Research article
Modeling energy consumption role on the productivity of coastal community-based fishery business activities in the small islands region

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Abstract

The geographic condition of the archipelago and the inter-regional connectivity within the Kei Islands is still minimal due to the support of infrastructure and natural conditions, causing the sustainability of coastal area-based businesses, particularly capturing fisheries and mariculture fisheries are potentially be disrupted. This research aims to analyze the factors that hamper the productivity of fishing businesses in coastal areas concerning energy consumption and availability to support the business being run. This research used the PLS method, where data were collected from February 2019 to August 2020 in 40 villages with 414 respondents. The results show that consumption has a significant and positive relationship to access and availability on fisheries business productivity. This study also shows that various flow patterns and relationship patterns between variables can affect fisheries business productivity. The implications of this result can be an input for policymakers in this region to better support and maintain the availability of energy to maintain the sustainability of the business productivity of coastal communities in this region.

Keywords

Energy
Consumption
Productivity
Coastal
Fisheries

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Supplementary files

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References

Alam, I. A., Hairani, H., & Singagerda, F. S. (2019). Price Determination Model of World Vegetable and Petroleum. International Journal of Energy Economics and Policy, 9(5), 157-177.

Alejo, L. A. (2018). Suitability analysis for optimum network of agrometeorological stations: A case study of Visayas region, Philippines. Journal of Agrometeorology, 20(4), 269.

Ali, F., Amin, M., & Ryu, K. (2016). The role of physical environment, price perceptions, and consumption emotions in developing customer satisfaction in Chinese resort hotels. Journal of Quality Assurance in Hospitality & Tourism, 17(1), 45-70.

Alm, J., Sennoga, E., & Skidmore, M. (2009). Perfect competition, urbanization, and tax incidence in the retail gasoline market. Economic Inquiry, 47(1), 118-134.

Atchike, D. W., Zhen-Yu, Z., & Bao, G. (2020). The Relationship between Electricity Consumption, Foreign Direct Investment and Economic Growth: Case of Benin. International Journal of Energy Economics and Policy, 10(4), 507-515.

del Rosario, C., & Kitada, M. (2020, July). The Governance of Inclusive Maritime Higher Education in the Philippines. In International Conference on Applied Human Factors and Ergonomics (pp. 565-572). Springer, Cham.

Dubey, R., Gunasekaran, A., Papadopoulos, T., & Childe, S. J. (2015). Green supply chain management enablers: Mixed methods research. Sustainable Production and Consumption, 4, 72-88.

Emodi, N. V., & Boo, K. J. (2015). Sustainable energy development in Nigeria: Overcoming energy poverty. International Journal of Energy Economics and Policy, 5(2), 580-597.

Fornell, C., & Larcker, D. F. (1981). Structural Equation Models With Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research (JMR), 18(3), 382-388.

French, S. A., Jeffery, R. W., Story, M., Breitlow, K. K., Baxter, J. S., Hannan, P., & Snyder, M. P. (2001). Pricing and promotion effects on low-fat vending snack purchases: the CHIPS Study. American journal of public health, 91(1), 112-117.

Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(1), 7, 1-70.

Gil-Garcia, J.R. (2008), ‘‘Using partial least squares in digital government research’’, in Garson, G.D. and Khosrow-Pour, M. (Eds), Handbook of Research on Public Information Technology, Idea Group, Hershey, PA, pp. 239-53.

Glanz, K., & Hoelscher, D. (2004). Increasing fruit and vegetable intake by changing environments, policy and pricing: restaurant-based research, strategies, and recommendations. Preventive Medicine, 39, 88-93.

Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. (2010), Multivariate Data Analysis, Prentice Hall, Upper Saddle River, NJ, 207-219.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433.

Hamid, S. K., Teniwut, W. A., Teniwut, R. M. K., Renhoran, M., & Arifin, D. (2020). Using data mining and spatial analysis for mapping the economic value and resources of indigenous communal sea in Indonesia: Kei Islands. AACL Bioflux, 13(1), 414-427.

Hildawati, I. (2008). Analisis akses pangan serta pengaruhnya terhadap tingkat konsumsi energi dan protein pada keluarga nelayan. Thesis: Bogor Agricultral University.

Mason, S. J., Ribera, P. M., Farris, J. A., & Kirk, R. G. (2003). Integrating the warehousing and transportation functions of the supply chain. Transportation Research Part E: Logistics and Transportation Review, 39(2), 141-159.

Nguyen, D. T., & Ngo, T. (2019). Dynamics of Household-level Energy Access in Vietnam during 2002-2014. International Journal of Energy Economics and Policy, 9(2), 132-145.

Nilsson, I. M., & Smirnov, O. A. (2016). Measuring the effect of transportation infrastructure on retail firm co-location patterns. Journal of Transport Geography, 51, 110-118.

Picaulima, S., Teniwut, W. A., Kahfi, S., Teniwut, R. M., Susanti, I. I. D. A. R., Hungan, M., & Ngabalin, A. M. (2017, October). Mapping marine resources utilization based on seascapes area: a study on gender comparison. In IOP Conference Series: Earth and Environmental Science 89(1), 012027.

