The Influence of Improved Petrol Vehicle Features on a Sustainable Automotive Marketplace in Malaysia

This study examines how enhanced features of petrol-powered vehicles can influence the creation of a sustainable automotive market in Malaysia. With the automotive sector moving to a greener form of transportation, petrol-driven cars will not be ignored as they are cheap and have a highly developed, robust refueling infrastructure. This paper is concerned with the measurement of fuel efficiency improvements, emission reduction technologies, and hybrid and environmentally friendly integration systems as independent variables. Quantitative research was adopted through a structured questionnaire that was administered to 300 respondents in central region of Malaysia. Statistical analysis was conducted using SPSS Version 25 to perform descriptive analysis, Pearson correlation, and multiple linear regression on the collected data. The findings indicate that there exist strong, positive correlations between the independent variables and the sustainable automotive marketplace (r = 0.668 to r = 0.752, p < 0.01). According to regression analysis, the overall fit of the model (F = 181.211, p < 0.001) explains 64.7% of the variance (R² = 0.647). The strongest predictor of a sustainable automotive marketplace was hybrid and eco-friendly integration technology (β = 0.419, p < 0.001), followed closely by emission reduction technology (β = 0.274, p < 0.001) and fuel efficiency improvements (β = 0.205, p < 0.001). These results demonstrate that petrol engine innovations serve as a critical bridging solution towards a more sustainable automotive future in Malaysia.

Petrol-engined vehicle, improved features, integrated technology, sustainable marketplace, automotive industry.

1. Agarwal, J., Sahoo, S., Mohanty, S., & Nayak, S. K. (2020). Progress of novel techniques for lightweight automobile applications through innovative eco-friendly composite materials: A review. Journal of Thermoplastic Composite Materials, 33(7), 978–1013. Sage Journals Portal [Google Scholar] [Crossref]

2. Aithal, A., & Aithal, P. S. (2020). Development and validation of survey questionnaire & experimental data—A systematical review-based statistical approach. International Journal of Management, Technology, and Social Sciences (IJMTS), 5(2), 233–251. SSRN Scholarly Network [Google Scholar] [Crossref]

3. Alita, D., Putra, A. D., & Darwis, D. (2021). Analysis of classic assumption test and multiple linear regression coefficient test for employee structural office recommendation. IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 15(3), 295–306. UGM Journal Repository [Google Scholar] [Crossref]

4. Almalki, F. A., Alsamhi, S. H., Sahal, R., Hassan, J., Hawbani, A., Rajput, N. S., ... & Breslin, J. (2023). Green IoT for eco-friendly and sustainable smart cities: Future directions and opportunities. Mobile Networks and Applications, 28(1), 178–202. SpringerLink Portal [Google Scholar] [Crossref]

5. Awad, O. I., Ma, X., Kamil, M., Ali, O. M., Zhang, Z., & Shuai, S. (2020). Particulate emissions from gasoline direct injection engines: A review of how current emission regulations are being met by automobile manufacturers. Science of the Total Environment, 718, Article 137302. ScienceDirect Database [Google Scholar] [Crossref]

6. Cooksey, R. W. (2020). Descriptive statistics for summarising data. Illustrating Statistical Procedures: Finding Meaning in Quantitative Data, 61–139. SpringerLink Portal [Google Scholar] [Crossref]

7. De Abreu, V. H. S., Da Costa, M. G., Da Costa, V. X., De Assis, T. F., Santos, A. S., & D’Agosto, M. D. A. (2022). The role of the circular economy in road transport to mitigate climate change and reduce resource depletion. Sustainability, 14(14), Article 8951. MDPI Open Access [Google Scholar] [Crossref]

8. De Wilde, L., Keserü, I., Macharis, C., & Vanhaverbeke, L. (2023). Finding alternatives for the traditional diesel-powered company car: A conjoint analysis approach. Frontiers in Sustainability, 4, Article 1114437. Frontiers Media Platform [Google Scholar] [Crossref]

