Citation:

Apip Supriadi, Gusti Tia Ardiani, Aso Sukarso, Jumri, Dwi Hastuti Lestari Komarlina. "Open Trade Dynamics: Indonesia-China Trade Potential through SITC Aggregate 1 Period 2013-2022" International Research Journal of Economics and Management Studies, Vol. 3, No. 8, pp. 331-338, 2024.

Abstract:

International trade has become an important aspect of the global economy in the 21st century. With the dynamics of open trade between countries, the flow of goods and services between countries has become increasingly important to understand and analyze. In this context, Indonesia and China play a significant role in the dynamics of global trade, becoming the main focus of many studies and research related to international trade. This study aims to describe the trade performance between Indonesia and China in the period 2013-2022 through analysis using the Grubel LIyod Index and Trade Complementary Index methods. The results show a high level of industrial linkages in 10 commodity groups, with 7 groups showing strong integration and the other 3 showing moderate and weak integration.

References:

[1] Charnes, A., Cooper, W. W., & Rhodes, E. L. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
[2] Chen, Y., & Zhu, J. (2004). Measuring information technology’s indirect impact on firm performance. Information Technology and Management, 5(1/2), 9–22. https://doi.org/10.1023/b:item.0000008075.43543.97
[3] Cook, W. D., & Hababou, M. (2001). Sales performance measurement in bank branches. Omega, 29(4), 299–307. https://doi.org/10.1016/s0305- 0483(01)00025-1
[4] Cooper, W. W. (2014). Origin and Development of Data Envelopment Analysis: Challenges and Opportunities. Data Envelopment Analysis Journal, 1(1), 3–10. https://doi.org/10.1561/103.00000002
[5] Cooper, W. W., Seiford, L. M., & Tone, K. (2006). Data Envelopment Analysis. In Springer eBooks. https://doi.org/10.1007/978-0-387-45283-8
[6] Frino, M. G., & Desiderio, K. P. (2013). The role of demographics as predictors of successful performance of sales professionals in Business-to-Business sales Organizations. Performance Improvement Quarterly, 25(4), 7–21. https://doi.org/10.1002/piq.21128
[7] Huang, R., Marquardt, C. A., & Zhang, B. (2015). Using sales revenue as a performance measure. Social Science Research Network. https://doi.org/10.2139/ssrn.2636950
[8] Herjanto, H., & Franklin, D. (2019). Investigating Salesperson Performance Factors: A systematic review of the literature on the characteristics of effective salespersons. Australasian Marketing Journal, 27(2), 104–112. https://doi.org/10.1016/j.ausmj.2018.12.001
[9] Le, T. D., Ho, T. N., Nguyen, D. T., & Ngo, T. (2022). Intellectual capital – bank efficiency nexus: evidence from an emerging market. Cogent Economics & Finance, 10(1). https://doi.org/10.1080/23322039.2022.2127485
[10] Paloniemi, S. (2006). Experience, competence and workplace learning. Journal of Workplace Learning, 18(7/8), 439– 450. https://doi.org/10.1108/13665620610693006
[11] Schaffnit, C., Rosén, D., & Paradi, J. C. (1997). Best practice analysis of bank branches: An application of DEA in a large Canadian bank. European Journal of Operational Research, 98(2), 269–289. https://doi.org/10.1016/s0377-2217(96)00347-5
[12] Sherman, H. D., & Ladino, G. (1995). Managing bank productivity using Data Envelopment Analysis (DEA). Interfaces, 25(2), 60– 73. https://doi.org/10.1287/inte.25.2.60
[13] Shewell, P., & Migiro, S. O. (2016). Data envelopment analysis in performance measurement: a critical analysis of the literature. Problems and Perspectives in Management, 14(3), 705–713. https://doi.org/10.21511/ppm.14(3-3).2016.14
[14] Wang, C. H., Gopal, R. D., & Zionts, S. (1997). Annals of Operations Research, 73, 191–213.doi:10.1023/a:1018977111455
[15] Zallocco, R., Pullins, E. B., & Mallin, M. L. (2009). A re‐examination of B2B sales performance. Journal of Business & Industrial Marketing, 24(8), 598–610. https://doi.org/10.1108/08858620910999466

Keywords:

Bilateral, Grubel LIyod Index, Trade Complementary Index.