What is the goal of national regulation of algorithms in China? What algorithm regulations have the state implemented based on autonomy and capacity to realize these goals? How can the results of algorithmic regulation by the state be evaluated? Regarding these research questions, this paper intends to make the following arguments. There are two national goals of algorithm regulation. First, algorithms relate to the important interests of everyone in the social context. In particular, the state seeks to protect users (consumers) by regulating algorithms. In addition, the state intends to secure user support and social stability by protecting users. Second, in the ever-increasing hegemonic war with the United States, China is aiming for national security and social stability both inside and outside. However, at the global level, hegemonic countries and large platforms promote hegemony through algorithms. This is because the country recognizes that algorithms can be a risk to national security or social stability at the global level or within China. Since the end of 2020, the state has already shown the state's autonomy and capabilities in big tech by implementing high-intensity regulations on big tech. The state's autonomy and capabilities were also exercised in the regulation of algorithms. It shows the state's regulatory performance on algorithms in the fields of legislation, law enforcement supervision, and jurisdiction.

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This paper analyses the efficiency of the FDI manufacturing industries from 2003-2021 using the BCC model and the Malmquist index in both static and dynamic terms. And this paper divides the FDI manufacturing industries from 2003-2021 into two periods, the before period is the completion of the corporate income tax reform 2003-2012, and the after period is the completion of the corporate income tax reform 2013-2021. From a static perspective, the average of technical efficiency in 2003 was 0.686, the average of pure technical efficiency was 0.700 and the average of scale efficiency was 0.983. The average technical efficiency in 2021 is 0.773, the average pure technical efficiency is 0.842 and the average scale efficiency is 0.923. The average technical efficiency of the industries in 2021 is higher than the average technical efficiency of the industries in 2003, mainly due to the improvement in the average pure technical efficiency of the industries. Most of the FDI manufacturing industries in 2003 and 2021 have low levels of technical efficiency and pure technical efficiency. From a dynamic perspective, the average Malmquist index for 2003-2012 is 1.035, with a 3.5% increase in the efficiency of the FDI manufacturing sector. the average Malmquist index for 2013-2021 is 1.002, with a 0.2% increase in the efficiency of the FDI manufacturing sector. This indicates a better improvement in efficiency in the period before the completion of the corporate income tax reform than in the period after the completion of the corporate income tax reform. The average Malmquist index for the 23 industries in the manufacturing sector from 2003-2021 is 1.019, indicating a 1.9% increase in efficiency in FDI manufacturing industries. Efficiency increased in 19 of the 23 industries and decreased in 4 industries between 2003 and 2021, indicating that efficiency in most of China's FDI manufacturing industries is increasing.

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With the recent gradual disappearance of the Covid-19, the catering industry, which was heavily hit during the COVID-19 period, urgently needs to adjust its business strategies. This is crucial for improving business profits, recovering customers, and maintaining long-term competitiveness. Therefore, this study focuses on Haidilao, a well-known Chinese restaurant chain that was relatively less affected by the COVID-19 pandemic. By combining literature and case analysis, the study examines the internal and external environment and competitiveness faced by Haidilao. The analysis results show that Haidilao has significant advantages in terms of company size, product quality, service quality, and employee management. In the post-COVID-19 era, Haidilao faces intense competition from competitors, but it is expected to gain more opportunities rather than threats. Furthermore, this study provides insights into improving the competitiveness and development strategies of food service companies in both South Korea and China.

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China under Xi Jinping has become uncertain and unpredictable. And as if the recent economic situation, global political turmoil has also worsened. In this situation, we need to understand China's perception and perspective, especially the policy makers' group, and further gauge their important policy-making directions based on it. Based on these practical needs and lack of domestic and foreign research, this paper examined China's collective learning system and analyzed the current status and contents. The overall configuration is as follows. This Paper examined the background and purpose in Chapter 1, the historical development and meaning of collective learning system in Chapter 2. Chapter 3 and 4 considered the current status and meaning of collective learning system during Xi Jinping era. At the end, Chapter 5 summarized Chapter 2~4 and tried to present its meaning and implications.

