new  economy  and  trad

new economy and trad

The Persistence of Policy Shocks to Marine Ecosystem Quality in Major Asian Fish-Producing Countries

Document Type : Research Paper

Author
PhD student in Public Sector Economics, Faculty of Economic and General Sciences, Lorestan University, Khorramabad, Iran
10.30465/jnet.2026.53259.2249
Abstract
The main objective of this study is to analyze the degree of continuity and stability of shocks to the fishing grounds ecological footprint (FEF) and fishing ground load capacity factor (FLCF) in major Asian fish-producing countries during the years 1961-2024. Asian countries produce more than two-thirds of the world's total fisheries; however, most of them are not in a good position in terms of sustainable fishing indicators. For this purpose, robust second-generation panel unit root tests, including CIPS, PANIC, transformed LM, and Fourier KPSS with sharp and smooth structural breaks, have been used. Empirical results at the whole panel level show that FEF does not exhibit mean-reversion behavior, while the fishing ground load capacity factor (FLCF) exhibits stationary characteristics. Therefore, implementing common policies in the studied countries aimed at reducing the FEF will have a permanent effect. At the country level, the results of the unit root test of the KPSS Fourier panel and CIPS can help policymakers in each country in designing effective policies to increase MEQ. Accordingly, FEF has a unit root in 9 of the 11 countries studied, and government intervention in these countries will be effective in establishing policies that lead to a reduction in FEF.
Keywords

دانشمند، آرین و رستمی‌راد، مژگان. (1400). ماندگاری شوک‌ها بر تخریب محیط‌زیست در کشورهای صادرکنندة نفت: دلالت‌هایی برای سیاستگذاری زیست‌محیطی. پژوهشنامه اقتصاد انرژی ایران، 10(39)، 127-158. doi: 10.22054/jiee.2022.66047.1889
گل‌خندان ابوالقاسم. (1404). عوامل مؤثر بر صید پایدار در چارچوب منحنی ظرفیت بار بسترهای صید (FGLCC): مطالعه کشورهای آسیایی تولیدکننده شیلات. سیاست های مالی واقتصادی، ۱۳(۵۰)، ۲۰۰- ۲۵۷.
گل‌خندان، ابوالقاسم و جهانگیری، لیلا. (1404). اثر تعاملی ریسک ژئوپلیتیک و رانت نفت بر انتشار کربن در کشورهای صادرکننده نفت. مطالعات اقتصاد بخش عمومی، 4(1)، 59-90. doi: 10.22126/pse.2024.10509.1118
گل‌خندان، ابوالقاسم و محمدیان منصور، صاحبه. (1402). نظامی‌سازی، علت جهانی‌شدن یا معلول آن؟ (مطالعه کشورهای خاورمیانه با رویکرد علیت گرنجری مبتنی‌بر بوت‌استراپ). اقتصاد و توسعه منطقه‌ای، 30(26)، 299-334. doi: 10.22067/erd.2024.84724.1204
Adalı, Z., Toygar, A. & Yıldırım, U. (2023). Assessing the stochastic behavior of fishing grounds footprint of top ten fishing countries. Regional Studies in Marine Science, 63, 103015. https://doi.org/10.1016/j.rsma.2023.103015
Adalı, Z., Toygar, A., Karataş, A.M. & Yıldırım, U. (2024). Sustainable fisheries and the conservation of marine resources: A stochastic analysis of the fishery balance of African countries. Journal for Nature Conservation, 80, 126653. https://doi.org/10.1016/j.jnc.2024.126653
Adali, Z., Yeter, F., Çoban, M.N., Sarı, S. (2025). Exploring the grazing land footprint’s stochastic behavior in the top aairy and meat-producing nations. Environmental Modeling & Assessment, 30, 107-123.
