Leveraging Smart Technologies for Sustainable Economic Development: Evidence from Urban and Rural Communities in Bulawayo Province, Zimbabwe

Lawrence Dumisani Nyathi and Japhet Mutale
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Lawrence Dumisani Nyathi: National University of Science and Technology, Zimbabwe
Japhet Mutale: Homelink Pvt Limited, Zimbabwe

African Journal of Commercial Studies, 2025, vol. 6, issue 6

Abstract: The global shift towards digitalization has significantly transformed economic structures, with smart technologies playing a crucial role in reshaping both urban and rural economies. In developing economies, digitalization is increasingly recognized as a key driver of economic growth and competitiveness. This study explores the role of digital innovations, the Internet of Things (IoT), artificial intelligence (AI), and data-driven solutions in enhancing economic resilience and environmental sustainability. In urban areas, smart infrastructure, digital governance, and green energy solutions optimize resource utilization and improve service delivery. Meanwhile, in rural economies, precision agriculture, digital financial services, and mobile connectivity bridge the digital divide, improve productivity, and expand market access for small-scale enterprises. The objective of this paper is to analyse how smart technologies can be leveraged to promote inclusive and equitable economic development in Bulawayo. It seeks to identify innovative solutions, share best practices, and provide policy recommendations that facilitate digital transformation across urban and rural areas. The study adopts a mixed-methods approach, combining qualitative and quantitative research techniques. Primary data is collected through surveys and interviews with policymakers, technology experts, small and medium enterprise (SME) owners, and local community representatives in Bulawayo. The target population comprises approximately 5,000 stakeholders, including digital service providers, urban planners, and rural development officers. A stratified random sampling technique is employed to ensure diverse representation, with a sample size of 350 respondents selected from different sectors, including ICT, agriculture, manufacturing, and commerce. Secondary data is sourced from academic literature, government reports, and industry case studies. To empirically assess the impact of smart technologies on economic sustainability, the study employs an Autoregressive Distributed Lag (ARDL) model to examine short- and long-run relationships between smart technology adoption and key economic indicators, including GDP growth, employment rates, and environmental sustainability indices. Additionally, a Difference-in-Differences (Did) approach is used to evaluate the causal impact of digital infrastructure investments on rural and urban economic outcomes. The findings reveal that while smart technologies drive efficiency, reduce carbon footprints, and enhance productivity, challenges such as digital exclusion, infrastructure deficits, and policy gaps hinder widespread adoption while employment variable was significant suggesting that employment gains may enhance output after a time lag once productivity and skills catch up. In the rural economy there remains significant barriers to digital integration while inclusion strategies, such as affordable device programs, internet subsidies, and community-based digital training can be persuade. In conclusion, the study underscores the need for strategic investments in digital ecosystems, public-private partnerships, and inclusive policy frameworks to ensure that technological advancements benefit all sectors of society. By leveraging smart technologies, urban and rural economies can achieve sustainable economic growth while addressing social and environmental challenges.

Keywords: Smart technologies; sustainable development; digital transformation; economic resilience (search for similar items in EconPapers)
JEL-codes: O33 R11 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:cwk:ajocsk:2025-03

DOI: 10.59413/ajocs/v6.i6.3

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