Unpacking Indonesia’s Greenhouse Gas Emissions (2000–2019): A Story of Growth, Volatility, and Shifting Sectors

Indonesia’s greenhouse gas (GHG) emissions profile presents a complex and dynamic picture, crucial to understanding the country’s environmental footprint and its role in global climate efforts. Analyzing detailed sectoral data from BPS Indonesia spanning two decades (2000–2019) reveals significant trends, underlying drivers, and inherent volatility within the nation’s emissions landscape.

Figure 1: Indonesian Greenhouse Gas (GHG) Emissions by Sector (2000–2019)

Overall Trend: Growth Marked by Extreme Variability

Total annual GHG emissions in Indonesia showed a general upward trend between 2000 and 2019, but this growth was punctuated by extreme year-to-year fluctuations (Figure 1a). The smoothed 3-year rolling average confirms this underlying rise, abstracting from the sharp annual noise (Figure 3c). These fluctuations are starkly evident in the annual percentage change, which saw swings from nearly -60% to +60% (Figure 1c), indicating years with dramatic emission surges or declines compared to the previous year.

The Dominant Sectors: Energy and Land Use Take Center Stage

Looking at the sectoral breakdown, two primary contributors dominate Indonesia’s emissions profile over the long term:

1. Energy: Consistently a major source, responsible for the largest cumulative emissions over the two decades (Figure 3a). Its contribution grew significantly, with average annual emissions in the 2010s being substantially higher than in the 2000s (Figure 3d).
2. Land Use (FOLU & Forest Fires): Combined, Forestry and Other Land Use (FOLU) and Forest Fires represent another massive component. While FOLU itself contributes significantly, Forest Fire emissions, though highly variable, are responsible for enormous peaks in total emissions during certain years (Figure 1b).

The 2019 snapshot (Figure 1d) confirms the dominance of Energy, FOLU, and Forest Fires in that specific year, followed by Waste, Agriculture, and Industrial Processes and Product Use (IPPU).

Figure 2: Diverse Perspectives on Indonesian Greenhouse Gas Emissions (2000–2019)

Volatility Driven by Land Use, Stability by Energy

The dramatic year-to-year swings in total emissions are largely driven by the Land Use sector, particularly Forest Fires. Figure 2b clearly shows that FOLU and Forest Fires are the primary sectors contributing to the large absolute annual changes in total emissions. The extreme variability of Forest Fires is further highlighted by its distribution (Figure 4c) and its position as the most volatile sector by far when plotting trend slope against volatility (Figure 2d). While related, annual FOLU and Forest Fire emissions don’t show a simple linear correlation (Figure 4b), suggesting complex interactions.

In contrast, the Energy sector, while growing steadily, exhibits much lower volatility (Figure 2d). Its emissions trend (Figure 1b) shows a more consistent upward path compared to the spikes seen in FOLU and Forest Fires. This is also reflected in its strong indexed growth relative to the base year 2000 (Figure 3b). Aggregating sectors confirms the distinct trends: a volatile, high-emission Land Use group and a steadily rising Energy System group (Figure 2c).

Figure 3: Aggregate Trends and Temporal Perspectives on Indonesian GHG Emissions (2000–2019)

Shifting Sectoral Importance and Interconnections

The relative importance of these sectors was not static. The stacked area chart of relative contributions (Figure 2a) shows significant shifts over time. The share contributed by Energy generally increased, while the shares from FOLU and Forest Fires fluctuated dramatically, often dominating in high-emission years (like 2015). This dynamic interplay is also visible in the evolution of sector emission ranks (Figure 4d), where Energy, FOLU, and Forest Fires frequently swapped the top positions depending on the year.

Interestingly, there are correlations between some sectors. The correlation matrix (Figure 4a) shows strong positive correlations between Energy, IPPU, Agriculture, and Waste, suggesting these sectors tend to grow (or decline) somewhat in tandem, likely linked to overall economic activity.

Figure 4: Sectoral Relationships, Characteristics, and Dynamics in Indonesian GHG Emissions (2000–2019)

A Complex Emissions Profile Requiring Targeted Action

Indonesia’s GHG emissions profile from 2000–2019, as detailed by BPS Indonesia, is characterized by:

• Significant Overall Emissions: With a generally increasing trend over two decades.
• Extreme Volatility: Primarily driven by highly variable emissions from Forest Fires and FOLU.
• Dual Dominance: Long-term contributions are led by steadily growing Energy emissions and fluctuating, often high, Land Use related emissions.
• Dynamic Importance: The rank and relative contribution of sectors, particularly Energy, FOLU, and Forest Fires, shifted considerably year by year.

This comprehensive analysis underscores the critical need for targeted climate mitigation strategies in Indonesia. Addressing the steady growth in Energy emissions requires different approaches than tackling the episodic, massive surges from Forest Fires and land use change. Understanding these distinct sectoral dynamics, their interconnections, and their inherent variability is fundamental for effective climate action.

Data source: All analysis based on data provided by BPS Indonesia (Statistics Indonesia).