Revisiting the Load Capacity Curve for Sustainable Development: The Roles of Plastic Waste Trade, Digital Trade, and <scp>BioTrade</scp> in <scp>OECD</scp> Countries

ABSTRACT This study examines the validity of the Load Capacity Curve (LCC) hypothesis and assesses the environmental implications of emerging trade structures, focusing on BioTrade, digital trade, and plastic waste trade. Using a balanced panel of 36 OECD countries from 2011 to 2023, the analysis investigates how income dynamics and trade composition jointly influence the load capacity factor (LCF). Methodologically, the study employs the regularized Common Correlated Effects (rCCE) estimator and the Bias‐Corrected Method of Moments (BCMM) approach. The empirical findings provide robust evidence supporting the LCC hypothesis, revealing a U‐shaped relationship between income and LCF in OECD economies. Digital trade and BioTrade significantly enhance ecological capacity, reflecting the roles of technological diffusion, efficiency gains, and biodiversity‐oriented economic activities. In contrast, plastic waste trade has a detrimental effect on LCF, highlighting the environmental risks associated with waste‐driven trade flows. Based on these results, the study recommends that OECD countries strengthen digital and biodiversity‐based trade channels while tightening regulations on plastic waste trade. Leveraging the LCC mechanism through sustainability‐oriented trade policies can enable advanced economies to convert economic growth into long‐term ecological resilience.

Institutions

Publication Details

Journal
Sustainable Development
Published
2026-05-19
DOI
https://doi.org/10.1002/sd.71199
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revisiting the Load Capacity Curve for Sustainable Development: The Roles of Plastic Waste Trade, Digital Trade, and BioTrade in OECD Countries

Sustainable Development
Municipal Solid Waste Management
article

Revisiting the Load Capacity Curve for Sustainable Development: The Roles of Plastic Waste Trade, Digital Trade, and BioTrade in OECD Countries

article en

Abstract

ABSTRACT This study examines the validity of the Load Capacity Curve (LCC) hypothesis and assesses the environmental implications of emerging trade structures, focusing on BioTrade, digital trade, and plastic waste trade. Using a balanced panel of 36 OECD countries from 2011 to 2023, the analysis investigates how income dynamics and trade composition jointly influence the load capacity factor (LCF). Methodologically, the study employs the regularized Common Correlated Effects (rCCE) estimator and the Bias‐Corrected Method of Moments (BCMM) approach. The empirical findings provide robust evidence supporting the LCC hypothesis, revealing a U‐shaped relationship between income and LCF in OECD economies. Digital trade and BioTrade significantly enhance ecological capacity, reflecting the roles of technological diffusion, efficiency gains, and biodiversity‐oriented economic activities. In contrast, plastic waste trade has a detrimental effect on LCF, highlighting the environmental risks associated with waste‐driven trade flows. Based on these results, the study recommends that OECD countries strengthen digital and biodiversity‐based trade channels while tightening regulations on plastic waste trade. Leveraging the LCC mechanism through sustainability‐oriented trade policies can enable advanced economies to convert economic growth into long‐term ecological resilience.

Sustainable Development
Bingöl University (TR), Korea University (KR), Azerbaijan State University of Economics (AZ), Faculty of Design (SI)
Openalex Percentile: Top 5%
Municipal Solid Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.