"Revealing the Dual Dynamics: Transient and Persistent Efficiencies of " by Mohammad Zeqi Yasin and Fichrie Fachrowi Adli
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Abstract

We examine the decomposition of technical efficiency components into transient and persistent horizons applied to the 33 provincial economies in Indonesia. Focusing on the post-decentralization era in 2002–2022, we employ Stochastic Frontier Analysis to gauge efficiency dynamics for time-variant and time-invariant evolution. We reveal that the persistent inefficiencies outweigh transient ones, implying the persistent inefficient behavior of Indonesian provinces. We also capture that East Nusa Tenggara and several provinces in Eastern Indonesia show the most lagged-behind in terms of persistent inefficiency severity, suggesting necessity of structural changes through more strategic and specific development models beyond mere heterogeneous input reallocation.

References

[1] Acosta, A, & De los Santos-Montero, LA 2019, ‘What is driving livestock total factor productivity change? A persistent and transient efficiency analysis’, Global Food Security, vol. 21, pp. 1-12. doi: https://doi.org/10.1016/j.gfs.2019.06.001.

[2] Addo, F, & Salhofer, K 2022, ‘Transient and persistent technical efficiency and its determinants: the case of crop farms in Austria’, Applied Economics, vol. 54, no. 25, pp. 2916-2932. doi: https://doi.org/10.1080/00036846.2021.2000580.

[3] Aginta, H, Gunawan, AB, & Mendez, C 2023, ‘Regional income disparities and convergence clubs in Indonesia: New district-level evidence’, Journal of the Asia Pacific Economy, vol. 28, no. 1, pp. 101-132. doi: https://doi.org/10.1080/13547860.2020.1868107.

[4] Aigner, D, Lovell, CK, & Schmidt, P 1977, ‘Formulation and estimation of stochastic frontier production function models’, Journal of Econometrics, vol. 6, no. 1, pp. 21-37. doi: https://doi.org/10.1016/0304-4076(77)90052-5.

[5] Aji, SB, & Khudi, AF 2021, ‘Indonesia’s national strategic project displacement, and the new poverty’, Journal of Southeast Asian Human Rights, vol. 5, no. 2, pp. 136-153. doi: https://doi.org/10.19184/jseahr.v5i2.23399.

[6] Alisjahbana, A, & Akita, T, 2020, ‘Economic tertiarization and regional income inequality in a decentralized Indonesia: A bi-dimensional inequality decomposition analysis’, Social Indicators Research, vol. 151, no. 1, pp. 51-80. doi: https://doi.org/10.1007/s11205-020-02374-z.

[7] Alm, J, Aten, RH, & Bahl, R 2001, ‘Can Indonesia decentralise successfully? Plans, problems and prospects’, Bulletin of Indonesian Economic Studies, vol. 37, no. 1, pp. 83- 102. doi: https://doi.org/10.1080/000749101300046537.

[8] Aritenang, AF, & Chandramidi, AN 2020, ‘The impact of special economic zones and government intervention on firm productivity: The case of Batam, Indonesia’, Bulletin of Indonesian Economic Studies, vol. 56, no. 2, pp. 225-249. doi: https://doi.org/10.1080/00074918.2019.1643005.

[9] Badunenko, O, & Kumbhakar, SC 2016, ‘When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models’, European Journal of Operational Research, vol. 255, no. 1, pp. 272-287. doi: https://doi.org/10.1016/j.ejor.2016.04.049.

[10] Battese, GE, & Coelli, TJ 1988, ‘Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data’, Journal of Econometrics, vol. 38, no. 3, pp. 387-399. doi: https://doi.org/10.1016/0304-4076(88)90053-X.

[11] Colombi, R, Martini, G, & Vittadini, G 2017, ‘Determinants of transient and persistent hospital efficiency: The case of Italy’, Health Economics, vol. 26, pp. 5-22. doi: https://doi.org/10.1002/hec.3557.

