"SCI经济学原文：工业共聚集，绿色技术创新与全要素能源效率"

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The research article titled "Industrial co-agglomeration, green technological innovation, and total factor energy efficiency" published in a Springer journal explores the relationship between industrial co-agglomeration, green technological innovation, and total factor energy efficiency. The study emphasizes the importance of the double-wheel driven of manufacturing and producer services industrial co-agglomeration in promoting sustainable development. The authors, Haochang Yang, Xiezu Xu, and Faming Zhang, conducted the research and found that industrial co-agglomeration plays a crucial role in fostering green technological innovation and improving total factor energy efficiency. Through their analysis, they highlight the positive impact of industrial clustering on promoting collaboration and knowledge sharing among firms, leading to the development and adoption of green technologies. The study provides valuable insights into the mechanisms through which industrial co-agglomeration can contribute to sustainable development goals. By creating a conducive environment for innovation and resource sharing, industrial clusters can drive technological advancements and enhance energy efficiency in production processes. Overall, the research article underscores the importance of industrial co-agglomeration in driving green technological innovation and improving total factor energy efficiency. The findings have implications for policymakers, businesses, and researchers working towards a more sustainable and environmentally friendly economy.

1 3

representative views: The ﬁrst view holds that industrial

agglomeration is conducive to improving energy effi-

ciency. Liu etal. (2017) found that industrial agglomera-

tion can eﬀectively promote the improvement of energy

eﬃciency through the empirical analysis based on 285

cities panel data from 2004 to 2013. The research results

of Wang etal. (2020b) showed that industrial agglomera-

tion can signiﬁcantly promote the improvement of trans-

portation infrastructure on energy eﬃciency. The second

view holds that industrial agglomeration does not always

have a positive impact on energy eﬃciency, and may even

have a certain negative impact. Peng etal. (2015) found

that industrial agglomeration has no signiﬁcant impact

on energy eﬃciency through quantitative analysis of the

inﬂuencing factors of energy eﬃciency of China’s chemi-

cal ﬁber industry. Han etal. (2018) found that industrial

specialization and diversiﬁed agglomeration can signiﬁ-

cantly reduce the energy eﬃciency of surrounding cities.

The third view holds that there is a nonlinear relationship

between industrial agglomeration and energy eﬃciency.

Shi and Shen (2013) showed that enterprise agglomera-

tion led by market mechanism can signiﬁcantly improve

energy eﬃciency, but due to the “free rider” tendency of

government intervention and environmental governance,

industrial agglomeration and energy eﬃciency show a

U-shaped change. The results of Zheng and Lin (2018)

showed that there is a threshold eﬀect on the impact of

industrial agglomeration on energy eﬃciency. Only when

the industrial agglomeration degree reaches a certain level

(the location quotient is greater than 0.5447), the indus-

trial agglomeration can have a positive impact on energy

eﬃciency (the agglomeration degree is increased by 1%,

and the dynamic energy eﬃciency is increased by at least

0.23%). Zhao and Lin (2019) also found that there is a

threshold eﬀect on the impact of industrial agglomeration

on total factor energy eﬃciency.

In summary, the existing studies have made some

achievements, but there are still spaces for further study: (1)

Most of the existing studies focus on analyzing the impact

of single industrial agglomeration on energy eﬃciency, such

as manufacturing agglomeration or service agglomeration.

However, in reality, industrial activities are more manifested

in the phenomenon of co-agglomeration among diﬀerent

industries. Therefore, it is necessary to explore energy eﬃ-

ciency from the perspective of industrial co-agglomeration.

Moreover, most of the existing literature studies the impact

on the energy eﬃciency in the local region, but it is less to

further introduce the geographical distance weight matrix

and use the spatial econometric analysis method to explore

the spatial spillover eﬀect of industrial co-agglomeration

on energy eﬃciency in the surrounding regions. (2) There

is no consensus on the inﬂuence mechanism and eﬀect of

industrial co-agglomeration on energy eﬃciency, and the

existing studies mainly focus on the analysis of the impact of

industrial co-agglomeration on energy eﬃciency in a given

period; however, it ignores the inter-temporal energy techni-

cal change and the inter-temporal energy technology bound-

ary movement, which is to say that there is a lack of in-depth

research on the impact of industrial co-agglomeration on

total factor energy eﬃciency. (3) The existing research is

relatively lacking analysis on the possible diﬀerences of the

impact of industrial co-agglomeration on energy eﬃciency

between diﬀerent regions, namely that, there is a lack of

in-depth study on the possible regional heterogeneity of the

impact of industrial co-agglomeration on energy eﬃciency.

What’s more important, green technological innovation is

an important driving force for promoting the improvement

of energy eﬃciency, improving economic quality and eﬃ-

ciency, and green transformation and upgrading. However,

the existing literature lacks a further discussion on whether

industrial co-agglomeration will have a mediating eﬀect

through green technological innovation, which indirectly

aﬀects energy eﬃciency.

In view of these deﬁciencies, the contribution of this

paper is mainly reﬂected in the following three aspects: (1)

Diﬀerent from the measurement model of single industrial

agglomeration degree, the location entropy method is used

to measure the agglomeration degree of manufacturing

(

Maagg

) and producer services (

Seragg

) respectively, and

then a measurement model of producer services and manu-

facturing industrial co-agglomeration is constructed based

on the diﬀerence of agglomeration indicators. Moreover, the

spatial weight matrix is further introduced to construct the

spatial panel econometric model of the impact of industrial

co-agglomeration on energy eﬃciency, so as to investigate

the spatial spillover eﬀect of industrial co-agglomeration on

energy eﬃciency in the surrounding regions. (2) Diﬀerent

from the traditional simple empirical analysis, this paper

ﬁrst takes industrial co-agglomeration as the main variable

into the analysis framework of aﬀecting energy eﬃciency

and deeply analyzes the internal mechanism of the impact

of industrial co-agglomeration on energy eﬃciency. On this

basis, a more reasonable econometric model of the impact

of industrial co-agglomeration on energy eﬃciency is con-

structed. Moreover, based on the framework of “total-fac-

tor,” the undesired output caused by energy use is included

into the measurement model of energy eﬃciency, so as to

solve the problem of “environmental pollution endogenous.”

At the same time, based on the perspective of “dynamic

productivity,” the Malmquist-Luenberger index model con-

sidering undesired output with non-radial and non-angle is

further used to measure total factor energy eﬃciency, so

as to comprehensively analyze the deep-seated reasons of

the impact of industrial co-agglomeration on energy eﬃ-

ciency. (3) Diﬀerent from the existing studies that have less

explored the impact of industrial co-agglomeration on total

62478 Environmental Science and Pollution Research (2022) 29:62475–62494

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