Mojie Li

Dr. Mojie Li

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 July 2025 in Environment, Development and Sustainability
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Journal Article
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KZKun Zhang
Kun Zhang
PZPeihua Zhu
Peihua Zhu
MLMojie Li
Mojie Li

22 October 2026 in Sustainability
Verified
Journal Article
Open access
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MLMojie Li
Mojie Li
Monitoring progress towards energy-efficiency goals such as Sustainable Development Goal Target 7.3 requires distinguishing lower energy use per unit of output from lower production. This study examines China’s 2021 mid-year warnings on provincial progress towards targets for total energy consumption and energy intensity using monthly output of nine industrial products and annual energy and economic data for 30 provinces. A warning score combines red, orange, and green ratings on both targets. A triple-difference model compares output of energy-intensive and less energy-intensive products relative to pre-warning trends, and an annual fixed-effects model decomposes energy intensity into energy consumption and real GDP. After adjustment for pre-warning trends, higher scores are associated with slower relative output growth of energy-intensive products; without this adjustment the estimate is near zero, consistent with the faster pre-warning expansion of these products in high-score provinces. Higher scores are also associated with a relative rise in regional energy intensity, mainly reflecting faster energy consumption growth; this holds under alternative score codings and energy data checks, but weakens with province-specific trends. These conditional associations suggest that slower growth of energy-intensive output does not by itself indicate improved energy efficiency; thus, monitoring should track energy consumption, real GDP, and key products together.