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学者姓名：迟远英
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Abstract ：
Under the background that China will achieve the goal of carbon neutrality by 2060, analyzing the impact of carbon neutral target constraints on the welfare of urban and rural residents is an important part of the design of a carbon emission reduction policy mechanism, in this paper, the dynamic recursive CGE(Computable general equilibrium) model is used to simulate the changes in welfare level, income consumption, and CO2 emissions of residents and their urban-rural heterogeneity under the policy of imposing a carbon tax on the fossil energy industry from 2022 to 2060. The results show that: compared with the BAU scenario, by 2060, first the income and consumption of residents will decrease slightly. Second, the target constraint of carbon neutrality makes the equivalent variation and compensate variation of urban and rural residents' welfare decrease slightly, and the equivalent variation and compensate variation of urban residents decrease more than those of rural residents. The following conclusions are drawn: first, the carbon-neutral target constraint makes the welfare of urban and rural residents decline slightly, but it will not have a strong impact on residents' income and consumption. Second, this constraint has a greater impact on the income, consumption and savings of urban residents than those of rural residents.
Keyword ：
Carbon neutrality constraints Carbon neutrality constraints Dynamic CGE model Dynamic CGE model Carbon tax Carbon tax Welfare of residents Welfare of residents
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| GB/T 7714 | Zhang, Yangyi , Chi, Yuanying , Li, Guozheng et al. The impact of carbon tax policy on residents' welfare of China and its heterogeneity under the carbon neutrality goal: A CGE model-based analysis [J]. | JOURNAL OF CLEANER PRODUCTION , 2024 , 434 . |
| MLA | Zhang, Yangyi et al. "The impact of carbon tax policy on residents' welfare of China and its heterogeneity under the carbon neutrality goal: A CGE model-based analysis" . | JOURNAL OF CLEANER PRODUCTION 434 (2024) . |
| APA | Zhang, Yangyi , Chi, Yuanying , Li, Guozheng , Zhang, Xufeng . The impact of carbon tax policy on residents' welfare of China and its heterogeneity under the carbon neutrality goal: A CGE model-based analysis . | JOURNAL OF CLEANER PRODUCTION , 2024 , 434 . |
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Abstract ：
The inter-regional ultra-high voltage (UHV) projects are crucial for power systems. Carbon emissions associated with the power sector cannot be ignored. In this paper, based on the panel data of 198 prefecture-level cities in China from 2009 to 2019, a multi-period difference-in-difference model is developed for the first time to examine the impact of UHV projects on carbon emissions. Empirical results show that UHV projects increase overall carbon emissions. This impact can also be achieved through the mechanisms of the scale of power generation and the level of economic development. Heterogeneity research demonstrates that the carbon emissions issue of UHV projects is more significant in cities with low levels of economic development and a large proportion of secondary industries. Extensibility research shows that UHV projects have a more significant impact on carbon emissions in power-sending cities than that in power-receiving cities. The more clean power the UHV transmission lines transmit, the less impact on carbon emissions. This study not only enhances our understanding about the impact of UHV projects on carbon emissions, but also provides inspiration for the low-carbon pathway transition.
