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A Comprehensive Examination of the Impact of Income and Subtypes of Energy and Waste-Related Patents on Waste Sector Emissions in the USA through Marginal Impact Analysis

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  • Kartal, Mustafa Tevfik
  • Mukhtarov, Shahriyar
  • Huseynova, Rena
  • Ayhan, Fatih

Abstract

This research examines waste sector emissions in a high-income country, given their critical importance. In this context, the study examines the USA, considers waste sector methane (WCH4) emissions as the main variable and waste sector greenhouse gas (WGHG) emissions for robustness, uses waste-related patent subtypes, income, and energy consumption (EC) as explanatory variables, and performs a kernel regularized least squares (KRLS) model on data between 1990 and 2021. The outcomes suggest that (i) income declines waste sector emissions across lower and middle (0.25th & 0.50th) percentiles; (ii) nuclear EC has a negative impact on waste sector emissions, whereas it is not valid for renewable and fossil EC; (iii) with some exceptions (e.g., fuel from waste at 0.75th percentiles), waste-related patent subtypes have a negative impact on waste sector emissions; (iv) among all, patents for solid waste management has the highest negative impact; (v) the robustness of the empirical outcomes is validated; (vi) the KRLS model explains 97.82 % variations of waste sector emissions. In sum, the research proves the differentiating impact of the factors on waste sector emissions across percentiles in the USA. Thus, the study discusses various policy implications that can help to reduce waste sector emissions.

Suggested Citation

  • Kartal, Mustafa Tevfik & Mukhtarov, Shahriyar & Huseynova, Rena & Ayhan, Fatih, 2026. "A Comprehensive Examination of the Impact of Income and Subtypes of Energy and Waste-Related Patents on Waste Sector Emissions in the USA through Marginal Impact Analysis," Renewable Energy, Elsevier, vol. 258(C).
  • Handle: RePEc:eee:renene:v:258:y:2026:i:c:s0960148125027065
    DOI: 10.1016/j.renene.2025.125042
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    References listed on IDEAS

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