Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Tianyuan Shao

Biographic Data

ID7863335
NAMETianyuan Shao
GIVEN NAMESTianyuan
FAMILY NAMEShao
SIGNATURESHAO T
AFFILIATIONSNingbo University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Effects of planting quinoa on soil properties and microbiome in saline soil

    Open Access•Huiying Hu, Tianyuan Shao et al.•ARTICLE•Land Degradation and Development•2022

    Quinoa is widely cultivated for its nutritional value and its high tolerance to environmental problems. Our study was conducted at two planting densities (LD, 10 plants/m 2 ; HD, 65 plants/m 2 ) on ameliorated coastal mudflats in Jiangsu Province, China. The microbial composition in soil was determined by high‐throughput sequencing technology, and root metabolites were determined by a liquid chromatograph‐mass spectrometer (LC–MS). The results sh…

  • Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China

    Open Access•Yongyi Cheng, Tianyuan Shao et al.•ARTICLE•International Journal of…•2019

    Urban agglomerations are not only the core areas leading economic growth but also the fronts facing severe resource and environmental challenges. This paper aimed to increase our understanding of urban eco-efficiency and its influencing factors and thus provide the scientific basis for green development. We developed a model that incorporates super-efficiency, slacks-based-measure, and global-frontier technology to calculate the total-factor eco-…

  • Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach

    Open Access•Yongyi Cheng, Liheng Lu et al.•ARTICLE•International Journal of…•2018

    This paper investigated the factors driving the changes in industrial wastewater emission intensity (IWEI) across provinces in China. To do this, we proposed a Super-efficiency Slacks-based Measure-Global Malmquist Index (SSBM-GMI) to decompose the change in IWEI into the effects from efficiency change (ECE), technological change (TCE), capital−wastewater substitution (KWE) and labor−wastewater substitution (LWE). The method was applied to conduc…

No prominent works on this page.

  • Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach

    Open Access•Yongyi Cheng, Liheng Lu et al.•ARTICLE•International Journal of…•2018

    This paper investigated the factors driving the changes in industrial wastewater emission intensity (IWEI) across provinces in China. To do this, we proposed a Super-efficiency Slacks-based Measure-Global Malmquist Index (SSBM-GMI) to decompose the change in IWEI into the effects from efficiency change (ECE), technological change (TCE), capital−wastewater substitution (KWE) and labor−wastewater substitution (LWE). The method was applied to conduc…

  • Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China

    Open Access•Yongyi Cheng, Tianyuan Shao et al.•ARTICLE•International Journal of…•2019

    Urban agglomerations are not only the core areas leading economic growth but also the fronts facing severe resource and environmental challenges. This paper aimed to increase our understanding of urban eco-efficiency and its influencing factors and thus provide the scientific basis for green development. We developed a model that incorporates super-efficiency, slacks-based-measure, and global-frontier technology to calculate the total-factor eco-…

  • Effects of planting quinoa on soil properties and microbiome in saline soil

    Open Access•Huiying Hu, Tianyuan Shao et al.•ARTICLE•Land Degradation and Development•2022

    Quinoa is widely cultivated for its nutritional value and its high tolerance to environmental problems. Our study was conducted at two planting densities (LD, 10 plants/m 2 ; HD, 65 plants/m 2 ) on ameliorated coastal mudflats in Jiangsu Province, China. The microbial composition in soil was determined by high‐throughput sequencing technology, and root metabolites were determined by a liquid chromatograph‐mass spectrometer (LC–MS). The results sh…

China (2 works) · Economic growth (2 works) · Economics (2 works) · Efficiency Analysis Using DEA (2 works) · Energy, Environment, Economic Growth (2 works) · Environmental Impact and Sustainability (2 works) · Environmental Science (2 works) · Geography (2 works) · Acidobacteria (1 works) · Agriculture Sustainability and Environmental Impact (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae