Investment In Industry Research Articles

Implementing multi criteria decision making methods for computing complexity involved in industrial investment castings

Investment casting is admired for its ability to produce industrial castings with remarkable precision, exceptional exterior finish and complex designs among diverse industrial application. Traditionally, the complexity of these castings is generally assessed qualitatively while quantitative measurement of this complexity remains largely unexplored. To identify the various parameters that affects the complexity of industrial investment casting, an in-person industrial survey was carried out in one of the major investment casting clusters that accounts for nearly 25% of India’s investment casting foundries. Through this survey it was found that complexity of investment casting is determined by three factors related to geometry, features and manufacturability. These three factors are further driven by 19 elements and 52 attributes. These 52 attributes are further characterised by 212 meta-attributes. This research focuses on applying multi-criteria decision-making methods to quantify the complexity affects in manufacturing industrial investment castings. Numerous methodologies within the domain of Multi-Criteria Decision-Making (MCDM) have been explored to determine the appropriate weightage for the factors, elements, attributes and meta-attributes involved. It was observed that for the specific problem mentioned, the Weighted Criteria Approach (WCA) and Analytical Hierarchy Process (AHP) were identified as suitable choices, aligning well with the required level of accuracy. The result obtained through these methods were used to compute the complexity of industrial castings. The proposed complexity index was validated using various industrial castings and proved to be a valuable tool for designers in adopting investment casting process for producing complex castings.

Factors of China's positional technological leadership in the global digital innovation market

Subject. This article considers the development of digital technologies as a condition for achieving economic leadership in a global context. Objectives. The article aims to analyze the reasons for China's leadership in the world innovation market. Methods. For the study, I used the methods of comparative and structural analyses. Results. The article finds that China's leadership in the development of the digital economy is due to the attractiveness of the digital industry for foreign and domestic investment, the availability of a developed information and communication infrastructure, including for households, financial and legislative support for the digitalization of the economy at the government level, and the stimulation of the development of large high-tech companies. Conclusions. China is the country that has the most favorable environment for the development of the digital economy. China's practices can be used to develop the market for digital solutions in the Russian economy.

Investing In High Technology: Strategies for International Financial Markets

With the development of the world, the connection between the international financial market and the high-tech industry is becoming increasingly close. The innovation and development of the high-tech industry has not only promoted the adjustment and upgrading of the global economic structure, but also injected new vitality and opportunities into the international financial market. The theme of the research is to explore investing strategies of the high technology industry in the international financial market. Through the collection and analysis of relevant literature, the selection of typical cases for in-depth research, the processing and analysis of the collected data. After research, we have come to the following main results, the development trend and prospects of the high-tech industry have great development potential. Changes in the international financial market will have an important impact on investment in the high-tech industry. Investors investing in high-tech industries in the international financial market need to develop effective investment strategies and methods. This study argues that investment in the high-tech industry is of great strategic significance in the context of the international financial market. Investors should pay close attention to the development trends and prospects of the high-tech industry, as well as the changes in the international financial market, and formulate effective investment strategies and methods.

Investment Value Analysis of Leading Enterprises in the New Energy Vehicle Industry - Taking Li Automobile, XPeng Automobile, and BYD Automobile as Examples

Against the backdrop of rapid development in the emerging industry of new energy vehicles, China has also introduced some new policies to promote the further development of the new energy vehicle industry. Therefore, this measure has enhanced the confidence of investors in investing in the new energy vehicle industry. This article mainly takes Li Automobile, XPeng Automobile, and BYD Automobile, the leading enterprises in China's new energy vehicle industry, as examples to analyze how investors can maximize their investment in the new energy vehicle industry. This article mainly uses the risk indicator Beta in the CAPM model to analyze the risk level of three stocks and uses the DuPont analysis method to analyze the profitability of the three stocks. Finally, it is concluded that BYD Automobile and Li Automobile are relatively valuable investment stocks among these three stocks, while XPeng Automobile needs to further optimize the company's profit structure to achieve strong profitability.

