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This paper examines the impact of China's neo-mercantilist policies on its semiconductor industry. China strategically employs a neo-mercantilist approach to enhance its technological capabilities and strengthen its position in the global semiconductor sector. The research method used in the paper is qualitative. The study analyzes the multifaceted strategies encompassing industrial policies, trade practices, and technological advancements to understand their contributions to the industry's growth and resilience. It also explores how this growth benefits China's economy and highlights the role of economic factors in shaping political partnerships. The findings demonstrate that China's neo-mercantilist policies have played a pivotal role in fostering the development of its semiconductor sector through targeted industrial policies and trade practices. The emphasis on technological advancements has reduced dependence on foreign technology and enabled the production of high-quality semiconductors domestically. The semiconductor industry's growth in China has positively impacted the economy, contributing to job creation, increased exports, and enhanced economic competitiveness. Moreover, the paper highlights the importance of economic factors in driving political partnerships, as China's semiconductor industry growth has facilitated collaborations based on mutual economic interests.

In China, as in the Soviet Union and Eastern Europe, economic reform initiatives seek to increase productivity by introducing elements of market-oriented policies and institutions into an economy formerly dominated by state planning. Efforts to evaluate the impact of reform of Chinese industry have focused on the measurement of productivity change in state enterprises. This study expands the prior framework of analysis in several directions. Our investigation of productivity trends is not limited to state enterprises but includes quantitative comparisons with China's fast-growing collective industries, which contributed 36% of overall industrial output in 1988.1 Unlike previous studies, our analysis works with gross rather than net output. This permits us to investigate changes in the productivity of intermediate inputs, which occupy a large portion of total costs in Chinese industry, as well as labor and capital. To do this, we develop a "quasi-frontier" estimation procedure which seems appropriate for comparisons of total factor productivity based on Chinese industrial data. Finally, we offer a quantitative perspective on the extent to which reform efforts have moved industrial resource allocation toward patterns expected of a market system. The analysis confirms our previous finding, based on a restricted framework employing only labor, fixed capital, and net output, that multifactor productivity in state industry has risen substantially during

Technological advancements dictate the productivity growth in all industries, including extractive ones. In the peculiar case of metallic mineral industries, this growth is also impacted by the natural variation in the metal content and chemical composition of the ore input, in the course of cumulative extraction and depletion of resources. Through a disaggregated treatment of productivity data achieved by using the input-output data on subprocesses of copper production and correlating them with input characteristics (ore grade), this study identifies and evaluates the impacts of the periodic changes in the natural input, as well as those of the technological progress, while reasonably controlling the influence of the other unrelated factors. This provides an objective assessment of the manner and extent of mitigation of the impact of the depletion-driven changes in the natural inputs of the said industry, through technological advancements. It reveals that the continuous and incremental developments in technology, successfully offset the detrimental effects of depletion on the copper sector productivity, often aided by the geological characteristics that changed to the miners’ advantage. However, the impact of depletion stands to outweigh the gains from innovative technologies, as soon as the ores breach a minimum threshold level of purity or chemistry. This study thus establishes the usefulness of productivity studies in estimating the impacts of depletion that may not proceed in strictly sequential and uni-directional manner. More importantly, it shows that the impacts are neither uniform nor linear and are not always detrimental to productivity growth. Though the study is primarily based on copper industry, the findings hold relevance for other metal industries too.

Background/Purpose: The electric vehicle (EV) has gained a lot of attention from researchers in the twenty-first century as a green travel tool, leading to a series of in-depth studies. With the advancement of high-capacity batteries and electric vehicles, the value of electric vehicles will skyrocket, posing new problems to the power grid's safe and stable operation. This article briefly discusses a certain area of electric vehicles, such as government legislation, employability options, market trends, problems, and solutions to connected issues. Objective: The growth of the vehicle industry and its progress toward the government of India's "Make in India" mission for electric vehicles, as part of the National Electric Mobility Mission Plan to set up dominance in the automobile industry. Design/Methodology/Approach: Presentation of information collected from various scholarly articles, web articles, and analysis using the SWOC framework. Findings/Results: Based on the analysis of facts and figures and also by looking at the various scenarios of expansion of the electric vehicle industry in India, it is seen that this industry has seen considerable growth and progress in various avenues such as creating employment opportunities and country's economy. Few recommendations are also suggested to take the concept further. Research limitations/implications: The study is limited to the electric vehicle industry, though a total of 25 Industry sectors have been identified under ‘Make in India’. Originality/Value: This paper focuses on the growth of the electric vehicle industry and the factors that helped towards making ‘Make in India’ a reality. It also talks about the support given by Government to achieve the same. Paper Type: A Research Case study paper on the growth and dominance of the electric vehicle Industry and realization of the ‘Make in India’ concept.

