Sustainable environmental governance as the implementation of state defense policy

Authors

  • Lilik Muslikhatin Defense Science, Republic of Indonesia Defense University, Bogor, 16810, Indonesia
  • Asep Adang Supriyadi Sensing Technology, Faculty of Science and Technology, Republic of Indonesia Defense University, Bogor, 16810, Indonesia

DOI:

https://doi.org/10.61511/jpstd.v2i1.2024.984

Keywords:

Inland waters, SDGs, sustainable environmental governance

Abstract

Background: Land waters in urban areas often become a source of problems if they are not managed wisely and firmly. The threat and risk of danger, disease and even death always haunt the people who live on the banks of the river. Poverty and slum areas are negative effects of less than optimal land water management in urban areas. The Indonesian government has taken various steps to address this, but the lack of urban land for settlement is the reason why immigrants from other regions reside and reside in dangerous areas such as riverbanks. The compulsion to live minimally in urban areas is a burden for local governments in their efforts to increase welfare as well as improve sustainable urban governance. Many other cities in developed countries have made efforts to improve inland water areas to alleviate poverty and at the same time beautify the urban landscape. The experts agreed to hold discussions to formulate the best policy steps for sustainable urban governance in Indonesia. Methods: In the process of data analysis and decision making related to sustainable environmental governance as implementation of national defense policy, this article utilizes the Analytical Hierarchy Process (AHP) Data Processing Method. Finding: The results of in-depth discussions and interviews with experts in the field of environment, urban governance, economic experts and poverty management experts from various institutions such as the Ministry of Social Affairs, PUPR Ministry, Spatial Planning and City Planning Services, Academics and also the Military were processed using the Analytical Hierarchy Process (AHP). Conclusion: The best decision alternative will be a recommendation for policy makers regarding sustainable urban governance.  Novelty/Originality of this study: This study is relevant to the Analytical Hierarchy Process (AHP) Method to formulate sustainable urban water management policies in Indonesia, involving various experts and related institutions to overcome poverty and improve urban landscapes. Therefore, this study can show policy recommendations based on various aspects and views.

References

Aslan, Ş., Diken, A., & Şendoğdu, A. A. (2011). Investigation of the Effects of Strategic Leadership on Strategic Change and Innovativeness of SMEs in a Perceived Environmental Uncertainity. Procedia - Social and Behavioral Sciences, 24, 627–642. https://doi.org/10.1016/j.sbspro.2011.09.009

Babuna, P., Yang, X., Tulcan, R. X. S., Dehui, B., Takase, M., Guba, B. Y., Han, C., Awudi, D. A., & Li, M. (2023). Modeling water inequality and water security: The role of water governance. Journal of Environmental Management, 326, 116815. https://doi.org/10.1016/j.jenvman.2022.116815

Baldwin, E., Thiel, A., McGinnis, M., & Kellner, E. (2023). Empirical research on polycentric governance: Critical gaps and a framework for studying long-term change. Policy Studies Journal, November 2022, 1–30. https://doi.org/10.1111/psj.12518

Bell, A., & Mallinson, D. J. (2021). Constraints on policy learning: designing the Regional Greenhouse Gas Initiative in Pennsylvania. Policy Design and Practice, 4(4), 486–500. https://doi.org/10.1080/25741292.2021.1928970

Casadei, E., & Albert, J. (2016). Food and Agriculture Organization of the United Nations. In B. Caballero, P. M. Finglas, & F. Toldrá (Eds.), Encyclopedia of Food and Health (pp. 749–753). Academic Press. https://doi.org/ 10.1016/B978-0-12-384947-2.00270-1

Clement, J., Ruysschaert, B., & Crutzen, N. (2023). Smart city strategies – A driver for the localization of the sustainable development goals? Ecological Economics, 213, 107941. https://doi.org/10.1016/j.ecolecon.2023.107941

de Jong, W. A., de Kleijn, R. A. M., Lockhorst, D., Brouwer, J., Noordegraaf, M., & van Tartwijk, J. W. F. (2023). Collaborative spirit: Understanding distributed leadership practices in and around teacher teams. Teaching and Teacher Education, 123, 103977. https://doi.org/10.1016/j.tate.2022.103977

