In recent years, blade electric vehicles (BEVs) have increasingly attracted attention in the fields of social economy and environmental protection. By disassembling and merging China's input-output (I-O) table in ...
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In recent years, blade electric vehicles (BEVs) have increasingly attracted attention in the fields of social economy and environmental protection. By disassembling and merging China's input-output (I-O) table in 2020, this study derived a new I-O table for 43 industries including BEV manufacturing industry. On this basis, the study quantified the impact of BEV manufacturing industry on China's social economy and environment. The study found that the final demand per unit in the BEV manufacturing industry in 2020 results in 3.61 units of total output increase. The increase in the final demand of BEV manufacturing industry has a strong pulling effect on the national economy is more closely related to the upstream than the downstream in the supply chain. In addition, indirect carbon emissions from BEV manufacturing industry are the main source of carbon emissions, accounting for more than 99% of the total emissions.
Some forty carbon tax initiatives have been adopted, and more countries are evaluating the possibility of implementing this instrument every year. However, there is significant heterogeneity in tax rates, type of cove...
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Some forty carbon tax initiatives have been adopted, and more countries are evaluating the possibility of implementing this instrument every year. However, there is significant heterogeneity in tax rates, type of covered emissions, and regulated sectors, which is explained by the different levels of environmental concern and cost that each country is willing to assume. In this context, the present study simulates various scenarios of carbon taxes in (almost) every country in the world to contribute to the global design of climate change policies. Specifically, input-output tables and sectoral CO2 emissions of each country are used to calibrate the environmental extension of the Leontief price model, obtaining the impacts on prices, production, and emissions at the sectoral, national, or global level. The results show that the same effective tax rate can have very different effects in each country, mainly explained by the composition of the energy matrix. In addition, global CO2 emissions would be reduced by 0.10%-0.23% for each dollar of CO2 tax applied to all sectors and countries. Finally, a more outstanding commitment from rich countries and larger developing countries is required to contribute more decisively to combating climate change in the short term.
The bioeconomy has received significant policy attention globally, particularly in the United States and the European Union, where extensive studies have evaluated its economic importance and strategic potential. In c...
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The bioeconomy has received significant policy attention globally, particularly in the United States and the European Union, where extensive studies have evaluated its economic importance and strategic potential. In contrast, Asia's bioeconomy, despite its substantial contributions to global biomass production and biotechnology, remains comparatively underexplored. This paper presents a study on the Chines bioeconomy value added covering the period 1995-2018, using OECD input-output statistics and the hypothetical extraction method (HEM). Our findings reveal that the Chinese bioeconomy contributes 16% to the entire economy in 2018. Furthermore, we compare the bioeconomy value added and growth rates of ten countries during the same period. The two non-OECD countries, China and India, exhibit higher percentages of bioeconomy value added, both between 15 and 19%, than the other eight OECD countries, where the percentages remain below 10%. Our results indicate that, while the total value added and bioeconomy value added fluctuate for all ten countries, the two curves follow similar trends for all countries except the United States and China. Additionally, we compare the HEM results with other methodologies and observe that the HEM and the input-based method yield similar outcomes for China, while both are considerably lower than the up- and downstream approach. This has implications for assessing the contribution of the bioeconomy for sustainable development.
This study investigates the economic interdependencies and changes in the economic structure of the Norwegian fisheries and aquaculture sector during the COVID-19 pandemic through input-output analysis. Utilizing data...
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This study investigates the economic interdependencies and changes in the economic structure of the Norwegian fisheries and aquaculture sector during the COVID-19 pandemic through input-output analysis. Utilizing data from 2019 to 2021, I characterize the inter-industry structure of the sector relative to the Norwegian economy by using a Leontief, Ghosh models and the hypothetical extraction method that allow to calculate measures of interindustry linkages. It is found that fisheries and aquaculture is key for the Norwegian economy as it has strong Hirschman-Rasmussen Indexes (HRI) for backward and forward linkages. Additionally, the sector has a relatively low dependence on imported inputs, and the structure of such imports did not change significantly between 2019 and 2021. A deeper analysis of the fisheries and aquaculture backward and forward linkages, reveals that the sector is highly connected to the food products, beverages, and tobacco industries, with stable dependency levels even amid the pandemic. The findings indicate that the fisheries and aquaculture sector maintained a stable industry structure despite COVID-19, partly due to its ability to adapt to changing global supply chain dynamics and domestic support measures. This research provides insights that may be helpful for policymakers aiming to enhance sectoral resilience and develop targeted economic recovery strategies in the face of future crises.
