THE IMPACT OF DIGITAL TECHNOLOGY UTILIZATION IN THE TRADE SECTOR ON ITS PRODUCTIVITY, LABOR AND ECONOMIC GROWTH

  • Muhammad Rizal Taufikurahman Trilogi University
  • Ahmad Heri Firdaus Institut Bisnis dan Informatika Kwik Kian Gie
DOI: https://doi.org/10.30908/bilp.v14i2.432
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Keywords: Digital Technology, Productivity, Labor, Economic Growth

Abstract

Abstrak

Kehadiran ekonomi digital sebagai bagian dari revolusi industri 4.0 yang telah membuka peluang baru dalam bidang perdagangan dan menjembatani kepentingan produsen, konsumen, dan pasar tanpa dibatasi ruang dan waktu. Tujuan penelitian ini adalah menganalisis dampak pemanfaatan teknologi digital pada sektor perdagangan terhadap produktivitasnya, penyerapan tenaga kerja dan pertumbuhan ekonomi. Metode analisis yang digunakan adalah metode analisis model Computable General Equilibrium (CGE) dinamik. Hasil analisis menunjukkan digitalisasi di sektor perdagangan meningkatkan jumlah outputnya sebagai produktivitas jangka pendek dan panjang. Adapun dampak terhadap penyerapan tenaga kerja di perkotaan dan pedesaan menurunkan jenis pekerjaan tertentu pada periode analisis terutama tenaga kerja terampil rendah. Selanjutnya dampak terhadap GDP riil meningkat pada periode analisis. Kebijakan yang direkomendasikan adalah perlu perbaikan akurasi dan validitas database produk-produk yang kompetitif, strategi antisipatif untuk tenaga kerja yang terdistrupsi, pelayanan perizinan akses semakin mudah, optimalisasi aplikasi teknologi digital dalam tata kelola perdagangan, dan perbaikan sarana prasarana informasi dan teknologi.

Kata Kunci: Teknologi Digital, Produktivitas, Tenaga Kerja, Pertumbuhan Ekonomi

 

Abstract

The presence of a digital economy as part of the industrial revolution 4.0 has opened up new opportunities in trade and bridged the interests of producers, consumers, and markets without being constrained by time and space. The study aims to analyze the impact of digital technology utilization on the trade sector on its productivity, labor, and economic growth. The analysis method used is the Dynamic Computable General Equilibrium (CGE) model. The analysis results show that digitalization in the trade sector increases output as productivity in the short and long term. The impact on labor in urban and rural areas reduces certain types of work in the analysis period, especially low skilled labor. Furthermore, during the analysis period, the impact on real GDP increases. The recommended policy is to improve the accuracy and validity of competitive products' database, anticipatory strategies for labor that have disrupted, easier access licensing services, optimization of digital technology applications in trade governance, and improvement of information and technology infrastructure.

Keywords: Digital Technology, Productivity, Labor, Economic Growth

JEL Classification: F12, F13, F15

References

Adams, P., J. Dixon & M. Horridge (2015), The Victoria Regional Model (VURM): Technical Documentation, 1.0. CoPS/IMPACT Working Paper No. G-254, Centre of Policy Studies, Victoria University, Melbourne

Ahmdeov, I. (2020). The Impact of Digital Economy on International Trade. European Journal of Business and Management Research 5(4):1-7.

Azmeh, S., Foster, C.G., & Echavarri, J. (2019). The International Trade Regime and The Quest for Free Digital Trade. International Studies Review 2(3): 671-692.

Baldwin, R. (2016) The Great Convergence: Information Technology and the New Globalization. The Belknap Press of Harvard University Press, Cambridge.

Banerjee, Shweta S. (2015). From Cash to Digital Transfers in India: The Story So Far. CGAP Brief Consultative Group to Assist the Poor (CGAP), Washington,DC.

BPS. (2010). Sistem Neraca Sosial Ekonomi Indonesia 2008. Jakarta: Badan Pusat Statistik.

BPS. (2015). Tabel Input-Output Indonesia 2010. Jakarta: Badan Pusat Statistik.

Dixon, J., & Nassios, J. (2016). Modelling the Impacts of a Cut to Company Tax in Australia. Centre of Policy Studies Working Paper G-260.

Dixon, J., & Nassios, J. (2018). The Effectiveness of Investment Stimulus in Australia. Centre of Policy Studies Working Paper G-282.

Dixon, P.B. & M.T. Rimmer (2005), “Explaining a dynamic CGE simulation with a trade-focused back-of-the-envelope analysis: the effects of eCommerce on Australia”, 3 Chapter 10, pp. 223–256 in S. Jayasuriya (ed.), Trade Theory, Analytical Models and Development: Essays in Honour of Peter Lloyd, Volume 1, Edward Elgar, U.K.

Dixon, P.B. & M.T. Rimmer (2016), Johansen’s legacy to CGE modelling: originator and guiding light for 50 years. Journal of Policy Modeling, vol. 38(3), May-June 2016, pp. 421-35.

Dixon, P.B., M.T. Rimmer (2002), Dynamic General Equilibrium Modelling for Forecasting and Policy: a Practical Guide and Documentation of MONASH, Contributions to Economic Analysis 256, North-Holland Publishing Company, pp. xiv+338.

Dixon, P.B., M.T. Rimmer & B.W. Roberts (2014). Restricting employment of low-paid immigrants: a general equilibrium assessment of the social welfare implications for legal U.S. wage-earners. Contemporary Economic Policy, vol. 32(3), pp. 639-52.

