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Petroleum Science 2024年第4期21卷 2892-2900页

作者： Bing-Jie Xu Yi-Fei Shen Hui Qiao Zhi Gao Faculty of business City University of Macau Rural development institute Chinese Academy of Social Sciences school of Marxism Shenzhen Polytechnic University

This study aims to analysis the influence of economic growth(EG) and energy consumption(EC) on sulfur dioxide emissions(SE) in China. Accordingly, this study explores the link between EG, EC, and SE for 30 provinces in China over the span of 2000-2019. This study also analyzes cross-sectional dependence tests, panel unit root tests, Westerlund panel cointegration tests, Dumitrescu-Hurlin(D-H) causality tests. According to the test results, there is an inverted U-shaped association between EG and SE,and the assumption of the Environmental Kuznets Curve(EKC) is verified. The signs of EG and EC in the fixed effect(FE) and random effect(RE) methods are in line with those in the dynamic ordinary least squares(DOLS), fully modified ordinary least squares(FMOLS) and autoregressive distributed lag(ARDL)estimators. Moreover, the results verified that EC can obviously positive impact the SE. To reduce SE in China, government and policymakers can improve air quality by developing cleaner energy sources and improving energy efficiency. This requires the comprehensive use of policies, regulations, economic incentives, and public participation to promote sustainable development.

关键词： SO 2 emissions economic growth Energy consumption EKC China

The coordinated evolution of ecological environment,public service,and tourism economy along the Silk Road economic Belt,using the Dual-Carbon Targets

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Chinese Journal of Population,Resources and Environment 2024年第1期22卷 34-47页

作者： Shuo Yang Wei Guo Tianjun Xu Tongtong Liu school of economic and Management Yanshan UniversityQinhuangdao 066004China Regional economic development Center Yanshan UniversityQinhuangdao 066004China

Carbon peak and carbon neutrality(dual-carbon)are important targets for the international response to climate *** Silk Road economic Belt is a strategic resource region and is important for future ecological environment and tourism *** on the“dual-carbon”targets,the Single index quantification,Multiple index synthesis,and Poly-criteria integration evaluation model were used in this study to measure the coordinated development index of the ecological environment,public service,and tourism economy along the Silk Road economic Belt and to analyze its spatial and temporal ***,it explores the dynamic evolution and development trend of the three systems using the Kernel Density and Grey Markov Prediction *** results show that the coordinated development index along this region needs to be improved during the study ***,the coordinated development index of the Southwest region is relatively higher than that of the Northwest *** the development trend of the three systems,all of them develop in a stable manner;however,the tourism economy system is easily affected by external *** coordinated development index of the three systems changes dynamically and tends to be in a good state of *** is a certain spatial and temporal *** gravity center of the coordinated development index has been in the Southwest *** the forecast period,the coordinated development index along this region will improve significantly,while insufficient and unbalanced development will continue.

关键词： Dual-carbon Ecological environment Public services Tourist economy Silk Road economic Belt

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Global Value Chain Participation and Firms'Responses to Exchange Rate Fluctuations

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China & World Economy 2024年第5期32卷 53-86页

作者： Chun Jiang Fuwei Sun Zhida Zhang Center for economic development Research Wuhan UniversityChina economics and Management school Wuhan UniversityChina

Greater participation in global value chains(GVCs)has highlighted the impact of exchange rate shocks on international *** paper examines how such participation influences firms'responses to exchange rate movements,focusing on the relationship between firms'pricing and value-added in *** study,using detailed Chinese firm-level data,demonstrates that firms with a high degree of GVC participation reacted to currency appreciation by lowering their export prices more substantially and reducing their export volumes *** is mainly attributable to the"cost-hedging effect"within the marginal cost channel and the"pricing inhibition effect"within the markup *** categorizing export firms by trade models and product types,this study further demonstrates that processing trade firms at the low end of the value chain and those with low product differentiation were more inclined to absorb exchange rate *** study adds to the existing theoretical framework and provides strong evidence for China in deepening GVC integration and supporting the development of high-quality export firms.

关键词： exchange rate elasticity exchange rate fluctuations exchange rate pass through firm response global value chain participation

Study of inter-well interference in shale gas reservoirs by a robust production data analysis method based on deconvolution

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Petroleum Science 2024年第4期21卷 2502-2519页

作者： Wen-Chao Liu Cheng-Cheng Qiao Ping Wang Wen-Song Huang Xiang-Wen Kong Yu-Ping Sun He-Dong Sun Yue-Peng Jia school of Civil and Resource Engineering University of Science and Technology Beijing PetroChina Research institute of Petroleum Exploration and development

