Economic Change and Restructuring, Год журнала: 2024, Номер 57(1)
Опубликована: Фев. 1, 2024
Язык: Английский
Journal of the Knowledge Economy, Год журнала: 2025, Номер unknown
Опубликована: Март 6, 2025
Язык: Английский
Процитировано
3
Processes, Год журнала: 2025, Номер 13(1), С. 195 - 195
Опубликована: Янв. 12, 2025
This study evaluates the feasibility and effectiveness of Life Cycle Assessment (LCA) methodology. Two widely used products with same functionality but different designs production processes were selected for comparative analysis. SimaPro 9.6.0 software was calculations LCA both assemblies. The analysis covered all phases life cycle, taking into account factors such as energy, materials water consumption. results allowed a comparison environmental impacts two assemblies, identifying cycle highest impact most relevant categories. revealed that metal trolley exhibited 40% higher during compared to polypropylene trolley, primarily due material extraction processing phases. Additionally, showed long-term in landfill scenarios carcinogenic substance emissions. These findings highlight significance design selection reducing impacts. Applying methodology mechanical assemblies us identify opportunities improvement manufacturing processes, aim increasing competitiveness products. By considering full product from early phases, more sustainable decisions can be made, by using this analysis, companies develop reduce costs.
Язык: Английский
Процитировано
2
SAGE Open, Год журнала: 2023, Номер 13(3)
Опубликована: Июль 1, 2023
The digital economy is integral in driving economic growth, particularly of high-quality standards. Against the backdrop “Double Carbon” project, exploring impact on green agricultural development bears tremendous practical significance. Thus, this study aims to investigate how affects total factor productivity (GTFP). entropy-TOPSIS method and SBM-GML index are used measure core variables quantitatively. In addition, two-way fixed effects panel data models, Tobit, intermediary effect models implemented. Three research findings emerge. First, China’s GTFP level generally experiences an upward trend, has a significant positive increasing GTFP. Second, mainly promotes technology innovation that boosts Third, Western China more than Central Eastern China. Finally, based findings, paper proposes relevant policy recommendations promote sustainable agriculture development.
Язык: Английский
Процитировано
39
International Journal of Environmental Research and Public Health, Год журнала: 2023, Номер 20(3), С. 2178 - 2178
Опубликована: Янв. 25, 2023
In the context of China's "digital power" strategy, realization a green and low-carbon shift in manufacturing has become necessary condition to promote economy, digital factor increasingly new driving force. The text mining IPCC methods were used measure enterprise digitalization level carbon emission intensity from 2011 2021, respectively. This study then explored impact on based least squares method model instrumental variable model. research comes three conclusions. (1) Digitalization can significantly reduce industry, influence shows "marginal increase." (2) Notably, mechanism analysis indicates intermediary effect sizes four crucial intermediaries: technology innovation > financing constraint information asymmetry energy use efficiency. Interestingly, resources positively moderate positive through paths: constraints, innovation, asymmetry. (3) evident signs heterogeneity-as environmental regulation, financial development, executive education, R&D quality advance, inhibiting becomes more pronounced. Finally, corresponding policy suggestions are proposed.
Язык: Английский
Процитировано
36
Technological Forecasting and Social Change, Год журнала: 2023, Номер 199, С. 123005 - 123005
Опубликована: Ноя. 28, 2023
Язык: Английский
Процитировано
30
Sustainable Development, Год журнала: 2023, Номер 31(4), С. 2386 - 2401
Опубликована: Фев. 21, 2023
Abstract China has promoted innovation‐driven and green development to unprecedented strategic heights. However, compared the large rapid innovation investment, total factor productivity's (TFP) growth rate shown a downward trend. Consequently, this study assesses inefficiency caused by resource mismatch discusses impact of activities on productivity (GTFP). We use causal forest‐based machine learning method solve endogenous problem. The empirically analyzes observation samples 272 prefecture‐level cities in from 2008 2018 obtains asymptotic normality estimation average treatment effect (ATE). Simultaneously, clustering forest ridge expressions, robustness related problems. According results, (1) China's GTFP is negative for short time positive long time; (2) subject capital mismatch, while statistical law labor not obvious but adverse gradually improving; (3), Green significantly improved GTFP, it did lead ideal Growth GTC.
Язык: Английский
Процитировано
28
Frontiers in Environmental Science, Год журнала: 2023, Номер 11
Опубликована: Фев. 9, 2023
With prominent environmental pollution and depleted resources, how to coordinate economic growth eco-environmental protection guide green development represented by total factor productivity (GTFP) is an urgent issue. This study aims empirically evaluate the direct effect, indirect spatial spillover effect non-linear of digital economy on using data 284 prefecture-level cities in China. The empirical results indicate that: (1) significantly improves GTFP, which still valid after testing for robustness, including introducing instrumental variables, taking “broadband China” pilot policy as a quasi-natural experiment, changing core explanatory variables dependent sample size; (2) influence GTFP characterized significant heterogeneity among resource dependence, geographical location, financial level openness level; (3) mechanism analysis shows that promotes technological innovation, industrial structure upgrading energy conservation; (4) econometric models enhances neighboring cities; (5) there relationship between threshold model. findings could provide references policymakers promote urban development.
Язык: Английский
Процитировано
27
Environmental Impact Assessment Review, Год журнала: 2023, Номер 105, С. 107373 - 107373
Опубликована: Дек. 8, 2023
Язык: Английский
Процитировано
27
Sustainable Development, Год журнала: 2023, Номер 32(1), С. 455 - 480
Опубликована: Июль 12, 2023
Abstract Global climate change is becoming an increasingly serious issue. China, the largest carbon emitter, has a long way towards its sustainable development goals (SDGs) and take on reduction responsibility, especially in industrial sector. In this vein, intelligence, key driver “Industry 4.0 era”, offers opportunity campaign. This paper seeks to examine influences of intelligence emissions, their heterogeneous characteristics transmission mechanisms, moderating role human capital. Therefore, we properly probed theoretical aspects, then used China's provincial data from 2006 2019 number tests, namely fixed effect model, two‐stage test, test relevant assumptions. We first unfolded that can significantly mitigate emissions. Specifically, analysis found efforts are more pronounced central western regions resource‐based regions. further highlight mechanism identification, which reveals structure upgrading technological innovation main channels for abate CO 2 Importantly, pinpoint capital, positively moderates relationship between emissions well amplify intelligence. These results conducive accurately assessing environmental benefits providing policy enlightenment China alleviate they will also offer reference other developing countries learn from.
Язык: Английский
Процитировано
24
Energy Reports, Год журнала: 2023, Номер 11, С. 914 - 924
Опубликована: Дек. 29, 2023
Industry is the pillar of real economy, and its green development contributes to achieving low-carbon goals proposed by United Nations. This paper constructs an analytical framework "green finance-green technological innovation-industrial total factor productivity" study how finance (GF) influences industrial productivity (IGTFP). Based on panel data from 30 provinces 281 cities in China between 2011–2019,this measures GF levels IGTFP index using entropy method super-efficiency slacks-based model with Malmquist-Luenberger method, conduct a series empirical tests. Also, we focus mechanism effect technology innovation (GTI) process affecting IGTFP. Additionally, have discussed supporting role digital financial inclusion (DFI) at micro level. The main findings include: (1) can significantly improve IGTFP, it's still credible after robustness (2) heterogeneity analysis indicates that influence varies different cities, this positive tends increase expansion city size. (3) Mechanism tests show has influencing (4) discussion support development, so as promote China. momentous theoretical value policy implications for other developing countries exploring development.
Язык: Английский
Процитировано
24