TY - JOUR
T1 - Can Industrial Digitalization Promote Regional Green Technology Innovation?
AU - Hao, Xiaoli
AU - Liang, Yi
AU - Yang, Cunyi
AU - Wu, Haitao
AU - Hao, Yu
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Regional green technology innovation (RGTI) carries ecological and technological externalities, serving as a crucial force in aligning economic development with the imperative of environmental preservation. Industrial digitalization (indig) exhibits innovative, quality-enhancing, and efficiency-enhancing traits. Yet, the exact effects of indig on RGTI have not been extensively studied. In this study, based on provincial data from 2013-2019 in China, we investigated the linear and nonlinear relationships, spatial characteristics and underlying mechanisms between indig and RGTI through a Hansen threshold model and a mediating effect model. The results showed that: i. indig fluctuates while RGTI increases steadily, both displaying evident spatial agglomeration traits and a unipolar characteristic of regional heterogeneity; ii. indig has effectively boosted RGTI at both national and regional levels, with the exception of the northeastern region; iii. There was a single threshold for industrial digitalization and the positive driving trend exhibited a “marginally increasing” characteristic; iv. Two critical elements, namely industrial structure advancement and marketization, have partial intermediary roles. Basing on these results, this study presents several policy recommendations.
AB - Regional green technology innovation (RGTI) carries ecological and technological externalities, serving as a crucial force in aligning economic development with the imperative of environmental preservation. Industrial digitalization (indig) exhibits innovative, quality-enhancing, and efficiency-enhancing traits. Yet, the exact effects of indig on RGTI have not been extensively studied. In this study, based on provincial data from 2013-2019 in China, we investigated the linear and nonlinear relationships, spatial characteristics and underlying mechanisms between indig and RGTI through a Hansen threshold model and a mediating effect model. The results showed that: i. indig fluctuates while RGTI increases steadily, both displaying evident spatial agglomeration traits and a unipolar characteristic of regional heterogeneity; ii. indig has effectively boosted RGTI at both national and regional levels, with the exception of the northeastern region; iii. There was a single threshold for industrial digitalization and the positive driving trend exhibited a “marginally increasing” characteristic; iv. Two critical elements, namely industrial structure advancement and marketization, have partial intermediary roles. Basing on these results, this study presents several policy recommendations.
KW - Industrial digitization
KW - green technology innovation
KW - intermediary model
KW - regional heterogeneity
KW - spatial agglomeration
KW - threshold effect
UR - http://www.scopus.com/inward/record.url?scp=85185593230&partnerID=8YFLogxK
U2 - 10.1016/j.jik.2024.100463
DO - 10.1016/j.jik.2024.100463
M3 - Article
AN - SCOPUS:85185593230
SN - 2530-7614
VL - 9
JO - Journal of Innovation and Knowledge
JF - Journal of Innovation and Knowledge
IS - 1
M1 - 100463
ER -