Favorable geopolitical conditions rather than climate promoted societal development in historical Xinjiang region, China

The contemporary renaissance of the ancient Silk Road through China’s Belt and Road Initiative has brought Xinjiang—a pivotal hub along this historic trade corridor—worldwide attention. This resurgence highlights a critical academic lacuna: despite the profound significance of the past social development in Xinjiang in comprehensively understanding Chinese history, the key factors governing its long-term social evolution remain unclear. Such limitation is probably constrained by fragmented frontier historical records and the lack of comprehensive quantitative analyses integrating socio-natural systems. This study innovatively employs multi-proxy historical records from 200 BCE to 1912 CE, in particular systematically categorized warfare data, using Pearson’s correlation, multivariate regression modeling, and Granger causality analyses at annual resolution. Our findings reveal that the historical social development in the Xinjiang region is fundamentally driven by favorable geopolitical situation rather than pleasant climate, especially during the unified administrations of the Han, Sui-Tang, and Qing dynasties. Specifically, while climatic factors exhibit limited correlation and almost no causation with (geo-)political and socio-demographic dynamics, three distinct causal chains are identified with different war types: (1) central government-initiated military campaigns (primary focus of this study), (2) local rebellions, and (3) external/nomadic invasions. Regression models indicate that garrison reclamation is the most influential predictor, with 1-unit increase corresponding to around 0.8-unit growth in agricultural immigration ( β = 0.8), substantially exceeding the impacts of central government-waged war ( β = 0.16), institutional establishment ( β = 0.52), and agriculturalist immigration ( β = 0.38) when garrison reclamation serves as the dependent variable. These results establish a coherent framework explaining the social dynamics in the Xinjiang region over the past two millennia, and offer an empirically-grounded historical case for the sustainable development in current Xinjiang under climate change as well as valuable supplements and new insights into the simplistic perspective of climatic-environmental determinism.

Authors

Institutions

Publication Details

Journal
Progress in Physical Geography Earth and Environment
Published
2025-05-03
DOI
https://doi.org/10.1177/03091333251337347
Citations
2
Primary Topic
Rangeland Management and Livestock Ecology
Type
article
Field-Weighted Citation Impact
4.84

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Favorable geopolitical conditions rather than climate promoted societal development in historical Xinjiang region, China

S Zhang, Haipeng Wang
2 citations
Progress in Physical Geography Earth and Environment
Rangeland Management and Livestock Ecology
4.84
article

Favorable geopolitical conditions rather than climate promoted societal development in historical Xinjiang region, China

S Zhang, Haipeng Wang
article en
2 citations

Abstract

The contemporary renaissance of the ancient Silk Road through China’s Belt and Road Initiative has brought Xinjiang—a pivotal hub along this historic trade corridor—worldwide attention. This resurgence highlights a critical academic lacuna: despite the profound significance of the past social development in Xinjiang in comprehensively understanding Chinese history, the key factors governing its long-term social evolution remain unclear. Such limitation is probably constrained by fragmented frontier historical records and the lack of comprehensive quantitative analyses integrating socio-natural systems. This study innovatively employs multi-proxy historical records from 200 BCE to 1912 CE, in particular systematically categorized warfare data, using Pearson’s correlation, multivariate regression modeling, and Granger causality analyses at annual resolution. Our findings reveal that the historical social development in the Xinjiang region is fundamentally driven by favorable geopolitical situation rather than pleasant climate, especially during the unified administrations of the Han, Sui-Tang, and Qing dynasties. Specifically, while climatic factors exhibit limited correlation and almost no causation with (geo-)political and socio-demographic dynamics, three distinct causal chains are identified with different war types: (1) central government-initiated military campaigns (primary focus of this study), (2) local rebellions, and (3) external/nomadic invasions. Regression models indicate that garrison reclamation is the most influential predictor, with 1-unit increase corresponding to around 0.8-unit growth in agricultural immigration ( β = 0.8), substantially exceeding the impacts of central government-waged war ( β = 0.16), institutional establishment ( β = 0.52), and agriculturalist immigration ( β = 0.38) when garrison reclamation serves as the dependent variable. These results establish a coherent framework explaining the social dynamics in the Xinjiang region over the past two millennia, and offer an empirically-grounded historical case for the sustainable development in current Xinjiang under climate change as well as valuable supplements and new insights into the simplistic perspective of climatic-environmental determinism.

Progress in Physical Geography Earth and EnvironmentVol. 49(3)
Chinese Academy of Sciences (CN), Guangzhou University (CN), Northwest Institute of Eco-Environment and Resources (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Rangeland Management and Livestock Ecology
4.84
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.