Keyword ：
Renewable energy Renewable energy Ultra-high voltage(UHV) Ultra-high voltage(UHV) Carbon emissions Carbon emissions DID model DID model
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| GB/T 7714 | Chi, Yuanying , Qiao, Zhaoxuan , Zhou, Wenbing et al. The impact of ultra-high voltage projects on carbon emissions in China [J]. | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2023 , 30 (40) : 92135-92145 . |
| MLA | Chi, Yuanying et al. "The impact of ultra-high voltage projects on carbon emissions in China" . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 30 . 40 (2023) : 92135-92145 . |
| APA | Chi, Yuanying , Qiao, Zhaoxuan , Zhou, Wenbing , Zhang, Mengwan , Zhang, Xufeng . The impact of ultra-high voltage projects on carbon emissions in China . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2023 , 30 (40) , 92135-92145 . |
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Abstract ：
As sustainable development becomes an important goal for all industries, the study of closed-loop supply chains has gradually become a priority. Most of the previous studies on closed-loop supply chains are based on simple and single market conditions, which cannot analyze the real situation well. In this paper, two common behavioral preferences in the market, overconfidence and competitive preference, are incorporated into the study of closed-loop supply chains to investigate how the overconfidence of retailers and the competitive preference of manufacturers jointly affect the decisions and interests of both parties in closed-loop supply chains under different dominant models. It is concluded that in terms of pricing, while the wholesale price increases in the competitive preference, the reselling price in fact decreases when the retailer's overconfidence level is of a middle level; in terms of recycling, the pursuit of high profits by monopolistic manufacturers is not conducive to recycling quantity in the secondary supply chain with recycling; in terms of profits, in a manufacturer-led model, the profits of all sides in the closed-loop supply chain, including the manufacturer itself, sometimes diminish as the manufacturer's competitive preference behavior becomes more intense.
Keyword ：
overconfidence overconfidence Stackelberg game model Stackelberg game model closed-loop supply chain closed-loop supply chain competitive preference competitive preference
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| GB/T 7714 | Xu, Hao , Gao, Kaiye , Chi, Yuanying et al. Interactive Impacts of Overconfidence and Competitive Preference on Closed-Loop Supply Chain Performance [J]. | MATHEMATICS , 2022 , 10 (22) . |
| MLA | Xu, Hao et al. "Interactive Impacts of Overconfidence and Competitive Preference on Closed-Loop Supply Chain Performance" . | MATHEMATICS 10 . 22 (2022) . |
| APA | Xu, Hao , Gao, Kaiye , Chi, Yuanying , Chen, Yahui , Peng, Rui . Interactive Impacts of Overconfidence and Competitive Preference on Closed-Loop Supply Chain Performance . | MATHEMATICS , 2022 , 10 (22) . |
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Abstract ：
A low-carbon energy policy is an effective measure for promoting the development of renewable energy(RE). China has introduced renewable portfolio standards(RPS) and voluntary subscription for tradable green certif-icates(TGCs), but the market response is not significant. China's electricity trading functions at provincial-level regions, and there are differences in resources between the provinces. New policies need to consider the char-acteristics of each province to reduce market implementation risk for introduction and implementation. Therefore, based on the provincial characteristics of energy resource endowment in China, we construct a system dynamics(SD) model of the coupling of the RE market, consumption above quota(CAQ), and TGC market based on the structure of the sending-end grid(SG) and receiving-end grid(RG). Three types of TGC models were designed based on the scope of the TGC market. Finally, the impact of policy parameters such as the RPS target, inter-provincial transmission capacity, TGC validity period, and technology cost on the development of RE in-dustries in both SG and RG was analyzed. The results show that the TGC market to be developed independently in various provinces in the initial stage and later expanded into a unified market. Increased RPS requirements, increased inter-provincial transmission capacity, and lower RE costs can enhance policy implementation.
Keyword ：
System dynamics model System dynamics model Renewable portfolio standards Renewable portfolio standards Tradable green certificates Tradable green certificates Provincial resource differences Provincial resource differences
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| GB/T 7714 | Hu, Yu , Chi, Yuanying , Zhao, Hao et al. The development of renewable energy industry under renewable portfolio standards: From the perspective of provincial resource differences [J]. | ENERGY POLICY , 2022 , 170 . |
| MLA | Hu, Yu et al. "The development of renewable energy industry under renewable portfolio standards: From the perspective of provincial resource differences" . | ENERGY POLICY 170 (2022) . |
| APA | Hu, Yu , Chi, Yuanying , Zhao, Hao , Zhou, Wenbing . The development of renewable energy industry under renewable portfolio standards: From the perspective of provincial resource differences . | ENERGY POLICY , 2022 , 170 . |
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Abstract ：
The low-carbon transformation of the power industry is of great significance to realize the carbon peak in advance. However, almost a third of China's CO2 emissions came from the power sector in 2019. This paper aimed to identify the key drivers of CO2 emissions in China's power industry with the consideration of spatial autocorrelation. The spatial Durbin model and relative importance analysis were combined based on Chinese provincial data from 2003 to 2019. This combination demonstrated that GDP, the power supply structure and energy intensity are the key drivers of CO2 emissions in China's power industry. The self-supply ratio of electricity and the spatial spillover effect have a slight effect on increasing CO2 emissions. The energy demand structure and CO2 emission intensity of thermal power have a positive effect, although it is the lowest. Second, the positive impact of GDP on CO2 emissions is decreasing, but that of the power supply structure and energy intensity is increasing. Third, the energy demand of the industrial and residential sectors has a greater impact on CO2 emissions than that of construction and transportation. For achieving the CO2 emission peak in advance, governments should give priority to developing renewable power and regional electricity trade rather than upgrading thermal power generation. They should also focus on promoting energy-saving technology, especially tapping the energy-saving potential of the industry and resident sectors.
