Despite extensive studies into international trade and CO2 pollution, a panel of only top exporting economies was not considered. As the current research is an endeavor to address the gap by exploring the impact of economic complexity index (ECI) and renewable energy electricity (RELC) on consumption-based carbon emissions (CCO2) in the presences of exports, imports, and gross domestic product (GDP) in the top exporting countries from 1990 to 2019. The results confirm a relationship between consumption-based carbon emissions, economic complexity index, renewable energy electricity, exports, imports, and economic growth in both the short-run and long run. Empirical evidence for cross-sectional auto-regressive distributed lags (CS-ARDL) estimates, confirms that economic complexity index imports and GDP are positively associated and have significant adverse short-run and long-run impacts on consumption-based carbon emission. Whereas, export and renewable energy electricity significantly reduce carbon emissions. To achieve carbon neutrality target, policymakers should make economic complexity reforms, import green products, and promote investments in sustainable sources.

中文翻译：

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可再生能源电力和经济复杂性指数是否有助于实现主要出口国的碳中和目标？

尽管对国际贸易和二氧化碳污染进行了广泛的研究，但并未考虑仅由顶级出口经济体组成的小组。由于当前的研究是通过探索经济复杂性指数 (ECI) 和可再生能源电力 (RELC) 在出口、进口和国内生产总值的情况下对基于消费的碳排放 (CCO2) 的影响来解决这一差距的努力1990 年至 2019 年主要出口国的 GDP（GDP）。结果证实了基于消费的碳排放、经济复杂性指数、可再生能源电力、出口、进口和短期和长期经济增长之间的关系。横截面自回归分布滞后 (CS-ARDL) 估计的经验证据，证实经济复杂性指数进口与 GDP 呈正相关，并对基于消费的碳排放产生显着的短期和长期不利影响。而出口和可再生能源电力显着减少了碳排放。为实现碳中和目标，政策制定者应进行经济复杂性改革，进口绿色产品，并促进对可持续资源的投资。