
Les transitions démographiques et les avancées technologiques peuvent entraîner une perte nette de 5 millions d'emplois d'ici 2020 ; hence, à propos de 1,4 billion (1,4 billion) de la main-d' œuvre mondiale est vulnérable à l'inemploi. This is because a more significative percentage of tasks that are already being disrupted by automation are repetitive and standardized processes. At the same time, actions/jobs which require empathy, genuine creativity, and critical thinking will be in high demand in the new workforce, thereby achieving a human-machine collaboration. Thus, this study seeks to investigate the influence that technology has on employment in the Nigeria labor market and how Access to electricity and employment are connected using Nigeria as a case study. The unit root test was conducted via Phillip-Perron (PP) statistics and Augmented Dickey-Fuller (ADF) tests. The Auto-Regressive Distributed Lag (ARDL) model was also employed to evaluate the relationship between technology and employment in Nigeria using World Bank data (1960-2017). Results showed that technology and globalization have a long-run statistically significative inverse relationship with employment in Nigeria, which conforms to theory. Policy recommendations promote the acquisition of such skills encompassing critical thinking, empathy, and creativity to enable a better future for the Nigerian labor force.Keywords : Employment ; Labor ; Technology ; Globalization ; Nigeria.JEL Classifications : O14, E24, J21DOI : https://doi.org/10.32479/ijeep.10231
Las transiciones demográficas y los avances tecnológicos pueden llevar a una pérdida neta de 5 millones de puestos de trabajo en 2020; hence, about forty percent (1.4 billion) of the global workforce are vulnerable to unemployment. This is because a more significant percentage of tasks that are already being disrupted by automation are repetitive and standardized processes. At the same time, actions/jobs which require empathy, genuine creativity, and critical thinking will be in high demand in the new workforce, thereby achieving a human-machine collaboration. Thus, this study seeks to investigate the influence that technology has on employment in the Nigerian labor market and how Access to electricity and employment are connected using Nigeria as a case study. The unit root test was conducted via Phillip-Perron (PP) statistics and Augmented Dickey-Fuller (ADF) tests. The Auto-Regressive Distributed Lag (ARDL) model was also employed to evaluate the relationship between technology and employment in Nigeria using World Bank data (1960-2017). Results showed that technology and globalization have a long-run statistically significant inverse relationship with employment in Nigeria, which conforms to theory. Policy recommendations promote the acquisition of suchs skills encompassing critical thinking, empathy, and creativity to enable a better future for the Nigerian labor force.Keywords: Employment; Labor; Technology; Globalization; Nigeria.JEL Classifications: O14, E24, J21DOI: https://doi.org/10.32479/ijeep.10231
Demographic transitions and technological advancements may lead to a net loss of 5 million jobs by 2020; hence, about forty percent (1.4 billion) of the global workforce are vulnerable to unemployment. This is because a more significant percentage of tasks that are already being disrupted by automation are repetitive and standardized processes. At the same time, actions/jobs which require empathy, genuine creativity, and critical thinking will be in high demand in the new workforce, thereby achieving a human-machine collaboration. Thus, this study seeks to investigate the influence that technology has on employment in the Nigerian labor market and how Access to electricity and employment are connected using Nigeria as a case study. The unit root test was conducted via Phillip-Perron (PP) statistics and Augmented Dickey-Fuller (ADF) tests. The Auto-Regressive Distributed Lag (ARDL) model was also employed to evaluate the relationship between technology and employment in Nigeria using World Bank data (1960-2017). Results showed that technology and globalization have a long-run statistically significant inverse relationship with employment in Nigeria, which conforms to theory. Policy recommendations promote the acquisition of such skills encompassing critical thinking, empathy, and creativity to enable a better future for the Nigerian labor force.Keywords: Employment; Labor; Technology; Globalization; Nigeria.JEL Classifications: O14, E24, J21DOI: https://doi.org/10.32479/ijeep.10231
