Industrial chain division and carbon emission intensity: The moderating effect of digitization

Ouyang, 2022, Network analysis of risk transmission among energy futures: an industrial chain perspective, Energy Econ, 107, 10.1016/j.eneco.2021.105798 Li, 2017, Economic growth model, structural transformation, and green productivity in China, Appl Energy, 187, 489, 10.1016/j.apenergy.2016.11.075 Rana, 2023, Carbon footprint of the globe artichoke supply chain in Southern Italy: from agricultural production to industrial processing, J Clean Prod, 391, 10.1016/j.jclepro.2023.136240 Yan, 2023, Carbon productivity and value-added generations: regional heterogeneity along global value chain, Struct Change Econ Dynam, 65, 111, 10.1016/j.strueco.2023.02.009 Olabi, 2023, Energy digitalization: main categories, applications, merits, and barriers, Energy, 271, 10.1016/j.energy.2023.126899 Peng, 2023, The energy rebound effect of digital development: evidence from 285 cities in China, Energy, 270, 10.1016/j.energy.2023.126837 Zhang, 2022, Digital economy: an innovation driving factor for low-carbon development, Environ Impact Assess Rev, 96, 10.1016/j.eiar.2022.106821 Lin, 2022, How does internet development affect green technology innovation in China?, J Global Inf Manag, 30, 1 Wang, 2022, How does the digital economy accelerate global energy justice? Mechanism discussion and empirical test, Energy Econ, 114, 10.1016/j.eneco.2022.106315 Neri, 2021, A triple bottom line balanced set of key performance indicators to measure the sustainability performance of industrial supply chains, Sustain Prod Consum, 26, 648, 10.1016/j.spc.2020.12.018 Defourny, 1984, Structural path-analysis and multiplier decomposition within a social accounting matrix framework, Econ J, 94, 111, 10.2307/2232220 Zhou, 2022, Carbon-economic inequality in global ICT trade, iScience, 25, 10.1016/j.isci.2022.105604 Wood, 2009, Structural path decomposition, Energy Econ, 31, 335, 10.1016/j.eneco.2008.11.003 Lenzen, 2006, Structural path analysis of ecosystem networks, Ecol Model, 200, 334 Llop, 2015, Identifying the role of final consumption in structural path analysis: an application to water uses, Ecol Econ, 109, 10.1016/j.ecolecon.2014.11.011 Lin, 2022, Structural path and decomposition analysis of sectoral carbon emission changes in China, Energy, 261, 10.1016/j.energy.2022.125331 Hong, 2016, A multi-regional structural path analysis of the energy supply chain in China's construction industry, Energy Pol, 92, 56, 10.1016/j.enpol.2016.01.017 Zhang, 2021, Structural path decomposition analysis of resource utilization in China, 1997-2017, J Clean Prod, 322, 10.1016/j.jclepro.2021.129006 Sintov, 2018, Odd couple or perfect pair? Tensions and recommendations for social scientist-industry partnerships in energy research, Energy Pol, 117, 247, 10.1016/j.enpol.2018.03.021 Liu, 2019, Synergy of the innovation system in the yangtze river economic belt, 1324 Zhu, 2022, Does industrial collaborative agglomeration improve environmental efficiency? Insights from China's population structure, Environ Sci Pollut Control Ser, 29, 5072, 10.1007/s11356-021-15618-3 Yu, 2022, Synergy evaluation of China's economy-energy low-carbon transition and its improvement strategy for structure optimization, Environ Sci Pollut Control Ser Gibson, 1996, Accelerating supply chain management learning: identifying enablers from a university-industry collaboration, Supply Chain Manag: Int J, 21, 470, 10.1108/SCM-10-2014-0343 Bai, 2020, Performance evaluation of China's innovation during the industry-university-research collaboration process-an analysis basis on the dynamic network slacks-based measurement model, Technol Soc, 62, 10.1016/j.techsoc.2020.101310 Antràs, 2013, Organizing the global value chain, Econometrica, 81, 2127, 10.3982/ECTA10813 Yang, 2021, Effect of technological innovation inputs on global value chains status, J Global Inf Manag, 29, 37, 10.4018/JGIM.20210901.oa3 Dietzenbacher, 2005, Using average propagation lengths to identify production chains in the andalusian economy, Estud Econ Apl, 23, 405 Ni, 2016, The evolution path of production fragmentation and its factors, Manag World, 10 Wang, 2017 Koopman, 2014, Tracing value-added and double counting in gross exports, Am Econ Rev, 104, 459, 10.1257/aer.104.2.459 Zhou, 2019, How information and communication technology drives carbon emissions: a sector-level analysis for China, Energy Econ, 81, 380, 10.1016/j.eneco.2019.04.014 Zhou, 2022, A framework to analyze carbon impacts of digital economy: the