The Nexus between Industrial Parks and the Sustainability of Small and Medium-Scaled Ventures
Abstract
:1. Introduction and Hypotheses Development
Study Hypotheses
2. Review of Related Literature
2.1. System Theory (ST) by Bertalanffy (1968)
2.2. Industrial Park (IP)
2.3. Benefits of Industrial Park Prospect
- Economic benefits: Although they can be harder to measure, IPs’ indirect advantages are essential for a company’s long-term viability. These include the creation of indirect jobs through skills development and training, technology transfer, enhanced reputation, and high sales turnover resulting from the use of best practices, encouraging adoption of more effective techniques by a larger population.
- Environmental advantages: With more efficient resource utilization, waste reduction, reprocessing, and recycling, industrial parks promote reduced pollution levels, which can assist to sustain and conserve local biodiversity. It also strengthens IP’s capacity to control chemicals and other hazardous substances in a way that better protects the environment [11].
- The social benefits: Industrial park activities can have a positive social impact by fostering the growth of high-quality local jobs and a positive workplace culture. Industrial parks also enhance local community welfare through expanded community outreach, while some IPs strive to boost gender equality rates by introducing amenities and jobs tailored specifically for women. Greater security for employees is a result of improved security systems that reduce crime. Businesses located inside the park frequently provide support to local communities through corporate social responsibility (CSR) programs that include vocational training centers, training for skill development, and broader community services [32,33].
2.4. Challenges of Establishment of Industrial Parks
- Households whose lands are acquired receive compensation, but if the compensation is not managed properly, their means of wealth creation will be halted, and after a certain amount of time, when the compensation is exhausted; they will be left stranded because they will have no means of production (land to cultivate on since people living in rural areas are typically farmers), causing their income to decline and resulting in economic hardships.
- Businesses operating in industrial parks will give local workers new employment prospects, but they will need to have a particular set of professional skills to be eligible, which they might not have since they lack access to formal education. As a result, some local workers do not meet the criteria to gain employment, causing them to be unemployed and unable to meet their physiological demands [34].
2.5. Sustainability
2.6. Competition and Innovativeness
2.6.1. Competition
2.6.2. Innovativeness
2.7. Government Tax Incentive and Cost Efficiency
2.7.1. Government Tax Incentive
2.7.2. Cost Efficiency
2.8. Empirical Insight and Critique of Reviewed Literature
3. Materials and Method
4. Results and Discussion
4.1. Discussion of the Results for Hypothesis One
4.2. Discussion of the Results to Hypothesis Two
5. Conclusions
Policy Implications
- Companies operating in industrial parks must maintain their innovativeness by delivering and offering goods that cater for industrial, economic, and home demands, as this increases the required, sustained competitiveness for the parks to survive;