[12] Dar, AH, Mathur, SK, & Mishra, S 2021, ‘The efficiency of Indian banks: A DEA, Malmquist and SFA analysis with bad output’, Journal of Quantitative Economics, vol. 19, pp. 653-701. doi: https://doi.org/10.1007/s40953-021-00247-x.

[13] Faria, S, Gouveia, S, Guedes, A, & Rebelo, J 2021, ‘Transient and persistent efficiency and spatial spillovers: Evidence from the Portuguese wine industry’, Economies, vol. 9, no. 3, p. 116. doi: https://doi.org/10.3390/economies9030116.

[14] Farrell, MJ 1957, ‘The measurement of productive efficiency’, Journal of the Royal Statistical Society: Series A: Statistics in Society, vol. 120, no. 3, pp. 253-281. doi: https://doi.org/10.2307/2343100.

[15] Filippini, M, & Greene, W 2016, ‘Persistent and transient productive inefficiency: A maximum simulated likelihood approach’, Journal of Productivity Analysis, vol. 45, pp. 187-196. doi: https://doi.org/10.1007/s11123-015-0446-y.

[16] Greene, W 2005, ‘Fixed and random effects in stochastic frontier models. Journal of Productivity Analysis, vol. 23, pp. 7-32. doi: 10.1007/s11123-004-8545-1.

[17] Haini, H 2020, ‘Examining the productivity of the ASEAN economies in the presence of transient and persistent efficiency’, Cogent Economics & Finance, vol. 8, no. 1, p. 1805138. doi: https://doi.org/10.1080/23322039.2020.1805138.

[18] He, C, Zhou, Y, & Zhu, S 2017, ‘Firm dynamics, institutional context, and regional inequality of productivity in China’, Geographical Review, vol. 107, no. 2, pp. 296-316. doi: https://doi.org/10.1111/j.1931-0846.2016.12194.x.

[19] Heshmati, A, Kumbhakar, SC, & Kim, J 2018, ‘Persistent and transient efficiency of international airlines’, European Journal of Transport and Infrastructure Research, vol. 18, no. 2, pp. 213-238. doi: https://doi.org/10.18757/ejtir.2018.18.2.3231.

[20] Hill, H (ed.) 2014, Regional dynamics in a decentralized Indonesia. ISEAS Publishing.

[21] Islamiya, HAT, Sari, DW, Yasin, MZ, Restikasari, W, Shaari, MS, & Susandika, MD 2022, ‘Technical efficiency and productivity growth of crude palm oil: Variation across years, locations, and firm sizes in Indonesia’, Economies, vol. 10, no. 12, p. 303. doi: https://doi.org/10.3390/economies10120303.

[22] Jondrow, J, Lovell, CK, Materov, IS, & Schmidt, P 1982, ‘On the estimation of technical inefficiency in the stochastic frontier production function model’, Journal of Econometrics, vol. 19, no. 2-3, pp. 233-238. doi: https://doi.org/10.1016/0304-4076(82)90004-5.

[23] Kataoka, M 2020, ‘Total factor productivity change in Indonesia’s provincial economies for 1990–2015: Malmquist productivity index approach’, Letters in Spatial and Resource Sciences, vol. 13, no. 3, pp. 233-243. doi: https://doi.org/10.1007/s12076-020-00256-z.

[24] Krugman, P 1994, The myth of Asia’s miracle’, Foreign Affairs, vol. 73, no. 6, pp.62-78. doi: https://doi.org/10.2307/20046929.

[25] Kumbhakar, SC, & Heshmati, A 1995, ‘Efficiency measurement in Swedish dairy farms: An application of rotating panel data, 1976–88’, American Journal of Agricultural Economics, vol. 77, no. 3, pp. 660-674. doi: https://doi.org/10.2307/1243233.

[26] Kumbhakar, SC, & Hjalmarsson, L 1995, ‘Labour-use efficiency in Swedish social insurance offices’, Journal of Applied Econometrics, vol. 10, no. 1, pp. 33-47. doi: https://doi.org/10.1002/jae.3950100104.

