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Regular Articles

Vol. 27 No. 2 (2025)

Assessing Agricultural Resilience in Malaysia: The Impact of R&D Investments on Sector Stability

DOI
https://doi.org/10.3280/ecag2025oa18700
Submitted
ottobre 19, 2024
Published
2025-09-11

Abstract

The agricultural sector is pivotal in Malaysia’s economic development, primarily providing food, feed, and raw materials for industries while contributing to the country’s GDP and absorbing labour. Despite its significance, the sector’s resilience during economic shocks, such as financial crises, economic setbacks, and pandemics, requires further examination. This study addresses the issue of measuring the resilience of Malaysia’s agricultural sector with an enhanced focus on the impact of research and development (R&D) funding allocation and investments, which is often overlooked in resilience studies.
It aims to quantify the resilience of Malaysia’s agricultural sector and analyse trends over time, thereby contributing to a deeper understanding of the sector’s stability and the role of R&D in fostering resilience. Secondary data from 1996 to 2023 was collected from various sources, including the World Bank, the Department of Statistics Malaysia, the Ministry of Agriculture and Food Industries Malaysia, Bank Negara Malaysia, and the Malaysian Investment Development Authority. Principal component analysis (PCA) was utilised to construct the resilience index, while trend analysis examined the evolution of this index over the study period. Preliminary results indicate that the resilience of Malaysia’s agricultural sector fluctuates over time, with a positive correlation between increased R&D investments and higher resilience levels. Strategic R&D investments are crucial for enhancing agricultural resilience. This research provides a comprehensive framework for assessing the resilience of the agricultural sector, offering policymakers and stakeholders valuable insights. The methodology and findings can also be applied to other countries, making a contribution to the literature on agricultural resilience.

References

  1. Abdullah, N., Ahmad, S., & Ayob, M. (2016). Labour force participation of rural youth in plantation sector of Northern Peninsular Malaysia. Doi: 10.17576/jem-2016-5002-07.
  2. Abson, D. J., Dougill, A. J., & Stringer, L. C. (2012). Using principal component analysis for information-rich socio-ecological vulnerability mapping in Southern Africa. Applied Geography, 35(1-2), 515-524. Doi: 10.1016/j.apgeog.2012. 08.004.
  3. Adger, W. N., Quinn, T., Lorenzoni, I., Murphy, C., & Sweeney, J. (2020). Changing social contracts in climate-change adaptation. Nature Climate Change, 3(4), 330-333. Doi: 10.1038/nclimate1751.
  4. Akbari, M., Sabouri, H., Sajadi, S. J., Yarahmadi, S., & Ahangar, L. (2024). Classification and prediction of drought and salinity stress tolerance in barley using GenPhenML. Scientific Reports, 14(1), 1-16. Doi: 10.1038/s41598-024-68392-w.
  5. Akerlof, G.A., & Yellen, J.L. (1986). Efficiency Wage Models of the Labour Market. Southern Economic Journal, 54, 1068.
  6. Alston, J. M., Andersen, M. A., James, J. S., & Pardey, P. G. (2011). The economic returns to U.S. public agricultural research. American Journal of Agricultural Economics, 92(5), 1257-1277. Doi: 10.1093/ajae/aar044.
  7. Altieri, M. A., & Nicholls, C. I. (2020). Agroecology and the reconstruction of a post-COVID-19 agriculture. The Journal of Peasant Studies, 47(5), 881-898. Doi: 10.1080/03066150.2020.1782891.
  8. Bahta, Y. T., & Myeki, V. A. (2021). Adaptation, coping strategies, and resilience of agricultural drought in South Africa: Implications for the sustainability of the livestock sector. Heliyon, 7(11), e08280. Doi: 10.1016/j.heliyon.2021.e08280.
  9. Binswanger-Mkhize, H. P., McCalla, A. F., & Patel, P. (2009). Agricultural and rural development in developing countries. World Bank.
  10. Boahen, S., Oviroh, P. O., Austin-Breneman, J., Miyingo, E. W., & Papalambros, P. Y. (2023). Understanding resilience of agricultural systems: A systematic literature review. Proceedings of the Design Society, 3, 3701-3710.
  11. BusinessToday (July 26, 2021). Nurturing the next generation of young agropreneurs. -- https://www.businesstoday.com.my/2021/07/26/nurturing-thenext-generation-of-young-agropreneurs/.
