With a renewed global scientific and technological revolution and industrial reform, the digital economy, with data resources as the key element, has rapidly developed. This study proposes a data-driven measurement and evaluation method to promote the coordinated development of the digital economy and logistics industry. An evaluation index system is constructed, which comprehensively considers the index dimensions that reflect the development level of the digital economy and logistics industry. A Z-score standardisation method is applied to data processing, to carry out dimensionless standardisation processing of the original index data. A collaborative degree model is constructed to evaluate the collaborative development level of the digital economy and logistics industry composite system. We demonstrate the implementation process of these models using data from Anhui province from 2013 to 2020. The results verify the feasibility of the research method and emphasise that the development level of the composite system of the digital economy and logistics industry in Anhui province shows a fluctuating growth trend, with variations between the types and degrees of collaboration policy; suggestions are made accordingly. This study provides theoretical and methodological support for the coordinated development of the regional digital economy and logistics industry.

The low-carbon transformation of the manufacturing industry is a key path to balance climate goals and industrial competitiveness. This systematic review critically analyzes 145 studies from 2012 to 2025 to explore the low-carbon transformation. Findings show that low-carbon city pilots reduce manufacturing carbon intensity via fiscal and tech expenditures; industrial internet and additive manufacturing reshape low-carbon production, with digital and green process innovations driving emission reduction. Yet, bottlenecks exist: SMEs face digital adaptation and green financing constraints; excessive digitalization causes energy rebound; high-carbon industries’ deep decarbonization is hindered by unproven large-scale economic feasibility of low-carbon tech, alongside policy-technological disconnection, and green finance structural contradictions. This study proposes core solutions: dynamic policy adjustment mechanisms, multi-dimensional SME support systems, and technology–economy coupling evaluation models. It establishes research coordinates for academia, designs policy tools for decision-makers, and provides a technological framework for industrial deep decarbonization, offering global references for balancing climate goals and manufacturing competitiveness.