Trade openness and green total factor productivity: testing the role of environment regulation based on dynamic panel threshold model

Huang, Qinghua; Liu, Min

doi:10.1007/s10668-021-01825-y

Cited by 22 publications

(9 citation statements)

References 32 publications

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“…On this basis, they analyzed the relationship between environmental regulation and GTFP in China, and the results showed that there were differences and nonlinearities among cities with different monitoring levels and different economic development levels. Other recent studies can be found in Song et al [17] and Huang and Liu [18].…”

Section: Literature Reviewmentioning

confidence: 87%

“…To empirically test the effect of GVC participation on the green upgrade of China's manufacturing industry, this article established the following econometric model: (18) In the Equation ( 18), the dependent variable GTFP_ML is the GTFP calculated with the aforementioned SEBM model and ML index. It represents green upgrade of the manufacturing industry.…”

Section: Econometric Model Setting and Variable Explanationsmentioning

confidence: 99%

“…In Table 5, columns ( 15) and ( 16), respectively, show the effects of forward and backward linkage-based GVC participation on GTFP_EC. Columns (17) and (18), respectively, show the effects of forward and backward linkage-based GVC participation on GTFP_TC. It can be seen that, whether considering forward or backward GVC participation, the regression coefficients of GTFP_TC are positive and significant at a 5% level, indicating that GVC participation significantly promoted the green upgrade of the manufacturing industry through green technology improvement.…”

Section: Mechanism Analysesmentioning

confidence: 99%

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Can Global Value Chain Participation Drive Green Upgrade in China’s Manufacturing Industry?

Shi

Wang

2022

IJERPH

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Engagement in the global division of labor has greatly influenced China’s economy and environment. With the multi-regional input–output (MRIO) framework, we calculate the global value chain (GVC) participation index of China’s 16 manufacturing sectors. We also measure the green upgrade index of manufacturing sectors based on the super-efficiency epsilon-based measure (SEBM) and the Malmquist–Luenberger (ML) index. In addition, the effect of GVC participation on the green upgrade of manufacturing sectors is empirically tested with a fixed effects regression model for panel data. Results show that: (1) sectors that rank high in the forward linkage-based GVC participation index also tend to rank high in the backward linkage-based GVC participation index; (2) the ML index is greater than 1 in most years, indicating that the green upgrade of China’s manufacturing sectors shows an uptrend; (3) for both forward and backward linkage, the rise of the GVC and complex GVC participation indexes significantly promotes the green upgrade of manufacturing sectors. Finally, GVC participation of China’s manufacturing sectors promotes green upgrade mainly through green technology progress. The conclusions have empirical evidence and policy implications for the advancement to medium- and high-end GVC participation and the green transition of China’s manufacturing sectors.

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Section: Literature Reviewmentioning

confidence: 87%

Section: Econometric Model Setting and Variable Explanationsmentioning

confidence: 99%

Section: Mechanism Analysesmentioning

confidence: 99%

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Can Global Value Chain Participation Drive Green Upgrade in China’s Manufacturing Industry?

Shi

Wang

2022

IJERPH

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“…Second, many studies have investigated the influencing factors of green development, including political, economic, technological, and natural factors. Political factors mainly include government support (Guo and Liu, 2022) and environmental regulations (Zou and Zhang, 2022); economic factors mainly include financial development (Yuan et al, 2019), level of openness (Huang and Liu, 2021), and industrial structure (Xie and Li, 2021); the main technological factor is innovation (Xu et al, 2021a); and natural factors primarily include resource structure (Fong et al, 2022) and energy consumption (Moutinho et al, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Science and Technology Finance Policy on Urban Green Development in China

Gao

Song

Wen

et al. 2022

Front. Environ. Sci.

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Green sustainable development is a major challenge faced by countries worldwide. Against the strategic background of innovation-driven development, studying the impact of science and technology finance policy (STFP) on urban green development is of great practical significance. Based on urban panel data from 2003 to 2019, this study systematically examines whether and how STFP affects urban green development in China using the difference-in-differences (DID) method. The empirical results show that STFP has significantly stimulated the urban green development level, and the effect of policy implementation has increased first and then decreased over time. The findings remain robust when using propensity score matching DID to avoid selection bias and other factors that may interfere with the estimation results. Additionally, technological innovation and green innovation are essential channels for STFP to improve urban green development. The impact of STFP is found to vary by region and by the level of urban innovation. Specifically, the policy effect is more pronounced in midwestern and high-innovation cities but less obvious in eastern and low-innovation cities. In conclusion, this study provides city-level empirical evidence from China for an in-depth understanding of the green economy effect of STFP. It also provides theoretical guidance and policy references for accelerating the green transition in the context of sustainable development.

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“…Alongside the urgency of green transformation in the majority of nations, researchers have highlighted the synergies between economic growth and environmental protection. However, studies combining international trade and green development remain rare, and their findings are inconclusive (Huang & Liu, 2022). For instance, Qi and Xu (2018) and Ding et al (2021) demonstrated that trade openness is essential for enhancing green total factor productivity, whereas Wang et al (2008) and Ge et al (2018) discovered that trade openness jeopardizes GTFP growth.…”

Section: Introductionmentioning

confidence: 99%

Environmental good exports and green total factor productivity: Lessons from China

Liu

Zhang

Huang

et al. 2022

Sustainable Development

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Trade liberalization for environmental goods (EG) could pave the way for a "win-win" scenario for both the economy and the environment. This study examines the impact of environmental good exports on the comprehensive economic development and environmental protection index, green total factor productivity (GTFP), using a Chinese city-level panel dataset from 2003 to 2015. Overall, our findings indicate that EG exports are detrimental to China's green development. Particularly, traditional EGs intended to address environmental concerns significantly impede GTFP, whereas environmentally preferable products with cleaner product life cycles have no such effect. Furthermore, EG exports do not significantly reduce conventional TFP without accounting for energy and pollution, implying that the loss of GTFP is primarily due to environmental factors. When GTFP is disaggregated into green efficiency change (GEC) and green technology change (GTC), EG exports can increase GEC while reducing GTC. However, once the value of EG exports surpasses a certain threshold, EG exports raise GTC and GTFP. Furthermore, regional resource misallocation, environmental regulation, and absorptive capacity can all help to mitigate the negative EG-GTFP relationship. This study could be useful for stakeholders interested in leveraging synergies between the economy and the environment by participating in global EG supply chains.

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Trade openness and green total factor productivity: testing the role of environment regulation based on dynamic panel threshold model

Cited by 22 publications

References 32 publications

Can Global Value Chain Participation Drive Green Upgrade in China’s Manufacturing Industry?

Can Global Value Chain Participation Drive Green Upgrade in China’s Manufacturing Industry?

Effect of Science and Technology Finance Policy on Urban Green Development in China

Environmental good exports and green total factor productivity: Lessons from China

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