A disproportionate concentration of women in low-pay and low-status sectors is a trend that has grown in significance with the globalization of production systems. For the health and social care sector, this has inter...
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A disproportionate concentration of women in low-pay and low-status sectors is a trend that has grown in significance with the globalization of production systems. For the health and social care sector, this has interesting socio-spatial implications, particularly in terms of immigration, the dimensions of which are worth investigating. This study employs the novel extended multiregional input-output FIGARO database to estimate the employment-generating capacity of the sector in the EU28, with a focus on the gender and geographic origin of its workers. The analysis takes into account both indirect and induced effects and considers both cross-country and crosssectoral linkages. The findings identify the healthcare sector as a key source of employment for both national and immigrant women in more than half of EU countries. At the same time, this sector contributes to the earnings disadvantage experienced by women, which suggest that equality policies should consider the sectoral distribution of employment.
A class of discrete-time quasi-reversible nodes called monotone, which includes discrete-time analogs of the ./M/ infinity and ./M/1 nodes, is considered. For stationary ergodic nonnegative integer valued arrival proc...
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A class of discrete-time quasi-reversible nodes called monotone, which includes discrete-time analogs of the ./M/ infinity and ./M/1 nodes, is considered. For stationary ergodic nonnegative integer valued arrival processes, the existence and uniqueness of stationary regimes are proven when a natural rate condition is met. Coupling is used to prove the contractiveness of the input-output map relative to a natural distance on the space of stationary arrival processes that is analogous to Ornstein's d distance. A consequence is that the only stationary ergodic fixed points of the input-output map are the processes of independent and identically distributed Poisson random variables meeting the rate condition.
Continuous-time nonlinear feedback control of multivariable processes with dead-times is considered. The problem of deadtime compensation for a class of nonlinear multivariable processes is solved. The nonlinear contr...
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Continuous-time nonlinear feedback control of multivariable processes with dead-times is considered. The problem of deadtime compensation for a class of nonlinear multivariable processes is solved. The nonlinear controllers are derived by using two conceptually different approaches, a differential geometric approach and a model predictive approach. The model predictive approach uses shortest prediction horizons which allow one to establish the connections between model predictive control and input-output linearization. These two approaches lead to identical feedback controllers when there are no constraints or when the characteristic (decoupling) matrix of process can be made diagonal by manipulated-input/controlled-output rearrangements. Connections between the derived controllers and the linear internal model control are established. The application and performance of one of the derived nonlinear controllers is illustrated by a reactor example.
This paper presents the first input-output robust control design for the trajectory following problem of a flexible-joint robot manipulator. The proposed design provides a class of controllers which only require posit...
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This paper presents the first input-output robust control design for the trajectory following problem of a flexible-joint robot manipulator. The proposed design provides a class of controllers which only require position and velocity feedback and ensure global stability. The resulting stability is that the tracking error can be made to be smaller than a design parameter arbitrarily chosen by the designer. The proposed control is robust since it guarantees tracking performance in the presence of high-order nonlinear uncertainties including unknown joint elasticity, unknown parameters, load variation, and disturbances. Practically, it is more important that no measurement on acceleration, jerk, or position and velocity deformation is required.
This paper considers the input-output linearization problem for retarded non-linear systems, which have time-delays in the state. By using an extension of the Lie derivative for functional differential equations, we d...
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This paper considers the input-output linearization problem for retarded non-linear systems, which have time-delays in the state. By using an extension of the Lie derivative for functional differential equations, we derive a coordinates transformation and a static state feedback to obtain linear input-output behaviour for a class of retarded non-linear systems. The obtained coordinates transformation is allowed to contain not only the current value of the state variables but also the past values of ones. In addition, we show that the coordinates transformation is invertible in a neighbourhood of the origin and examine the stability condition of the closed loop system with the static state feedback. The effectiveness of the proposed technique is demonstrated through numerical simulations.
We give a new approach to the problem of stabilization of systems defined on the full time axis (the integers or the real numbers, as appropriate), which enables us to avoid the paradoxical situation observed by Georg...
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We give a new approach to the problem of stabilization of systems defined on the full time axis (the integers or the real numbers, as appropriate), which enables us to avoid the paradoxical situation observed by Georgiou and Smith. This approach enables us to treat directly the case of persistent signals, such as power-bounded signals, defined on the full time axis.
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