Alper, A.E. & Alper, O.E. (2021). Persistence of policy shocks to the ecological footprint of MINT countries. Ege Academic Review, 21(4), 427-440. Doi: 10.21121/eab.1015635
Aminizadeh, M., Mohammadi, H. & Karbasi, A. (2024). Determinants of fishing grounds footprint: Evidence from dynamic spatial Durbin model. Marine Pollution Bulletin, 22. https://doi.org/10.1016/j.marpolbul.2024.116364
Ayad, H. (2023). Investigating the fishing grounds load capacity curve in G7 nations: Evaluating the influence of human capital and renewable energy use. Marine Pollution Bulletin, 194. https://doi.org/10.1016/j.marpolbul.2023.115413
Ayad, H. & Lefilef, A. (2024). Unveiling new insights into China's marine ecosystem: Exploring the fishing grounds load capacity curve. Journal of Cleaner Production., 450(23), 141507. https://doi.org/10.1016/j.jclepro.2024.141507
Bahmani-Oskooee, M., Chang, T., & Wu, T. (2014). Revisiting purchasing power parity in African countries: panel stationary test with sharp and smooth breaks. Applied Financial Economics, 24(22), 1429-1438. https://doi.org/10.1080/ 09603107.2014.925068
Bai, J. & Ng, S. (2001), A PANIC attack on unit roots and cointegration , Mimeo, Boston College, Department of Economics.
Bai, J. & Ng, S. (2004). A PANIC attack on unit roots and cointegration. Econometrica, 72 (4), 1127-1177. https://doi.org/10.1111/j.1468-0262.2004.00528.x
Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66, 47-78.
Baltagi, B.H., Feng, Q. & Kao, C. (2012). A Lagrange multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, 170(1), 164-177.
Breusch, T. & Pagan, A. (1980). The LM test and its application to model specification in econometrics, Review of Economic Studies, 47(1), 239-253. https://doi.org/10.2307/2297111nalysis
Caglar, A.E., Balsalobre-Lorente, D. & Akin, C.S. (2021). Analyzing the ecological footprint in EU-5 countries under a scenario of carbon neutrality: Evidence from newly developed sharp and smooth structural breaks in unit root testing. Journal of Environmental Management, 295, 113155. https://doi.org/10.1016/j.jenvman.2021.113155
Carrion-i-Silvestre, J. L., Del Barrio-Castro, T. & Lopez-Bazo, E. (2005). Breaking the panels: an application to the GDP per capita. The Econometrics Journal, 159-175.
Chang, C.K., (2012). Mean reversion of real interest rates in G-20: Panel KSS test by spsm with a Fourier function. Journal for Economic Forecasting, Institute for Economic Forecasting, 0(3), 58-68.
Choi, I. (2001). Unit root tests for Panel Data. Journal of International Money and Finance, 20, 249-272.
Clark T.P., Longo S.B., Clark B. & Jorgensin, A.K. (2018). Sociostructural drivers, fisheries footprints, and seafood consumption: A comparative international study, 1961-2012. Journal of Rural Studies, 57, 140-146. https://doi.org/10.1016/j.jrurstud.2017.12.008
Enders, W. & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth 450 breaks, Oxford Bulletin of Economics and Statistics, 74, 574-99.
Food and Agriculture Organization, 2022. The state of world fisheries and aquaculture, 2018. Retrieved from. http://www.fao.org/3/i9540en/i9540en.pdf
Gil-Alana, L.A., Solarin, S.A. (2018). Have US environmental policies been effective in the re duction of US emissions? A new approach using fractional integration. Atmospheric Pollution Research, 9(1), 53-60.
Global Footprint Network (2023). Global foot print network database. Retrieved from http://data.footprintnetwork.org/countryTrends.html
Hurlin, C. & Mignon, V. (2007). Second generation panel unit root tests. Working Papers halshs-00159842, HAL.
Im, K.S., Lee, J. & Tieslau, M. (2010). Panel LM unit root tests with trend shifts. SSRN 1619918. Doi: 10.2139/ssrn.1619918.
