Hanjie Wang

Biographic Data

ID4069302
NAMEHanjie Wang
GIVEN NAMESHanjie
FAMILY NAMEWang
SIGNATUREWANG H
AFFILIATIONSSouthwest University
ORCID0000-0001-9400-814X
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS26
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX2

  • Blessing or Curse? The Welfare Consequences of Cash Gift Expenditure for the Poor

    Open AccessHanjie Wang, Xiaolong Tian et al.ARTICLEJournal of Happiness Studies2026

  • Machine learning in cropland dynamics: Evidence from China

    Open AccessHanjie Wang, Wenpeng Huang et al.ARTICLELand Use Policy2026Cited by: 1References: 48

    The scientific identification of cropland dynamics patterns is essential for developing effective protection policies. Utilizing satellite remote sensing data, this study applies DTW (Dynamic Time Warping) K-means algorithms to classify cropland dynamics in China, providing a solid foundation for targeted policy design. The findings reveal four distinct patterns: growth, fluctuation, late-stage shrinkage, and early-stage shrinkage. An ensemble le…

  • From opportunity to inequality: How the rural digital economy shapes intra-rural income distribution

    Open AccessHanjie Wang, Hao Leng et al.ARTICLEHumanities and Social Sciences…2025

    This paper examines the effect of rural digital economy development on intra-rural income inequality. Utilizing comprehensive rural survey dataset in China, the empirical findings suggest that rural digital economy has not led to inclusive growth, but instead has significantly exacerbated intra-rural income inequality. The mechanism analysis indicates that rural digital economy is more conducive to the non-agricultural employment, entrepreneurshi…

  • Digital capability and rural household development resilience: A double machine learning approach

    Open AccessHanjie Wang, Hao Leng et al.ARTICLEJournal of Rural Studies2025Cited by: 1References: 2

  • Who performs better? The heterogeneity of grain production eco-efficiency: Evidence from unsupervised machine learning

    Open AccessHanjie Wang, Wang Hanjie et al.ARTICLEEnvironmental Impact Assessment…2024Cited by: 2References: 50

    This study contributes to the existing literature by providing evidence for the microheterogeneity of agricultural eco-efficiency with machine learning techniques. Using the comprehensive dataset from the “China Rural Revitalization Survey” (CRRS), we employ unsupervised machine learning via the K-means clustering algorithm to dissect the heterogeneity of grain production eco-efficiency from the perspective of farmers. Our findings reveal the cla…

  • Poverty and Subjective Poverty in Rural China

    Open AccessHanjie Wang, Qiran Zhao et al.ARTICLESocial Indicators Research2020Cited by: 22References: 29

    China is undergoing a campaign which is called 'The Targeted Poverty Alleviation Policy' to eradicate extreme poverty from rural China until 2020. Though poverty in rural China has been studied intensively in different objective dimensions, little attention has been paid to poverty line settings and subjective poverty, which are hinged to the policy effects. In order to fill in the research gap, this study employs a nationally representative surv…