Warren Buffett and Berkshire Hathaway's Recent Investment Strategy Changes and the Reasons for the Corresponding Risk Measures

With the development and changes of the world economy, the size of the global securities market is gradually increasing, and the investment methods available for citizens to choose from are becoming more diverse. Stocks, as one of the most important investment methods, have also received increasing attention from investors. After experiencing a slow economic recovery, the distribution of global stock and securities markets is also constantly expanding. In recent years, the global ETF market has crossed new milestones, with a scale exceeding $11 trillion for the first time, showing an unstoppable development trend, reflecting the recovery and growth of the global securities market after experiencing the financial crisis. In addition, global stock indices have generally risen. Especially for assets that are lagging behind in 2023, it shows an upward trend in the global securities market after entering 2024. Due to the continuous changes and maturity of the economic landscape and securities market, it has brought huge social dividends and increased investor willingness. As an outstanding representative in the fields of stock and securities investment, Buffett's investment ideas and strategies have been highly valued by the general public. Therefore, studying typical cases of Buffett's investments has a guiding significance. This article will analyze Buffett's investment preferences and performance from 2023 to the first half of 2024, starting from the current international background and combining Buffett's value investment philosophy. It will provide reference suggestions for investment industry practitioners and regulatory agencies.

Algorithmic futuring: predictive infrastructures of valuation and investment in the assetization of edtech

ABSTRACT Futures of education are increasingly defined through predictive technologies and methods. We conceptualize ‘algorithmic futuring’ as the use of data-driven digital methods and predictive infrastructures to anticipate educational futures and animate actions in the present towards their materialization. Specifically, we focus on algorithmic futuring in the education technology investment industry, and the role of predictive infrastructures of valuation and investment in the assetization of edtech. Edtech investment actors make predictions based on the calculated future asset value of digital technologies. Methods and narratives of algorithmic futuring produced through predictive infrastructures are intended to render an assetized future of education seemingly attractive, attainable, and actionable. Our analysis foregrounds three forms of algorithmic futuring practised by an edtech investment organization: forecasting targets; managing uncertainty; and provoking assetization. Each has significant impacts on what futures are put into motion in the present, and exploit a gap in public investment in edtech futures.

Exploring the impact of environmental regulations and green innovation on corporate investment and cash management: evidence from Asian economies

PurposeThis study explores the complex interaction of environmental policies on corporate cash and capital investment decisions.Design/methodology/approachThe study utilizes a 10-year dataset from 2010 to 2019, comprising publicly listed firms from 10 prominent Asian countries. The analysis was conducted by employing the System GMM.FindingsThe regression has revealed that most of the business investments are negatively affected by environmental regulation (ENR), while green innovation (GNI) is positively significant to investments. Moreover, we indicated that ENR raises the cash balance, while GNI tends to reduce it. There was a strong negative correlation found between cash reserves and investment; this implies a crowding-out effect: excess liquidity dilutes the propensity for capital expenditure. The findings emphasized cash balances as a moderator in the relationship between environmental policies and investments. More specifically, maintaining greater cash reserves is an insulating mechanism against the otherwise damaging impact of stringent ENR on corporate investment decisions and a protective measure for financial soundness against external environmental stress.Practical implicationsIt is especially important considering the heterogeneous effects obtained across high-income, upper-middle-income and lower-middle-income countries, responding differentially to environmental policies. The results show support for a balanced integration of fiscal incentives, subsidies or tax credits, especially in lower-middle-income countries, to promote sustainable practices without imposing prohibitive compliance costs.Originality/valueThe current analysis supplements the new insights regarding the transformation channel of environmental policies into industrial investment and how cash holdings diversify this channel.