- SMVs have been plagued by insufficient support systems. Governments must establish laws and offer tools to support and encourage SMVs, since this allows them to plan and carry out their duties more efficiently while reducing the excess that the government takes care of currently.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Distributive Trade | Manufacturing | Agriculture & Allied Products | Commerce & Tourism | Total | M | STD | (%) | |
---|---|---|---|---|---|---|---|---|
SA | 47 | 5 | 3 | 4 | 59 | 4.9 | 11.1 | 27.06 |
A | 42 | 3 | 3 | 48 | 4.0 | 9.0 | 21.55 | |
U | 15 | 2 | 1 | 3 | 21 | 1.7 | 3.3 | 9.63 |
D | 28 | 4 | 5 | 4 | 41 | 3.4 | 5.2 | 18.80 |
SD | 38 | 3 | 3 | 5 | 49 | 4.0 | 7.0 | 22.47 |
TOTAL | 170 | 17 | 13 | 18 | 2I8 | 18.1 | 33.9 | 100 |
Distributive Trade | Manufacturing | Agriculture & Allied Products | Commerce & Tourism | Total | M | STD | (%) | |
---|---|---|---|---|---|---|---|---|
SA | 43 | 5 | 4 | 4 | 56 | 4.6 | 9.7 | 25.68 |
A | 28 | 1 | 2 | 4 | 35 | 2.9 | 5.8 | 16.05 |
U | 17 | 4 | 1 | 4 | 26 | 2.1 | 4.4 | 11.92 |
D | 33 | 2 | 4 | 3 | 42 | 3.5 | 5.5 | 19.26 |
SD | 49 | 5 | 2 | 3 | 59 | 4.9 | 9.4 | 27.06 |
TOTAL | 170 | 17 | 13 | 18 | 2I8 | 18.1 | 33.9 | 100 |
Distributive Trade | Manufacturing | Agriculture & Allied Products | Commerce & Tourism | Total | M | STD | (%) | |
---|---|---|---|---|---|---|---|---|
SA | 46 | 6 | 4 | 5 | 61 | 5.0 | 11.6 | 27.98 |
A | 37 | 1 | 2 | 4 | 44 | 3.6 | 7.9 | 20.18 |
U | 18 | 4 | 1 | 3 | 26 | 2.1 | 3.4 | 11.92 |
D | 30 | 4 | 4 | 2 | 40 | 3.0 | 5.6 | 18.34 |
SD | 39 | 2 | 2 | 4 | 47 | 3.9 | 6.9 | 21.55 |
TOTAL | 170 | 17 | 13 | 18 | 2I8 | 18.1 | 33.9 | 100 |
Distributive Trade | Manufacturing | Agriculture & Allied Products | Commerce & Tourism | Total | M | STD | (%) | |
---|---|---|---|---|---|---|---|---|
SA | 46 | 6 | 4 | 4 | 60 | 5.0 | 11.6 | 27.52 |
A | 30 | 1 | 2 | 3 | 36 | 3.0 | 5.7 | 16.51 |
U | 20 | 4 | 1 | 2 | 27 | 2.2 | 4.5 | 12.38 |
D | 33 | 4 | 4 | 6 | 47 | 3.9 | 6.1 | 21.55 |
SD | 41 | 2 | 2 | 3 | 48 | 4.0 | 7.3 | 22.01 |
TOTAL | 170 | 17 | 13 | 18 | 2I8 | 18.1 | 33.9 | 100 |
Distributive Trade | Manufacturing | Agriculture & Allied Products | Commerce & Tourism | Total | M | STD | (%) | |
---|---|---|---|---|---|---|---|---|
SA | 35 | 4 | 4 | 2 | 45 | 3.7 | 8.3 | 20.64 |
A | 35 | 1 | 5 | 3 | 44 | 1.8 | 3.0 | 20.18 |
U | 23 | 5 | 1 | 2 | 31 | 2.5 | 5.8 | 14.22 |
D | 40 | 4 | 5 | 49 | 4.0 | 7.8 | 22.47 | |
SD | 37 | 3 | 3 | 6 | 49 | 4.0 | 6.4 | 22.47 |
TOTAL | 170 | 17 | 13 | 18 | 2I8 | 18.1 | 33.9 | 100 |
Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Durbin-Watson |
---|---|---|---|---|---|
1 | 0.575 a | 0.063 | 0.551 | 0.88545 | 0.137 |
Model | Sum of Squares | Df | Mean Square | F | Sig. | |
---|---|---|---|---|---|---|
1 | Regression | 21.651 | 1 | 21.651 | 46.161 | 0.000 b |
Residual | 257.972 | 550 | 0.469 | |||
Total | 279.623 | 551 |
Model | Unstandardized Coefficients | Standardized Coefficients | T | Sig. | ||
---|---|---|---|---|---|---|
B | Std. Error | Beta | ||||
1 | (Constant) | 0.383 | 0.185 | 2.072 | 0.039 | |
Competition | 0.283 | 0.042 | 0.278 | 6.794 | 0.000 |
Distributive Trade | Manufacturing | Agriculture & Allied Products | Commerce & Tourism | Total | M | STD | (%) | |
---|---|---|---|---|---|---|---|---|
SA | 61 | 4 | 6 | 4 | 75 | 6.2 | 12.6 | 34.40 |
A | 20 | 3 | 2 | 6 | 31 | 2.5 | 3.5 | 14.22 |
U | 12 | 4 | 1 | 2 | 19 | 1.5 | 3.0 | 8.71 |
D | 37 | 3 | 2 | 3 | 45 | 3.7 | 7.4 | 20.64 |
SD | 40 | 3 | 2 | 3 | 48 | 4.0 | 7.4 | 22.01 |
TOTAL | 170 | 17 | 13 | 18 | 2I8 | 18.1 | 33.9 | 100 |
