Zhixiang Zhou

ORCID: 0000-0003-1932-5342
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Research Areas
  • Efficiency Analysis Using DEA
  • Energy, Environment, Economic Growth
  • Environmental Impact and Sustainability
  • Economic and Environmental Valuation
  • Environmental Quality and Pollution
  • Evaluation Methods in Various Fields
  • Fiscal Policy and Economic Growth
  • Water resources management and optimization
  • Transportation Planning and Optimization
  • Remote Sensing and Land Use
  • Sports Analytics and Performance
  • Air Quality Monitoring and Forecasting
  • Facility Location and Emergency Management
  • Regional Economic and Spatial Analysis
  • Maritime Ports and Logistics
  • Microfinance and Financial Inclusion
  • Grey System Theory Applications
  • Land Use and Ecosystem Services
  • Global Energy and Sustainability Research
  • Digital Platforms and Economics
  • Green IT and Sustainability
  • Optimization and Mathematical Programming
  • Global Energy Security and Policy
  • Sharing Economy and Platforms
  • Hydrogen Storage and Materials

Hefei University of Technology
2018-2024

Mudanjiang Normal University
2024

Liaoning Shihua University
2023

University of Science and Technology of China
2009-2022

Hohai University
2014

Shanghai Botanical Garden
2007

10.1016/j.trd.2020.102590 article EN Transportation Research Part D Transport and Environment 2020-10-24

A number of studies have used data envelopment analysis (DEA) to evaluate the performance countries in Olympic Games. While fact that numbers three kinds medal must only take integer values is ignored. This study discusses, by means integer-valued DEA model, each country at 2008 Beijing Summer The model article considers two inputs (gross domestic product [GDP] per capita and population) outputs (number gold, silver, bronze medals won); integrality constraints weight restrictions among are...

10.1177/1527002509352619 article EN Journal of Sports Economics 2009-11-11

10.1007/s10479-011-0938-8 article EN Annals of Operations Research 2011-07-29

The phenomena of “large energy consumption, high carbon emission, and serious environmental pollution” are against the goals “low low emissions” in China’s industrial sector. key to solving problem lies improving total factor efficiency (TFEE) emission (TFCE). Considering heterogeneity different sub-industries, this paper proposes a three-stage global meta-frontier slacks-based measure (GMSBM) method for measuring TFEE TFCE, as well technology gap by combining with (SBM) using data...

10.3390/su12041402 article EN Sustainability 2020-02-14

In this paper, an input-oriented data envelopment analysis model with discretionary and non-discretionary variables is proposed for measuring the efficiency of international tourist hotels (ITHs). The considers two outputs (total revenues occupancy percentage), inputs number employees total operating costs) guest rooms food beverage capacity). Variable returns to scale are assumed. Both traditional applied measure 21 ITHs in Taipei during 2003–2007, different measures benchmarks derived help...

10.1080/10941665.2011.588875 article EN Asia Pacific Journal of Tourism Research 2011-07-11

Abstract Environmental regulation has been recognized as an important way to directly improve environmental performance or indirectly impact through increasing innovation. The present paper constructs energy and carbon emission total factor productivity index using the Malmquist–Luenberger data envelopment analysis. proposed technique is used measure of 30 Chinese provinces during period 2010–2015. divided into a pure technical efficiency progress provide detailed information. Then ordinary...

10.1111/exsy.12326 article EN Expert Systems 2018-09-24

Ecological footprint (EF) and human development index (HDI) are two critical indicators for assessing sustainable worldwide. Past studies in Africa have ignored dynamic total-factor ecological efficiency (DSTFEE) assessment. This present study proffers a novel that comprehensively assesses the among 44 sampled African economies from 2010 to 2016. Our incorporates EF HDI model. Second, evaluates regional DSTFEE heterogeneity as well technological gap Africa. Further, projection analysis is...

10.3390/ijerph18179323 article EN International Journal of Environmental Research and Public Health 2021-09-03

The regional innovation system (RIS) plays a key role in the growth of nation's competence. This paper develops tool to measure innovative performance Chinese RIS period 2001-2005. technique data envelopment analysis (DEA) is employed determine multifactor that inherently recognises trade-off among various factors. study offers two-stage transformation process divides into technological subprocess, stage 1 and economic 2. result shows employment DEA-based mode evaluate RISs more advanced...

10.1504/ijssoc.2010.030564 article EN International Journal of Sustainable Society 2009-12-22

Abstract Improving green productivity (GP) is critical for achieving global sustainable development. Yet, past efficiency studies on the African continent have ignored Africa's GP, estimation, and driving factors. Specifically, role of sovereign debt vulnerability, environmental entrepreneurship, institutional quality in ensuring development lacking. Therefore, this study built a meta‐frontier biennial weighted modified data envelopment analysis (DEA) model to evaluate across...

10.1002/sd.2857 article EN Sustainable Development 2023-12-14

In this paper we intend to check the performance of Peer-to-Peer online lending platforms in China. Different from commercial banks, (P2P) platforms’ business process is divided into market-expanding stage and risk-managing stage. stage, are intended help borrowers attain more money, try their best ensure that lenders’ money repaid on time. Thus, with a sample 66 leading big P2P platforms, novel two-stage slacks-based measure data envelopment analysis non-cooperative game, efficiency each as...

10.3390/su10092987 article EN Sustainability 2018-08-22
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