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This article predicts the 3rd Xi Jinping administration’s policy on the Korean Peninsula through the review of South Korea-China, North Korea-China relations over the past decade and China’s policy factors on the Korean Peninsula. Over the past decade, Korea-China relations have exposed their vulnerabilities, experiencing from the best relationship to the worst ties. South Korea and China are working to restore relations. On the other hand, relations between North Korea and China went through a process of restoring relations from the strained ties. There are three factors - intensifying competition between the U.S. and China at the system level, the worsening trend situation on the Korean Peninsula, and China’s continuation of diplomacy as a Great Power that will affect the 3rd Xi Jinping administration’s policy toward the Korean Peninsula. Considering the relationship between Korea-China and North Korea, which was led by the first and second governments of Xi Jinping and factors that affect China’s Policy toward the Korean Peninsula, first, the 3rd Xi Jinping administration’s policy on the Korean Peninsula will work in a framework of competition between the U.S. and China. Second, China’s conciliation and pressure on Korea are expected to continue repeatedly. Third, China will maintain its denuclearization stance on North Korea, but focus on maintaining stability on the Korean Peninsula. In the face of intensifying competition between the U.S. and China, The ROK-US alliance strengthening strategy of the Yoon Suk Yeol government requires a clear and agile alternative to how it can coexist with the strategic cooperative partnership with China.

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Recently, major countries have emphasized the development of high-tech manufacturing industries to sustainable economic growth and preempt technology hegemony in the era of the 4th industrial revolution. Moreover, at a time when global protection trade stocks are intensifying and China's technology-intensive industry export competitiveness is strengthening, it is important to identify the global position of Korea's high-tech material parts industry and come up with measures to enhance export competitiveness. Therefore, this paper compared and analyzed the export competitiveness of the high-tech material parts industry, focusing on related-significant countries. The results of the study are as follows: The export competitiveness of related-significant countries is high in the order of Market share: China(23.2%), the US(8.1%), Germany(6.0%), Korea(5.8%), Japan(3.9%), TSI: Korea(0.32), China(0.11), Germany(0.01), Japan(-0.30), the US(-0.30), RCA: Korea(1.86), China(1.72), Japan(1.00), the US(0.92), Germany(0.74), EXPY: Korea(119.75), China(110.48), Japan(63.44), the US(60.16), Germany(50.23), HHI: Korea(2,456), Japan(2,393), Germany(2,264), the US(2,024), China(1,929), ESI: China(0.98), Japan(0.56), the US(0.52), Germany(0.42). The implications derived based on the analysis are as follows. First, it is necessary to focus on developing industries in which product advancement is rapidly progressing. Second, it is necessary to reduce the concentration of specific items by diversifying the fields of the high-tech material parts industry. Third, as global semiconductor hegemony competition is intensifying, it is necessary to prepare measures to build stable supply chains and enhance technology capabilities. To this end, active efforts should be made to diversify importing countries, diplomatic efforts of the government, R&D support to increase the localization rate, and human resource development.

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Voice behavior has been demonstrated its important value in Organizational innovation and improvement of organizational competitive advantage. However, the final effect of advice depends on whether the content of advice is accepted by leaders. So it is necessary to analyze the factors that influence leaders’ voice endorsement use through empirical research and give suggestions for the direction of continued development of organization. 327 employees and 69 leaders in Chinese enterprises were used to analyze the reliability and validity, correlation, path, mediation and moderation by SPSS25.0 and Mplus8.3. The results of this study show that, firstly, implicit voice delivery has a positive effect on leaders’ voice endorsement; secondly, leaders’ perceived status threat mediates the relationship between implicit voice delivery and leaders’ voice endorsement; thirdly, authoritarian leadership not only negatively moderates negative relationship between implicit voice delivery and leaders’ perceived status threat, but also moderates the mediating effect of leaders’ perceived status threat. The theoretical and practical implications of these findings are discussed.

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This paper reveals that China's international development cooperation as a method of literature research and case study is in line with the SDGs proposed by the UN. Although China’s international development cooperation started later than other OECD DAC countries, the adaptation of the development process and cooperation method in the field of international development cooperation has Chinese characteristics, and its purpose and purpose are quite consistent with OECD DAC's ODA. In particular, case studies demonstrate that China's recent cooperation in developing ASEAN is underway within the large framework of SDGs proposed by the United Nations. The international community is conducting international development cooperation in various ways in various fields, but it is generally focused on fully solving the development problems of the global community, such as society, economy, and environment emphasized by the UN’s MDGs and SDGs. Some international communities criticize China’s international development cooperation because it does not fully match the ODA method carried out by OECD DAC countries, but from the perspective of SDGs, China's international development cooperation is easier to accept in the recipient country. This study analyzes the current status of China’s international development cooperation and changes and causes in various fields before and after SDGs, focusing on ASEAN countries, and explains and analyzes the current 17 goals and requirements of China’s international development cooperation and SDGs through cases. The ASEAN region was a key target of China’s international development cooperation for geopolitical reasons. In particular, after the announcement of SDGs, China’s international development cooperation has become rich in content and diversified in form through The Belt and Road Initiative, promoting joint development between China and the ASEAN region. The achievements of China’s development cooperation with ASEAN will continue to expand its scope. Therefore, I am confident that China’s international development cooperation can be expanded to follow-up studies in Africa, Latin America, and other regions through an analysis framework called SDGs.

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