Keyword ：
driving factor analysis driving factor analysis power industry power industry low-carbon transformation low-carbon transformation relative importance analysis relative importance analysis spatial Durbin model spatial Durbin model
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| GB/T 7714 | Chi, Yuanying , Zhou, Wenbing , Tang, Songlin et al. Driving Factors of CO2 Emissions in China's Power Industry: Relative Importance Analysis Based on Spatial Durbin Model [J]. | ENERGIES , 2022 , 15 (7) . |
| MLA | Chi, Yuanying et al. "Driving Factors of CO2 Emissions in China's Power Industry: Relative Importance Analysis Based on Spatial Durbin Model" . | ENERGIES 15 . 7 (2022) . |
| APA | Chi, Yuanying , Zhou, Wenbing , Tang, Songlin , Hu, Yu . Driving Factors of CO2 Emissions in China's Power Industry: Relative Importance Analysis Based on Spatial Durbin Model . | ENERGIES , 2022 , 15 (7) . |
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Abstract ：
It is imperative to use clean energy in order to achieve "carbon neutrality" and "carbon peaking". This research aims to explore the impact of the agricultural mechanization level, the rural infrastructure construction level, and the rural economic development level on the utilization of high-quality straw energy, and, resultingly, this study aims to help provide suggestions for promoting high-quality straw energy utilization, develop the potential of high-quality straw energy, and alleviate China's energy shortage problem. This paper develops a measurement model using the ridge regression model with panel fixed effects, which overcomes the multi-collinearity problem among the various factors influencing the utilization of high-quality energy from straw. Panel data from 24 provinces and cities, from 2009 to 2017, are used. The results show that the improvements of the agricultural mechanization level, the rural infrastructure construction level, and the rural economic development level all promote the use of high-quality straw energy. Moreover, the level of rural economic development plays a mediating role in the agricultural mechanization level and the rural infrastructure construction level pertaining to straw-based high-quality energy. Policy implications can be easy to derive based on our findings, and these include strengthening governmental investment in agricultural machinery in rural areas, paying more attention to areas with backward rural energy infrastructure construction, ensuring the steady improvement of economic development in rural areas, providing the necessary economic foundation for agricultural supply, and promoting the use of high-quality energy from straw.