  12. BusinessToday (October 2, 2023). Redesigning, repurposing agriculture, food systems to increase youth engagement, inclusivity. -- https://www.businesstoday.com.my/2023/10/02/redesigning-repurposing-agriculture-food-systems-toincrease-youth-engagement-inclusivity/.
  13. Cassey, A., Lee, K., Sage, J., & Tozer, P. (2018). Assessing post-harvest labour shortages, wages, and welfare. Agricultural and Food Economics, 6. Doi: 10.1186/s40100-018-0112-6.
  14. Chavas, J. P. (2024). Economic resilience: Measurement and assessment across time and space. Research in Economics, 78(2), 100953.
  15. Chandio, A., Akram, W., Du, A., Ahmad, F., & Tang, X. (2025). Agricultural transformation: Exploring the impact of digitalization, technological innovation and climate change on food production. Research in International Business and Finance. Doi: 10.1016/j.ribaf.2025.102755.
  16. Coelli, T., Rao, D. S. P., O’Donnell, C. J., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis (2nd ed.). Springer.
  17. Cramb, R., & Curry, G. N. (2012). Oil palm and rural livelihoods in the Asia-Pacific region: An overview. Asia Pacific Viewpoint, 49(3), 223-239. Doi: 10.1111/j.1467-8373.2012.01495.x.
  18. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approach (5th ed.). SAGE Publications.
  19. Cruz, M. D. (2023). Labour productivity, real wages, and employment in OECD economies. Structural Change and Economic Dynamics, 66, 367-382. Doi: 10.1016/j.strueco.2023.05.007.
  20. Department of Fisheries Malaysia (2022). Annual Report 2022. Ministry of Agriculture and Food Industries Malaysia.
  21. Diao, X., Hazell, P., Resnick, D., & Thurlow, J. (2007). The role of agriculture in development: Implications for Sub-Saharan Africa. International Food Policy Research Institute.
  22. Dorairaj, D., & Govender, N. T. (2023). Rice and paddy industry in Malaysia: Governance and policies, research trends, technology adoption and resilience. Frontiers in Sustainable Food Systems, 7, 1093605. Doi: 10.3389/fsufs.2023.1093605.
  23. Filmer, D., & Pritchett, L.H (2001). Estimating Wealth Effects Without Expenditure Data – Or Tears: An Application to Educational Enrolments in States Of India. Demography, 38, 115-132. Doi: 10.1353/dem.2001.0003.
  24. Firdaus, R., Tan, M., Rahmat, S., & Gunaratne, M. (2020). Paddy, rice and food security in Malaysia: A review of climate change impacts. Cogent Social Sciences, 6. Doi: 10.1080/23311886.2020.1818373.
  25. Folke, C., Carpenter, S. R., Walker, B., Scheffer, M., Chapin, T., & Rockström, J. (2016). Resilience thinking: Integrating resilience, adaptability, and transformability. Ecology and Society, 15(4), 20. Doi: 10.5751/ES-03610-150420.
  26. Food and Agriculture Organization of the United Nations (FAO) (2020). The state of food security and nutrition in the world 2020: Transforming food systems for affordable healthy diets. FAO.
  27. Fuglie, K. O. (2018). R&D capital, R&D spillovers, and productivity growth in world agriculture. Applied Economic Perspectives and Policy, 40(3), 421-444. Doi: 10.1093/aepp/ppx045.
  28. Furr, N. R., & Eisenhardt, K. M. (2021). Strategy and uncertainty: Resource-based view, strategy-creation view, and hybrid. Journal of Management, 47(7), 1915-1935. Doi: 10.1177/01492063211011760.
  29. Gomez Ayalde, D., Giraldo Londono, J. C., Quiroga Mosquera, A., Luna-Melendez, J.L., Gimode, W., Tran, T., Zhang, X., Selvaraj, M. G. (2024). AI-powered detection and quantification of Post-harvest Physiological Deterioration (PPD) in cassava using YOLO foundation models and K-means clustering. Plant Methods, 20, 178.
  30. Hamid, S., Arzaman, A., Razali, M., Yasin, N., Masrom, N., Sabri, N., & Margono, M. (2024). The deployment of the Malaysian sustainable palm oil standard in the agriculture sector. Multidisciplinary Science Journal. Doi: 10.31893/multiscience.2024115.