Based on China's rapid industrial growth and unbalanced structural development, this article selects the gross output value of China's three industries and the gross domestic product as the empirical data to calculate the the generalized gray correlation of China's three industries and economic growth, to analyze the contribution degree of China's industry to economic growth. The results indicate that there is a strong correlation between secondary industry and economic growth in China, and it reveals that China's economic growth was mainly driven by secondary industry, which provide a reference for China's industrial structure adjustment and the formulation of industrial policy.

Developing low-carbon economy is an inherent requirement for China's sustainable development, and digital economy is an important engine for China's economy to reduce carbon emission intensity in the new development stage. Identifying the industrial evolution law of China's digital economy is helpful to diagnose its development opportunity, tap the ‘green potential’ and provide strategic support for the digital economy to play the low-carbon effect. Based on the data of China's digital industrialization and industry digitization from 2001 to 2020, the development level of China's digital economy industry was analyzed by logistic curve estimation, and the evolution stage of China's digital economy industry was determined by the characteristic points of the curve. The results showed that, before 2008, China's digital economy industry was in the germination period; from 2009 to 2035, China's digital economy industry is in the period of accelerating growth; from 2036 to 2062, China's digital economy industry will be in the mature stage; after 2062, it will enter a period of decline. The above analysis results are basically in line with the requirements of China's ‘strategic plan to become a high-income country by 2035’ and ‘strategic goal of achieving carbon neutrality by 2060’. Finally, according to the carbon emission reduction development demand of China's digital economy in the ‘growth period’, it is pointed out that it is urgent for China to continue to promote the construction of digital infrastructure, achieve green digital technology innovation, improve the social digital literacy level and increase the proportion of renewable energy application.

"This study examines the impact of fossil fuels consumption, renewable energy use and industrial growth on carbon emissions in the developing economies of Latin America and the Caribbean. An industrial growth index is developed using competitive industrial indicators, and a two-step system generalized method of moments robust estimator is employed, involving a panel of 16 middle- and lower-middle-income economies for the period 1990 to 2015. The empirical results show an Inverted-U shaped relationship between economic growth and carbon emissions and confirm the existence of the environmental Kuznets curve for the region. The results indicate that industrial growth and consumption of fossil fuels are significantly contributing to carbon emissions in the region. The results highlight that, based on competitiveness in manufacturing and the transition from simple to sophisticated technologies, advance technology-based industrial growth increases the potential to produce goods competitively with lower carbon emissions. The findings suggest that such advanced industrial growth is unavoidable to attain sustainable economic growth. Thus, technological ad-vancement and consumption of renewable energies have the potential to both meet the rising demand for goods and energy and to control carbon emissions in the developing countries of Latin America and the Caribbean."

This scholarly paper comprehensively analyses the global Liquefied Natural Gas (LNG) market, delving into its multifaceted dynamics and future prospects. The study's background establishes the increasing global importance of LNG, driven by its role in the contemporary energy mix and the evolving landscape of energy production and consumption. The paper aims to dissect current trends, challenges, and opportunities in the LNG market, focusing on its historical evolution, technological advancements, environmental sustainability, economic factors, and geopolitical influences. The paper synthesizes peer-reviewed literature through a meticulous methodology to ensure a broad and in-depth coverage of the subject. The scope encompasses a detailed exploration of the historical milestones of the LNG industry, its role in the energy mix, the impact of technological innovations, and the interplay of environmental, economic, and regulatory factors. The study also scrutinizes the influence of geopolitical dynamics on the global LNG trade. The main findings reveal that technological advancements have significantly reshaped LNG production and distribution, enhancing efficiency and sustainability. Environmental considerations emerge as pivotal in the industry's evolution, with a clear need to balance economic growth with ecological preservation. The economic analysis underscores market volatility influenced by global trade dynamics and geopolitical shifts, highlighting the sector's sensitivity to international events. The paper recommends a strategic focus on innovation, sustainability, and geopolitical engagement to foster the LNG industry's growth. It emphasizes the necessity for adaptive regulatory frameworks and investment in renewable energy infrastructure to support LNG's expanding role in the global energy landscape.

With the continuous growth of China's economy, marine economy plays an increasingly important role in the national economy. This study quantifies multiplier effects and supply-side dynamics in China's marine economy (2017-2023) to inform sustainable development strategies. Combining the Ghosh model, employment analysis, and structural path analysis (SPA), we enhance traditional input-output frameworks with LSTM neural networks to capture nonlinear sectoral interdependencies. Key results reveal marine tourism as the dominant contributor to value added (44.346%), gross output (48.87%). Marine fishery exhibits the highest direct employment coefficient (0.42681), while marine mining drives significant indirect job growth (coefficient: 0.35072) in related industries. Marine transportation ranks first in income multiplier (8.60929) andemployment multiplier (3.0332), highlighting its pivotal role in household income. By innovatively integrating the Ghosh model with LSTM, this research overcomes static and linear limitations of conventional methods, providing policymakers with actionable insights for balanced sectoral development through optimized resource allocation and infrastructure investment.