Distributive Trade | Manufacturing | Agriculture & Allied Products | Commerce & Tourism | Total | M | STD | (%) | |
---|---|---|---|---|---|---|---|---|
SA | 45 | 6 | 4 | 6 | 61 | 5.0 | 9.6 | 27.98 |
A | 25 | 1 | 2 | 5 | 33 | 2.7 | 4.8 | 15.13 |
U | 23 | 4 | 1 | 2 | 30 | 2.5 | 4.7 | 13.76 |
D | 37 | 4 | 4 | 2 | 47 | 3.9 | 7.5 | 21.55 |
SD | 40 | 2 | 2 | 3 | 47 | 3.9 | 7.8 | 21.55 |
TOTAL | 170 | 17 | 13 | 18 | 2I8 | 18.1 | 33.9 | 100 |
Distributive Trade | Manufacturing | Agriculture & Allied Products | Commerce & Tourism | Total | M | STD | (%) | |
---|---|---|---|---|---|---|---|---|
SA | 37 | 3 | 2 | 4 | 46 | 3.8 | 8.6 | 21.10 |
A | 45 | 1 | 2 | 3 | 51 | 4.2 | 9.6 | 23.39 |
U | 14 | 1 | 3 | 3 | 21 | 1.7 | 2.7 | 9.63 |
D | 39 | 4 | 4 | 3 | 50 | 4.1 | 7.9 | 22.93 |
SD | 35 | 8 | 2 | 5 | 50 | 4.1 | 5.9 | 22.98 |
TOTAL | 170 | 17 | 13 | 18 | 2I8 | 18.1 | 33.9 | 100 |
Distributive Trade | Manufacturing | Agriculture & Allied Products | Commerce & Tourism | Total | M | STD | (%) | |
---|---|---|---|---|---|---|---|---|
SA | 42 | 4 | 4 | 4 | 54 | 4.5 | 9.7 | 24.00 |
A | 23 | 1 | 2 | 3 | 29 | 2.4 | 4.1 | 13.30 |
U | 20 | 4 | 1 | 2 | 27 | 2.2 | 4.5 | 12.38 |
D | 43 | 4 | 4 | 4 | 55 | 4.5 | 8.7 | 25.22 |
SD | 42 | 4 | 2 | 5 | 53 | 4.4 | 7.6 | 24.31 |
TOTAL | 170 | 17 | 13 | 18 | 2I8 | 18.1 | 33.9 | 100 |
Distributive Trade | Manufacturing | Agriculture & Allied Products | Commerce & Tourism | Total | M | STD | (%) | |
---|---|---|---|---|---|---|---|---|
SA | 47 | 6 | 2 | 3 | 58 | 6.3 | 12.3 | 26.60 |
A | 38 | 1 | 2 | 3 | 44 | 4.1 | 7.2 | 20.18 |
U | 14 | 4 | 2 | 4 | 24 | 2.7 | 4.4 | 11.00 |
D | 36 | 1 | 1 | 6 | 42 | 3.0 | 5.7 | 19.26 |
SD | 37 | 5 | 6 | 2 | 50 | 3.0 | 5.7 | 22.93 |
TOTAL | 170 | 17 | 13 | 18 | 2I8 | 18.1 | 33.9 | 100 |
Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Durbin-Watson |
---|---|---|---|---|---|
1 | 0.267 a | 0.071 | 0.069 | 0.64762 | 0.120 |
Model | Sum of Squares | Df | Mean Square | F | Sig. | |
---|---|---|---|---|---|---|
1 | Regression | 17.566 | 1 | 17.566 | 41.881 | 0.000 b |
Residual | 229.418 | 547 | 0.419 | |||
Total | 246.984 | 548 |
Model | Unstandardized Coefficients | Standardized Coefficients | T | Sig. | ||
---|---|---|---|---|---|---|
B | Std. Error | Beta | ||||
1 | (Constant) | 0.729 | 0.147 | 4.965 | 0.000 | |
Government Tax Incentive | 0.213 | 0.033 | 0.267 | 6.472 | 0.000 |
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Ngwu, R.O.; Onodugo, V.A.; Monyei, F.E.; Ukpere, W.I.; Onyekwelu, P.N.; Mmamel, U.G. The Nexus between Industrial Parks and the Sustainability of Small and Medium-Scaled Ventures. Sustainability 2023, 15, 9529. https://doi.org/10.3390/su15129529
Ngwu RO, Onodugo VA, Monyei FE, Ukpere WI, Onyekwelu PN, Mmamel UG. The Nexus between Industrial Parks and the Sustainability of Small and Medium-Scaled Ventures. Sustainability. 2023; 15(12):9529. https://doi.org/10.3390/su15129529
Chicago/Turabian StyleNgwu, Robert O., Vincent A. Onodugo, Francis E. Monyei, Wilfred I. Ukpere, Phina N. Onyekwelu, and Uche Gerald Mmamel. 2023. "The Nexus between Industrial Parks and the Sustainability of Small and Medium-Scaled Ventures" Sustainability 15, no. 12: 9529. https://doi.org/10.3390/su15129529
APA StyleNgwu, R. O., Onodugo, V. A., Monyei, F. E., Ukpere, W. I., Onyekwelu, P. N., & Mmamel, U. G. (2023). The Nexus between Industrial Parks and the Sustainability of Small and Medium-Scaled Ventures. Sustainability, 15(12), 9529. https://doi.org/10.3390/su15129529