Food, Energy, and Water Nexus Efficiency for 280 Chinese Cities, 2014-2022

A dataset of food consumption and water use for 280 Chinese cities from 2014 to 2022, developed using a downscaling model based on a feedforward neural network. Yu Yu created this dataset to measure food–energy–water (FEW) nexus efficiency and examine its association with cadres’ intercity transfer experience. The data shows FEW nexus efficiency increased, especially in cities led by cadres with prior intercity appointment experience.

Use Cases

• Analyzing trends in food–energy–water nexus efficiency based on city-level data from 2014 to 2022.
• Investigating the relationship between cadre intercity transfer experience and urban resource efficiency metrics.
• Modeling the impact of government green subsidies on integrated resource use, as suggested by the study's findings.
• Examining how promotion incentives and prior environmental governance experience moderate FEW nexus efficiency.

Strengths

• Covers 280 Chinese cities, providing a broad urban sample.
• Includes a 9-year time series from 2014 to 2022 for longitudinal analysis.
• Derived using a downscaling model based on a feedforward neural network, suggesting a structured methodology.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to its focus on Chinese cities.

Provenance

Source

figshare, author Yu Yu.

Collection Method

Developed using a downscaling model based on a feedforward neural network, with data envelopment analysis applied.

Time Range

2014 to 2022

Freshness

Last updated 2026-05-27 15:46:22; freshness should be verified.

Geography

280 cities in China