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The Impact of Climate Change on Industrial and Total Productivity: Study Comparisons Among ASEAN and OECD Countries

This study employs a dynamic panel analysis of 28 OECD and ASEAN countries to reveal that while ASEAN economies face immediate, severe productivity losses due to their proximity to critical temperature thresholds, OECD nations currently exhibit short-term resilience but face significant long-term risks to industrial output, underscoring the critical role of industrial structure and adaptive capacity in shaping heterogeneous climate vulnerabilities.

Original authors: DZAKYATUR ROVIDAH, Wida Reza Hardiyanti

Published 2026-07-22

📖 6 min read🧠 Deep dive

CC BY 4.0

Original authors: DZAKYATUR ROVIDAH, Wida Reza Hardiyanti

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

The Invisible Heatwave in the Factory

Imagine the global economy as a giant, complex machine. For decades, scientists have known that this machine runs best when the weather is mild, but it starts to sputter when it gets too hot or too cold. This isn't just about people feeling sweaty; it's about the very engine of our wealth: productivity. Think of productivity as the "speed" at which workers and machines turn raw materials into finished goods. When the temperature rises, that speed can slow down because workers get tired, machines overheat, and mistakes happen.

But here is the tricky part: not all machines are built the same. Some factories are like cozy, air-conditioned libraries where the temperature is perfectly controlled. Others are like open-air construction sites or fields where workers are right out in the sun. This paper asks a big question: Does the heat hurt everyone equally, or does it only slow down the machines that are already sweating? The answer matters because as our planet gets warmer, we need to know which parts of our economy are most at risk so we can fix them before the engine stalls.

The Great Heat Test: Air-Conditioned Towers vs. Open-Air Fields

This study is like a massive, global report card comparing two very different groups of countries: the OECD (a club of wealthy, advanced nations with lots of high-tech factories) and ASEAN (a group of developing nations in Southeast Asia where many jobs are in manufacturing, construction, and farming). The researchers wanted to see how rising temperatures affect the "speed" of these economies, specifically looking at how much value workers create per hour.

They didn't just look at one year; they dug into data spanning from 1990 to 2020 (and up to 2024 for some ASEAN countries) across 28 different nations. To make sense of this, they used a special mathematical tool called a Panel ARDL. You can think of this tool as a time-traveling microscope. It lets scientists look at what happens right now when the weather changes (the short run) versus what happens after the economy has had time to adjust over many years (the long run).

The ASEAN Story: Standing on the Edge of a Cliff

For the ASEAN countries, the results are urgent. The study found that these economies are already standing right at the edge of a "productivity cliff." The average temperature in these regions is about 26.1°C, which is dangerously close to the tipping point the researchers identified at 26.6°C.

Imagine a runner who is already sprinting at their maximum speed. If you add just a tiny bit more weight to their backpack, they don't just slow down a little; they might collapse. That is what is happening here. Because the average temperature is already so close to the limit, even a tiny extra degree of heat causes a significant drop in how much workers can produce. This is especially true for jobs that happen outside or in hot factories, where workers are directly exposed to the sun. The study suggests that for these countries, heat is an immediate, active threat that is already slowing down their economic engine.

The OECD Story: The Slow-Motion Drag

Now, look at the OECD countries. These are the nations with cooler average climates and lots of air-conditioned offices and factories. The study found something surprising: in the short term, a hot year doesn't seem to hurt their productivity much. It's as if they have a thick, invisible shield (like air conditioning and flexible work hours) that protects them from the daily weather swings.

However, the "time-traveling microscope" revealed a hidden danger lurking in the long run. While they aren't collapsing today, the study suggests that if the world keeps getting warmer, these countries will start to feel a slow, steady drag on their economy. The researchers estimate that for every 1°C increase in temperature, the industrial sector could lose 1.5% of its productivity, and the manufacturing sector could lose a whopping 2.5%.

Think of it like a car driving with the parking brake slightly on. You might not notice it on a short trip, but over a long highway drive, the engine gets hot, the fuel runs out faster, and you get there much slower than you should. For these advanced nations, the heat isn't an immediate crash; it's a slow erosion of their efficiency that they might not see until it's too late.

The "Sweet Spot" and the Heat Trap

One of the coolest (and hottest) findings is that temperature and productivity don't have a straight-line relationship. Instead, they form an upside-down "U" shape. There is a "sweet spot" where the weather is just right for work.

For ASEAN, that sweet spot is around 26.6°C. Since they are already at 26.1°C, they are on the steep downward slope of the "U."
For OECD countries, the sweet spot for general industry is around 12.5°C, and for manufacturing, it's even cooler at 7.8°C.

This means that for the wealthy nations, their current cool climates are actually quite comfortable for work. But as the thermometer climbs past their sweet spots, their productivity will start to drop, just like the ASEAN countries, only they have a bit more time before they hit the wall.

What Doesn't Matter (Surprisingly)

The study also ruled out a few things people might expect to be the main drivers.

Trade Openness: You might think that countries that trade more with the world would be more productive. The study found that for the big industrial sectors, simply trading more doesn't automatically make the economy faster. However, for the specific manufacturing sector, being open to trade does help, likely because it allows access to better tools and parts.
City Size: Just having more people living in cities (urbanization) doesn't automatically make workers more productive. It's not the number of people that matters, but how well the city is built and managed.
Short-Term Weather Swings: For the wealthy OECD nations, a single hot year doesn't change their productivity much. The damage comes from the trend of getting hotter over decades, not just a hot summer.

The Bottom Line

The main takeaway is that climate change isn't a "one-size-fits-all" problem. It hits the ASEAN countries like a sledgehammer right now because they are already too hot and lack the cooling infrastructure to protect their workers. It hits the OECD countries like a slow leak in a tire; they are safe for now, but if they don't fix their cooling systems and adapt their factories, they will lose speed over time.