Duggan, D. E., & Kochen, M. (2016). Small in scale but big in potential: Opportunities and challenges for fisheries certification of Indonesian small-scale tuna fisheries. Marine Policy, 67, 30–39. https://doi.org/10.1016/j.marpol.2016.01.008

Farrukh, M. U., Bashir, M. K., Rola-Rubzen, M. F., & Ahmad, A. (2022). Dynamic effects of urbanization, governance, and worker’s remittance on multidimensional food security: An application of a broad-spectrum approach. Socio-Economic Planning Sciences, 84, 101400. https://doi.org/10.1016/j.seps.2022.101400

Gao, L., Zhou, F., Gong, W., & Pang, X. (2023). The mutual influence of land-sea ecological security and its coordinated governance in the Guangdong-Hong Kong-Macao greater bay area. Ecological Indicators, 156, 111073. https://doi.org/10.1016/j.ecolind.2023.111073

Greenland, S. J., Saleem, M., Misra, R., Nguyen, N., & Mason, J. (2023). Reducing SDG complexity and informing environmental management education via an empirical six-dimensional model of sustainable development. Journal of Environmental Management, 344, 118328. https://doi.org/10.1016/j.jenvman.2023.118328

Jahanger, A., Ogwu, S. O., Onwe, J. C., & Awan, A. (2023). The prominence of technological innovation and renewable energy for the ecological sustainability in top SDGs nations: Insights from the load capacity factor. Gondwana Research. https://doi.org/10.1016/j.gr.2023.05.021

Jamero, M. L., Onuki, M., Esteban, M., Chadwick, C., Tan, N., Valenzuela, V. P., Crichton, R., & Avelino, J. E. (2019). In-situ adaptation against climate change can enable relocation of impoverished small islands. Marine Policy, 108, 103614. https://doi.org/10.1016/j.marpol.2019.103614

Jati, W. R. (2023). he Effect of Migration on the Domestic Job Market: Evidence from Australia. Populasi, 31(1), 31. https://doi.org/10.22146/jp.84377

Karouzakis, N., & Tzioumis, K. (2021). Spillover costs of national security policies. Annals of Tourism Research, 88, 103033. https://doi.org/10.1016/j.annals.2020.103033

Kementerian Pertahanan Republik Indonesia. (2015). Buku Putih Pertahanan Indonesia 2015 Kementerian Pertahanan Republik Indonesia. Kementerian Pertahanan Republik Indonesia.

Keränen, A., Malmi, K., Nätti, S., & Ulkuniemi, P. (2023). Developing identity of conscientious business-to-business organizations through integrative leadership. Industrial Marketing Management, 109, 188–203. https://doi.org/10.1016/j.indmarman.2023.01.007

Khan, N., Ahmed, J., Nawaz, M., & Zaman, K. (2015). The Socio-Economic Determinants of Crime in Pakistan: New Evidence on an Old Debate. Arab Economic and Business Journal, 10(2), 73–81. https://doi.org/10.1016/j.aebj.2015.01.001

Kurttila, M., Pesonen, M., Kangas, J., & Kajanus, M. (2000). Utilizing the analytic hierarchy process (AHP) in SWOT analysis — a hybrid method and its application to a forest-certification case. Forest Policy and Economics, 1(1), 41–52. https://doi.org/10.1016/S1389-9341(99)00004-0

Lanshina, T., Barinova, V., Loginova, A., Lavrovskii, E., & Ponedelnik, I. (2019). Localizing and achieving the sustainable development goals at the national level: Cases of leadership. International Journal of Agricultural Management, 8(1), 207–224. https://doi.org/10.17323/1996-7845-2019-01-12

Liu, M., Feng, X., Zhao, Y., & Qiu, H. (2023). Impact of poverty alleviation through relocation: From the perspectives of income and multidimensional poverty. Journal of Rural Studies, 99, 35–44. https://doi.org/10.1016/j.jrurstud.2023.02.009