Karimi, M.S., Khezri, M., Khan, Y.A. & Razzaghi, S. (2022). Exploring the influence of economic freedom index on fishing grounds footprint in environmental Kuznets curve framework through spatial econometrics technique: evidence from Asia-Pacific countries. Environmental Science and Pollution Research, 29, 6251-6266. DOI: 10.1007/s11356-021-16110-8
Lee, J. & Tieslau, M. (2019). Panel LM unit root tests with level and trend shifts. Economic Modelling, 80, 1-10. https://doi.org/10.1016/j.econmod.2017.11.001
Lin, D., Hanscom, L., Martindill, J., Borucke, M., Cohen, L., Galli, A., Lazarus, E., Zokai, G., Iha, K., Eaton, D. & Wackernagel, M. (2018). Working Guidebook to the National Footprint Accounts. Oakland: Global Footprint Network.
Maddala, G.S. & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test, Oxford Bulletin of Economics and Statistics, special issue, 631-652.
Nham, N.T.H., Hoa, T.T.M. & Ha, L.T. (2024). Influences of digitalization on sustaining marine minerals: A path toward sustainable blue economy. Ocean & Coastal Management, 239. https://doi.org/10.1016/j.ocecoaman.2023.106589
Ozcan, B., Ulucak, R. & Dogan, E. (2019). Analyzing long lasting effects of environmental pol icies: evidence from low, middle and high income economies. Sustainable Cities and Society, 44, 130-143. https://doi.org/10.1016/j.scs.2018.09.025
Pata, U.K., Erdogan, S., Solarin, S.A., Okumus, I. (2024). Evaluating the influence of democracy, financial development, and fishery product consumption on fishing grounds: A case study for Malaysia. Marine Policy, 168. https://doi.org/10.1016/j.marpol.2024.106301
Pata, U.K., Kartal, M.T., Adali, Z. & Karlilar, S. (2023). Proposal of fishing load capacity curve and testing validity: Evidence from top 20 countries with highest fisheries production by panel data approaches. Ocean & Coastal Management, 245. https://doi.org/10.1016/j.ocecoaman.2023.106856
Pata, U. K., & Yilanci, V. (2021). Investigating the persistence of shocks on the ecological balance: evidence from G10 and N11 countries. Sustainable Production and Consumption, 28, 624-636. https://doi.org/10.1016/j.spc.2021.06.027
Pesaran, M.H. (2004). General diagnostic tests for cross section dependence in panels, Cambridge Working Papers in Economics, No. 0435.
Pesaran, M.H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265-312. https://doi.org/ 10.1002/jae.951
Pesaran, M. H., Ullah, A. & Yamagata, T. (2008). A bias-adjusted LM test of error cross-section independence. The Econometrics Journal. 11, 105-127. https://doi.org/10.1111/j.1368423X.2007.00227.x
Phiri, A. & Tembo, D. (2023). Ecological based environmental Kuznets curve for Africa: Evidence from the fishery sector at continental, regional and country-specific levels. Cogent Economics & Finance, 11. https://doi.org/10.1080/23322039.2023.2225917
Shahbaz, M., Akcan, A.T., Soyyigit, S. & Kılıç, C. (2025). Are policy shocks to forest products footprint permanent or temporary? Evidence from 128 countries. Journal of Forest Research, 30(4), 295-315. https://doi.org/10.1080/13416979.2025.2475526
Stock, J.H & Watson, M.W. (1988). Testing for common trends. Journal of the American Statistical Association, 83, 1097-1107.
Solarin, S.A. & Bello, M.O. (2018). Persistence of policy shocks to an environmental degradation index: the case of ecological footprint in 128 developed and de veloping countries. Ecological Indicators, 89, 35-44. http://dx.doi.org/10.1016/j.ecolind. 2018.01.064
Solarin, S.A., Gil-Alana, L.A. & Lafuente, C. (2019). Persistence in carbon footprint emissions: an overview of 92 countries. Carbon Management, 10(4), 405-415. https://doi.org/10.1080/17583004.2019.1620038
Solarin, S.A., Gil-Alana, L.A. & Lafuente, C. (2021a). Persistence and sustainability of fishing grounds footprint: Evidence from 89 countries. Science of the Total Environment, 751, 141594. http://dx.doi.org/10.1016/j.scitotenv.2020.141594
Solarin, S.A., Gil-Alana, L.A., Lafuente, C. (2021b). Persistence and non-stationarity in the built-up land footprint across 89 countries. Ecological Indicators. 123, https://doi.org/10.1016/j.ecolind.2021.107372
Solarin, A.S., Kundu, P., Sahu, P.K. & Law, J.K. (2024). The impact of aggregated and disaggregated fisheries production and licensed fishermen on fishing grounds footprint: A time series analysis. Marine Pollution Bulletin, 23.