  31. Hamidu, Z., Oppong, P., Asafo-Adjei, E., & Adam, A. (2022). On the Agricultural Commodities Supply Chain Resilience to Disruption: Insights from Financial Analysis. Mathematical Problems in Engineering. Doi: 10.1155/2022/9897765.
  32. Hallegatte, S. (2014). Economic resilience: definition and measurement. World Bank Policy Research Working Paper, (6852). -- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2432352.
  33. He, X., Fang, Y., Wang, B., & Huang, X. (2024). Assessment of the spatial and temporal dynamics of food system resilience and its response to natural hazards. International Journal of Disaster Risk Reduction. Doi: 10.1016/j.ijdrr.2024.104781.
  34. Hoang-Khac, L., Tiet, T., To-The, N., & Nguyen-Anh, T. (2022). Impact of human capital on technical efficiency in sustainable food crop production: a metaanalysis. International Journal of Agricultural Sustainability, 20(4), 521-542. Doi: 10.1080/14735903.2021.1949880.
  35. Howell, P. (December 9, 2022). Skills mismatch a continuing problem in Malaysia, expert says. -- https://chiefofstaff.asia/news-and-insights/skills-mismatch-acontinuing-problem-in-malaysia-expert-says/.
  36. Huffman, W. E., & Orazem, P. F. (2007). Agriculture and human capital in economic growth: Farmers, schooling and nutrition. Handbook of agricultural economics, 3, 2281-2341. Doi: 10.1016/s1574-0072(06)03043-x.
  37. Hassanat, A. B., Alqaralleh, M. K., Tarawneh, A. S., Almohammadi, K., Alamri, M., Alzahrani, A., Altarawneh, G. A., & Alhalaseh, R. (2023). A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance Metric. Mathematics, 12(22), 3623. Doi: 10.3390/math12223623.
  38. Institute of Strategic and International Studies Malaysia (ISISM) (2024). Malaysian palm oil industry performance 2023. ISISM.
  39. Ismail, K. H. (2024). Revolutionising palm oil: How drones are driving sustainable plantations in Malaysia. -- https://bernardbc.com/revolutionising-palm-oil-howdrones-are-driving-sustainable-plantations-in-malaysia/.
  40. Jiang, X., Zhang, W., Zhang, X., & Yang, L. (2018). Application of principal component analysis in agricultural monitoring and assessment. Environmental Monitoring and Assessment, 190(7), 404.
  41. Jolliffe, I. T. (2002). Principal component analysis (2nd ed.). Springer.
  42. Jolliffe, I. T., & Cadima, J. (2016). Principal component analysis: A review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2065), 20150202. Doi: 10.1098/rsta.2015.0202.
  43. Joffre, O., Poortvliet, P., & Klerkx, L. (2019). To cluster or not to cluster farmers? Influences on network interactions, risk perceptions, and adoption of aquaculture practices. Agricultural Systems. Doi: 10.1016/J.AGSY.2019.02.011.
  44. Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36. Doi: 10.1007/BF02291575.
  45. Khanjani, M., Da Silva, L., Fóes, G., Vieira, F., Poli, M., Santos, M., & Emerenciano, M. (2023). Synbiotics and aquamimicry as alternative microbialbased approaches in intensive shrimp farming and biofloc: Novel disruptive techniques or complementary management tools? A scientific-based overview. Aquaculture. Doi: 10.1016/j.aquaculture.2023.739273.
  46. Latruffe, L. (2010). Competitiveness, productivity and efficiency in the agricultural and agri-food sectors. OECD.
  47. Li, H., Liu, Z., Zheng, L., & Lei, Y. (2011). Resilience analysis for agricultural systems of north China plain based on a dynamic system model. Scientia Agricola, 68, 8-17.
  48. Lin, Y., Wan, C., Li, S., Xie, S., Gan, Y., & Lu, Y. (2023). Prediction of women and Children’s hospital outpatient numbers based on the autoregressive integrated moving average model. Heliyon, 9(4), e14845. Doi: 10.1016/j.heliyon.2023. e14845.
  49. Lipper, L., Thornton, P., Campbell, B. M., Baedeker, T., Braimoh, A., Bwalya, M., … Hottle, R. (2020). Climate-smart agriculture for food security. Nature Climate Change, 4(12), 1068-1072. Doi: 10.1038/nclimate2437.