Demographic transitions and technological advancements may lead to a net loss of 5 million jobs by 2020; hence, about forty percent (1.4 billion) of the global workforce are vulnerable to unemployment. This is because a more significant percentage of tasks that are already being disrupted by automation are repetitive and standardised processes. At the same time, actions/jobs that require empathy, genuine creativity, and critical thinking will be in high demand in the new workforce, thereby achieving a human-machine collaboration. Thus, this study seeks to investigate the influence that technology has on employment in the Nigerian labor market and how Access to electricity and employment are connected using Nigeria as a case study. The unit root test was conducted via Phillip-Perron (PP) statistics and Augmented Dickey-Fuller (ADF) tests. The Auto-Regressive Distributed Lag (ARDL) model was also employed to evaluate the relationship between technology and employment in Nigeria using World Bank data (1960-2017). Results showed that technology and globalization have a long-run statistically significant inverse relationship with employment in Nigeria, which conforms to theory. Policy recommendations promote the acquisition of such skills encompassing critical thinking, empathy, and creativity to enable a better future for the Nigerian labor force.Keywords: Employment; Labor; Technology; Globalization; Nigeria.JEL Classifications: O14, E24, J21DOI: https://doi.org/10.32479/ijeep.10231
قد تؤدي التحولات الديموغرافية والتقدم التكنولوجي إلى خسارة صافية قدرها 5 ملايين وظيفة بحلول عام 2020 ؛ وبالتالي، فإن حوالي أربعين في المائة (1.4 مليار) من القوى العاملة العالمية معرضة للبطالة. ويرجع ذلك إلى أن نسبة أكبر من المهام التي تتعطل بالفعل بسبب الأتمتة هي عمليات متكررة وموحدة. في الوقت نفسه، سيكون هناك طلب كبير على الإجراءات/الوظائف التي تتطلب التعاطف والإبداع الحقيقي والتفكير النقدي في القوى العاملة الجديدة، وبالتالي تحقيق تعاون بين الإنسان والآلة. وبالتالي، تسعى هذه الدراسة إلى التحقيق في تأثير التكنولوجيا على التوظيف في سوق العمل النيجيري وكيفية ربط الوصول إلى الكهرباء والتوظيف باستخدام نيجيريا كدراسة حالة. تم إجراء اختبار جذر الوحدة من خلال إحصائيات فيليب بيرون (PP) واختبارات ديكي فولر المعززة (ADF). كما تم استخدام نموذج التأخر الموزع التلقائي الانحدار (ARDL) لتقييم العلاقة بين التكنولوجيا والتوظيف في نيجيريا باستخدام بيانات البنك الدولي (1960-2017). أظهرت النتائج أن التكنولوجيا والعولمة لهما علاقة عكسية ذات دلالة إحصائية طويلة المدى مع التوظيف في نيجيريا، وهو ما يتوافق مع النظرية. تعزز توصيات السياسة اكتساب مثل هذه المهارات التي تشمل التفكير النقدي والتعاطف والإبداع لتمكين مستقبل أفضل للقوى العاملة النيجيرية. الكلمات الرئيسية: التوظيف ؛ العمل ؛ التكنولوجيا ؛ العولمة ؛ نيجيريا. التصنيفات: O14، E24، J21DOI: https://doi.org/10.32479/ijeep.10231
H Social Sciences (General), Economics, FOS: Political science, Social Sciences, FOS: Law, Management Science and Operations Research, Decision Sciences, Creativity, Telecommunications Infrastructure and Economic Development, Engineering, Market economy, Media Technology, Indoor Air Pollution in Developing Countries, Business, Models and Dynamics of Technology Diffusion, Political science, Economic growth, HB Economic Theory, Labour economics, Pollution, Global Technology Spillover, Unemployment, Physical Sciences, Environmental Science, Workforce, Globalization, Law
H Social Sciences (General), Economics, FOS: Political science, Social Sciences, FOS: Law, Management Science and Operations Research, Decision Sciences, Creativity, Telecommunications Infrastructure and Economic Development, Engineering, Market economy, Media Technology, Indoor Air Pollution in Developing Countries, Business, Models and Dynamics of Technology Diffusion, Political science, Economic growth, HB Economic Theory, Labour economics, Pollution, Global Technology Spillover, Unemployment, Physical Sciences, Environmental Science, Workforce, Globalization, Law
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
