Market Turnover Research Articles

A Detailed Examination of China’s Clean Energy Mineral Consumption: Footprints, Trends, and Drivers

As the global clean energy transition accelerates, China’s mining industry faces pressing challenges concerning the sustainable consumption of clean energy minerals. This study employed the EE-MRIO model to investigate the consumption trends of clean energy minerals across various provinces and industries in China from 2012 to 2017, specifically focusing on the resource footprints of copper, nickel, molybdenum, zinc, and cobalt. Using the random forest model, we identified the driving factors, with the goal of offering a solid scientific foundation for strategic decision making. Our findings reveal marked disparities in resource footprints among provinces, which are correlated with regional industrialization, urbanization trends, and resource reserves. Beyond the traditional resource-intensive sectors, industries like finance and real estate have significantly impacted the resource footprint. Monte Carlo simulations further validated the reliability of our model. The random forest analysis indicates that population size and energy consumption mainly determine the footprints of copper and zinc. In contrast, the footprints of nickel and cobalt are primarily influenced by technology market turnover, while molybdenum’s footprint is largely driven by population size and total carbon emissions. Drawing from these insights, we suggest several policy recommendations for clean energy mineral extraction. These include fostering inter-provincial resource collaboration, bolstering geological exploration and assessment, promoting technological innovation, advancing environmentally friendly mineral extraction techniques, and enhancing collaboration between urban planning and pivotal industries.

Job Satisfaction and the ‘Great Resignation’: An Exploratory Machine Learning Analysis

Labor market dynamics is shaped by various social, psychological and economic drivers. Studies have suggested that job quit and labor market turnover are associated with job satisfaction. This study examines the determinants of job satisfaction using a large survey dataset, namely the LISS Work and Schooling module on an extensive sample of persons from the Netherlands. To handle these big data, machine learning models based on binary recursive partitioning algorithms are employed. Particularly, sequential and randomized tree-based techniques are used for prediction and clustering purposes. In order to interpret the results, the study calculates the sizes and directions of the effects of model features using computations based on the concept of Shapley value in cooperative game theory. The findings suggest that satisfaction with the social atmosphere among colleagues, wage satisfaction, and feeling of being appreciated are major determinants of job satisfaction.

Regional sustainable and renewable energy development in China: A comprehensive assessment and influencing factors

In order to address regional energy imbalances, it is necessary to assess Sustainable and Renewable Energy (SRE) development and to explore its influencing factors. However, existing literature only focused on one part of the aforementioned solutions, and remained controversial, especially in China. Based on provincial panel data from 2005 to 2020 in China, this study utilized the information entropy method to construct a comprehensive evaluation system for regional SRE development, and a panel model with fixed effects was established, with this composite score as the dependent variable, and with economic, demographic, environmental, and technological factors as independent variables. The results showed regional SRE development deepened from the western to the eastern part of China, and over time. The empirical evidence indicated that the significant positive predictors of SRE development were disposable income per capita, dependency ratio, urbanization rate, railroad mileage, and technology market turnover while the value added of secondary sectors had a significant negative impact on SRE development. No empirical evidence supported the significant association between chemical oxygen demand emissions and SRE development. The founding can provide data support and theory references for policymakers of energy sectors.

Effects of House Flips on Local Housing Transactions

This study explores the possible impacts of short-term house trades, often called “house flips,” on local housing markets. Using nationally representative data across multiple U.S. housing markets during 2000–2013, we test the Spillover Hypothesis and the alternative Competition Hypothesis for the influences of flips on the neighborhood non-flip house transactions. We find that the local flip tendency, our measurement for local flip activity, is negatively associated with the holding durations of neighborhood houses experiencing non-flip resales, and positively associated with their resale prices, after we control for market conditions that affect both flip and non-flip transactions as well as other potential determinants for holding duration and price. The effects are generally more prominent when the local flip tendency is measured for a longer run, supporting the Spillover Hypothesis. These effects are also persistent regardless of whether the local flip tendency is defined as the proportion of flips in the local resales by transaction number or by transaction volume, or whether it is measured continuously or discretely. The results also hold when we endogenize the local flip tendency, or when we change the neighborhood size. These findings demonstrate the substantial influences of flip activities to the local housing market turnover and price movements.