  50. Lucas, R. E. (1980). Methods and problems in business cycle theory. Journal of Money, Credit and banking, 12(4), 696-715. -- https://www.jstor.org/stable/1992030.
  51. Low, C. (2017). A Strategy of Attrition through Enforcement: The Unmaking of Irregular Migration in Malaysia. Journal of Current Southeast Asian Affairs, 36, 101-136. Doi: 10.1177/186810341703600204.
  52. Madhani, P. M. (2009). Resource Based View (RBV): Concepts and Practices. -- https://ssrn.com/abstract=1966810.
  53. Malay Mail (2024, June 22). Agriculture minister urges Fama to boost durian kampung exports to China. -- https://www.malaymail.com/news/malaysia/2024/06/22/agriculture-minister-urges-fama-to-boost-durian-kampungexports-to-china/31349.
  54. Malay Mail (June 11, 2023). Malaysian Cocoa Board to open 200 hectares of land for cultivation this year, says Plantation Industries Ministry. -- https://www.malaymail.com/news/money/2023/06/11/malaysian-cocoa-board-toopen-200-hectares-of-land-for-cultivation-this-year-says-plantation-industriesministry/73768.
  55. Malaysian Investment Development Authority (MIDA) (2020). Ratification of CPTPP can help Malaysia be more competitive. -- https://www.mida.gov.my/mida-news/ratification-of-cptpp-can-help-malaysia-be-more-competitive-saysideas/.
  56. Malaysian Investment Development Authority (MIDA) (September 15, 2023). Malaysia as a global leader in the halal industry. -- https://www.mida.gov.my/mida-news/malaysia-as-a-global-leader-in-the-halal-industry/.
  57. Martin, W., & Mitra, D. (2001). Productivity growth and convergence in agriculture and manufacturing. Economic Development and Cultural Change, 49(2), 403-422. Doi: 10.1086/452509.
  58. Meuwissen, M. P. M., Feindt, P. H., Spiegel, A., Termeer, C. J. A. M., Mathijs, E., De Mey, Y., … & Reidsma, P. (2019). A framework to assess the resilience of farming systems. Agricultural Systems, 176, 102656. Doi: 10.1016/j.agsy.2019.102656.
  59. Ministry of Finance Malaysia (2023). Govt provides RM2.6 billion for subsidies, incentives for paddy farmers, fishermen. -- https://www.mof.gov.my/portal/en/news/press-citations/govt-provides-rm2-6-billion-for-subsidies-incentives-forpaddy-farmers-fishermen.
  60. Micheels, E. T., & Gow, H. R. (2008). Market Driven Entrepreneurship: The Convergence of Market Orientation and the Resource Based View. -- https://ageconsearch.umn.edu/record/44276/?v=pdf.
  61. Moseley, W. G. (2017). Agricultural development and change in Sub-Saharan Africa. Journal of Agrarian Change, 17(3), 593-597.
  62. Nguyen, M., Renaud, F., & Sebesvari, Z. (2019). Drivers of change and adaptation pathways of agricultural systems facing increased salinity intrusion in coastal areas of the Mekong and Red River deltas in Vietnam. Environmental Science & Policy. Doi: 10.1016/J.ENVSCI.2018.10.016.
  63. Nikoloski, D. (2023). The Role of Efficiency Wages in Determining the Inter-Industry Wage Differentials: Evidence from North Macedonia. -- https://eprints.uklo.edu.mk/id/eprint/9242/.
  64. Pardey, P. G., Alston, J. M., & Piggott, R. R. (2006). Agricultural R&D in the developing world: Too little, too late?. International Food Policy Research Institute.
  65. Pingali, P. L. (2019). Agricultural mechanization: Adoption patterns and economic impact. Agricultural Economics, 43(1), 13-26.
  66. Praveenkumar, A., Jha, G.K., Madival, S.D. et al. (2024). Deep Learning Approaches for Potato Price Forecasting: Comparative Analysis of LSTM, Bi-LSTM, and AM-LSTM Models. Potato Res. Doi: 10.1007/s11540-024-09823-z.
  67. Prasad, S. (2017). Shortages in Agriculture Labour Market and Changes in Cropping Pattern, 181-204. Doi: 10.1007/978-981-10-6014-4_11.