Mohammadi, K. (2023). Improved strategy management for WDNs: Integrated prioritization SWOT QSPM (IPSQ) method – Application to passive defense. Socio-Economic Planning Sciences, 88, 101663. https://doi.org/10.1016/j.seps.2023.101663

Mohammed, A. F., & Baiee, W. R. (2020). Analysis of Criminal Spatial Events in GIS for predicting hotspots. IOP Conference Series: Materials Science and Engineering, 928(3). https://doi.org/10.1088/1757-899X/928/3/032071

Mortati, M., Mullagh, L., & Schmidt, S. (2022). Design-led policy and governance in practice: a global perspective. Policy Design and Practice, 5(4), 399–409. https://doi.org/10.1080/25741292.2022.2152592

Nuralina, K., Baizholova, R., Aleksandrova, N., Konstantinov, V., & Biryukov, A. (2023). Socio-economic development of countries based on the Composite country Development Index (CCDI). Regional Sustainability, 4(2), 115–128. https://doi.org/10.1016/j.regsus.2023.03.005

Roldán-Valcarce, A., Jato-Espino, D., Manchado, C., Bach, P. M., & Kuller, M. (2023). Vulnerability to urban flooding assessed based on spatial demographic, socio-economic and infrastructure inequalities. International Journal of Disaster Risk Reduction, 95(July), 103894. https://doi.org/10.1016/j.ijdrr.2023.103894

Saaty, R. W. (1987). The analytic hierarchy process—what it is and how it is used. Mathematical Modelling, 9(3), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8

Sánchez-Rivero, M. V., Bote Alonso, I., Domínguez Serrano, M. V., & Montalbán Pozas, B. (2023). SDG monitoring framework for rural settlements mapping interactions with the Spanish Urban Agenda. Sustainable Cities and Society, 93, 104514. https://doi.org/10.1016/j.scs.2023.104514

Sanphillippo, J. (2022). Chapter 35 - VUCA: volatility, uncertainty, complexity, and ambiguity in our smart city and tech finance future. In J. R.Vacca (Ed.), Smart Cities Policies and Financing (pp. 511–521). Elsevier. https://doi.org/10.1016/B978-0-12-819130-9.00055-3

Schroeder, W. A. (2023). A Future US Defense Program in an Era of Great Power Competition. Orbis, 67(1), 85–102. https://doi.org/10.1016/j.orbis.2022.12.009

Strating, R., & Wallis, J. (2022). Maritime sovereignty and territorialisation: Comparing the Pacific Islands and South China Sea. Marine Policy, 141, 105110. https://doi.org/10.1016/j.marpol.2022.105110

Tian, Z., Wang, Q., Liu, Y., & Wang, Z. (2023). Comparison of the tourist mobility patterns among demographic subgroups with mobile phone data: A case study of Chongqing, China. Applied Geography, 159, 103090. https://doi.org/10.1016/j.apgeog.2023.103090

United Nations Development Programme, U. (2017). RAPID INTEGRATED ASSESSMENT ( RIA ) To facilitate mainstreaming of SDGs.

Visvizi, A., & del Hoyo, R. P. (2021). Chapter 1 - Sustainable development goals (SDGs) in the smart city: A tool or an approach? (An introduction). In A. Visvizi & R. Pérez del Hoyo (Eds.), Smart Cities and the un SDGs (pp. 1–11). Elsevier. https://doi.org/10.1016/B978-0-323-85151-0.00001-4

Xie, S., Luo, N., & Yarime, M. (2023). Data governance for smart cities in China: the case of Shenzhen. Policy Design and Practice, 0(0), 1–21. https://doi.org/10.1080/25741292.2023.2297445

Zeng, Q., He, Z., & Zeng, Y. (2023). Public procurement, consumers’ preference and poverty alleviation through consumption. Socio-Economic Planning Sciences, 87, 101514. https://doi.org/10.1016/j.seps.2023.101514

Downloads

Published

2024-07-31

How to Cite

Muslikhatin, L., & Supriyadi, A. A. (2024). Sustainable environmental governance as the implementation of state defense policy. Journal of Placemaking and Streetscape Design, 2(1), 17–30. https://doi.org/10.61511/jpstd.v2i1.2024.984

Issue

Section

Articles

Citation Check