The impact of foreign direct investment on SO2 emissions in the Beijing-Tianjin-Hebei region: A spatial econometric analysis

Lin Zhu; Qingmei Gan; Yan Liu; Zhijun Yan

doi:10.1016/j.jclepro.2017.08.032

The impact of foreign direct investment on SO₂ emissions in the Beijing-Tianjin-Hebei region: A spatial econometric analysis

Lin Zhu, Qingmei Gan, Yan Liu, Zhijun Yan^*

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

80 Citations (Scopus)

Abstract

This paper examines the spatial impacts of foreign direct investment (FDI) on sulfur dioxide (SO₂) emissions in the Beijing-Tianjin-Hebei region located in northern China. To avoid making coefficient estimation errors, we use spatial panel data on 10 cities in the Beijing-Tianjin-Hebei region for 2000 to 2013. We first analyze the effects of FDI on air pollution levels in the Beijing-Tianjin-Hebei region from ordinary least squares (OLS). Then, the existence of a spatial correlation is examined via a Lagrange Multiplier (LM) test, and the Spatial Durbin Model (SDM) is adopted to investigate the influence of FDI on SO₂ emissions in this region. The results show that FDI has a significantly positive impact on SO₂ emissions, suggesting that an increase in FDI inflows would increase air pollution levels in the Beijing-Tianjin-Hebei region. Furthermore, the air quality of local cities is also influenced by FDI inflows in surrounding areas.

Original language	English
Pages (from-to)	189-196
Number of pages	8
Journal	Journal of Cleaner Production
Volume	166
DOIs	https://doi.org/10.1016/j.jclepro.2017.08.032
Publication status	Published - 10 Nov 2017

Keywords

Beijing-Tianjin-Hebei region
Foreign direct investment
Spatial econometric analysis
Sulfur dioxide emissions

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jclepro.2017.08.032

Cite this

Zhu, L., Gan, Q., Liu, Y., & Yan, Z. (2017). The impact of foreign direct investment on SO₂ emissions in the Beijing-Tianjin-Hebei region: A spatial econometric analysis. Journal of Cleaner Production, 166, 189-196. https://doi.org/10.1016/j.jclepro.2017.08.032

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title = "The impact of foreign direct investment on SO2 emissions in the Beijing-Tianjin-Hebei region: A spatial econometric analysis",

abstract = "This paper examines the spatial impacts of foreign direct investment (FDI) on sulfur dioxide (SO2) emissions in the Beijing-Tianjin-Hebei region located in northern China. To avoid making coefficient estimation errors, we use spatial panel data on 10 cities in the Beijing-Tianjin-Hebei region for 2000 to 2013. We first analyze the effects of FDI on air pollution levels in the Beijing-Tianjin-Hebei region from ordinary least squares (OLS). Then, the existence of a spatial correlation is examined via a Lagrange Multiplier (LM) test, and the Spatial Durbin Model (SDM) is adopted to investigate the influence of FDI on SO2 emissions in this region. The results show that FDI has a significantly positive impact on SO2 emissions, suggesting that an increase in FDI inflows would increase air pollution levels in the Beijing-Tianjin-Hebei region. Furthermore, the air quality of local cities is also influenced by FDI inflows in surrounding areas.",

keywords = "Beijing-Tianjin-Hebei region, Foreign direct investment, Spatial econometric analysis, Sulfur dioxide emissions",

author = "Lin Zhu and Qingmei Gan and Yan Liu and Zhijun Yan",

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year = "2017",

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N2 - This paper examines the spatial impacts of foreign direct investment (FDI) on sulfur dioxide (SO2) emissions in the Beijing-Tianjin-Hebei region located in northern China. To avoid making coefficient estimation errors, we use spatial panel data on 10 cities in the Beijing-Tianjin-Hebei region for 2000 to 2013. We first analyze the effects of FDI on air pollution levels in the Beijing-Tianjin-Hebei region from ordinary least squares (OLS). Then, the existence of a spatial correlation is examined via a Lagrange Multiplier (LM) test, and the Spatial Durbin Model (SDM) is adopted to investigate the influence of FDI on SO2 emissions in this region. The results show that FDI has a significantly positive impact on SO2 emissions, suggesting that an increase in FDI inflows would increase air pollution levels in the Beijing-Tianjin-Hebei region. Furthermore, the air quality of local cities is also influenced by FDI inflows in surrounding areas.

AB - This paper examines the spatial impacts of foreign direct investment (FDI) on sulfur dioxide (SO2) emissions in the Beijing-Tianjin-Hebei region located in northern China. To avoid making coefficient estimation errors, we use spatial panel data on 10 cities in the Beijing-Tianjin-Hebei region for 2000 to 2013. We first analyze the effects of FDI on air pollution levels in the Beijing-Tianjin-Hebei region from ordinary least squares (OLS). Then, the existence of a spatial correlation is examined via a Lagrange Multiplier (LM) test, and the Spatial Durbin Model (SDM) is adopted to investigate the influence of FDI on SO2 emissions in this region. The results show that FDI has a significantly positive impact on SO2 emissions, suggesting that an increase in FDI inflows would increase air pollution levels in the Beijing-Tianjin-Hebei region. Furthermore, the air quality of local cities is also influenced by FDI inflows in surrounding areas.

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