  68. Qun, W., Ranran, C., Jingsuo, L., & Khan, N. (2024). Toward a sustainable agricultural system in China: exploring the nexus between agricultural science and technology innovation, agricultural resilience and fiscal policies supporting agriculture. Frontiers in Sustainable Food Systems, 8, 1390014.
  69. Reardon, T., Echeverria, R., Berdegue, J. A., Minten, B., Liverpool-Tasie, L. S. O., Tschirley, D., & Zilberman, D. (2019). Rapid transformation of food systems in developing regions: Highlighting the role of agricultural research & innovations. Agricultural Systems, 172, 47-59. Doi: 10.1016/j.agsy.2018.01.022.
  70. Rumanti, I., Hairmansis, A., Nugraha, Y., N., Susanto, U., Wardana, P., Subandiono, R., Zaini, Z., Sembiring, H., Khan, N., Singh, R., Johnson, D., Stuart, A., & Kato, Y. (2018). Development of tolerant rice varieties for stress-prone ecosystems in the coastal deltas of Indonesia. Field Crops Research. Doi: 10.1016/J.FCR.2018.04.006.
  71. Siregar, A. P., Siregar, H., & Supriana, T. (2024). The trend of agricultural sector resilience in Indonesia during 2008-2020. The Journal of Agricultural Sciences - Sri Lanka, 19(2), 336-357. Doi: 10.4038/jas.v19i2.10154.
  72. South China Morning Post (2023). China looks to Malaysia to satisfy national durian craving as import talks accelerate. -- https://www.scmp.com/economy/china-economy/article/3237575/china-looks-malaysia-satisfy-national-duriancraving-import-talks-accelerate.
  73. Stigler, G. J. (1958). The Economies of Scale. Journal of Law and Economics, 1, 54-71. Doi: 10.1086/466541.ù
  74. Tendall, D. M., Joerin, J., Kopainsky, B., Edwards, P., Shreck, A., Le, Q. B., … Six, J. (2015). Food system resilience: Defining the concept. Global Food Security, 6, 17-23. Doi: 10.1016/j.gfs.2015.08.001.
  75. Thornton, P. K., Schuetz, T., Förch, W., Cramer, L., Abreu, D., Vermeulen, S., & Campbell, B. M. (2021). Is agricultural research focusing on the right goals?. Global Food Security, 10, 1-8.
  76. Timmer, C. P. (2002). Agriculture and economic development. Handbook of agricultural economics, 2, 1487-1546. Doi: 10.1016/S1574-0072(01)10010-1.
  77. Tittonell, P. (2020). Assessing resilience and adaptability in agroecosystems: Critical insights from a French case study. Agricultural Systems, 176, 102652. Doi: 10.1016/j.agsy.2020.102862.
  78. Vermeulen, S. J., Campbell, B. M., & Ingram, J. S. I. (2018). Climate change and food systems. Annual Review of Environment and Resources, 37(1), 195-222. Doi: 10.1146/annurev-environ-020411-130608.
  79. Wernerfelt, B. (1984). A resource‐based view of the firm. Strategic Management Journal, 5(2), 171-180. Doi: 10.1002/smj.4250050207.
  80. World Bank (2020). World development report 2020: Trading for development in the age of global value chains. World Bank.
  81. Yang, Y., Cai, Y., Jiang, Z., & Fang, X. (2019). Assessing the resilience of agricultural production systems in China. Agricultural Systems, 173, 324-334.
  82. Yang, Q., Zhang, P., Z., Liu, D., & Guo, Y. (2022). Agricultural Economic Resilience in the Context of International Food Price Fluctuation – An Empirical Analysis on the Main Grain – Producing Areas in Northeast China. Sustainability. Doi: 10.3390/su142114102.
  83. Zahari, Z., Rosly, N., Zaik, N., Rusli, M., Ahmad, G., Al-Sharqi, F., Al-Quran, A., & Awad, A. (2024). A DEMATEL Analysis of The Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector. Journal of Intelligent Systems and Internet of Things. Doi: 10.54216/jisiot.130102.
  84. Zampieri, M., Weissteiner, C. J., Grizzetti, B., Toreti, A., van den Berg, M., & Dentener, F. (2020). Estimating resilience of crop production systems: From theory to practice. Science of the Total Environment, 735, 139378.

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