Understanding sustainable investments: an empirical study of best-in-class mutual funds

PurposeThis research aims to examine mutual funds investment behavior to further understand the dynamics of sustainable investments in the global marketplace and their evolution. Sustainable investing is increasing in the market due to (1) its performance, (2) the investors' criteria and (3) the companies' interest in contributing to sustainable development.Design/methodology/approachTo explore this area, we evaluated Morningstar's best-in-class funds, that is, five-star rated in profitability and five globes in sustainability, while adding rankings such as Sustainalytics to further test the performance against ESG criteria. To test the hypotheses, we used regression statistics to find correlations between quantitative and qualitative factors such as diversification of the investments per sector and region or fund category.FindingsThe results show that funds invested in different sectors, such as technology and healthcare, contributed to an increase in the overall profitability of the fund, while investments in other industries were less profitable. The contribution of this study is based on empirical data that shows why and how ESG investments are growing based on their market evolution.Originality/valueThis study aims to advance knowledge of SRI investment, profitability and market growth, particularly by showing sustainable investment dynamics per industry (e.g. Technology) and regions (e.g. Europe) which not only favor future investments but also sustainable economic growth.

Project management and partner banking as tools for the recovery concept in Ukraine

The main purpose of this study is to investigate the effect of project management and partnership banking. Due to the shortage of investment, Ukraine always needs to plan for financial resources. All over the world, partnership banking is becoming an increasingly common and attractive type of investment in projects. In the conditions of modern Ukraine, with the need to restore industrial and infrastructure construction projects, one can predict significant growth in the construction services market and the need for investment. In this study, the ways of possible increasing investment in the construction industry have been discussed based on the use of a logical-structural approach in project management and partnership banking as a source of investment.

GIS-based modeling of the environmental vulnerability of the Amazon region to the upstream oil and gas activities

ABSTRACT To improve the security of investors in the petroleum industry and to bestow transparency and reliability to its licensing process, the Brazilian Government has recently implemented a Strategic Environmental Assessment (SEA) to evaluate the potential environmental effects of oil and gas exploration and production activities before the concession of areas. To provide robustness to SEA’s analysis stage, this paper aims to propose an innovative methodological approach to map the environmental vulnerability of the area under study, considering selected environmental receptors. This approach combines two techniques, one analytical and the other spatial: environmental risk analysis and spatial analysis. To better illustrate it, this paper presents a case study of the Solimões Sedimentary Basin. Findings show that the approach was able to indicate the more suitable areas inside the SEA region for the development of the O&G upstream activities, as well as to map the vulnerability of each analyzed environmental receptor, to the complete chain of activities, from the exploration for resources until the decommissioning of facilities. This hybrid technique proved to be suitable to the levels of detail required by SEAs and may allow the Government’s goals with it to be achievable, including the environmental issues earlier, in its sectorial PPPs.

Japan's legal framework for copyright protection of AI‐generated works: A comparative law analysis exploring the possibility of Japan's adoption of the UK legislative approach

AbstractThis paper examines the legal policy for copyright protection of artificial intelligence (AI) generated‐works that are autonomously created by AI models without a human's creative process in Japan from the perspective of a comparative law analysis between Japan and the United Kingdom. In summary, this paper concludes that the legal policy‐making approach for copyright protection of AI‐generated works within the framework of Japanese copyright law should involve: (a) addressing concerns about legal consistency through careful selection of a legislative measure; and, therefore, (b) directing the focus of legal policy discussions towards considerations of legal eligibility, moving beyond discussions on legal consistency. This entails an analysis of the strict necessity for copyright protection of AI‐generated works within the prevailing social environment in Japan. First, the focal point of the legal eligibility discussions should focus on a possible loss of market demand for human creations and necessity of social defence to human creations (social defence function for human creations logic) in Japan. In addition, based on the social incentive protection theory, it should be emphasised that the second purpose of incorporation of copyright protection for AI‐generated works under Japanese copyright law is to promote future Japanese industry's investment in AI technologies (AI industry's investment promotion logic), which will indirectly contribute to the cultural advancement in society (Berne Convention's cultural advancement logic). The author expects that the conclusion presented in this paper will accelerate more intensive social scientific analysis work on legal eligibility of the legal policy for copyright protection of AI generated‐works.

