Government Infrastructure Spending and Economic Growth in Kenya: An Autoregressive Distributed Lag Model Approach

نویسندگان

چکیده

Purpose: Since independence, the Government of Kenya has pursued many objectives, one being economic growth. Over previous few years, government expenditure been developing faster than GDP Infrastructure, components public spending, also experienced tremendous growth in spending and development, which not directly reflected rate. Following such situation, it calls for analyzing impact that infrastructure on with a focal point three sectors beneath sector spends closely on; transport, energy fuel, Information Communication Technology (ICT). The study's overall objective is to find out effects sampled then draw policy implications from findings. specific objectives were; investigate effect transport Kenya, examine & fuel ICT Kenya. Further, Bounds F-test cointegration as well Autoregressive Distributed Lag Model (ARDL) were used realize objectives.
 Methodology: data was collected covered 1990 – 2020 infrastructure: ICT. Several tests time series carried secondary obtained, after employed analysing data.
 Findings: outcome showed energy, affected either short or long run. Based ECM regression findings, long-run revealed promotes On contrast, findings exhibited negative Public positively impacted term, while GDP. Other control variables inclusive trade openness FDI positive Inflation, particularly, run, addition within run.
 Unique Contribution Theory, Practice Policy: empirical this study validates Keynesian theory stipulates contributes theory, an exogenous factor capable applied instrument promoting

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ژورنال

عنوان ژورنال: International journal of economics

سال: 2023

ISSN: ['2518-8437']

DOI: https://doi.org/10.47604/ijecon.1780