In order to overcome the defects that the analysis of multi-well typical curves of shale gas reservoirs is rarely applied to engineering, this study proposes a robust production data analysis method based on deconvolution, which is used for multi-well inter-well interference research. In this study, a multi-well conceptual trilinear seepage model for multi-stage fractured horizontal wells was established, and its Laplace solutions under two different outer boundary conditions were obtained. Then, an improved pressure deconvolution algorithm was used to normalize the scattered production data. Furthermore, the typical curve fitting was carried out using the production data and the seepage model solution. Finally,some reservoir parameters and fracturing parameters were interpreted, and the intensity of inter-well interference was compared. The effectiveness of the method was verified by analyzing the production dynamic data of six shale gas wells in Duvernay area. The results showed that the fitting effect of typical curves was greatly improved due to the mutual restriction between deconvolution calculation parameter debugging and seepage model parameter debugging. Besides, by using the morphological characteristics of the log-log typical curves and the time corresponding to the intersection point of the log-log typical curves of two models under different outer boundary conditions, the strength of the interference between wells on the same well platform was well judged. This work can provide a reference for the optimization of well spacing and hydraulic fracturing measures for shale gas wells.

关键词： Shale gas Inter-well interference Deconvolution Production data analysis Typical curves Multi-stage fractured horizontal well

Application of sparse S transform network with knowledge distillation in seismic attenuation delineation

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Petroleum Science 2024年第4期21卷 2345-2355页

作者： Nai-Hao Liu Yu-Xin Zhang Yang Yang Rong-Chang Liu Jing-Huai Gao Nan Zhang school of Information and Communications Engineering Xi'an Jiaotong University school of Software Engineering Xi'an Jiaotong University PetroChina Research institute of Petroleum Exploration and development (RIPED) CNPC Research institute of Exploration and development Yumen Oilfield Company CNPC

Time-frequency analysis is a successfully used tool for analyzing the local features of seismic ***, it suffers from several inevitable limitations, such as the restricted time-frequency resolution,the difficulty in selecting parameters, and the low computational efficiency. Inspired by deep learning,we suggest a deep learning-based workflow for seismic time-frequency analysis. The sparse S transform network(SSTNet) is first built to map the relationship between synthetic traces and sparse S transform spectra, which can be easily pre-trained by using synthetic traces and training labels. Next, we introduce knowledge distillation(KD) based transfer learning to re-train SSTNet by using a field data set without training labels, which is named the sparse S transform network with knowledge distillation(KD-SSTNet).In this way, we can effectively calculate the sparse time-frequency spectra of field data and avoid the use of field training labels. To test the availability of the suggested KD-SSTNet, we apply it to field data to estimate seismic attenuation for reservoir characterization and make detailed comparisons with the traditional time-frequency analysis methods.

关键词： S transform Deep learning Knowledge distillation Transfer learning Seismic attenuation delineation

Bureaucratic Culture and Innovation

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China & World Economy 2024年第3期32卷 31-66页

作者： Shigang Li Kexin She Li Zhang International school of business and Finance Sun Yat-sen UniversityChina National school of development Peking UniversityChina International school of business and Finance Key Laboratory of Mesoeconomics and Coordinated Development of Regions and IndustriesSun Yat-sen UniversityChina

This study explores the effects of bureaucratic culture on *** define bureaucratic culture as a culture in which power and officials are held in the highest *** panel data of publicly listed Chinese manufacturing firms from 2007 to 2015,we found that bureaucratic culture negatively correlated with firms'patent output.A mechanism analysis shows that bureaucratic culture hindered corporate innovation by reducing firms'research and development inputs and decreasing innovation ***,we provided evidence that anti-corruption campaigns and the development of formal institutions could neutralize the negative impact of bureaucratic culture on corporate *** study is the first to investigate quantitatively the causal effect of bureaucratic culture on corporate innovation and it can deepen the understanding of the relationship between culture and innovation in *** speculate that promoting a creative culture,particularly one that fosters entrepreneurial spirit,is of utmost importance.

关键词： bureaucratic culture corporate innovation economic growth talent allocation

Analyzing the Dissemination of News by Model Averaging and Subsampling

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Journal of Systems Science & Complexity 2024年第5期37卷 2104-2131页

作者： ZOU Jiahui school of Statistics Capital University of Economics and Business

The dissemination of news is a vital topic in management science, social science and data science. With the development of technology, the sample sizes and dimensions of digital news data increase remarkably. To alleviate the computational burden in big data, this paper proposes a method to deal with massive and moderate-dimensional data for linear regression models via combing model averaging and subsampling methodologies. The author first samples a subsample from the full data according to some special probabilities and split covariates into several groups to construct candidate models. Then, the author solves each candidate model and calculates the model-averaging weights to combine these estimators based on this subsample. Additionally, the asymptotic optimality in subsampling form is proved and the way to calculate optimal subsampling probabilities is *** author also illustrates the proposed method via simulations, which shows it takes less running time than that of the full data and generates more accurate estimations than uniform subsampling. Finally,the author applies the proposed method to analyze and predict the sharing number of news, and finds the topic, vocabulary and dissemination time are the determinants.