9. Di Battista, D., Di Bartolomeo, M., & Cipollone, R. (2022). Full energy recovery from exhaust gases in a turbocharged diesel engine. Energy Conversion and Management, 271, Article 116280. ScienceDirect Database [Google Scholar] [Crossref]

10. Fayyazbakhsh, A., Bell, M. L., Zhu, X., Mei, X., Koutný, M., Hajinajaf, N., & Zhang, Y. (2022). Engine emissions with air pollutants and greenhouse gases and their control technologies. Journal of Cleaner Production, 376, Article 134260. ScienceDirect Database [Google Scholar] [Crossref]

11. Ferrari, A., Gurrì, S., & Vento, O. (2024). Injected fuel mass and flow rate control in internal combustion engines: A systematic literature review. Energies, 17(24), Article 6455. MDPI Open Access [Google Scholar] [Crossref]

12. Gao, J. (2024). R-Squared (\(R^{2}\))—How much variation is explained?. Research Methods in Medicine & Health Sciences, 5(4), 104–109. Sage Journals Portal [Google Scholar] [Crossref]

13. Gaur, P. S., Zimba, O., Agarwal, V., & Gupta, L. (2020). Reporting survey-based studies—A primer for authors. Journal of Korean Medical Science, 35(45), Article e398. JKMS Official Portal [Google Scholar] [Crossref]

14. Hamada, A. T., & Orhan, M. F. (2022). An overview of regenerative braking systems. Journal of Energy Storage, 52, Article 105033. ScienceDirect Database [Google Scholar] [Crossref]

15. Huang, Y., Lee, C. K., Yam, Y. S., Zhou, J. L., Surawski, N. C., Organ, B., ... & Shon, H. K. (2022). Effective emissions reduction of high-mileage fleets through a catalytic converter and oxygen sensor replacement program. Science of the Total Environment, 850, Article 158004. ScienceDirect Database [Google Scholar] [Crossref]

16. James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). Linear regression. In An Introduction to Statistical Learning: with Applications in Python (pp. 69–134). Springer, Cham. SpringerLink Book Portal [Google Scholar] [Crossref]

17. Jiaqiang, E., Ding, J., Chen, J., Liao, G., Zhang, F., & Luo, B. (2021). Process in micro-combustion and energy conversion of micro power system: A review. Energy Conversion and Management, 246, Article 114664. ScienceDirect Database [Google Scholar] [Crossref]

18. Johari, N. A., & Yusoff, R. (2026). Analysing the economic and environmental impact of electric vehicle diffusion on the Malaysian economy. International Journal of Energy Economics and Policy, 16(2), 394–402. EconJournals Portal [Google Scholar] [Crossref]

19. Joshi, A. (2020). Review of vehicle engine efficiency and emissions. SAE International Journal of Advances and Current Practices in Mobility, 2(2020-01-0352), 2479–2507. SAE Mobilus Portal [Google Scholar] [Crossref]

20. Kalwar, A., & Agarwal, A. K. (2021). Lean-burn combustion in direct-injection spark-ignition engines. Alternative Fuels and Advanced Combustion Techniques as Sustainable Solutions for Internal Combustion Engines, 281–317. SpringerLink Portal [Google Scholar] [Crossref]

21. Karunarathna, I., Gunasena, P., Hapuarachchi, T., & Gunathilake, S. (2024). The crucial role of data collection in research: Techniques, challenges, and best practices. Uva Clinical Research, 1, 1–24. ResearchGate Profile Repository [Google Scholar] [Crossref]

22. Koohestanian, E., & Shahraki, F. (2021). Review on principles, recent progress, and future challenges for oxy-fuel combustion \(CO_{2}\) capture using compression and purification unit. Journal of Environmental Chemical Engineering, 9(4), Article 105777. ScienceDirect Database [Google Scholar] [Crossref]

23. Kumar, M. V., Babu, A. V., Reddy, C. R., Pandian, A., Bajaj, M., Zawbaa, H. M., & Kamel, S. (2022). Investigation of the combustion of exhaust gas recirculation in diesel engines with a particulate filter and selective catalytic reactor technologies for environmental gas reduction. Case Studies in Thermal Engineering, 40, Article 102557. ScienceDirect Database [Google Scholar] [Crossref]

