International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 9 - Issue 7, July 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Agricultural Competitiveness Based On The Pillars Of Infrastructure, Capital And Technology In South Sulawesi, Indonesia

[Full Text]



Ariady Arsal, Darmawan Salman, Imam Mujahidin Fahmid, Mahyudin



Agricultural Competitiveness, Capital, Infrastructure, Technology



Agricultural competitiveness is mentioned in various definitions, including the ability of agricultural products to dominate the market and as a form of healthy competition and life among agricultural actors. Factors driving agricultural competitiveness come from land ownership, and capital owned by farmers, both fixed capital or human capital. The study was conducted by measuring the competitiveness of agriculture between regions in South Sulawesi through 3 pillars, Infrastructure, capital and technology. The research objective is to compile an agricultural competitiveness index and map regions in South Sulawesi based on the pillars of infrastructure, capital and technology. The study uses a quantitative approach with composite index measurements and is designed using descriptive verification research type. The data comes from secondary data in 5 (five) years (2014-2018). South Sulawesi's agricultural competitiveness of the 3 pillars of infrastructure, capital and technology, has a value of 0.96, with a low level of competitiveness. Most regions in South Sulawesi have a low index of competitiveness of the technology pillars of 22 districts (91.67%), while infrastructure pillars have better conditions, ie only 14 districts (58.33%) with low competitiveness. The capital pillar provides the highest agricultural competitiveness support with an index value of 0.55 at a medium level of competitiveness. This can be seen from the level of competitiveness in the capital pillar which is 8 districts (33.33%) for each level of competitiveness, high, medium and low. Soppeng occupies the highest competitiveness index in the infrastructure pillar with a value of 0.57, the highest Enrekang in the capital pillar with an index value of 0.70 and Sidrap excels in the technology pillar with an index value of 0.53. To increase the agricultural competitiveness of South Sulawesi, it is necessary to increase the equitable distribution of agricultural development, especially in the pillars of technology, especially the distribution of the use of harvest processing machines and tractor engines. In addition, it is also necessary to increase credit to the agricultural sector.