Keyword ：
straw straw renewable energy renewable energy infrastructure construction infrastructure construction mechanization level mechanization level high-quality energy high-quality energy ridge regression ridge regression
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| GB/T 7714 | Ren, Ji-Qin , Yang, Ya-Wen , Chi, Yuan-Ying . Research on Straw-Based High-Quality Energy in China under the Background of Carbon Neutrality [J]. | ENERGIES , 2022 , 15 (5) . |
| MLA | Ren, Ji-Qin et al. "Research on Straw-Based High-Quality Energy in China under the Background of Carbon Neutrality" . | ENERGIES 15 . 5 (2022) . |
| APA | Ren, Ji-Qin , Yang, Ya-Wen , Chi, Yuan-Ying . Research on Straw-Based High-Quality Energy in China under the Background of Carbon Neutrality . | ENERGIES , 2022 , 15 (5) . |
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Abstract ：
Existing studies of financing efficiency concentrate on capital structure and a single external environment or internal management characteristic. Few of the studies include the internal and external financing environments at the same time for hydrogen energy industry financing efficiency. This paper used the data envelopment analysis (DEA) model and the Malmquist index to measure the financing efficiency of 70 hydrogen energy listed enterprises in China from 2014 to 2020 from both static and dynamic perspectives. Then, a tobit model was constructed to explore the influence of external environment and internal factors on the financing efficiency. The contributions of this paper are studying the internal and external financing environments, and integrating financing cost efficiency and capital allocation efficiency into the financing efficiency of hydrogen energy enterprises. The results show that, firstly, the financing efficiency of China's hydrogen energy listed enterprises showed an upward trend during the years 2014-2020. Secondly, China's hydrogen energy enterprises mainly gather in the eastern coastal areas, and their financing efficiency is more than that in western areas. Thirdly, the regional economic development level, enterprise scale, financing structure, capital utilization efficiency and profitability have significant effects on the financing efficiency. These results can promote the achievement of "carbon neutrality" in China.
Keyword ：
hydrogen energy hydrogen energy financing efficiency financing efficiency tobit model tobit model DEA model DEA model Malmquist index Malmquist index
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| GB/T 7714 | Chi, Yuanying , Xiao, Meng , Pang, Yuexia et al. Financing Efficiency Evaluation and Influencing Factors of Hydrogen Energy Listed Enterprises in China [J]. | ENERGIES , 2022 , 15 (1) . |
| MLA | Chi, Yuanying et al. "Financing Efficiency Evaluation and Influencing Factors of Hydrogen Energy Listed Enterprises in China" . | ENERGIES 15 . 1 (2022) . |
| APA | Chi, Yuanying , Xiao, Meng , Pang, Yuexia , Yang, Menghan , Zheng, Yuhao . Financing Efficiency Evaluation and Influencing Factors of Hydrogen Energy Listed Enterprises in China . | ENERGIES , 2022 , 15 (1) . |
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Abstract ：
Under China's current Renewable Portfolio Standards (RPS) policy system, the provincial power grid is the assessment subject, and then the assessment is conducted on the user side. However, in the centralized clearing power market, renewable energy (RE) consumption on the user side cannot be accurately identified, so accurate value transmission cannot be formed to guide users to optimize their electricity consumption behavior. To improve this problem, this paper identifies the irreplaceable role of users in RE consumption through time series simulation. We construct a three-layer RPS assessment value transmission model of "power grid company - retailers - users" based on the identified unique contributions of each user. The equilibrium state of multi-market participants is obtained based on the decentralized training framework of reinforcement learning. The following conclusions are drawn through simulation analysis:(1) the user-side RE contribution identification method can effectively identify the user's contribution to RE consumption, which can reduce about 8% or increase about 7.48% of RPS cost allocation according to different contribution degrees; (2) the RPS value allocation mode can optimize users' power consumption behavior, achieve peak shaving and valley filling, promote RE consumption, and reduce about 0.6% of the abandoned wind power; (3) Under the RPS system, the effect of improving the response-ability of the user-side is better than increasing the RPS target and the peak shaving capacity.
