Impact of environmental regulations on industrial structure upgrading: An empirical study on Beijing-Tianjin-Hebei region in China

Zhang, Guoxing; Zhang, Peide; Zhang, Zhe George; Li, Jiexun

doi:10.1016/j.jclepro.2019.117848

Cited by 133 publications

(59 citation statements)

References 22 publications

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“…[21] provide empirical evidence based on the PSM-DID method to show that the implementation of low-carbon pilot policies has significantly promoted the upgrading of industrial structure. Zhang et al [8] indicate that, in the long term, strict environmental regulations increase the proportion of the tertiary industry and promote the upgrading of the industrial structure. However, Zhao and Sun [22] believe that environmental regulations are not conducive to the sustainable development of the industry since severe environmental regulations may increase the production costs of companies and reduce their production activity [23,24].…”

Section: Low-carbon Policy and Gtfpmentioning

confidence: 99%

“…In this paper, we decompose the effect of industrial structure into two parts-industrial structure upgrading effect and industrial structure transformation effect-and use industrial structure optimization (SO) and industrial structure rationalization (SR) to measure these two indexes [7]. Because environmental regulations significantly facilitate local industrial structure upgrading [8] and industrial development is one of the key drivers of economic growth. So, we believe that the industrial structure is an important mediating variable between low-carbon policy and GTFP.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Industrial Structure, R&D Staff, and Green Total Factor Productivity of China: Evidence from the Low‐Carbon Pilot Cities

et al. 2021

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Using data of 26 cities in China from 2004 to 2017, the green total factor productivity is investigated by the SMM-GML method. The corresponding empirical analysis is conducted with the DID model. This paper investigates the relation between low-carbon pilot policy (LCC) and green total factor productivity and discusses the mediating effect of industrial structure and the number of R&D staff (RDS). First, we find that LCC has a significant effect on pilot cities’ GTFP. And, it also promotes GTFP via industrial structure. Second, LCC can improve industrial structure optimization and realization, and industrial structure realization affects GTFP significantly, while optimization cannot. Third, LCC cannot attract more RDS, and RDS harms local GDFP because of talent misallocation. At last, the rate of GTFP presented different upward trends in the order of non-eastern cities and eastern cities. The effect of LCC on GTFP is significant in non-eastern cities, but not eastern ones, which clearly demonstrates the imbalanced development of the green economy. Therefore, the governments of eastern and non-eastern regions should adopt different measures based on local conditions in industrial structure transformation and recruitment and strengthen environmental regulations to make the effect of the low-carbon policy lasting and promote GTFP growth balance in all regions.

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Section: Low-carbon Policy and Gtfpmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Industrial Structure, R&D Staff, and Green Total Factor Productivity of China: Evidence from the Low‐Carbon Pilot Cities

et al. 2021

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“…Optimists argue that environmental regulation can be an effective stimulus for economic growth [17]. Zhang et al [18] analyzed policy texts in the Beijing-Tianjin-Hebei region of China from 2003 to 2014, and found that environmental regulation has a long-term promoting effect on the upgrading of the industrial structure. Wang and Shao [19] studied formal and informal environmental regulations from G20 countries and found that environmental regulations are very important for promoting green growth.…”

Section: Effects Of Environmental Regulationmentioning

confidence: 99%

Can the Introduction of an Environmental Target Assessment Policy Improve the TFP of Textile Enterprises? A Quasi-Natural Experiment Based on the Huai River Basin in China

