, ADF unit root test, and ARDL Model. The outcome of ADF unit root test reveals that ARE and RER are stationary at I 0 level, while SOY, YED, and WOT were stationary at I 1 First difference. The ARDL employed for co-integration test for the time series data shows that the computed F- statistics of 13.69 is more than the value at upper bound value of 4.09 at the 5 level of significance, this connotes that there is long run association between the regressors in the model The estimated long run outcome using ARDL show that ARE, YED are the significant regressors influencing the competitiveness soyabean production in international market The speed of regulation to where soyabean will balance even when there is disequilibrium is at the rate of 86. Policies that would stimulate export of soyabean should be carry out and enhancing research activities on improving quality of soyabean produced.

Makale detayları

Socio-Economic and Infrastructural Challenges Affecting the Competitiveness of Nigeria Soybean Production in International Trade: Auto-Regressive Distributive Lag Approach

Yazarlar:

Ibrahim Maharazu | Olugbenga Omotayo Alabı | Sunday Mailumo | Jeremiah Aluwong | Jerry Oluwatosin Bako | Hassan Isah

Yayıncı:

Selcuk University

Ana Başlıklar:

Sürdürülebilir Tarımsal Kalkınma | Tarım Politikaları | Tarım Ekonomisi (Diğer)

Dergi:

Selcuk Journal of Agriculture and Food Sciences Vol.39 Issue 1, pp.11-19

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001335411

pISSN:

2458-8377

Competitiveness

Nigerian Soybean

Production

Auto-Regressive Distributive Lag Model

Factors

Sayı

Makale detayları

Socio-Economic and Infrastructural Challenges Affecting the Competitiveness of Nigeria Soybean Production in International Trade: Auto-Regressive Distributive Lag Approach

Yazarlar: Ibrahim Maharazu | Olugbenga Omotayo Alabı | Sunday Mailumo | Jeremiah Aluwong | Jerry Oluwatosin Bako | Hassan Isah

Yayıncı: Selcuk University

Ana Başlıklar: Sürdürülebilir Tarımsal Kalkınma | Tarım Politikaları | Tarım Ekonomisi (Diğer)

Dergi: Selcuk Journal of Agriculture and Food Sciences Vol.39 Issue 1, pp.11-19

Belge Tipi: Makale

Yayın Tarihi: 3/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001335411

pISSN: 2458-8377

Competitiveness

Nigerian Soybean

Production

Auto-Regressive Distributive Lag Model

Factors

Sayı

Yazarlar:

Ibrahim Maharazu | Olugbenga Omotayo Alabı | Sunday Mailumo | Jeremiah Aluwong | Jerry Oluwatosin Bako | Hassan Isah

Yayıncı:

Selcuk University

Ana Başlıklar:

Sürdürülebilir Tarımsal Kalkınma | Tarım Politikaları | Tarım Ekonomisi (Diğer)

Dergi:

Selcuk Journal of Agriculture and Food Sciences Vol.39 Issue 1, pp.11-19

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001335411

pISSN:

2458-8377