Exploration and construction of fiscal and taxation policies to promote the development of marine circular economy

PurposeThis paper aims to review prior studies and presents a synthesis of the takeover prediction literature spanning the period 1968–2018.Design/methodology/approachThe paper adopts a narrative review approach. It explores prior studies on takeover target prediction from a historical perspective, focusing on the evolution and development of the literature over the 50-year period.FindingsFrom a historical development perspective, prior studies in the area can be partitioned into four distinct eras. Studies in the first era (1968–1985) mainly established that takeover targets share common characteristics which can be captured with financial ratios. Studies in the second era (1986–2002) developed and extended formal target prediction hypotheses. These studies concluded that it was impossible to build a successful investment strategy around takeover target prediction. Studies in the third era (2003–2009) explored similar questions using alternative modelling techniques but arrive at similar results – targets can be predicted with limited accuracy and target prediction is unlikely to lead to abnormal returns. Studies in the fourth era (2010–2018) explore implications of M&A predictability on share valuation, governance and bond prices (amongst others), but most importantly, provide some evidence that takeover prediction can lead to abnormal returns when combined with appropriate screening strategies.Originality/valueThis presents the first in-depth review of the literature on takeover target prediction. It highlights the development of the literature over four distinct eras and identifies several limitations, research gaps and opportunities for future research. Given the recent decline in the literature (i.e. fourth era), this study may stimulate new research in the area.

is shown as a time-specific and spatially heterogeneous process. The description of industrialization uses two concepts along a functional/temporal and a spatial dimension: Technology clusters, i.e., a set of interrelated technological, institutional and social innovations, drive particular (historical) periods of industrial output and productivity growth. A spatial taxonomy reflects the different degrees of development and intensiveness of industrialization among core, rim, and periphery. In an inductive approach, industrial growth is described through the prism of changes in technology clusters and the spatially heterogeneous diffusion of industrialization on a global scale. Industrialization paths are discussed on the basis of the USA, Western Europe, Russia and Japan. The quantitative description focuses on macro-level indicators of industrial output, and the evolution of the productivity of factor inputs labor and energy. Energy intensiveness and carbon emissions are used as metric to assess changes in the environmental impacts of various industrialization paths, concluding that improvements in the efficiency of factor input use are part of the inherent incentive structure of industrial evolution. However, historical improvement rates will have to be considerably accelerated to lower absolute levels of industrial emissions. Finally, the implications of industrial productivity growth and its distribution in the form of rising incomes (consumption) and free time (leisure) are discussed inter alia from an environmental perspective.

Innovation and economic growth in the mining industry: Evidence from China's listed companies

This paper has charted the dynamic evolution of Shenzhen's lithium-ion battery (LiB) industry through four distinctive stages, thereby elucidating the complex interplay between industrial growth, policy interventions, and technological advancements. The framework illustrated not only the vital role of resource pool at each stage of the LiB industry's evolution but also underscored how shifts in industry trends reciprocally influenced the structure of resource pool. In the first stage, the nascent LiB in Shenzhen was driven by local companies, operating on a traditional manufacturing model based on public knowledge. It benefited from the urban development advantages of Shenzhen, including its strategic location, industrial structure, and supportive government policies, setting the stage for subsequent evolution. The second stage marked the formation of a comprehensive industry chain, encompassing both upstream and downstream sectors, driven by the increasing demand for LiBs and the proliferation of consumer electronics manufacturing in Shenzhen. The expansion was not just in capacity but also in the scope, fostering a more interconnected and resilient industry ecosystem. The third stage witnessed a strategic shift from low value-added consumer electronic batteries to high value-added power batteries, propelled by national policy guidance and increased R&D investments. This shift was crucial in transitioning from conventional consumer electronics batteries to more sophisticated and lucrative energy solutions for automotive and industrial uses. The current stage, the fourth, is characterized by continuous innovation, talent development, and an emphasis on synergistic innovation between universities and enterprises. The establishment of intermediary organizations helped to promote the integration of resources and standardized division of labour within the innovation ecosystem. Throughout these stages, Shenzhen's LiB industry has navigated through varying challenges and opportunities, demonstrating remarkable adaptability and resilience. The LiB industry has continually responded to changes in the resource pool, adjusting interaction mechanisms to catalyse growth and innovation. Meanwhile, transformations in the industry have informed resource pool establishments, creating a dynamic feedback loop.

With the rapid development of media economy, knowledge payment marketing strategy plays an increasingly important role in all areas of life. From the perspective of media economy, it is particularly important for the survival and development of future enterprises to analyze the online knowledge paid marketing mode and improve the online knowledge paid marketing skills. Knowledge payment is a form of sharing and communication, which refers to a process in which knowledge disseminators transfer different skills and intellectual resources on a public or specific platform through network payment. From the perspective of media economics, the future pay for knowledge marketing model should focus on strengthening knowledge service, establishing and improving user response mechanism, coordinating offline resources, strengthening Internet interactive operation of knowledge community and ultimately optimizing the source of paid knowledge. This paper makes a detailed analysis and Research on the common modes of knowledge payment, hoping to bring new inspiration and new ideas to the marketing mode of the company.