Teng, E., Mehmood, U., Alofaysan, H. & Sun, Y. (2024). Bridging shores: Leveraging green finance, financial globalization, and human capital for a cleaner environment in G-20 marine ecosystems using the fishing ground capability curve theory. Marine Policy, 170.
Ulucak, R. & Lin, D. (2017). Persistence of policy shocks to ecological footprint of the USA. Ecological Indicators, 80, 337343. https://doi.org/10.1016/j. ecolind.2017.05.020
Uzar, U. & Eyuboglu, K. (2025). The role of income inequality in shaping fishing ground footprint in Indonesia: Insights from the Fourier Augmented ARDL approach. Marine Policy, 176.
Villanthenkodath, M.A & Pal, S. (2025). Assessing the relative impact of inland and marine fish production on fishing load capacity factor: Insights for sustainable fisheries management. Marine Pollution Bulletin., 215.
World Wide Fund. (2020). In: Grooten, M., Almond, R.E.A. (Eds.), Living Planet Report 2018: Aiming Higher. WWF, Gland, Switzerland.
Yeter, F. & Ölmez, A. (2024). Preservation of Marine Resources and Sustainable Fisheries: Analyzing the Stochastic Dynamics of Fishing Grounds Footprints in the Nordic Countries. Journal of Recycling Economy & Sustainability Policy, 3(2), 129-139. Retrieved from https://respjournal.com/index.php/pub/article/view/53
Yilanci, V., Cutcu, I. & Cayir, B. (2022). Is the environmental Kuznets curve related to the fishing footprint? Evidence from China. Fisheries Research, 254. https://doi.org/10.1016/j.fishres.2022.106392
Yilanci, V., Gorus, M.S., Aydin, M. (2019). Are shocks to ecological footprint in OECD countries permanent or temporary? J. Clean. Prod. 212, 270-301. http://dx.doi.org/10.1016/j.jclepro.2018.11.299
Yilanci, V., Gorus, M.S. & Solarin, S.A. (2021). Convergence in per capita carbon footprint and ecological footprint for G7 countries: Evidence from panel Fourier threshold unit root test. Energy & Environment, 33(3). https://doi.org/10.1177/0958305X211011461
Yilanci, Veli, Ozgur, O. & Saritas, M.M. (2025). Are Shocks to the Grazing Land Footprint Permanent or Transitory? Evidence from a Machine Learning-Based Unit Root Test. Sustainability, 17(14).  https://doi.org/10.3390/su17146312
Yilanci, V. & Pata, U.K. (2020). Are shocks to ecological balance permanent or temporary? Evidence from LM unit root tests. Journal of Cleaner Production, 276 (124294). https://doi.org/10.1016/j.jclepro.2020.124294
Yilanci, V., Pata, U. K., & Cutcu, I. (2022). Testing the persistence of shocks on ecological footprint and sub-accounts: evidence from the big ten emerging markets. International Journal of Environmental Research, 16(1). https://doi.org/10.1007/ s41742-021-00391-5
Yıldırım, D.Ç., Yıldırım, S., Bostancı, S.H., Turan, T. (2022). The nexus between human development and fishing footprint among Mediterranean countries. Marine Pollution Bulletin. 176, 113426. https://doi.org/10.1016/j.marpolbul.2022.113426

  • Receive Date 27 October 2025
  • Revise Date 07 December 2025
  • Accept Date 14 December 2025