FINANCIAL INCLUSION IMPLICATIONS ON THE LIQUIDITY OF THE NIGERIAN CAPITAL MARKET

The objective of this study was to examine the implications of financial inclusion on capital market liquidity in Nigeria. Therefore, we applied Vector Autoregression (VAR) technique to the analysis of the quarterly time series data obtained from Central Bank of Nigeria’s statistical bulletin and World Development Indicators for the period, 2008Q1 to 2018Q4. Findings of this study reveal that deposit penetration, bank penetration and credit penetration have positive but non-significant impact on stock market turnover ratio in Nigeria. Furthermore, unlike deposit penetration which exerts negative and non-significant influence on the value of shares traded ratio; bank penetration and credit penetration have positive but non-significant impact on the value of shares traded ratio in Nigeria. The study posits that financial inclusion exerts no significant influence/implications on stock market liquidity in Nigeria with a very negligible variation in the latter (stock market liquidity) explained by the former (financial inclusion). It is therefore recommended that accounts and bank penetrations should be re-engineered towards their translations to high volume and value of capital market transactions rather than mere financial penetration without any capital market implications in Nigeria.

Agricultural land turnover in Ukraine: New challenges and new opportunities

The experience of the market turnover of agricultural land in Ukraine has shown that untimely and insufficiently comprehensive analysis of the functioning of the land market can lead to incorrect conclusions and limit the understanding of its dynamics and impact on the country’s economic situation. The purpose of the study was to identify the main trends and indicators of the market turnover of agricultural land in Ukraine by analysing land ownership transactions. The methodological tools of the problem under study were general scientific and special methods, as well as the method of comparison and abstract and logical methods. The main results of the study are a cost and quantitative assessment of transactions of sale and purchase of ownership rights to agricultural land in Ukraine, which makes it possible to identify the main trends in the land market. Certain provisions can be used to formulate strategies for the development of land relations in Ukraine. The number and share of transactions involving the sale and purchase of ownership rights to agricultural land in the overall structure of transactions is determined. The area of land ownership rights to which were alienated through sale and purchase is determined. The author calculates the value of agricultural land depending on its remoteness from a settlement, regional location and designated purpose. Fluctuations in the value of arable land depending on their territorial location and in the overall dynamics by month are determined. The level of activity of agricultural land market participants in the country as a whole and by regions is determined. The results and trends in the market turnover of agricultural land in the territories where military operations were or are ongoing are investigated. The main key indicators of the market turnover of agricultural land are determined. Forecasts of the value of arable land in Ukraine by the end of 2023 are formed. The discrepancy between the Ukrainian model of agricultural land market turnover and the models operating in the European Union has been established. The results of the study can be used to develop ways to reorient the market turnover of agricultural land to the European principles of functioning aimed at the development of family farming as a fundamental goal of Ukraine’s agricultural policy

Design of Web-Based Digital Marketing Application Using CodeIgniter to Increase Seller Turnover in Ciroyom Market

Expired goods are the condition of a product that is no longer suitable for consumption or use because it has a high risk of causing poisoning for people who consume it or use it. For sellers, especially in traditional markets, there is no way or system to be able to inform goods that are approaching expiration and are still fit for sale, so it can result in goods that are approaching expiration simply being thrown away. The purpose of this study is to develop a digital marketing application design for frozen preparations that are almost expiring to increase trader turnover in the Ciroyom market. The research method used is experimental and descriptive research methods. The system development methodology used is Waterfall. The results of this study explain that digital marketing applications of near-expired frozen processed products in the Ciroyom market have been analyzed by existing sales procedures, which we then developed to overcome the emerging drawbacks of near-expired product sales. This digital marketing application can overcome some of the problems with selling frozen preparations that are about to expire. This digital marketing application can sell merchandise that is almost expired online so consumers can see what items are available.