Keyword ：
Demand side response Demand side response Renewable portfolio standards Renewable portfolio standards Renewable energy consumption Renewable energy consumption Reinforcement learning Reinforcement learning
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| GB/T 7714 | Hu, Yu , Chi, Yuanying , Zhao, Hao et al. The value allocation model of renewable portfolio standards considering the contribution of renewable energy consumption on the demand side [J]. | JOURNAL OF CLEANER PRODUCTION , 2022 , 380 . |
| MLA | Hu, Yu et al. "The value allocation model of renewable portfolio standards considering the contribution of renewable energy consumption on the demand side" . | JOURNAL OF CLEANER PRODUCTION 380 (2022) . |
| APA | Hu, Yu , Chi, Yuanying , Zhao, Hao , Zhang, Mengwan , Zhou, Wenbing , Yuan, Yongke . The value allocation model of renewable portfolio standards considering the contribution of renewable energy consumption on the demand side . | JOURNAL OF CLEANER PRODUCTION , 2022 , 380 . |
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Abstract ：
For sustainable agricultural development, increasing efforts are put on promoting agricultural mechanization and green agricultural development all over the world. Based on the panel data of Chinese provincial agriculture from 2002 to 2018, the System Generalized Method of Moments model and mediation model are constructed to explore the paths of agricultural mechanization affecting green agricultural development. The results show that agricultural mechanization can not only promote the green agricultural development directly but also indirectly by transferring the agricultural labor force and increasing fertilizer input. However, because of the surge of pesticide demand, agricultural mechanization also leads to serious pollution indirectly. With the development of large-scale agricultural machinery, the direct promotion of agricultural machinery on green agricultural development will be more significant. However, it will be less efficient to substitute more agricultural labor force with machinery power. The problem of pesticide abuse will also become more serious. Therefore, it is important for green agricultural development to encourage human capital investment in agricultural mechanization. In addition, more attention should be paid to improving the input efficiency of fertilizers and pesticides so that agriculture will be sustainable in production and the ecological environment.
Keyword ：
path analysis path analysis agricultural mechanization agricultural mechanization large-scale agricultural machinery large-scale agricultural machinery green agricultural development green agricultural development
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| GB/T 7714 | Chi, Yuanying , Zhou, Wenbing , Wang, Zhenyu et al. The Influence Paths of Agricultural Mechanization on Green Agricultural Development [J]. | SUSTAINABILITY , 2021 , 13 (23) . |
| MLA | Chi, Yuanying et al. "The Influence Paths of Agricultural Mechanization on Green Agricultural Development" . | SUSTAINABILITY 13 . 23 (2021) . |
| APA | Chi, Yuanying , Zhou, Wenbing , Wang, Zhenyu , Hu, Yu , Han, Xiao . The Influence Paths of Agricultural Mechanization on Green Agricultural Development . | SUSTAINABILITY , 2021 , 13 (23) . |
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Abstract ：
In the context of the carbon neutrality target, carbon reduction in the daily operation of the transportation system is more important than that in productive activities. There are few travel services that can quantify low-carbon travel, with a lack of effective low-carbon travel tools to guide transportation behavior. On-demand access to taxi services can effectively reduce the additional carbon emissions caused by cruising, which in turn increases efficiency in urban mobility with a reduced taxi fleet scale. For individual taxis, they lack macroscopic horizon in their choice of passenger pickup paths. The selected travel path based on personal operational experience or real-time location is limited by local optimization when making path decisions. In this work, we proposed a macro-path recommendation method to assist the taxi pickup path selection to accelerate the transformation of the taxi system towards low-carbon sharing. First, an adaptive learning spatiotemporal neural network was used to predict the coarse-grained distribution of potential trips. Next, the trajectory sharing graph was constructed based on the potential trips distribution to reallocate the taxi orders for the continuous pickup path optimization. As a result, the continuous pickup path balanced the relation between travel demands and taxi supply, improving the economic and environmental benefits of taxi operation and contributing to the goal of carbon neutrality. We conducted experiments on the Chengdu city ride-hailing dataset. Compared with the current status of taxi operations, the solution shows improvements in both the scale of taxi services and order gain.
Keyword ：
path recommendation path recommendation low-carbon travel low-carbon travel taxi demands prediction taxi demands prediction order assignment order assignment sharing network sharing network
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| GB/T 7714 | Chang, Mengmeng , Chi, Yuanying , Ding, Zhiming et al. A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context [J]. | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2021 , 10 (12) . |
| MLA | Chang, Mengmeng et al. "A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context" . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10 . 12 (2021) . |
| APA | Chang, Mengmeng , Chi, Yuanying , Ding, Zhiming , Tian, Jing , Zheng, Yuhao . A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2021 , 10 (12) . |
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