Research on the influence of manufacturing agglomeration modes on regional carbon emission and spatial effect in China

Lan, Fei; Sun, Li Bo; Pu, Wenyan

doi:10.1016/j.econmod.2020.03.016

Cited by 95 publications

(37 citation statements)

References 10 publications

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“…The literature on the emission reduction effect of industrial agglomeration is mostly discussed from the perspective of manufacturing agglomeration. Most scholars believe that manufacturing agglomeration has a dual effect on pollution emission, which may aggravate pollution emission through expanding production scale (Lan et al, 2021) and increasing energy consumption demand (Cheng, Z., 2016) or reduce pollution emissions through technology spillover, the specialized division of labor and economies of scale (Fang et al, 2020). Wang et al (2018b) and Yuan et al (2020) confirm that a significant inverted U-shaped relationship exists between manufacturing agglomeration and environmental pollution.…”

Section: Renmentioning

confidence: 99%

Does Government Intervention Affect CO2 Emission Reduction Effect of Producer Services Agglomeration? Empirical Analysis Based on Spatial Dubin Model and Dynamic Threshold Model

Yan

Yang

Nie

et al. 2022

Preprint

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Achieving carbon peak and carbon neutrality is an inherent requirement for countries to promote green recovery and transformation of the global economy after the COVID-19 pandemic. As "a smoke-free industry", its agglomeration may have significant impacts on CO2 emission reduction. This study uses nightlight data to calculate the CO2 emissions of 268 cities in China from 2005 to 2017 and then employs dynamic spatial Dubin model and intermediary effect model to explore the impact and transmission mechanism of producer services agglomeration (PSA) on CO2 emissions. Furthermore, the dynamic threshold model is used to analyze the nonlinear characteristics of PSA on CO2 emissions under different degrees of government intervention. The findings indicate that: (1) Generally, China's CO2 emissions are path-dependent in the time dimension, showing a "snowball effect". PSA not only significantly inhibits local CO2 emissions, but also reduces CO2 emissions in adjacent areas through spatial spillover effect; (2) PSA can indirectly curb CO2 emissions through economies of scale, technological innovation and industrial structure upgrading, Heterogeneity analysis shows that there are significant differences in the impact of PSA on CO2 emissions in different regions, time nodes and sub-industries; (3) The impact of PSA on China's CO2 emissions has an obvious double threshold effect under different degree of government intervention. Accordingly, the Chinese government should increase the support for producer services, dynamically adjust industrial policies, take a moderate intervention, and strengthen market-oriented reform to reduce CO2 emissions so that the goal of "carbon peak and carbon neutrality” can be early achieved.

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Section: Renmentioning

confidence: 99%

Does Government Intervention Affect CO2 Emission Reduction Effect of Producer Services Agglomeration? Empirical Analysis Based on Spatial Dubin Model and Dynamic Threshold Model

Yan

Yang

Nie

et al. 2022

Preprint

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“…In the initial stage of agglomeration, the economy is in a period of rapid expansion. Although the rapid concentration of the economic activities brings a certain increase in economic output, the rapid agglomeration of the economy focusing on heavy industry also intensives energy consumption and pollutant emission (Lan et al, 2021). In addition, when the economic production activities are mainly composed of homogeneous low level repeated construction, will be difficult to generate significant economies of scale, knowledge spillover, and synergies (Wang & Wang, 2019), gathering activities to bring the output expansion of discharge effect is greater than the economies of scale and the inhibition effect of the Shared facilities on emissions, resulting in green TFP.…”

Section: Industry Heterogeneity Testmentioning

confidence: 99%

“…Although the economic agglomeration in the western region also produces an obvious spatial spillover effect, the direction of its effect is opposite to that of the central region, which is firstly inhibited and then promoted. A possible reason is that in the western region city more development of manufacturing industry as a pillar, or more for the second industry agglomeration, gathering early "instead of" the layout of the problems such as easily lead to blind investment and repeated construction (Lan, Sun & Pu, 2021), makes the area within the scope of social resources waste, energy, and environment problems, It affects the construction of green industrial chain and supply chain in different cities. At the same time, the manufacturing structure of cities in western China is relatively single, and the tertiary industry agglomeration serving the leading industrial development is more conducive to the technology spillover and scale economy effect, which is conducive to the region and surrounding areas to form a collaborative linkage mechanism for green TFP development.…”