Study on Spatial-temporal Pattern and Influencing Factors of Coupling Coordination between Ecological Environment and Regional Economy under High-quality Development: A Case Study of the Yangtze River Economic Belt in China

Studying the relationship between ecological environment and economy (EERE) development in the Yangtze River Economic Belt (YREB) is the realistic requirement to realize the modern economic system in the region, and is of great significance for promoting the high-quality development (H-QD) of China’s economy. In this study, a comprehensive evaluation index system of EERE from the perspective of H-QD was constructed. Besides, the entropy method, the coupling coordination model and the Tobit model were adopted to explore the H-QD, spatial-temporal coupling relationship and influencing factors of EERE of 11 provinces and municipalities in the YREB in the period 2008-2018. The results show that temporally, the coupling coordination degree (CCD) between EERE in the region rises in fluctuations. Spatially, the CCD is high in the lower reaches and low in upper reaches, but the spatial gap gradually narrows with the passage of time. Among the influencing factors, GDP growth rate and other factors have an inhibitory effect on the CCD, while technology market turnover, fiscal expenditure and total import and export volume exert a promoting effect on it. On this basis, some countermeasures and suggestions are put forward to enhance the coordinated development of EERE.

Investor sentiment, stock returns, and the dependence between their quantiles: evidence from G7 countries

ABSTRACT This study uses a quantile-on-quantile regression framework to establish a link between investor sentiment proxied by market turnover and stock returns in G7 countries. The QQ analysis results reveal that the impact of investor sentiment on future stock returns is asymmetric and varies across quantiles of stock returns and sentiment. Overall, a significantly negative relationship is observed for all G7 countries. Interestingly, when the market is very bullish, and investors are pessimistic, investor sentiment positively influences future returns, except for Japan.

Research on Marketing Strategy Optimization Based on Financial Big Data

The rapid rise of financial big data has brought subversive changes to the traditional financial field. Both traditional financial companies and emerging internet companies are eager to join the era of financial big data. The emerging consumer finance companies of industrial departments and mutual financial departments have used the Internet thinking, but their marketing strategies have caused problems such as large initial investment and poor results in a short time. If commercial banks want to keep up with the times, they must conduct in-depth research on the market, constantly innovate and enrich their own wealth management products, and design matching wealth management products according to the individual needs of different customers, thus improving the market turnover rate. This paper summarizes financial big data, analyzes the financial marketing strategies of commercial banks under the background of financial big data, and finally puts forward the optimization measures of marketing strategies based on financial big data, hoping to help promote the healthy and sustainable development of the financial industry.

Pengaruh Kepemilikan Investor Institusi Asing Terhadap Volatilitas Harga Saham di Indeks Kompas100

This journal investigates the effect of foreign institutional investor ownership on share price volatility with a sample of 207 companies between 2008 and 2021 that are included in the Kompas100 Index. The empirical results of this study indicate that foreign institutional investor ownership reduces share price volatility in Indonesia with control variables: market capitalization, turnover, leverage, and market to book. In addition, we also document the results of research that the greater the market capitalization of a company, the lower the volatility of its share price and foreign investors increase stock trading turnover in Indonesia because it attracts the attention of domestic investors, especially individual investors. Foreign institutional investors also prefer to invest in companies with a market to book rating that have a premium.

Industrial Robots and Regional Fertility in European Countries

In this study, we examine whether the long-term structural changes in the labour market, driven by automation, affect fertility. The adoption of industrial robots is used as a proxy for these changes. It has tripled since the mid-1990s in the EU, tremendously changing the conditions of participating in the labour market. On the one hand, new jobs are created, benefitting largely the highly skilled workers. On the other hand, the growing turnover in the labour market and changing content of jobs induce fears of job displacement and make workers continuously adjust to new requirements (reskill, upskill, increase work efforts). The consequences of these changes are particularly strong for the employment and earning prospects of low and middle-educated workers. Our focus is on six European countries: Czechia, France, Germany, Italy, Poland and the UK. We link regional data on fertility and employment structures by industry from Eurostat (NUTS-2) with data on robot adoption from the International Federation of Robotics. We estimate fixed effects linear models with instrumental variables in order to account for the external shocks which may affect fertility and robot adoption in parallel. Our findings suggest robots tend to exert a negative impact on fertility in highly industrialised regions, regions with relatively low educated populations and those which are technologically less advanced. At the same time, better educated and prospering regions may even experience fertility improvements as a result of technological change. The family and labour market institutions of the country may further moderate these effects.

