The Philippines possesses significant solar energy potential, yet the adoption of rooftop solar power (RTSP) among households remains limited despite its benefits in reducing electricity costs and contributing to the clean energy transition. This study investigates the determinants influencing households’ willingness to adopt RTSP in Metro Manila and surrounding provinces, utilizing the contingent valuation method. Survey results indicate that economic factors, particularly the potential for electricity bill reduction, along with environmental considerations, are positively associated with adoption intentions. While a substantial portion of households (82%) expressed some level of intention to adopt RTSP, the figure drops to 20% when focusing exclusively on households with definitive adoption plans. This suggests that perceived returns on RTSP investments are insufficient to spur broader adoption without further intervention. Policy measures, including increased financial incentives such as enhanced net metering rates, the accreditation of RTSP providers to mitigate perceived risks, and the provision of low-cost financing options, are deemed necessary to enhance adoption rates. Additionally, other economic advantages, such as property value appreciation and enhanced roof durability, could be emphasized in future marketing and public awareness campaigns to strengthen the case for RTSP adoption. Greater government support is critical to unlocking the potential of RTSP in the Philippines and aligning household energy practices with national sustainability goals.
The growing global population has placed increasing pressure on the agriculture sector to meet rising food demand, posing significant environmental and ecological challenges. This review systematically examines 70 studies selected from the Scopus database, with a focus on the environmental impacts of agriculture and potential mitigation strategies. Of the 70 articles, 38 studies explore the macroeconomic environmental effects of agriculture. While 10 studies report positive environmental contributions from the sector, 23 highlight adverse ecological consequences. Additionally, various studies indicate U-shaped, inverted U-shaped, or N-shaped relationships between agricultural activities and pollution levels. Livestock production and the extensive use of synthetic fertilisers are identified as major contributors to greenhouse gas (GHG) emissions, while the widespread use of pesticides and herbicides has been shown to cause soil and water contamination. Further environmental degradation is linked to deforestation driven by agricultural expansion, which reduces carbon sinks and biodiversity. The agriculture sector's dependence on fossil fuels also exacerbates its GHG emissions, while its significant freshwater consumption heightens concerns about water scarcity. Moreover, soil degradation, often resulting from monocropping and conventional farming practices, presents an ongoing challenge. However, sustainable agricultural practices, such as agroforestry, crop rotation, conservation tillage, and organic farming, offer promising solutions to mitigate these environmental impacts. These practices not only enhance soil health by reducing chemical inputs but also promote biodiversity within farming systems. Precision agriculture, optimisation of water, fertiliser, and pesticide usage, the adoption of native plant species, and the integration of renewable energy sources have been identified as key strategies for improving the sustainability of agricultural operations. Additionally, genetic advancements in crop development may play a critical role in addressing the sector’s environmental footprint. By adopting these sustainable methods, the agriculture sector has the potential to increase productivity while significantly reducing its environmental impact, contributing to the overall goal of ecological sustainability.
This study investigates the complex interrelationships between environmental quality, economic growth, and human capital across 34 provinces in Indonesia from 2017 to 2023, employing a vector autoregression (VAR) approach. The analysis seeks to elucidate how these three critical dimensions influence one another and to provide insights for formulating sustainable development policies that balance economic progress with environmental preservation and human capital enhancement. The findings reveal a bidirectional causality between environmental quality and economic growth, indicating that improvements in one are likely to promote advances in the other. A similar bidirectional causality is observed between environmental quality and human capital, suggesting that better environmental conditions may enhance human capital development, which in turn can contribute to environmental sustainability. However, the relationship between economic growth and human capital is found to be unidirectional, with evidence showing that human capital positively influences economic growth, but not vice versa. This unidirectional causality highlights the importance of investing in human capital to sustain economic growth without compromising environmental integrity. The study underscores the necessity of integrated policy approaches that simultaneously address environmental quality, economic growth, and human capital development. Focusing narrowly on economic growth without considering its environmental and social dimensions may lead to adverse outcomes, undermining long-term sustainability objectives. Therefore, it is recommended that policymakers in Indonesia adopt a holistic perspective, integrating environmental, economic, and social policies to achieve sustainable development goals. The findings of this study provide a nuanced understanding of the interplay among these factors and offer valuable guidance for designing policies that ensure balanced and sustainable development in Indonesia.
Sustainable development has garnered significant attention due to its multifaceted benefits across social, economic, and environmental dimensions. This study investigates the influence of international performance indicators, specifically organisational agility, data science applications, and strategic partnerships, on the advancement of sustainable development initiatives. Additionally, the role of business intelligence (BI) techniques in augmenting this relationship is examined. A mixed-methods approach was employed, integrating both quantitative and qualitative analyses to comprehensively address the research objectives. A systematic review of the relevant literature was conducted, supplemented by data sourced from the World Bank, which was subsequently analysed using Power BI software. This global study encompassed diverse samples from various regions, ensuring a broad representation of perspectives. The findings reveal that the integration of organisational agility, data science applications, and partnerships, when enhanced by BI techniques, significantly accelerates the achievement of sustainable development goals (SDGs). It is concluded that leveraging these international performance indicators, alongside advanced data-driven methodologies, is critical for fostering a more sustainable future.
The Sustainable Development Goals (SDGs), particularly Goal 11 (Sustainable Cities and Communities) and Goal 13 (Climate Action), underscore the interconnectedness between air quality and climate change. Escalating levels of air pollution in both urban and rural regions of Indonesia necessitate a deeper understanding of the factors contributing to air quality degradation. This study employs a generalized linear modeling approach, specifically focusing on ordinal logistic regression, to explore the determinants influencing the Air Quality Index (AQI) across 34 provinces in Indonesia. Key predictors, including motor vehicle density, population density, Greenhouse Gas (GHG) emissions, and forest cover, are analyzed to assess their impact on air quality levels. The findings indicate that the number of motor vehicles and the extent of forest cover are significant predictors of air quality. Elevated motor vehicle density is shown to deteriorate the AQI, while larger forest cover areas are associated with improvements in air quality. These results emphasize the importance of targeted environmental interventions, particularly those aimed at reducing vehicle emissions and preserving forest ecosystems. The study highlights the need for the development and enforcement of policies that promote sustainable urban mobility and forest conservation to mitigate air pollution. By providing a comprehensive statistical framework through ordinal logistic regression, this research offers actionable insights for policymakers. The findings can guide the formulation of effective environmental management strategies, supporting efforts to achieve sustainable development objectives. Moreover, this study demonstrates the relevance of adopting rigorous statistical models to address complex environmental challenges, contributing to the broader discourse on sustainability and climate action.
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