Trade openness and air pollution: City-level empirical evidence from China

Lin, Faqin

doi:10.1016/j.chieco.2017.07.001

Cited by 112 publications

(45 citation statements)

References 33 publications

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“…The short-run and long-run estimates demonstrate a positive and significant relationship of GDP per capita with all GHG emissions except with ecological footprint, where it shows a negative and significant association. The positive linkage of GDP per capita with environmental indicators in South Asian countries is consistent with the studies of Ahmed et al [89] and Lin [90]. This relationship is valid in the early phase of development under the scale effect in which environmental quality deteriorates due to the increase of economic activities (transportation, deforestation, and industrial output) and energy consumption.…”

Section: Slope Homogeneity Testsupporting

confidence: 89%

Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

et al. 2021

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Widespread interference of human activities has resulted in major environmental problems, including pollution, global warming, land degradation, and biodiversity loss, directly affecting the sustainability and quality of the environment and ecosystem. The study aims to address the impact of the extraction of natural resources and globalization on the environmental quality in the South Asian countries for the period 1991–2018. A new methodology Dynamic Common Correlated Effects is used to deal with cross-sectional dependence. Most previous studies use only carbon dioxide emissions, which is an inadequate measure of environmental quality. Besides carbon dioxide emissions, we have used other greenhouse gas emissions like nitrous oxide and methane emissions with a new indicator, “ecological footprint”. Long-run estimation results indicate a positive and significant relationship of natural resources with all greenhouse gas emissions and a negative association with the ecological footprint. Globalization shows a negative association with carbon dioxide emissions and nitrous oxide emissions and a positive relationship with the ecological footprint. Institutional performance is negatively correlated with carbon dioxide emissions, methane emissions, and ecological footprint while positively associated with nitrous oxide emissions. The overall findings highlight the pertinence of reducing greenhouse gas emissions and ecological footprint, proper utilizing of natural resources, enhancing globalization, and improving institutional performance to ensure environmental sustainability.

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Section: Slope Homogeneity Testsupporting

confidence: 89%

Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

et al. 2021

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“…Under the framework of the "three effects" analysis, many scholars have performed empirical tests examining the impact of international trade on climate change. The results of the test have two viewpoints; one is that the expansion of trade increases greenhouse gas emissions and exacerbates climate change (Copeland and Taylor [13]; Guo et al [14]; Lin et al [15]; Lin [16]).…”

Section: Literature Reviewmentioning

confidence: 99%

Bootstrap ARDL Test on the Relationship among Trade, FDI, and CO2 Emissions: Based on the Experience of BRICS Countries

Chang

et al. 2020

Sustainability

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We used the Bootstrap Autoregressive Distributed Lagged Model (ARDL) method to test the relationship among BRICS (Brazil, Russia, India, China, and South Africa) countries’ trade, foreign direct investment (FDI), and CO2 emissions. We found that Brazil’s CO2 emissions and FDI have a cointegration relationship with the trade on the lag of one-period. Russia and India and CO2 emissions and trade have a cointegration relationship with FDI on the lag of one-period. In the long-term, Brazil’s FDI has a long-term causal relationship with the trade on the lag of one-period. The trade between Russia and India has a long-term causal relationship with FDI on the lag of one-period. Among other BRICS variables, Russian trade and FDI on the lag of one-period of CO2 emissions and FDI and CO2 emissions are on the lag of one-period on trade, which McNown et al. mentioned is the degeneration case #1 in their paper; while China’s trade and FDI on the lag of one-period of CO2 emissions is the country of degeneration case #2. When we examined short-term causality, we found that CO2 emissions showed a causal relationship with trade, while FDI and CO2 emissions were less pronounced. Trade has a positive causal relationship with FDI. These variables are different in different situations and in different countries. These results should be related to BRICS countries’ FDI, international trade development, and their different CO2 emission policies.

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“…In the process of China’s rapid economic development, resource endowments and factor allocations in different regions have not been balanced [ 7 ]. In order to pursue knowledge spillover, technology sharing, and maximize their own interests, enterprises with low economic benefits actively approach those with high economic benefits, forming industrial agglomerations in specific regions [ 8 ]. Furthermore, with the continuous extension of manufacturing industry chain, producer services run through all links of manufacturing production [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Can Industrial Collaborative Agglomeration Reduce Haze Pollution? City-Level Empirical Evidence from China

Ye²,

2021

IJERPH

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We analyze the mechanism for industrial co-agglomeration in Chinese 283 cities to affect haze pollution from 2003 to 2016 and examine the possible mediating effects of urbanization and energy structure between haze pollution and industrial co-agglomeration, finally obtaining the following results. First, industrial co-agglomeration and haze pollution across China, including central and eastern regions keep a typical inverted U-shaped curve relationship. That is, industrial co-agglomeration first promotes haze pollution and then restrains it. However, the impact of industrial co-agglomeration on haze pollution in western China is still on the left side of the inverted U-shaped curve, reflecting a promotion effect. Second, industrial co-agglomeration has a significant spatial spillover effect on haze pollution. Additionally, industrial co-agglomeration can promote haze pollution in local regions but inhibit it in surrounding regions in both the short and long run. In contrast, when the industrial co-agglomeration index exceeds the inflection point (3.6531), it benefits the reduction of haze pollution in local regions, while not being conducive to it in the neighboring regions. Third, industrial co-agglomeration can affect haze pollution through urbanization and energy structure, that is, urbanization and energy structure play an intermediary role between them.

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Trade openness and air pollution: City-level empirical evidence from China

Cited by 112 publications

References 33 publications

Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

Bootstrap ARDL Test on the Relationship among Trade, FDI, and CO2 Emissions: Based on the Experience of BRICS Countries

Can Industrial Collaborative Agglomeration Reduce Haze Pollution? City-Level Empirical Evidence from China

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