The researchers suggest that we can't just wait and see. We need to build better air conditioning, design cities that stay cool, and plan our industries with the future heat in mind. If we don't, the "speed" of our global economy will keep slowing down, no matter how hard we work.

Technical Summary: The Impact of Climate Change on Industrial and Total Productivity

Problem Statement and Research Gap
While the aggregate negative relationship between temperature and economic output is established, the mechanisms mediating this relationship across different stages of development remain poorly understood. Existing literature often relies on aggregate, country-level data, implicitly assuming homogeneous effects across sectors, which obscures the critical role of industrial composition. Furthermore, there is a scarcity of comparative research systematically analyzing these mediated impacts across starkly different development blocs, such as the OECD and ASEAN. Most studies focus on single regions, specific sectors (notably agriculture), or micro-level analyses, leaving a void in macro-sectoral, cross-bloc comparative evidence. Additionally, few studies integrate sectoral indicators into dynamic frameworks capable of distinguishing short-run weather shocks from long-run climatic adjustments. This study addresses these gaps by investigating how industrial structure and adaptive capacity systematically mediate the impact of climate change on industrial and aggregate productivity, specifically comparing advanced (OECD) and emerging (ASEAN) economies.

Methodology
The study employs a quantitative panel-data design utilizing an unbalanced annual panel covering 28 OECD and ASEAN countries from 1990 to 2020 (extended to 2024 for ASEAN where data permits). The dataset integrates variables from the World Bank's World Development Indicators (WDI), OECD International Direct Investment Statistics, ASEAN Statistical Databases, and the Macroeconomic Climate Indicators Dashboard.

To capture productivity outcomes, the study utilizes multiple dependent variables, including industrial and manufacturing value-added per worker (logged) and total value-added. The primary climate indicator is annual average temperature (°C), with temperature anomalies used in selected specifications. The empirical specification includes standard macroeconomic controls: GDP growth, trade openness, urban population share, real effective exchange rate, and PPP conversion factors.

The core analytical framework is a dynamic Panel Autoregressive Distributed Lag (ARDL) model estimated using the Pooled Mean Group (PMG) approach. This method is selected for three key reasons:

It distinguishes short-run fluctuations from long-run equilibrium effects, essential for modeling the slow-moving nature of climate change.
It accommodates variables with mixed orders of integration (I(0) and I(1)).
It allows for heterogeneous short-run dynamics across countries while constraining long-run relationships.

The model is estimated in its Error Correction Model (ECM) form to identify the speed of adjustment ( $\lambda_i$ ) and confirm cointegration. The analysis includes quadratic temperature terms to identify non-linear, inverted U-shaped relationships and optimal temperature thresholds. Robustness checks involve alternative specifications, including clustered standard errors, outlier exclusion, and lag variations.

Key Findings
The analysis reveals a stark divergence in climate vulnerability between ASEAN and OECD economies, driven by differences in industrial structure and adaptive capacity.

ASEAN Economies: The study identifies a non-linear, inverted U-shaped relationship between temperature and productivity with a turning point (optimal temperature) at approximately 26.64°C. Since the regional average temperature (26.07°C) is perilously close to this threshold, marginal future warming is projected to trigger significant output losses. The long-run fixed-effects model indicates a statistically significant negative coefficient (-0.0894), suggesting that increased temperatures exert a detrimental effect on industrial output per worker. The analysis highlights that a large portion of the ASEAN workforce is directly exposed to heat stress, particularly in outdoor-intensive and manufacturing sectors.
OECD Economies: In contrast, OECD economies show no significant short-term productivity response to year-to-year temperature fluctuations. This is attributed to cooler average climates and widespread climate-controlled work environments. However, the study identifies a latent long-term risk. While short-run coefficients are insignificant, the long-run multipliers indicate that a sustained 1°C increase in temperature is associated with a productivity decline of approximately 1.5% in the broad industrial sector and 2.5% in manufacturing. The optimal temperature for manufacturing in OECD countries is estimated at a much cooler 7.8°C, underscoring its sensitivity.
Persistence and Drivers: Across both blocs, industrial productivity exhibits high persistence, with lag coefficients ranging from 0.81 to 0.87, indicating strong path dependence where past levels dominate current outcomes. GDP per capita is a dominant short-run driver of productivity but shows a negligible or negative long-run relationship in OECD models, potentially signaling conditional convergence or a structural shift toward services. Trade openness is a robust driver for manufacturing productivity but less significant for aggregate industrial productivity.

Significance and Contributions
The paper claims to advance the literature in three primary ways:

Methodological Integration: It integrates sectoral exposure and adaptation metrics into a dynamic panel ARDL/PMG framework, allowing for the disentangling of the mediating role of industrial structure in climate–productivity linkages.
Comparative Evidence: By directly comparing OECD and ASEAN blocs, the study provides novel macro-level evidence on how economic development shapes heterogeneous climate vulnerabilities. It demonstrates that similar temperature changes yield systematically different outcomes based on structural economic conditions.
Policy Reframing: The identification of non-linear threshold effects reframes climate change from a transitory environmental shock to a structural constraint on long-term growth and competitiveness. The findings suggest that adaptation strategies often shift damages from the short run to the long run rather than eliminating them, necessitating a shift from reactive mitigation to proactive, sector-specific adaptation integrated into core economic planning.

The study concludes that while OECD countries possess the capacity to insulate against short-term shocks, they face cumulative long-term erosion, particularly in manufacturing. Conversely, ASEAN economies, operating near critical thermal thresholds, face immediate and disproportionate risks to labor-intensive sectors. The authors emphasize that effective policy requires tailored adaptation strategies informed by granular, localized vulnerability assessments to safeguard long-term economic competitiveness.