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Spatial Determinants and Spillover Effects of Carbon Emissions in SAARC Countries: Evidence from SAR, SEM, SDM, and SDEM Models

This study utilizes advanced spatial econometric models on SAARC countries from 1990 to 2024 to demonstrate that carbon emissions exhibit significant spatial interdependence driven primarily by FDI, GDP, and urbanization, thereby supporting the pollution haven hypothesis and advocating for regional rather than national carbon abatement policies.

Original authors: Bharat Singh, Rakshit Negi

Published 2026-10-06
📖 5 min read🧠 Deep dive

Original authors: Bharat Singh, Rakshit Negi

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

In the crowded, rapidly developing nations of South Asia, the air is thick with more than just humidity; it is heavy with the invisible byproduct of progress. As countries like India, Pakistan, and Bangladesh industrialize, build cities, and welcome foreign investment, they are also pumping vast amounts of carbon dioxide into the atmosphere. For decades, scientists have tried to understand what drives these emissions, looking at how much money a country makes, how many people live in cities, and how much trade it conducts. A common idea in economics suggests that as nations get richer, they eventually start cleaning up their act, but many experts believe South Asia is still in the messy, growing phase where economic expansion directly fuels pollution. Another long-standing debate asks whether foreign companies move their dirtiest factories to countries with weaker environmental rules, a theory known as the "pollution haven" idea. The challenge for researchers has always been that pollution does not respect national borders. Smoke from one country drifts into another, and economic decisions in one capital affect neighbors down the road. Traditional ways of studying this data often treated each country as an isolated island, ignoring the fact that what happens next door matters just as much as what happens at home.

A team of researchers set out to solve this puzzle by looking at the eight member nations of the South Asian Association for Regional Cooperation not as separate entities, but as a connected web. They gathered data spanning thirty-four years, from 1990 to 2024, covering everything from foreign investment and gross domestic product to urban population growth and the quality of local governance. Instead of using standard statistical tools that assume countries act independently, they employed a specialized set of mathematical techniques designed specifically to measure how one place influences its neighbors. Imagine trying to understand the temperature in a room by measuring only the air in one corner while ignoring the heat radiating from the rest of the space; the researchers wanted to measure the heat from the whole room at once. They tested several different models to see which one best captured the complex reality of the region, checking their work against different assumptions about how far pollution and economic effects travel across the landscape.

The results of this extensive analysis were clear and decisive: the old way of looking at the data was missing the most important part of the story. The researchers found strong evidence that carbon emissions in one country are deeply linked to emissions in its neighbors, confirming that pollution is a regional phenomenon. When they compared their new, connected models against the traditional, isolated ones, the connected models proved far superior at explaining the data. The most accurate picture emerged from a model that accounted for both the direct influence of neighbors' emissions and the influence of neighbors' economic policies. This approach revealed that the drivers of pollution are not just local but are shaped by a web of cross-border interactions.

The study identified foreign direct investment as the single most powerful engine driving carbon emissions in the region. The data showed that for every increase in foreign investment, there was a substantial and immediate rise in local carbon output. This finding strongly supports the "pollution haven" hypothesis, suggesting that the region is indeed attracting industries that are heavy polluters, likely because environmental regulations are less strict there than in the investors' home countries. However, the study also uncovered a fascinating twist in this relationship. While foreign investment boosts pollution within the country receiving it, the data suggested a slight dampening effect on the immediate neighbors. This implies a complex dynamic where a country might become a hub for dirty industry, inadvertently pushing some of that activity away from its borders, or perhaps creating a competitive pressure that limits pollution elsewhere.

Other factors played significant roles as well. The researchers found that as people move into cities and urban populations grow, carbon emissions rise, but this effect is largely contained within the city itself and does not spread far to neighboring regions. Similarly, the level of economic development, measured by income per person, continues to push emissions higher, confirming that these nations are still on the upward slope of the curve where growth equals more pollution. Interestingly, the study found that better governance and stronger control over corruption were linked to higher emissions in the statistical models, a counterintuitive result that suggests effective governments might be successfully attracting the very industrial investments that drive the economy but also the pollution. Conversely, trade openness showed a small, positive effect on reducing emissions, hinting that opening borders to trade might eventually bring in cleaner technologies, even if the immediate impact is mixed.

Perhaps the most critical takeaway for policymakers is that the region cannot tackle climate change by acting alone. The study demonstrated that the environmental choices of one nation ripple out to affect all its neighbors. Because the pollution is so interconnected, a strategy that works for one country might fail if its neighbors are not doing the same. The researchers concluded that the most effective path forward involves regional cooperation. They suggested that the nations should work together to screen foreign investments for their environmental impact, create shared standards for industrial emissions, and coordinate their urban planning. By treating the region as a single, shared ecosystem rather than a collection of separate borders, South Asian nations could better manage the environmental costs of their rapid growth and ensure that the benefits of development do not come at the expense of the air they all breathe.

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