Learning, Central Bank Conservatism, and Stock Price Dynamics

Abstract This paper studies how adaptive learning affects the interactions between monetary policy, stock prices and the optimal degree of Rogoff conservatism in a New Keynesian DSGE model with non-Ricardian agents whose heterogeneous portfolios generate a financial wealth channel of monetary transmission. A positive intergenerational portfolio turnover in the stock market could improve the dual-mandate central bank’s intertemporal trade-off allowed by learning and implies a positive weight on financial stability in the social welfare criterion. For plausible learning gains and turnover rates, a rise in the turnover rate could lead the central bank to reduce the aggressiveness in its policy needed to manage private beliefs if the learning gain is high enough. Both the distortion due to learning and the central bank’s lack of concern for financial stability could lead the government to appoint a liberal central banker, i.e. less conservative than society. A rise in the turnover rate implies a higher (lower) degree of liberalism for low (high) learning gains.

The financial Kuznets curve of energy consumption: Global evidence

In this study, we explore the simultaneous existence of a Financial Kuznets Curve -an inverted U-shape relation between financial development and energy consumption- and Income Kuznets Curve -an inverted U-shape relation between income and energy consumption-for a panel of 85 countries. In terms of the financial Kuznets relation, we compare the effects of three stock market development indicators (i.e., stock market capitalization ratio, stock market value traded, and stock market turnover ratio) with the counterpart effects of three credit market indicators (i.e., domestic credit provided by the banking sector, liquid liabilities, and broad money supply. Drawing on the existing literature, we control for changes in country openness, natural resource endowments, and inflation by applying four methods in parallel: the parametric analysis (dynamic system GMM), and the non-parametric (panel quantile regression) as a robustness check. The results for both Kuznets curves are robust to all four methods. They indicate a simultaneous existence of an income Kuznets curve and a Financial Kuznets Curve when the indicators of the stock market development are considered. However, no Financial Kuznets Curve exists with respect to the credit markets’ development. When the credit markets are considered, only the income Kuznets curve is detected. The existence of a relationship between the stock market development and energy consumption has implications for national energy policies. Stock markets should be used actively for the promotion and funding of “green finance” industrial projects, encouraging innovation and new technologies for cleaner production. Our findings are also useful for crafting different financial development policies for countries that are seeking to encourage or discourage energy consumption.

Is stock market development a spur to poverty reduction? Empirical evidence from selected sub-Saharan African countries

ABSTRACT In this study, the relationship between stock market development and poverty reduction is examined in sub-Saharan African countries during the period 1993–2019. Three proxies of stock market development were used, namely stock market capitalization, stock market traded value and stock market turnover ratio, thereby leading to three separate model specifications. A battery of panel data estimation techniques was used in the study to examine the existence of cross-sectional dependence. Furthermore, the second-generation panel unit root test and panel cointegration test were used alongside the first-generation tests to examine this linkage. Contrary to some of the previous studies, the results of the panel least squares, fully modified ordinary least squares and dynamic ordinary least squares show that stock market development has no significant impact on poverty reduction in sub-Saharan countries during the period under study. These results apply irrespective of the proxy used to measure the level of stock market development. The results were also corroborated by the heterogenous non-Granger causality test, in which a prima facie causal flow was found from poverty reduction to stock market development when stock market turnover ratio was used as a proxy. Policy implications are discussed.

Human capital pipelines – antecedents and consequences

PurposeThis paper aims to discuss the concept of human capital pipelines and explain how pipelines originate and the consequences of pipeline-based hiring in terms of labor market uncertainty, job embeddedness, social ties, homosocial reproduction, employee referrals and turnover intent.Design/methodology/approachThe author provides a viewpoint grounded on a review of recent research regarding human capital pipelines.FindingsThis paper aims at further developing our understanding of human capital pipelines and the implications of such practices. The author points out both the positive and negative aspects of pipeline-based hiring, with the hope that human resource practitioners and mangers will adopt such practices based on the organization’s strategic needs.Originality/valueTo date, very little conceptual and/or empirical work has been carried out on pipeline-based hiring. In organizations, it is important to understand how repeated hiring from labor sources can reduce labor market uncertainty regarding a job seeker’s quality and potential productivity. However, it is also crucial to appreciate that such practices may have important pre and posthire implications for organizations and employees alike.