Impact of non-financial listed companies' investment in wealth management products on industrial investment efficiency and R&D expenditure: A dual effect analysis

This study explores the impact of Chinese A-share non-financial listed companies' investment in wealth management products on their industrial investment efficiency between 2012 and 2022. The results indicate that such investments notably reduce current industrial investment efficiency, contributing to underinvestment, yet paradoxically enhance industrial investment in the subsequent period. Additionally, the allocation of wealth management products crowds out industrial investments, resulting in inefficient capital allocation. Notably, the redirection of funds from industrial activities to wealth management also adversely affects the investment efficiency of real enterprises, particularly by displacing R&D expenditures.

International Advanced Development Territories as a New Source of Investment Opportunities

In the new political and economic realities, the key tasks for Russia are to maintain sustainable development trends in all regions, ensure smooth functioning of economic mechanisms, and increase the country’s technological sovereignty. Solving these tasks requires the provision of resources, including investment resources. The reduction of investment opportunities in European markets leads to the need to compensate and seek new sources of investment in Asia-Pacific markets. This requires the expansion and renewal of investment attraction tools. In the article the authors analyze the experience of the regions of the Russian Far East in the use of territories of advanced development to attract foreign investment. The competitive advantages of the five sites in the Far East regions identified by the government for the creation of international advanced development territories have been high-lighted. It also characterizes the institutional framework, names the features of the model of international territories of advanced development, substantiates the necessity, defines the conditions for implementation of the legislative initiative of the Government of the Russian Federation on creation of a new format of preferential treatment. The authors believe that its institutionalization will contribute to the increase of investments in high value-added industries, expansion of high-tech production, which will strengthen the country’s technological leadership. The authors have made a conclusion about the regularity and objectivity of trends in the expansion of tools for attracting investment in the economy of regions and the country as a whole.

Analysis of Industrial Performance Indicators Effects On Enhance The Competitiveness of The Food Sector and The Possibility Of Support in The Iraqi Economy (2003-2020)

This study was aimed on analyze the competitiveness of the food industry sector, and showed the level of industrial and competitive performance of these industries, and the possibility of supporting and enhancing their competitiveness in the Iraqi economy for the period 2003-2020. Competitiveness is considered one of the most important indicators of the efficiency of the food industry tool in local and foreign markets, as competitiveness represents the ability of productive sectors of different types to distribute their products and increase their sales level. Therefore, the food industry in Iraq is considered one of the most important sectors of the manufacturing industries that suffer from problems and obstacles including a decrease in the level of competitive and industrial performance. It is believed that the problem of the research is the weak competitiveness of the food industry in Iraq due to the decline in the quality of manufactured products and the weak level of competitiveness of these products compared to imported products. The results of the study showed a decrease and fluctuation in the contribution of the manufacturing sector to the gross domestic product (GDP) in Iraq. The economic policy was not providing the possibility of an investment climate to support and enhance the private sector in industrial investment. The indicators of production requirements such as labor productivity, worker productivity, and the value added index of the food industries sector began to fluctuate between decrease and increase, and to measure the extent of the reciprocal effects between all parts of the standard model and the extent of its contribution to developing the competitive capacity of this sector.

The Growth of Cross‐Border Regions Toward “Two Countries, One Park”: A Case Study of the Mohan–Boten Cross‐Border Cooperation Zone

ABSTRACTCross‐border regions have been the frontier areas of regional and subregional cooperation, the development of which involves the interaction of multiple scales and various agents. Existing studies focus mainly on cross‐border economic cooperation but pay less attention to issues such as urban construction and community development, which may lead to the neglect of the interests of local communities in the development of cross‐border regions. Based on a case study of the Mohan–Boten Cross‐border Cooperation Zone (CCZ), this study argues for the integrated development toward “Two Countries, One Park” through the functional integration of urban planning, industrial investment, public services, and community development. The study finds that the success of the “Two Countries, One Park” pattern relies on the coordination of multi‐scalar governance and multi‐agent cooperation, whereas the “scale paradox” caused by the asymmetric distribution of power and responsibility among different governance scales and the relevant agents is a major hindrance to functional integration and cross‐border cooperation. Addressing the “scale paradox” is, therefore, crucial for successful cross‐border development.