24. Lejda, K., Jaworski, A., Mądziel, M., Balawender, K., Ustrzycki, A., & Savostin-Kosiak, D. (2021). Assessment of petrol and natural gas vehicle carbon oxides emissions in the laboratory and on-road tests. Energies, 14(6), Article 1631. MDPI Open Access [Google Scholar] [Crossref]

25. Lelkes, Y., Marx, D., & Park, B. (2012). Complete anonymity compromises the accuracy of self-reports. Journal of Experimental Social Psychology, 48(6), 1291–1299. ScienceDirect Database [Google Scholar] [Crossref]

26. Li, J., Zhou, Q., He, X., Chen, W., & Xu, H. (2023). Data-driven enabling technologies in soft sensors of modern internal combustion engines: Perspectives. Energy, 272Block, Article 127067. ScienceDirect Database [Google Scholar] [Crossref]

27. Lohr, S. L. (2021). Sampling: Design and Analysis (3rd ed.). CRC Press. Routledge Product Page [Google Scholar] [Crossref]

28. Maier, C., Thatcher, J. B., Grover, V., & Dwivedi, Y. K. (2023). Cross-sectional research: A critical perspective, use cases, and recommendations for IS research. International Journal of Information Management, 70, Article 102625. ScienceDirect Database [Google Scholar] [Crossref]

29. Mattioli, G., Roberts, C., Steinberger, J. K., & Brown, A. (2020). The political economy of car dependence: A systems of provision approach. Energy Research & Social Science, 66, Article 101486. ScienceDirect Database [Google Scholar] [Crossref]

30. Mishra, R., Singh, R. K., & Rana, N. P. (2022). Developing environmental collaboration among supply chain partners for sustainable consumption & production: Insights from an auto sector supply chain. Journal of Cleaner Production, 338, Article 130619. ScienceDirect Database [Google Scholar] [Crossref]

31. Mohajan, H. K. (2020). Quantitative research: A successful investigation in natural and social sciences. Journal of Economic Development, Environment and People, 9(4), 50–79. MPRA Repository Platform [Google Scholar] [Crossref]

32. Mohammed, A., Saif, O., Abo-Adma, M., Fahmy, A., & Elazab, R. (2024). Strategies and sustainability in fast charging station deployment for electric vehicles. Scientific Reports, 14(1), Article 283. Nature Portfolio Platform [Google Scholar] [Crossref]

33. Moradi, J., Banagar, I., Mehranfar, S., Andwari, A. M., Könnö, J., & Gharehghani, A. (2024). Advancing combustion technologies and alternative fuels in hybrid electric vehicles: A pathway to high-efficiency, low-emission propulsion systems. Future Technology, 3(1), 42–54. Future Tech Journal Page [Google Scholar] [Crossref]

34. Mruzek, M., Gajdosik, T., & Kučera, L. (2024). Strategies for reducing automobile fuel consumption through advanced powertrain and tribological optimizations. Applied Sciences, 14(2), Article 910. MDPI Open Access [Google Scholar] [Crossref]

35. Namar, M. M., Jahanian, O., Shafaghat, R., & Nikzadfar, K. (2021). Engine downsizing; global approach to reduce emissions: A world-wide review. HighTech and Innovation Journal, 2(4), 384–399. HTIJ Repository Portal [Google Scholar] [Crossref]

36. Neale, B. (2020). Qualitative Longitudinal Research: Research Methods. Bloomsbury Publishing. Bloomsbury Product Page [Google Scholar] [Crossref]

37. Ngu, H. J., Lee, M. D., & Osman, M. S. B. (2020). Review on current challenges and future opportunities in Malaysia sustainable manufacturing: Remanufacturing industries. Journal of Cleaner Production, 273Blocks, Article 123071. ScienceDirect Database [Google Scholar] [Crossref]

38. Nunes, L. J. (2023). The rising threat of atmospheric \(CO_{2}\): A review on the causes, impacts, and mitigation strategies. Environments, 10(4), Article 66. MDPI Open Access [Google Scholar] [Crossref]