关键词： Asymptotic optimality dissemination of news linear regression models model averaging optimal subsampling

A Structural Measurement of the Valuation Effect of China's External Assets:Method and Application

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China & World Economy 2024年第2期32卷 97-124页

作者： Guowei Cai Xiaowei Chen Xun Wang Lingnan College Sun Yat-sen UniversityChina China Center for economic Research National School of DevelopmentPeking UniversityChina

Existing research on the measurement of the valuation effect mainly follows the residual method proposed by Lane and Milesi-Ferretti(2001).This cannot be used to perform structural *** propose an aggregation approach rather than the residual method to measure structurally the investment flow and valuation effect of China's external *** results indicate that the valuation effect of China's external assets has been highly volatile and it was negative during the pandemic *** structural decomposition shows that portfolio investment and direct investment made the main contributions to the valuation *** impact of exchange rates on the valuation effect has generally been higher than that of asset price in terms of direct investment and total external assets but the opposite has been true for portfolio ***'s outward investments are currently more inclined to Asian countries and a few European countries but inflows to China still mainly come from developed countries.

关键词： external asset investment direction structural measurement valuation effect

How Does Government Procurement Promote Enterprise Innovation?-On the Synergy between Demand-Pull and Supply-Push of Innovation Policies

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Frontiers of economics in China-Selected Publications from Chinese Universities 2024年第1期19卷 1-29页

作者： SUN Wei YE Chusheng economics and Management school Wuhan UniversityWuhan 430072China Center for economic development Research(CEDR) Wuhan UniversityWuhan 430072China

The promotion of technological innovation in firms requires both the supply-push and the *** accurately identify,assess,and further enhance the incentive effects of the policies of government procurement for innovation in China,this paper uses the text analysis method to identify government procurement for innovation from more than 640,000 pieces of government procurement contracts and conducts an empirical analysis based on the data of China's A-share listed firms from 2015 to *** study finds that government procurement for innovation significantly promotes corporate innovation by increasing the expected market returns,reducing R&D uncertainty,and easing financing ***,local government procurement for innovation,central government procurement for innovation,and procurement for innovation by universities and research institutes bring more significant innovation incentives for firms;and government procurement for innovation generates stronger innovation incentives for firms in strategic and emerging industries,private firms,and small-and medium-sized *** analysis reveals that demandside innovation procurement and supply-side innovation subsidies generally have mutually reinforcing synergies on corporate *** policy synergies vary depending on the levels of corporate innovation and the orders of policy *** terms of the levels of corporate innovation,the two-sided policies has mutually complementary effects on innovation-leading firms and mutually exclusive effects on innovation-lagging *** the perspective of the orders of policy implementation,the strategy of supply-side subsidies first,and demand-side procurement second is more effective in promoting corporate innovation than the strategies of demand-side procurement first and supply-side subsidies second,and supply-side subsidies and demand-side procurement *** study helps deepen the understanding of demand-side innovation sup

关键词： government procurement government procurement for innovation corporate innovation innovationpolicy

Digital Twin Technology of Human-Machine Integration in Cross-Belt Sorting System

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Chinese Journal of Mechanical Engineering 2024年第2期37卷 195-212页

作者： Yanbo Qu Ning Zhao Haojue Zhang school of Mechanical Engineering University of Science and Technology BeijingBeijing 100083China institute of Microelectronics of the Chinese Academy of Sciences Beijing 100029China Wayzim Technology Co. LtdWuxi 214108China business school Beijing Technology and Business UniversityBeijing 100048China

The Chinese express delivery industry processes nearly 110 billion items in 2022,averaging an annual growth rate of 200%.Among the various types of sorting systems used for handling express items,cross-belt sorting systems stand out as the most ***,despite their high degree of automation,the workload for operators has intensified owing to the surging volume of express *** the era of Industry 5.0,it is imperative to adopt new technologies that not only enhance worker welfare but also improve the efficiency of cross-belt *** a balance between efficiency in handling express items and operator well-being is *** twin technology offers a promising solution in this respect.A realization method of a human-machine integrated digital twin is proposed in this study,enabling the interaction of biological human bodies,virtual human bodies,virtual equipment,and logistics equipment in a closed loop,thus setting an operating *** technologies in the proposed framework include a collection of heterogeneous data from multiple sources,construction of the relationship between operator fatigue and operation efficiency based on physiological measurements,virtual model construction,and an online optimization module based on real-time *** feasibility of the proposed method was verified in an express distribution center.

关键词： Industry 5.0 Cross-belt sorting system Human-machine integrated Digital twin Online optimization

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