Pratama MAD., Hapsari TD., & Trarso I. 2016. Faktor-Faktor yang Mempengaruhi Hasil Produksi Unit Penangkapan Purse Seine (Gardan) di Fishing Base PPP Muncar, Banyuwangi, Jawa Timur. Jurnal Saintek Perikanan. 11(2): 120-128.

Rahantoknam, M. A., Teniwut, W., & Ngabalin, A. M. (2017). Loyalty or Inertia? Customer Perspective on Traditional Micro-retailing of Fisheries Commodities in Small Islands Coastal Area. International Review of Management and Marketing, 7(1), 137-144.

Ramírez, D., Cardona, S., & Escobar, D. A. (2018). New transportation infrastructure impact in terms of global average access-intersection" La Carola" Manizales (Colombia) case study. Contemporary Engineering Sciences, 11, 215-227.

Ramli, A., Akasah, Z. A., & Masirin, M. I. M. (2014). Safety and health factors influencing performance of Malaysian low-cost housing: Structural Equation Modeling (SEM) approach. Procedia-Social and Behavioral Sciences, 129, 475-482.

Ringle, C.M., Wende, S. and Will, A. (2005), ‘‘SmartPLS 2.0 (beta)’’, SmartPLS, Hamburg, available at: www.smartpls.de.

Sari, N. A. R. M, Silitonga, L. M., & Salsiyah, S. M. (2019). The Influence Of Time Motion Study Implementation On The Determination Of Production Net Price (A Case Study Of Wooden Furniture Manufacturer In Production Department of PT. CEGE ONE SEMARANG). JOBS (Jurnal Of Business Studies), 3(2), 135-148.

Sonny, I., Hadiwardoyo, S. P., Susantono, B., & Benabdelhafid, A. (2015). The Development of a Freight Distribution Model for Connecting Inter-island Freight Transport. International Journal of Technology, 6(5), 743-750.

Sun, D., Zeng, S., Lin, H., Meng, X., & Yu, B. (2019). Can transportation infrastructure pave a green way? A city-level examination in China. Journal of Cleaner Production, 226, 669-678.

Susanti, I. I. D. A. R., Teniwut, W. A., Kahfi, S., Teniwut, R. M., Picaulima, S., Hungan, M., ... & Ohoiwutun, E. C. (2017, October). Potential demand of relatively new and emerging marine ecotourism in Kei islands. In IOP Conference Series: Earth and Environmental Science 89(1), 012035.

Ritonga, F. S. (2020). Pembangunan Infrastruktur Terhadap Pertumbuhan Ekonomi Provinsi Riau. TANSIQ: Jurnal Manajemen Dan Bisnis Islam, 3(1), 42-52.

Teniwut, W. A., & Kabalmay, J. (2015). Emprirical study on evaluation of seaweed cultivation in southeast Maluku. In Prosiding Seminar Ilmiah Tahunan (SIT) Ke-2 Politeknik Perikanan Negeri Tual 26, 55-60.

Teniwut, W. A., & Teniwut, R. M. (2018). Minimizing the instability of seaweed cultivation productivity on rural coastal area: a case study from Indonesia. Aquaculture, Aquarium, Conservation & Legislation, 11(1), 259-271.

Teniwut, W., Hamid, S., & Makailipessy, M. (2019). Selecting top fisheries sub-sector in each sub-district for sustainable development of archipelagic region in Indonesia: A hybrid fuzzy-MCDM approach. Decision Science Letters, 8(4), 393-410.

Teniwut, W. A. (2019). Challenges in Reducing Seaweed Supply Chain Risks Arising Within and Outside Remote Islands in Indonesia: An Integrated MCDM Approach. Sustainability Modeling in Engineering: A Multi-Criteria Perspective; Chatterjee, P., Yazdani, M., Chakraborty, S., Eds, 271-291.

Wang, Q., & Sun, X. (2017). Crude oil price: Demand, supply, economic activity, economic policy uncertainty and wars–From the perspective of structural equation modelling (SEM). Energy, 133, 483-490.

Yap, B. W., Ramayah, T., & Shahidan, W. N. W. (2012). Satisfaction and trust on customer loyalty: a PLS approach. Business Strategy Series, 13(4), 154-167.

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Cite this article as:

Somnaikubun, G.B., 2021. Modeling energy consumption role on the productivity of coastal community-based fishery business activities in the small islands region. Agrikan: Jurnal Agribisnis Perikanan 14(1): 1-9. https://doi.org/10.29239/j.agrikan.14.1.1-9
  • Submitted
    20 January 2021
  • Revised
    3 June 2021
  • Accepted
    Not available
  • Published
    26 January 2021
  • Discipline(s)
    Fisheries; Fisheries Science

Subject

Glenty  Benoni Aminadap Somnaikubun

GlentyBenoni AminadapSomnaikubun Fisheries Agribusiness Study Program, Tual State Fisheries Polytechnic. glenty_somnaikubun@ymail.com

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