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Integrated Interaction Between Tourism, Economy, and Ecology in Indonesia: Coupling Coordination Degree Method Faizah, Raudlatul; Kusumawardani, Deni
EKO-REGIONAL Vol 19 No 1 (2024)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/1.erjpe.2024.19.1.3900

Abstract

Indonesian tourism sector becomes an important part of national development planning over the past decade. However, the development of the tourism sector stimulates many negative ecological issues, such as garbage deposits, emissions, and other environmental degradation. Tourism has a complex relationship with the economy and ecological quality, so it is essential to investigate the progress of a tourism-economy-ecology system. An integrated study of the system can be analyzed using the coupling coordination degree method (CCDM). This method provides an overview of the interaction rate and the level of coordination in the systems over time. The findings show that the degree of coupling between tourism-economy-ecology systems increases from run-in to high phases. This condition indicates that there was a strong connection between the systems during the observation. Meanwhile, the degree of coupling coordination constitutes an ever-increasing evolution from approaching disorder to well coordination. It shows that the systems are increasingly supportive of each other. Conversely, the higher level of coordination is accompanied by a decline in the environmental system. Promoting ecological quality is a critical policy for sustainable tourism growth, and it demands more attention from all parties involved in the tourism industry.
Tourism and Sustainable Development: Its Impact on Energy, Economy, and CO₂ Emissions Aplugi, Belantika; Kusumawardani, Deni
Jurnal Ilmu Ekonomi Terapan Vol. 10 No. 2 (2025)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jiet.v10i2.77484

Abstract

Objective: This study investigates the effects of tourism on energy consumption, economic growth, and CO₂ emissions using annual data from 2002 to 2022. The main objective is to understand both the short- and long-term relationships between tourism and key economic–environmental dimensions, providing an empirical foundation for sustainable development strategies. Design/Methods/Approach: Secondary data were obtained from the World Development Indicators (WDI). The Autoregressive Distributed Lag (ARDL) model was employed to examine both short- and long-run dynamics among tourism, energy use, economic growth, and CO₂ emissions. The ARDL framework was chosen for its ability to capture temporal adjustment processes and interdependencies across the variables of interest. Findings:The results indicate that, in the short term, tourism significantly increases energy consumption and stimulates economic growth, while its effect on CO₂ emissions is statistically insignificant. In the long run, higher tourist expenditures are associated with lower energy use, reflecting improved energy efficiency within the tourism sector. Conversely, tourism receipts negatively influence economic growth over time, suggesting the presence of economic leakage. Moreover, no significant long-term linkage is found between tourism and CO₂ emissions. Originality/Value: This study contributes by quantifying the multidimensional impacts of tourism on both economic and environmental outcomes within a developing-country context. By employing the ARDL model, it advances the literature on tourism sustainability, offering empirically grounded insights relevant to policy formulation for green growth. Practical/Policy implication: The findings emphasize the need for sustainable tourism policies to mitigate environmental impacts while maintaining economic benefits. Policymakers should prioritize improving energy efficiency within the tourism sector, investing in renewable energy initiatives, and promoting eco-friendly tourism practices. These actions can help balance growth and sustainability, supporting long-term green development goals.
DECOMPOSITION ANALYSIS OF CO2 EMISSION IN INDONESIA’S ENERGY-INTENSIVE INDUSTRIES Andri Febriyanda; Deni Kusumawardani; Muhammad Adnan
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 4 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i4.3117

Abstract

The growth of the industrial sector through industrialization greatly affects the increase in CO2 emissions. Energy conservation and diversification policies need to be carried out to reduce CO2 emissions, especially in energy-intensive industries. This study aims to decompose and analyze the factors that cause changes in CO2 emissions using the LMDI method. The data used in this study was sourced from large and medium industry surveys during the period 2010-2015. The results show that the effects of changes in economic activity, industrial economic structure and energy intensity are the main factors that contribute to the increase in CO2 emissions in the cement, food, pulp & paper, chemical and textile industries. The structural effects of energy composition and emission coefficients have not shown a significant contribution to the increase or decrease of CO2 emissions. Policy recommendations to reduce CO2 emissions in energy-intensive industries are to encourage energy efficiency and transition through the use of energy-saving and low-carbon technologies, as well as revitalize old and inefficient technologies.
Energy Efficiency in the Ceramic and Clay Building Materials Industry in Indonesia Khusnul Ainia Aprilinda; Deni Kusumawardani
Journal of Mathematics Instruction, Social Research and Opinion Vol. 5 No. 1 (2026): March
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v5i1.1295

Abstract

The Indonesian clay and ceramic building materials industry is highly energy-intensive, yet firm-level evidence on energy efficiency during the 2010–2015 period remains limited. This study aims to measure energy efficiency and identify its key determinants within the sector. Energy efficiency is estimated using the Slack-Based Measure Data Envelopment Analysis (SBM-DEA), and a Tobit regression model is applied to examine firm-level determinants using data from the BPS Large and Medium Industry Survey (IBS). The results show an average efficiency score of 0.60, indicating a potential 40% improvement. Subsector disparities are evident, with sanitary ware and porcelain industries outperforming brick and tile industries. Tobit results show that business scale, firm status, and production composition have positive and significant effects on efficiency, while export orientation has a negative effect. These findings indicate that inefficiency is primarily driven by structural and firm-specific factors rather than technological constraints, implying that improving energy efficiency requires structural transformation alongside technological upgrading.
Green Innovation, Renewable Energy, and Institutional Quality in Driving CO₂ Emission Decoupling: Evidence from Developing Countries Ryan Anward; Deni Kusumawardani; Lilik Sugiharti
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 9 No. 1 (2026)
Publisher : PPJP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jiep.v9i1.2959

Abstract

This study examines CO₂ emission decoupling in developing countries as a broader indicator of sustainable economic performance, not merely as emission reduction. Specifically, it analyzes the roles of green innovation, renewable energy consumption, and institutional quality in explaining whether economic growth can be increasingly separated from CO₂ emissions through technological capability, energy-system transition, and governance capacity. Using panel data from 34 developing countries over the period 2002–2021, the study applies the Tapio decoupling index to measure CO₂ emission decoupling status and transforms the resulting classification into an ordinal variable with three categories: negative decoupling, coupling, and decoupling. The determinants of decoupling status are analyzed using a panel generalized ordered logit model with average marginal effects estimation. The results show that green innovation significantly increases the probability of a country being in the decoupling category. Renewable energy consumption has no statistically significant effect. Institutional quality is negatively associated with decoupling, whereas its interaction with renewable energy is not statistically significant. Population has a significant negative effect on the probability of decoupling. Overall, the findings identify green innovation as a robust positive determinant of decoupling performance in developing countries, while the roles of renewable energy and institutional quality remain constrained in supporting low-carbon transition.