[1] Cimpoies, L. An analysis of Moldova’s agri-food products competitiveness on the EU market, 10, 532–538. 2016. https://doi.org/10.1016/j.aaspro.2016.09.030
[2] Gupta, S., Malhotra, N. K., Czinkota, M., & Foroudi, P. . Marketing innovation: A consequence of competitiveness. Journal of Business Research, 69(12). 2016. https://doi.org/10.1016/j.jbusres.2016.02.042.
[3] Arsal, A., Karim, I., Rusman, R. F. Y., & Akhsan. How important competitive advantage is for maize grain potential market. IOP Conference Series: Earth and Environmetal Science.2019 https://doi.org/10.1088/1755-1315/343/1/012098
[4] Karim, I., Rusman, R. F. Y., & Arsal, A. Factors that influence the increase of Eucheuma cottonii Seaweed farmers ’ income in Bantaeng , South Sulawesi. Journal of Perspectives on Financing and Regional Development, 5(3), 167–172.2018. https://doi.org/10.22437/ppd.v5i3.4649
[5] Kamaluddin, A., Ala, A., & Salman, D. The Adaptation of Rice Paddy Farmers Towards Climate Change. American-Eurasia J.Agric. & Environ.Sci., 12(7), 967–972. 2012. https://doi.org/10.5829/idosi.aejaes.2012.12.07.1835
[6] Narayan, S., & Bhattacharya, P. Relative export competitiveness of agricultural commodities and its determinants : Some evidence from India. World Development, 117, 29–47. 2019. https://doi.org/10.1016/j.worlddev.2018.12.013
[7] Ali, M. S. S., Majika, A., & Salman, D. (2017). Food Consumption and Production in Tempe Lake, South Sulawesi, Indonesia. Journal of Asian Rural Studies, 1(1), 43–52.
[8] Ahmedova, S. Factors for Increasing the Competitiveness of Small and Medium- Sized Enterprises ( SMEs ) In Bulgaria. Procedia - Social and Behavioral Sciences, 195, 1104–1112. 20.20. https://doi.org/10.1016/j.sbspro.2015.06.155
[9] Norton, R. The Competitiveness of Tropical Agriculture: Assessing Agricultural Competitiveness and Its Determinants. 2017. https://doi.org/10.1016/B978-0-12-805312-6.00011-8
[10] Amri, M., Ahmad, N. B., Lavi, D. V., & Giap, T. K. 2017 Annual Update of ACI Competitiveness Ranking and Simulation Studies : 33 Provinces and Six Regions of Indonesia. Asia Competitiveness Institute National University of Singapore, 1–58. 2017.
[11] Palei, T. Assessing The Impact of Infrastructure on Economic Growth and Global Competitiveness. Procedia Economics and Finance, 23(October 2014), 168–175. https://doi.org/10.1016/S2212-5671(15)00322-6.
[12] Gibbons, S., Lyytikäinen, T., Overman, H. G., & Sanchis-guarner, R. New road infrastructure : The effects on firms. Journal of Urban Economics, 110(March 2017), 35–50. https://doi.org/10.1016/j.jue.2019.01.002
[13] Zhang, F., Guo, S., Zhang, C., & Guo, P. An interval multiobjective approach considering irrigation canal system conditions for managing irrigation water. Journal of Cleaner Production, 211, 293–302. 2019. https://doi.org/10.1016/j.jclepro.2018.11.111
[14] Udias, A., Pastori, M., Malago, A., Vigiak, O., Nikolaidis, N. P., & Bouraoui, F. Identifying efficient agricultural irrigation strategies in Crete. Science of the Total Environment, 633, 271–284. 2018. https://doi.org/10.1016/j.scitotenv.2018.03.152
[15] Pindado, E., Sánchez, M., Verstegen, J. A. A. ., & Lans, T. Land Use Policy Searching for the entrepreneurs among new entrants in European Agriculture : the role of human and social capital. Land Use Policy, 77(May), 19–30. 2018. https://doi.org/10.1016/j.landusepol.2018.05.014
[16] Dermoredjo, S. K. Mapping Agricultural Competitiveness in Indonesia, 1274(1), 251–268. Indonesian Ministry of Agriculture. (Not Published)..2017.
[17] Edeme, R. K., Nkalu, N. C., Idenyi, J. C., & Arazu, W. O.Infrastructural Development, Sustainable Agricultural Output and Employment in ECOWAS Countries. Sustainable Futures, 100010. 2020. https://doi.org/10.1016/j.sftr.2020.100010
[18] Paudel, B., Wu, X., Zhang, Y., Rai, R., Liu, L., Zhang, B.,Koirala, H. L. Farmland abandonment and its determinants in the different ecological villages of the Koshi River Basin, Central Himalayas: Synergy of high-resolution remote sensing and social surveys. Environmental Research, 109711. 2020. https://doi.org/10.1016/j.envres.2020.109711
[19] Hong-qing, L. I., Fei, Z., & Yao-yang, Z. Farmer behavior and perceptions to alternative scenarios in a highly intensive agricultural region , south central China. 2017. Journal of Integrative Agriculture, 16(8), 1852–1864. https://doi.org/10.1016/S2095-3119(16)61547-2
[20] Cui, W., Ly Kim Cuong, L.K., Shimizu,K. Cash policy and the bank-firm relationship.Economic Modelling. Available online 23 April 2020. In Press, Corrected Proof . 2020. https://doi.org/10.1016/j.econmod.2020.04.015
[21] Masciandaro, D., & Volpicella, A. (2016). Journal of International Money Macro prudential governance and central banks : Facts and drivers. Journal of International Money and Finance, 61, 101–119. https://doi.org/10.1016/j.jimonfin.2015.11.002
[22] Hu, Y., Li, B., Zhang, Z., & Wang, J. (2019). Farm size and agricultural technology progress : Evidence from China. Journal of Rural Studies, xxx(xxxx)x(2), 1–14. https://doi.org/10.1016/j.jrurstud.2019.01.009