THE RELATIONSHIP OF STATE INVESTMENTS IN THE SECTOR OF ССI AND THE LEVEL OF COMPETITIVENESS OF THE ECONOMY

The article examines the relationship between public investment in the creative and cultural industries (CCI) sector and the level of competitiveness of the national economy. This study examines the influence of state-sponsored initiatives, including innovative projects, cultural programmes and creative start-ups, on a country's global economic competitiveness. It is established that investments in the cultural and creative industries have a dual impact on the national economy. Firstly, they facilitate the development of the cultural and educational spheres. Secondly, they have a significant impact on GDP growth, job creation, increase in export potential and attraction of foreign investment. Particular attention is paid to the mechanisms of interaction between the public and private sectors for the effective implementation of investment programmes in the field of CCI. The article examines the various financing models and institutional approaches that can ensure the sustainable development of creative industries. A substantial portion of the study is dedicated to an examination of international experiences with regard to investment in cultural and creative industries. In particular, the European Union, the United Kingdom, the United States, and the countries known as the "Asian Tigers" are taken as case studies. Based on a comparative analysis of these cases, the most effective instruments for supporting investments in the CCI sector and their impact on the competitiveness of national economies are identified.

Exploring the Impact of Institutional Innovation in Free Trade Zones and Free Trade Ports on Cultural Exchange and Soft Power Construction

This paper explores how institutional innovations in Free Trade Zones (FTZ) and Free Trade Ports (FTP) promote cultural exchange and soft power construction. Through a systematic literature review and policy analysis, it is found that institutional innovations in FTZs and FTPs, including relaxed restrictions on foreign investment in the cultural industry, streamlined approval processes for cultural exchange activities, the establishment of diverse cultural exchange platforms, and optimization of cultural talent introduction policies, effectively enhance the depth and breadth of international cultural exchange. These efforts have significantly improved China’s cultural soft power. A case study of the Hainan Free Trade Port demonstrates how proactive cultural policy innovations have led China to achieve notable success in international cultural exchanges, offering new ideas for global soft power competition. This study provides reference recommendations for future policy formulation and academic research, especially in optimizing cultural policies in FTZs and FTPs to further enhance cultural soft power.

Design of Digital Economy Industry Investment Decision Support System Based on Fuzzy Comprehensive Evaluation Method

Design of Digital Economy Industry Investment Decision Support System Based on Fuzzy Comprehensive Evaluation Method

Forecast of consumption of natural gas in U.S. based on time series analysis and ARIMA model

Natural gas is a widely used fossil fuel, playing a vital role in both industrial and economic sectors. As a widely used fossil fuel, the prediction of natural gas consumption is crucial for industrial and economics and hence many scholars have been researched on the topic. Due to the weather variation and the sensitivity of industrial demand, a precise consumption forecast is difficult. In the article, ARIMA model, a widely used model in time series analysis and forecasts would be considered in the prediction for consumption for future one year. It turns out that, in the next year, the consumption of natural gas in the coming year is stable and will stay at a still level and the overall trend of the series is increasing, with no significant short-term fluctuations. Therefore, the article suggested that long-term investment in industries related to natural gas is recommended. Besides, short-term investment is not suggested compared to the long-term due to the still level of the consumption within one year.

Capital investment, digital economy and innovation of high-tech industries

This study investigates the spatial spillover effect of high-tech industrial innovation and the possible nonlinear relationship between capital investment, the digital economy, and high-tech industrial innovation. We constructed a spatial Durbin model and a semiparametric spatial lag model based on the panel data of 30 provinces in China from 2000 to 2021. Results indicate a positive spatial spillover effect of high-tech industrial innovation in China's provincial regions, characterized by regional heterogeneity. The partial derivative of physical capital to high-tech industrial innovation exhibited a U-shaped relationship. The Research and development(R&D) capital to high-tech industrial innovation derivative had a linear relationship. However, partial derivatives of human capital and the digital economy to high-tech industrial innovation exhibited fluctuations in the early phase and stable afterward. Thus, we propose that the superior regions of high-the industrial innovation should continue to drive the disadvantaged regions, forming the echelon development mode of high-tech industrial innovation.