Section: Regional Heterogeneity Testmentioning

confidence: 99%

“…It harms the healthy and sustainable development of urban agglomeration and greatly limits the international competitiveness of the city. Taking Chinese cities as research samples, some scholars have listed empirical evidence of environmental decline caused by the concentration of economic activities (Sun & Yuan, 2015;Liu et al, 2017;Wang et al, 2020;Lan et al, 2021). In particular, Cheng (2016) incorporated the spatial effect into the model species and concluded that the agglomeration would aggravate local and adjacent environmental deterioration.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Going Green or Going away? A Spatial Empirical Examination of the Relationship Between Agglomeration and Green Total-Factor Productivity in the Context of the Carbon Emissions Peak

Tan¹,

Ren²,

Hao³

et al. 2021

Preprint

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In the context of carbon emissions peak, environmental issues highlight the importance of the green economy, how does economic agglomeration release growth potential and enable the coordinated development of the economy and environment? There are few works of literature to analyze it within the framework of spatial economy. This paper constructs a theoretical model to clarify the influence mechanism of economic agglomeration on green total factor productivity (GTFP), and then uses a dynamic SDM model to test the theoretical hypothesis. This contribution has three main findings. First, there is a "U-shaped" curve relationship between economic agglomeration and GTFP, and the formation mechanism is that economic agglomeration has a threshold effect on the agglomeration externalities such as infrastructure sharing, knowledge spillover, and labor market upgrading. Second, the mismatch of industrial structure is an important reason that the economic agglomeration in this region has not produced an obvious spatial spillover effect on other regions; Relaxing restrictions on the concentration of economic activity to regional centers would contribute to the improvement of GTFP. Third, GTFP has the classic "snowball effect" in the time dimension, but has the obvious "warning effect" in the space and time dimension. Based on this, this paper believes that at the present stage, it is necessary to adapt to the layout of economic geography, promote the rational allocation of human resources in the territorial space, promote the coordination between economic agglomeration and the development goal of green economy, and at the same time, it is necessary to cultivate the cooperative linkage mechanism of green economy development and transformation among cities.

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“…However, market competition mechanisms have failed to remove the influence of the government [51]; marketization transformation is far from complete, and decentralization has created chances for local governments to intervene in the economic activities of enterprises [52,53]. Moreover, in order to encourage enterprise transfer, local governments might accelerate industrial upgrading and adjustment by issuing a series of policies, including the construction of industrial parks, tax and credit policies [15], cheap industrial land, or stricter environmental regulations and policies [54]. Meanwhile, they could attract enterprises by improving the urban environment.…”

Section: Location Theory and Location Factorsmentioning

confidence: 99%

Spatial Agglomeration of Manufacturing in the Wuhan Metropolitan Area: An Analysis of Sectoral Patterns and Determinants

et al. 2020

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The important role of the entity economy, especially manufacturing, has been further highlighted after the outbreak of COVID-19. This study fills a research gap on manufacturing in the Wuhan Metropolitan Area by analyzing the spatio-temporal evolution patterns and characteristics of manufacturing, exploring the major location factors causing spatial reconstruction and comparing the effect intensities of the different factors in the manufacturing sector. From 2003 to 2018, the process of industrial suburbanization in the Wuhan Metropolitan Area continued to strengthen and currently the overall spatial pattern of manufacturing in the Wuhan Metropolitan Area is characterized by spreading in metropolitan areas and aggregation in industrial parks. The results of a spatial metering model showed that the dominant factors affecting the layout of manufacturing included innovation and technical service platforms, industrial parks, the number of large enterprises, living convenience, and air quality. However, the effect intensity of the different location factors varied among industries. The findings may help the government to understand the characteristics of agglomeration and spreading in the manufacturing industry and, in accordance with the dominant factors affecting the location of this industry, rationally develop ideas for adjusting the industrial layout in the post-coronavirus age.

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Research on the influence of manufacturing agglomeration modes on regional carbon emission and spatial effect in China

Cited by 95 publications

References 10 publications

Does Government Intervention Affect CO2 Emission Reduction Effect of Producer Services Agglomeration? Empirical Analysis Based on Spatial Dubin Model and Dynamic Threshold Model

Does Government Intervention Affect CO2 Emission Reduction Effect of Producer Services Agglomeration? Empirical Analysis Based on Spatial Dubin Model and Dynamic Threshold Model

Going Green or Going away? A Spatial Empirical Examination of the Relationship Between Agglomeration and Green Total-Factor Productivity in the Context of the Carbon Emissions Peak

Spatial Agglomeration of Manufacturing in the Wuhan Metropolitan Area: An Analysis of Sectoral Patterns and Determinants

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