[27] Kumbhakar, SC, Lien, G, & Hardaker, JB 2014, ‘Technical efficiency in competing panel data models: A study of Norwegian grain farming’, Journal of Productivity Analysis, vol. 41, pp. 321-337. doi: https://doi.org/10.1007/s11123- 012-0303-1.

[28] Lai, HP, & Kumbhakar, SC 2018, ‘Panel data stochastic frontier model with determinants of persistent and transient inefficiency’, European Journal of Operational Research, vol. 271, no. 2, pp. 746-755. doi: https://doi.org/10.1016/j.ejor.2018.04.043.

[29] Lewis, BD 2017, ‘Local government spending and service delivery in Indonesia: The perverse effects of substantial fiscal resources’, Regional Studies, vol. 51, no. 11, pp. 1695-1707. doi: https://doi.org/10.1080/00343404.2016.1216957.

[30] Margono, H, Sharma, SC, Sylwester, K, & Al- Qalawi, U 2011, ‘Technical efficiency and productivity analysis in Indonesian provincial economies’, Applied Economics, vol. 43, no. 6, pp. 663-672. doi: https://doi.org/10.1080/00036840802599834.

[31] McCann, P 2020, ‘Perceptions of regional inequality and the geography of discontent: Insights from the UK’, Regional Studies, vol. 54, no. 2, pp. 256-267. doi: https://doi.org/10.1080/00343404.2019.1619928.

[32] Meeusen, W, & van Den Broeck, J 1977, ‘Efficiency estimation from Cobb-Douglas production functions with composed error’, International Economic Review, vol. 18, no. 2, pp. 435-444. doi: https://doi.org/10.2307/2525757.

[33] Mendez, C 2020, ‘Regional efficiency convergence and efficiency clusters: Evidence from the provinces of Indonesia 1990–2010’, Asia-Pacific Journal of Regional Science, vol. 4, no. 2, pp. 391-411. doi: https://doi.org/10.1007/s41685-020-00144-w.

[34] Miranti, R, Duncan, A, & Cassells, R 2014, ‘Revisiting the impact of consumption growth and inequality on poverty in Indonesia during decentralisation’, Bulletin of Indonesian Economic Studies, vol. 50, no. 3, pp. 461-482. doi: https://doi.org/10.1080/00074918.2014.980377.

[35] Nasution, A 2016, ‘Government decentralization program in Indonesia’, ADBI Working Paper Series, 601, Asian Development Bank Institute. viewed 30 March 2024, https://www.adb.org/publications/ government-decentralization-program-indonesia.

[36] Ostwald, K, Tajima, Y, & Samphantharak, K 2016, ‘Indonesia’s decentralization experiment: Motivations, successes, and unintended consequences’, Journal of Southeast Asian Economies (JSEAE), vol. 33, no. 2, pp. 139-156. https://www.jstor.org/stable/44132298.

[37] Pishgar-Komleh, SH, Cechura, L, & Kuzmenko, E 2021, ‘Investigating the dynamic eco-efficiency in agriculture sector of the European Union countries’, Environmental Science and Pollution Research, vol. 28, no. 35, pp .48942- 48954. doi: https://doi.org/10.1007/s11356-021-13948-w.

[38] Pitt, MM, & Lee, LF 1981, ‘The measurement and sources of technical inefficiency in the Indonesian weaving industry’, Journal of Development Economics, vol. 9, no. 1, pp. 43-64. doi: https://doi.org/10.1016/0304-3878(81)90004-3.

[39] Purwono, R, Mubin, MK, & Yasin, MZ 2018, ‘Do infrastructures influence the efficiency convergence of the Indonesian economy?’, Seoul Journal of Economics, vol. 31, no. 3, pp. 333-353.

[40] Purwono, R, & Yasin, MZ 2020, ‘Does efficiency convergence of economy promote total factor productivity? A case of Indonesia’, Journal of Economic Development, vol. 45, no. 4, pp. 69-91.