case of China, Sustain Prod Consum, 31, 357, 10.1016/j.spc.2022.03.002 Ha, 2022, Is digitalization a driver to enhance environmental performance? An empirical investigation of European countries, Sustain Prod Consum, 32, 230, 10.1016/j.spc.2022.04.002 Lin, 2021, Economic impact of information industry development and investment strategy for information industry, J Global Inf Manag, 29, 22, 10.4018/JGIM.2021010102 Sherren, 2017, Digital archives, big data and image-based culturomics for social impact assessment: opportunities and challenges, Environ Impact Assess Rev, 67, 23, 10.1016/j.eiar.2017.08.002 Lendle, 2016, There goes gravity: eBay and the death of distance, Econ J, 126, 406, 10.1111/ecoj.12286 Chen, 2021, The value of reputation in trade: evidence from alibaba, Rev Econ Stat, 103, 857, 10.1162/rest_a_00932 Faber, 2020, Robots and reshoring: evidence from Mexican labor markets, J Int Econ, 127, 10.1016/j.jinteco.2020.103384 Lin, 2015, Estimating the effect of the Internet on international trade, J Int Trade Econ Dev, 24, 409, 10.1080/09638199.2014.881906 Han, 2022, The impact of digital economy on total factor carbon productivity: the threshold effect of technology accumulation, Environ Sci Pollut Control Ser, 29, 55691, 10.1007/s11356-022-19721-x Jiang, 2019, An intelligent supply chain information collaboration model based on internet of things and big data, IEEE Access, 7, 58324, 10.1109/ACCESS.2019.2913192 Goldfarb, 2019, Digital economics, J Econ Lit, 57, 3, 10.1257/jel.20171452 Lechevalier, 2014, Diversity in patterns of industry evolution: how an intrapreneurial regime contributed to the emergence of the service robot industry, Res Pol, 43, 1716, 10.1016/j.respol.2014.07.012 Guan, 2019, Exploring energy-water-land nexus in national supply chains: China 2012, Energy, 185, 1225, 10.1016/j.energy.2019.07.130 Seung, 2015, Untangling economic impacts for Alaska fisheries: a structural path analysis, Mar Resour Econ, 30, 331, 10.1086/680444 Liu, 2022, A study of CO2 emissions in China's domestic construction industry based on non-competitive input-output, Sustain Prod Consum, 32, 743, 10.1016/j.spc.2022.05.024 Huo, 2015, The effect of IT and relationship commitment on supply chain coordination: a contingency and configuration approach, Inf Manag, 52, 728, 10.1016/j.im.2015.06.007 Muradov, 2016, Structure and length of value chains, SSRN Electron J, 10.2139/ssrn.3054155 Bartik, 1991 Zhou, 2018, How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis, Energy, 151, 748, 10.1016/j.energy.2018.03.115 Choudhry, 2021, Is India's formal manufacturing sector ‘hollowing out’- importance of intermediate input, Struct Change Econ Dynam, 59, 533, 10.1016/j.strueco.2021.09.014 Tang, 2022, Input servitization, global value chain, and carbon mitigation: an input-output perspective of global manufacturing industry, Econ Modell, 117, 10.1016/j.econmod.2022.106069 Xie, 2020, Influencing factors of the decoupling relationship between CO2 emission and economic development in China's power industry, Energy, 209, 10.1016/j.energy.2020.118341 Carley, 2022, Specialty grand challenge: energy transitions, human dimensions, and society, Front Sustain Energy Pol, 1 You, 2022, How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries, Energy, 247, 10.1016/j.energy.2022.123386 Lin, 2023, How will promoting the digital economy affect electricity intensity?, Energy Pol, 173, 10.1016/j.enpol.2022.113341 Lv, 2023, Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: a comprehensive review, Green Technol Sustain, 1 Zhang, 2016, Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors, Energy, 99, 10, 10.1016/j.energy.2016.01.012 Xu, 2022, Assessing the role of environmental regulations in improving energy efficiency and reducing CO2 emissions: evidence from the logistics industry, Environ Impact Assess Rev, 96, 10.1016/j.eiar.2022.106831 Wang, 2023, Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China, Technol Soc, 72, 10.1016/j.techsoc.2023.102208 Li, 2015, Measuring green productivity growth of Chinese industrial sectors during 1998–2011, China Econ Rev, 36, 279, 10.1016/j.chieco.2015.09.008 Wang, 2022, Global value chains and carbon emission reduction in developing countries: does industrial upgrading matter?, Environ Impact Assess Rev, 97, 10.1016/j.eiar.2022.106895 Yi, 2022, Effects of digital economy on carbon emission reduction: new evidence from China, Energy Pol, 171, 10.1016/j.enpol.2022.113271 Song, 2023, Digital finance, technological innovation, and carbon dioxide emissions, Econ Anal Pol