Literature DB >> 31673967

Impact of market misallocations on green TFP: evidence from countries along the Belt and Road.

Qing Zhang1, Fenghao Yan2, Ke Li2, Hongshan Ai3.   

Abstract

Based on the idea of a "Community of Human Destiny," the Chinese government proposed the "Belt and Road" initiative, and clearly proposed to promote green development and strengthen ecological environmental protection. However, a considerable number of countries are resource-rich economies with serious market misallocations. Using the stochastic frontier analysis (SFA) combined with the directional distance function (DDF) framework, this paper measures the green total factor productivity (GTFP) and its items (i.e., technical change and efficiency change) of 33 countries along the Belt and Road in 1995-2012, and then the impact of market misallocations on GTFP is analyzed. The following conclusions are drawn: (1) The main driving force for GTFP promotion in Asian countries came from technical change, while in European countries, it came from efficiency change. (2) Market misallocations had significantly hindered the GTFP of these economies. Countries with greater market misallocations have smaller GTFP. (3) Results based on counterfactual measures showed that GTFP could be increased by up to 4.04% and the average can be increased by 1.24% after eliminating market misallocations.

Entities:  

Keywords:  Green TFP; Market misallocation; Stochastic frontier analysis; The Belt and Road

Mesh:

Year:  2019        PMID: 31673967     DOI: 10.1007/s11356-019-06601-0

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

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Authors:  Xiaoling Wang; Qinglong Shao
Journal:  Sci Total Environ       Date:  2019-01-11       Impact factor: 7.963

2.  Vulnerability and impact assessment of extreme climatic event: A case study of southern Punjab, Pakistan.

Authors:  Abdul Qayyum Aslam; Sajid R Ahmad; Iftikhar Ahmad; Yawar Hussain; Muhammad Sameem Hussain
Journal:  Sci Total Environ       Date:  2016-12-28       Impact factor: 7.963

  2 in total
  1 in total

1.  Research on the Impact of Government Environmental Information Disclosure on Green Total Factor Productivity: Empirical Experience from Chinese Province.

Authors:  Liang Zhao; Liangyu Chen
Journal:  Int J Environ Res Public Health       Date:  2022-01-10       Impact factor: 3.390

  1 in total

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