THE STUDY OF GOVERNMENT POLICY ON STOCK MARKET DEVELOPMENT AND ECONOMIC GROWTH IN NIGERIA (1984-2020)

This study explored the relationship between stock market development and Nigerian economic growth. This was done to look at Nigeria's stock market and economic growth from 1984 to 2020. The analysis relied on secondary data. The Central Bank of Nigeria statistical bulletin for 2021 presented data on stock turnover ratio, stock market capitalization ratio, total value of shares exchanged ratio, all share index, and GDP. Granger causality, Augmented Dickey Fuller Unit root test, Johansen cointegration test, and error correction model were used to analyze the data. Granger causality was shown. There is no reverse causality between stock market development metrics such as stock market capitalization ratio, turnover ratio, or total value of shares exchanged ratio and economic growth. All share index, stock market capitalization ratio, turnover ratio, and economic growth were integrated of order 1, while total value of shares traded ratio was integrated of order zero, according to unit root test results. The Johansen cointegration test showed that the All-Share Index, Stock Market Capitalization Ratio, Turnover Ratio, and Economic Growth all have four cointegrating relationships. Changes in the all-share index have a positive and significant impact on changes in economic growth, whereas changes in the stock market capitalization ratio and its lag have a negative but insignificant impact on changes in economic growth (p>0.05). Changes in the turnover ratio have a positive but insignificant impact on changes in economic growth (p>0.05), while its lag has a negative but insignificant impact on changes in economic growth (p>0.05). Changes in lagged GDP have a positive and important effect on changes in economic present-period growth (p0.01), and economic growth and the independent variables in our model have a long-run relationship as indicated by the negative and statistically significant error correction term in the model (p<0.01). Based on the results, the study recommends that the Federal Government intervene through the Asset Management Corporation of Nigeria (AMCON)/Ministry of Finance Incorporated, that more indigenous quotable companies be encouraged to pursue listing by offering incentives such as tax holidays, tax rebates, and other incentives, and that stock broking firms be encouraged to join forces, either through mergers or outright acquisition amongst other recommendations.

ECONOMIC NATURE OF THE “BUBBLE” IN THE INTERNATIONAL REAL ESTATE MARKET

The article is aimed at studying the economic nature and origin of the real estate bubble, its financial and economic impact, and the relevant consequences and risks for international real estate markets. The article also notes that during the boom period, theincrease in supply is driven by the growth of demand for real estate from end users (the real sector of the economy), and during the bust period -by the growth of demand from investors. The oversupply in the market during the period of market saturation is largely due to the investment in real estate that preceded it during the boom. During this period, real estate is no longer seen as a real asset, but rather as a financial asset that generates income without regard to its connection to the real economy.This, together with rising household in-comes and increased mortgage lending, led to the emergence of real estate bubbles.A real estate bubble is defined as a sharp increase in prices and market turnover in the real estate market caused by a significant increase in demand (including speculative demand for the purpose of further sale). The factors contributing to the emergence of the real estate bubble have been identified as follows: sustained high rates of economic growth; high rates of growth of household incomes; increased availability of mortgage lending (lower requirements for borrowers); increased availability of construc-tion lending; and increased investment in real estate.

Current issues in application of classifiers for marketable products of coal in Russian market turnover and in export

Current issues in application of classifiers for marketable products of coal in Russian market turnover and in export

Investor Sentiment Measurement and Time Series Analysis

Investor sentiment is one of the destabilizing factors in the stock market. In the past, some scholars have proposed models for the measurement of emotions. On this basis, this paper selects 9 factors (closed-end fund discount rate, trading volume of the previous month, market turnover rate of the previous month, number of IPOs, first-day yield of IPOs, number of new investors opened accounts in the last month, Consumers Confidence index, Advance/Decline Line, Business Index of Macro-economic), and constructs the investor sentiment index through principal component analysis. Through statistical analysis of the index, it is found that it satisfies the conditions of a stationary time series, and a related formula is put forward. At the same time, the relationship between index and stock market is discussed.