[41] Salim, W, & Hudalah, D 2020, ‘Urban governance challenges and reforms in Indonesia: Towards a new urban agenda’, In: Dahiya, B, & Das, A (eds.), New urban agenda in Asia-Pacific: Governance for sustainable and inclusive cities (pp.163-181), Springer Singapore. doi: https://doi.org/10.1007/978-981-13-6709-0_6.

[42] Sari, DW, Khalifah, NA, & Suyanto, S 2016, ‘The spillover effects of foreign direct investment on the firms’ productivity performances’, Journal of Productivity Analysis, vol. 46, pp. 199-233. doi: https://doi.org/10.1007/s11123-016-0484-0.

[43] Schneider, A 2003, ‘Decentralization: Conceptualization and measurement’, Studies in Comparative International Development, vol. 38, pp.32-56. doi: https://doi.org/10.1007/BF02686198.

[44] Shoesmith, D, Franklin, N, & Hidayat, R 2020, ‘Decentralised governance in Indonesia’s disadvantaged regions: A Critique of the underperforming model of local governance in Eastern Indonesia’, Journal of Current Southeast Asian Affairs, vol. 39, no. 3, pp. 359-380. doi: https://doi.org/10.1177/1868103420963140.

[45] Singh, S, Bala, MM, Kumar, N, & Janor, H 2021, ‘Application of DEA-Based malmquist productivity index on health care system efficiency of ASEAN countries’, The International Journal of Health Planning and Management, vol. 36, no. 4, pp. 1236-1250. doi: https://doi.org/10.1002/hpm.3169.

[46] Sjahrir, BS, Kis-Katos, K, & Schulze, GG 2014, ‘Administrative overspending in Indonesian districts: The role of local politics’, World Development, vol. 59, pp. 166-183. doi: https://doi.org/10.1016/j.worlddev.2014.01.008.

[47] Solow, RM 1957, ‘Technical change and the aggregate production function’, The Review of Economics and Statistics, vol. 39, no. 3, pp. 312-320. doi: https://doi.org/10.2307/1926047.

[48] Talitha, T, Firman, T, & Hudalah, D 2020, ‘Welcoming two decades of decentralization in Indonesia: A regional development perspective’, Territory, Politics, Governance, vol. 8, no. 5, pp .690-708. doi: https://doi.org/10.1080/21622671.2019.1601595.

[49] Tulai, O, Petrushenko, Y, Jozef, G, Iryna, S, & Oksana, P 2019, ‘The impact of decentralization on the financial support of regional development’, Investment Management and Financial Innovations, vol. 16, no. 4, pp. 1-15. doi: http://dx.doi.org/10.21511/imfi.16(4).2019.01.

[50] Vujanovic, P 2017, ‘Decentralisation to promote regional development in Indonesia’, OECD Economics Department Working Papers, 1380, Organisation for Economic Co-operation and Development. doi: https://dx.doi.org/10.1787/d9cabd0a-en.

[51] Wiryawan, BA, & Otchia, C 2022, ‘The legacy of the reformasi: The role of local government spending on industrial development in a decentralized Indonesia’, Journal of Economic Structures, vol. 11, no. 1, p. 3. doi: https://doi.org/10.1186/s40008-022-00262-y.

[52] Yasin, MZ 2021, ‘Technical efficiency and total factor productivity growth of Indonesian manufacturing industry: Does openness matter?’, Studies in Microeconomics, vol. 10, no. 2, pp. 195-224. doi: https://doi.org/10.1177/23210222211024438.

[53] Yasin, MZ, Landiyanto, EA, Arini, HRB, & Maulida, SR 2021, ‘Two decades of fiscal decentralization: Implications on the regional development in Indonesia’, RISED Working Paper, 2, Research Institute of Socio-Economic Development.

[54] Zhou, X, Li, KW, & Li, Q 2011, ‘An analysis on technical efficiency in post-reform China’, China Economic Review, vol. 22, no. 3, pp. 357-372. doi: https://doi.org/10.1016/j.chieco.2011.04.005.

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