39. Owoso, J. O., & Hodonu-Wusu, O. J. (2024). Harnessing globalization, information science and technological innovations in automobile industry into the transportation systems in Nigeria. Industrial Technology Education Research Journal, 7(1), 198–213. ResearchGate Portal [Google Scholar] [Crossref]

40. Pistoia, G. (Ed.). (2010). Electric and Hybrid Vehicles: Power Sources, Models, Sustainability, Infrastructure and the Market. Elsevier. Elsevier Book Webpage [Google Scholar] [Crossref]

41. Rahman, M. M. (2023). Sample size determination for survey research and non-probability sampling techniques: A review and set of recommendations. Journal of Entrepreneurship, Business and Economics, 11(1), 42–62. JEBE Journal Portal [Google Scholar] [Crossref]

42. Reddy, V. J., Hariram, N. P., Maity, R., Ghazali, M. F., & Kumarasamy, S. (2024). Sustainable vehicles for decarbonizing the transport sector: A comparison of biofuel, electric, fuel cell and solar-powered vehicles. World Electric Vehicle Journal, 15(3), Article 93. MDPI Open Access [Google Scholar] [Crossref]

43. Reitz, R. D., Ogawa, H., Payri, R., Fansler, T., Kokjohn, S., Moriyoshi, Y., ... & Zhao, H. (2020). IJER editorial: The future of the internal combustion engine. International Journal of Engine Research, 21(1), 3–10. Sage Journals Platform [Google Scholar] [Crossref]

44. Romano, M. H. K., Zanotto, T. T., de Lima Nogueira, S. C., & Szejka, A. L. (2021, July). Application of engine intelligent start-stop system technology for heavy vehicle fuel saving. In IFIP International Conference on Product Lifecycle Management (pp. 200–214). Cham: Springer International Publishing. SpringerLink Lecture Notes [Google Scholar] [Crossref]

45. Romero, C. A., Correa, P., Ariza Echeverri, E. A., & Vergara, D. (2024). Strategies for reducing automobile fuel consumption. Applied Sciences, 14(2), Article 910. MDPI Open Access [Google Scholar] [Crossref]

46. Şener, R., & Gül, M. Z. (2021). Optimization of the combustion chamber geometry and injection parameters on a light-duty diesel engine for emission minimization using multi-objective genetic algorithm. Fuel, 304, Article 121379. ScienceDirect Database [1, 2, 3, 4] [Google Scholar] [Crossref]

47. Sekaran, U., & Bougie, R. (2010). Research Methods for Business: A Skill-Building Approach (5th ed.). Haddington: John Wiley & Sons. Wiley Product Webpage [Google Scholar] [Crossref]

48. Shahariar, G. H., Bodisco, T. A., Zare, A., Sajjad, M., Jahirul, M. I., Van, T. C., ... & Brown, R. J. (2022). Impact of driving style and traffic condition on emissions and fuel consumption during real-world transient operation. Fuel, 319, Article 123874. ScienceDirect Database [Google Scholar] [Crossref]

49. Sher, F., Chen, S., Raza, A., Rasheed, T., Razmkhah, O., Rashid, T., ... & Erten, B. (2021). Novel strategies to reduce engine emissions and improve energy efficiency in hybrid vehicles. Cleaner Engineering and Technology, 2, Article 100074. ScienceDirect Database [Google Scholar] [Crossref]

50. Singh, V. P., Kumar, A., Meena, C. S., & Dwivedi, G. (Eds.). (2024). Energy Efficient Vehicles: Technologies and Challenges. CRC Press. Routledge Book Portal [Google Scholar] [Crossref]

51. Sürücü, L., & Maslakci, A. (2020). Validity and reliability in quantitative research. Business & Management Studies: An International Journal, 8(3), 2694–2726. BMIJ Online Index [Google Scholar] [Crossref]

52. Tarei, P. K., Chand, P., & Gupta, H. (2021). Barriers to the adoption of electric vehicles: Evidence from India. Journal of Cleaner Production, 291, Article 125847. ScienceDirect Database [Google Scholar] [Crossref]

