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Data · dataset · 2026

Panel Dataset of Economic and Social Development Indicators for 55 Prefecture-Level and Above Cities along the Western Land-Sea New Corridor, 2010–2023

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1.

Description

Data background and research objectives The Western Land Sea New Corridor is an important north-south strategic corridor in China, connecting multiple provinces in the western region and playing an important role in promoting regional coordinated development, opening up to the outside world, and industrial upgrading. This dataset aims to provide multidimensional panel data for studying the economic resilience, innovation capability, green transformation, and urbanization process of cities along the channel, supporting regional economic gap analysis, policy evaluation, and spatial econometric modeling. 2.

Data generation method Data source: All original indicators are from the "China Urban Statistical Yearbook", "China Regional Economic Statistical Yearbook", and statistical yearbooks of various provinces and cities. Some indicators have been calculated and organized by the author. Missing value handling: Linear interpolation or mean replacement is used for missing data of some years in individual cities. Indicator calculation: Per capita GDP (PGDP) is calculated at current prices, with some years adjusted to comparable prices based on the GDP deflator index. The urbanization rate (URB) is calculated by dividing the urban population by the total population. OPEN is the ratio of total import and export value to GDP. Environmental regulation (ER) is based on investment in industrial pollution control/industrial added value. Informatization (INFO) adopts Internet broadband access users/total population. Agglomeration Degree (AGG) refers to employment density or location entropy (please specify). Green Technology Innovation (GTI) adopts the number of green patent applications per 10000 people. ERI (Economic Resilience Index) and CCI (Innovation Index) are synthesized by the author using entropy method/principal component analysis to synthesize multiple sub indicators.

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The specific composition can be found in the main text of the paper. Data standardization: Some indicators have been standardized by range or Z-score to eliminate the influence of dimensionality. 

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Text 75% · Urban and regional planning 74%
Provenance · 1 source records, 14 field assertions
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ScienceDB10.57760/sciencedb.cjae.001587 d agoJSON v1
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