Ding

Yang

2020

Sustainability

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Green development is an inevitable requirement to build a modern economic system and fundamental solution to pollution problems. Exploring the relationship between environmental regulation and enterprise total factor productivity (TFP) has great significance for realizing the win-win goal of achieving both environmental protection and economic development. Based on a firm-level dataset from 2000-2007, this paper explores the economic effects of the Environmental Target Assessment Policy of Huai River Basin (ETAP, HRB) in 2004, an environmental regulation that clarifies the responsibility of local governments, by identifying changes in the TFP of the clothing industry (CMI). The empirical findings support that the ETAP can significantly promote improvement in the TFP using the difference in differences (DID) method. Robustness tests, such as the triple differences (DDD) and propensity score matching-difference in differences (PSM-DID), are used to address concerns about the DID approach. Analysis of dynamic effects shows that the ETAP has no impact on enterprise TFP in 2004 but significantly improve the TFP on the next three years (2005-2007). The heterogeneity test results indicate that nonstate-owned enterprises are more sensitive to the ETAP, and the coefficient of the average treatment effect is 0.033. In addition, the ETAP has no noteworthy impact on large- and medium-scale enterprises but results in an average increase of 0.037 in small-scale enterprises’ TFP.

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“…Some scholars have pointed out that environmental regulations are not only a crucial factor that affects the comparative advantage of a country's trade [3,4], but also a means by which the government can solve the "market failure" of environmental problems [5]. Increasing the intensity of environmental regulations can enforce a meticulous filter of industrial groups, thereby promoting adjustment of the industrial structure [6,7], which is conducive to industrial transformation and upgrading. However, because of the dual characteristics (the economic structure of modern industry and backward traditional agriculture) of the China's economic development, environmental regulation policies cannot adopt a one-size-fits-all model.…”

Section: Introductionmentioning

confidence: 99%

Environmental Regulation, Trade Comparative Advantage, and the Manufacturing Industry’s Green Transformation and Upgrading

Gong

You

Wang

et al. 2020

IJERPH

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This paper is the first to systematically review the theoretical mechanisms of environmental regulation and trade comparative advantage that affect the green transformation and upgrading of the manufacturing industry. On this basis, corresponding hypotheses are put forward. The non-radial and non-angle SBM (slacks-based measure) efficiency measurement model with undesirable outputs was used, combined with the use of the ML (green total factor productivity index) productivity index to measure green total factor productivity. Finally, the theoretical hypothesis was empirically tested using data from 27 manufacturing industries in China from 2005 to 2017. The results show the following: (1) There is a significant inverted U-shaped curve relationship between environmental regulation and the transformation of the manufacturing industry. In other words, as environmental regulation increases, its impact on the transformation and upgrading of the manufacturing industry is first promoted and then suppressed. (2) When there are no environmental regulations, the trade comparative advantage of the manufacturing industry is not conducive to industrial transformation. However, under the constraints of environmental regulations, the comparative advantage of trade will significantly promote the green transformation and upgrading of manufacturing. Therefore, in order to effectively promote transformation and upgrading of the manufacturing, this paper proposes the following policy recommendations: (1) The Chinese government should pay more attention to the impact of environmental regulation intensity on the transformation of manufacturing industries, further increase the intensity of environmental regulation within the reasonable range, and fully exert the positive effects of environmental regulation on the trade patterns and manufacturing industry transformation. (2) We should further optimize the structure of trade, realize the diversification of manufacturing import and export, and promote its transformation into high-end manufacturing. On this basis, green production technology in the manufacturing industry can be improved through the technology spillover effect. (3) Efforts should be made to improve the level of collaborative development between environmental regulation and trade patterns and to explore the transformation path of the manufacturing industry with the integration of environmental regulation and trade patterns.

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Impact of environmental regulations on industrial structure upgrading: An empirical study on Beijing-Tianjin-Hebei region in China

Cited by 133 publications

References 22 publications

Industrial Structure, R&D Staff, and Green Total Factor Productivity of China: Evidence from the Low‐Carbon Pilot Cities

Industrial Structure, R&D Staff, and Green Total Factor Productivity of China: Evidence from the Low‐Carbon Pilot Cities

Can the Introduction of an Environmental Target Assessment Policy Improve the TFP of Textile Enterprises? A Quasi-Natural Experiment Based on the Huai River Basin in China

Environmental Regulation, Trade Comparative Advantage, and the Manufacturing Industry’s Green Transformation and Upgrading

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