53. Teresi, J. A., Yu, X., Stewart, A. L., & Hays, R. D. (2022). Guidelines for designing and evaluating feasibility pilot studies. Medical Care, 60(1), 95–103. Lippincott Wolters Kluwer Portal [Google Scholar] [Crossref]

54. Valverde, V., & Giechaskiel, B. (2020). Assessment of gaseous and particulate emissions of a Euro 6d-temp diesel vehicle driven > 1300 km including six diesel particulate filter regenerations. Atmosphere, 11(6), Article 645. MDPI Open Access [Google Scholar] [Crossref]

55. Wadood, F., Akbar, F., & Ullah, I. (2021). The importance and essential steps of pilot testing in management studies: A quantitative survey results. Journal of Contemporary Issues in Business and Government, 27(5), 18–29. JCIBG Archive Site [Google Scholar] [Crossref]

56. Wang, Y., Cao, Z., & Liu, J. (2024). A systematic review on sustainability assessment of internal combustion engines: Identifying frameworks, gaps, and emerging technologies in developing transport sectors. Journal of Cleaner Production, 441, Article 141444. ScienceDirect Database [Google Scholar] [Crossref]

57. Wang, Z., Shuai, S., Li, Z., & Yu, W. (2021). A review of energy loss reduction technologies for internal combustion engines to improve brake thermal efficiency. Energies, 14(20), Article 6656. MDPI Open Access [Google Scholar] [Crossref]

58. Waseem, M., Sher, F., & Raza, A. (2023). Cost efficiency and lifecycle carbon analysis of fuel saving engines in developing countries. Cleaner Logistics and Supply Chain, 6Block, Article 100095. ScienceDirect Database [Google Scholar] [Crossref]

59. Wellbrock, W., Ludin, D., Röhrle, L., & Gerstlberger, W. (2020). Sustainability in the automotive industry, importance of and impact on automobile interior–insights from an empirical survey. International Journal of Corporate Social Responsibility, 5, Article 10. SpringerOpen Platform [Google Scholar] [Crossref]

60. William, F. K. A. (2024). Mastering validity and reliability in academic research: Meaning and significance. International Journal of Research Publications, 144(1), 287–292. IJRP Article Webpage [Google Scholar] [Crossref]

61. Xin, L., Ahmad, M., & Khattak, S. I. (2023). Impact of innovation in hybrid electric vehicles-related technologies on carbon dioxide emissions in the 15 most innovative countries. Technological Forecasting and Social Change, 196, Article 122859. ScienceDirect Database [Google Scholar] [Crossref]

62. Yang, Z., Huang, H., & Lin, F. (2022). Sustainable electric vehicle batteries for a sustainable world: Perspectives on battery cathodes, environment, supply chain, manufacturing, life cycle, and policy. Advanced Energy Materials, 12(26), Article 2200383. Wiley Online Library [Google Scholar] [Crossref]

63. Yu, Z., Guindani, M., Grieco, S. F., Chen, L., Holmes, T. C., & Xu, X. (2022). Beyond t test and ANOVA: Applications of mixed-effects models for more rigorous statistical analysis in neuroscience research. Neuron, 110(1), 21–35. Cell Press / ScienceDirect [Google Scholar] [Crossref]

64. Zhang, W., & Xu, J. (2022). Advanced lightweight materials for Automobiles: A review. Materials & Design, 221, Article 110994. ScienceDirect Database [Google Scholar] [Crossref]

65. Zhang, X., & Dong, F. (2020). Why do consumers make green purchase decisions? Insights from a systematic review. International Journal of Environmental Research and Public Health, 17(18), Article 6607. MDPI Open Access [Google Scholar] [Crossref]

66. Zhu, Y., & Fan, L. (2022). Fuel delivery system for alternative fuel engines: A review. Potential and Challenges of Low Carbon Fuels for Sustainable Transport, 67–95. SpringerLink Book Chapter [Google Scholar] [Crossref]

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