Dixon, P.B., R.B. Koopman & M.T. Rimmer. (2013). The MONASH style of CGE modeling: a framework for practical policy analysis, Chapter 2, pp. 23-102 in P.B. Dixon and D.W. Jorgenson (editors) Handbook of Computable General Equilibrium Modeling, Elsevier.

Freebairn, J. (2017). Opportunities and Challenges for CGE models in Analysing Taxation. Economic Papers 37 (1), pp. 17 – 29.

Ghandi, S., Thota, B., Kuchembuck, R., & Shwart, J. (2018). Demystifying Data Monetization. MIT Slowan Management Reviews, 1-9 (online November 27, 2018)

Giesecke, J. A., & Madden, J. R. (2013). Regional Computable General Equilibrium Modelling. In P. B. Dixon, & D. W. Jorgenson, Handbook of Computable General Equilibrium Modelling (pp. Vol 1A pp 379-470). Elsevier.

Goldfarb, A., and Tucker, C. (2019). Digital Economics. Journal of Economic Literature 2019, 57(1): 3-43.

Gryseel, M, Kaushik, D, Priyanka, S, & Khoon, TT. (2016). Unlocking Indonesia’s Digital Opprtunity. Indonesia: McKinsey&Company.

Henry, G.S. (2018). Digital or Trade? The Contrasting Approaches of China and US to Digital Trade. Journal of International Economic Law (21): 297-321.

Horridge, M. (2002). ORANIGRD: a Recursive Dynamic version of ORANIG.

Indonesian Internet Service Provider Association (APJII)., (2018). Penetrasi dan Profil Perilaku Pengguna Internet Indonesia. Survey Report, 2018.

Meng, S & M. Siriwardana. (2017). Assesing the Economic Impact of Tourism: A Computable General Equilibrium Modelling Approach. Palgrave Macmillan. Switzerland: Springer International Publishing AG.

Minifie, J., Chisholm, C., & Percival, L. (2017). Stagnation nation? Australian investment in a low growth world. Grattan Institute Report 2017-02.

Oktaviani, R. (2001). Implication of APEC Trade Liberalization and Other Changes for Indonesia Economy, Quarterly Review of the Indonesian Economy. Jurnal Bisnis dan Ekonomi Politik, 4(1): 2-43.

Osorio, BB., Sumitra, D., & Bruno, L. (2014). The Global Information Technology Report 2014: Rewards and Risk of Big Data. Switzerland: World Economic Forum.

Parlindungan, M. (2015). The Internet User Profile 2014. Jakarta: Asosiasi Jasa Penyedia Internet Indonesia.

Ritter, T & Pederson, C.L. (2020). Digitization Capability And The Digitalization Of Business Models In Business-To-Business Firms: Past, Present, And Future. Industrial Marketing Management 86(2020): 180-190.

Romer, D. (2011). Advanced Macroeconomics. Fourth Edition. Singapore: McGraw-Hill College Publishing.

Rose, A., F. Prager, Z. Chen & S. Chatterjee (2017), Economic consequence analysis tool (E-CAT), Springer, Tokyo.

Ross, J. (2017). Don’t Confuse Digital with Digitization. MIT Slowan Management Review (Online September 27, 2017).

Rowe, N. (1987). An Extreme Keynesian Macro-economic Model with Formal Micro-foundations. Canadian Journal of Economics, 20(2): 306–20.

Syam, N., & Sharma, A. (2018). Waiting for a Sales Renaissance in the Fourth Industrial Revolution: Machine Learning and Artificial Intellegence in Sales Research and Practice. Industrial Marketing Management 69(1): 135-146.

Taufikurohman, M.R. (2004). Dampak Peningkatan Produktivitas Pangan terhadap Kinerja Sektoral dan Ekonomi Makro Indonesia: Analisis Ekonomi Keseimbangan Umum. Tesis. Bogor: Sekolah Pascasarjana Institut Pertanian Bogor.

Taufikurohman, M.R. (2012). Dampak Kebijakan Fiskal pada Sektor Pertanian terhadap Ekonomi, Tenaga Kerja, Distribusi Pendapatan dan Kemiskinan. Disertasi. Bogor: Sekolah Pascasarjana Institut Pertanian Bogor.

Walmsley, T., C. Lakatos & P. Minor (2015). Capital and labor substitution in Computable General Equilibrium Models. Working Paper 003, ImpactECON.

Wittwer, G. (1999). WAYANG: A General Equilibrium Model Adapted for the Indonesian Economy. Edition prepared for ACIAR Project no 9449. CIES University of Adelaide (in association with RSPAS, ANU, CASER, Bogor, and CSIS, Jakarta.

Wittwer, G. (2017), Multi-regional dynamic general equilibrium modelling of the U.S. economy: USAGE-TEM development and applications, Springer, Switzerland, pp. xiv+236.

Yadiati, W & Meiryani. (2019). The Role of Information Technology In Ecommerce. International Journal of Scientific & Technology Research 8(01): 173-176.

Zahniser, S. T. Hertz, P.B. Dixon & M.T. Rimmer. (2012). Immigration Policy and its Possible Effects on U.S. Agriculture and the Market for Hired Farm Labor: a simulation analysis. American Journal of Agricultural Economics, Vol. 94(2), January, pp. 477-82.

Published
2020-12-18
How to Cite
Taufikurahman, M. R., & Firdaus, A. H. (2020). THE IMPACT OF DIGITAL TECHNOLOGY UTILIZATION IN THE TRADE SECTOR ON ITS PRODUCTIVITY, LABOR AND ECONOMIC GROWTH. Buletin Ilmiah Litbang Perdagangan, 14(2), 195-214. https://doi.org/10.30908/bilp.v14i2.432
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Articles