The Rise of Robots in China

The Journal of Economic Perspectives, Год журнала: 2019, Номер 33(2), С. 71 - 88

Опубликована: Май 1, 2019

China is the world’s largest user of industrial robots. In 2016, sales robots in reached 87,000 units, accounting for around 30 percent global market. To put this number perspective, robot all Europe and Americas 2016 97,300 units (according to data from International Federation Robotics). Between 2005 operational stock increased at an annual average rate 38 percent. paper, we describe adoption by China’s manufacturers using both aggregate industry-level firm-level data, provide possible explanations supply demand sides why use has risen so quickly China. A key contribution paper that have collected some first on firms’ behaviors with our Employer-Employee Survey (CEES), which contains representative entire Chinese manufacturing sector.

Язык: Английский

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Technology-driven carbon reduction: Analyzing the impact of digital technology on China's carbon emission and its mechanism

Technological Forecasting and Social Change, Год журнала: 2023, Номер 200, С. 123124 - 123124

Опубликована: Дек. 21, 2023

Язык: Английский

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Process of Transformation to Net Zero Steelmaking: Decarbonisation Scenarios Based on the Analysis of the Polish Steel Industry

Energies, Год журнала: 2023, Номер 16(8), С. 3384 - 3384

Опубликована: Апрель 12, 2023

The European steel industry is experiencing new challenges related to the market situation and climate policy. Experience from period of pandemic restrictions effects Russia’s armed invasion Ukraine has given many countries a basis for including along with raw materials (coke, iron ore, electricity) in economic security products (CRMA). Steel needed infrastructure construction development as well material other industries (without steel, factories will not produce cars, machinery, ships, washing machines, etc.). In 2022, steelmakers faced deepening energy crisis slowdown. prompted impose on production volumes (worldwide fell by 4% compared previous year). Despite difficult (production EU 11% 2022 year), strengthening its industrial decarbonisation policy (“Fit 55”). set accelerate 2050. To sharply reduce carbon emissions, mills need steelmaking technologies. largest global, are already investing technologies that use green hydrogen (produced renewable sources). Reducing ore plasma drastically CO2 emissions (steel using could emit up 95% less than current BF + BOF blast furnace basic oxygen integrated method). Investments must be tailored industry. A net zero strategy (deep goal) may have different scenarios countries. purpose this paper was introduce conditions low-carbon Polish develop (based expert opinion)

Язык: Английский

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Is artificial intelligence associated with carbon emissions reduction? Case of China

Resources Policy, Год журнала: 2023, Номер 85, С. 103892 - 103892

Опубликована: Июль 14, 2023

Язык: Английский

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How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology

Energy Economics, Год журнала: 2024, Номер 131, С. 107355 - 107355

Опубликована: Фев. 1, 2024

Язык: Английский

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How does artificial intelligence promote renewable energy development? The role of climate finance

Energy Economics, Год журнала: 2024, Номер 133, С. 107493 - 107493

Опубликована: Март 22, 2024

Scholars, stakeholders, and the government have given significant attention to development of renewable energy in recent times. However, previous research has failed acknowledge potential impact artificial intelligence on advancing development. Drawing insights from a global dataset encompassing 63 countries over period 2000–2019, this paper provides observations regarding influence progress energy, by using Instrumental Variable Generalized Method Moments model. We also explore their asymmetric nexus, mediation effect. Moreover, study explores moderating role climate finance highlights following interesting findings. First, contributes significantly enhanced primary finding holds after two robustness tests changing independent dependent variables. Second, an effect development, nexus is closer with lower levels Thid, works through technology innovation Fourth, presents direct benefits development; simultaneously, plays effective relationship between These findings inspire us propose policy implications promote energy.

Язык: Английский

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Artificial intelligence, green technological progress, energy conservation, and carbon emission reduction in China: An examination based on dynamic spatial Durbin modeling

Journal of Cleaner Production, Год журнала: 2024, Номер 446, С. 141142 - 141142

Опубликована: Фев. 6, 2024

Язык: Английский

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Does improved digital governance in government promote natural resource management? Quasi-natural experiments based on smart city pilots

Resources Policy, Год журнала: 2024, Номер 90, С. 104721 - 104721

Опубликована: Фев. 9, 2024

Язык: Английский

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Towards a high-energy efficiency world: Assessing the impact of artificial intelligence on urban energy efficiency

Journal of Cleaner Production, Год журнала: 2024, Номер 461, С. 142593 - 142593

Опубликована: Май 16, 2024

Язык: Английский

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Artificial intelligence and carbon emissions inequality: Evidence from industrial robot application

Journal of Cleaner Production, Год журнала: 2024, Номер 438, С. 140817 - 140817

Опубликована: Янв. 1, 2024

Язык: Английский

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