{"title":"尼日利亚的一些人口结构和经济增长(2003-2022 年)","authors":"S. A. Abdulazeez","doi":"10.4314/dujopas.v10i1b.18","DOIUrl":null,"url":null,"abstract":"Effective development planning necessitates the integration of sound social and economic planning strategies. In Nigeria, demographic and population data play a crucial role in shaping these plans. This research investigates the impact of demographic structure on the country's economy, with a specific focus on key characteristics such as population size, birth rate, mortality rate, growth rate, GDP growth rate, and fertility rate. The study analyzes demographic features alongside GDP growth rate data spanning from 2003 to 2022. The findings reveal a robust correlation between birth rates and GDP growth, indicating that population dynamics significantly influence economic development. Additionally, positive relationships are identified between death rates and GDP growth, underscoring the impact of mortality issues on economic outcomes. The regression model demonstrates that demographic factors collectively mold Nigeria's economic growth trajectory, shedding light on the intricate dynamics between demography and economic development. Through time series analysis, the model exhibits low errors and high explanatory power. However, residual analysis highlights serial association, emphasizing the temporal demographic effects on economic growth. Ultimately, the study underscores the potential contributions of demographic characteristics to Nigeria's economy. Policymakers and economists keen on leveraging demographic shifts for economic advancement will find valuable insights in this research. As demographic considerations increasingly play a pivotal role in Nigeria's economic growth, strategic planning and decision-making must take these factors into account.","PeriodicalId":479620,"journal":{"name":"Dutse Journal of Pure and Applied Sciences","volume":"5 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Some Demographic Structures and Economic Growth in Nigeria (2003–2022)\",\"authors\":\"S. A. Abdulazeez\",\"doi\":\"10.4314/dujopas.v10i1b.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Effective development planning necessitates the integration of sound social and economic planning strategies. In Nigeria, demographic and population data play a crucial role in shaping these plans. 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引用次数: 0
摘要
有效的发展规划必须结合合理的社会和经济规划战略。在尼日利亚,人口和人口数据在制定这些规划方面发挥着至关重要的作用。本研究调查了人口结构对尼日利亚经济的影响,重点关注人口规模、出生率、死亡率、增长率、GDP 增长率和生育率等关键特征。研究分析了 2003 年至 2022 年期间的人口特征和 GDP 增长率数据。 研究结果表明,出生率与 GDP 增长率之间存在密切的相关性,这表明人口动态对经济发展有重大影响。此外,死亡率与 GDP 增长率之间也存在正相关关系,凸显了死亡率问题对经济成果的影响。回归模型表明,人口因素共同塑造了尼日利亚的经济增长轨迹,揭示了人口与经济发展之间错综复杂的动态关系。通过时间序列分析,该模型误差小,解释力高。然而,残差分析突出了序列关联,强调了人口对经济增长的时间影响。最终,该研究强调了人口特征对尼日利亚经济的潜在贡献。热衷于利用人口变化促进经济发展的政策制定者和经济学家将从本研究中获得有价值的见解。随着人口因素在尼日利亚经济增长中日益发挥关键作用,战略规划和决策必须考虑到这些因素。
On Some Demographic Structures and Economic Growth in Nigeria (2003–2022)
Effective development planning necessitates the integration of sound social and economic planning strategies. In Nigeria, demographic and population data play a crucial role in shaping these plans. This research investigates the impact of demographic structure on the country's economy, with a specific focus on key characteristics such as population size, birth rate, mortality rate, growth rate, GDP growth rate, and fertility rate. The study analyzes demographic features alongside GDP growth rate data spanning from 2003 to 2022. The findings reveal a robust correlation between birth rates and GDP growth, indicating that population dynamics significantly influence economic development. Additionally, positive relationships are identified between death rates and GDP growth, underscoring the impact of mortality issues on economic outcomes. The regression model demonstrates that demographic factors collectively mold Nigeria's economic growth trajectory, shedding light on the intricate dynamics between demography and economic development. Through time series analysis, the model exhibits low errors and high explanatory power. However, residual analysis highlights serial association, emphasizing the temporal demographic effects on economic growth. Ultimately, the study underscores the potential contributions of demographic characteristics to Nigeria's economy. Policymakers and economists keen on leveraging demographic shifts for economic advancement will find valuable insights in this research. As demographic considerations increasingly play a pivotal role in Nigeria's economic growth, strategic planning and decision-making must take these factors into account.