Search results

Currently, there is a conflict in developing countries between the requirements for the self-development of forestry and the insufficient investment in the forestry sector, and the forest ticket system is an innovative forestry management method to solve this contradiction. In the research on the forest ticket system, the study of its price formation mechanism is relatively important. The key issues of the forest ticket system are how to form the forest ticket price and whether the forest ticket pricing methods are reasonable. Solving these problems is the purpose of this study.

This study will use three methods, namely the forest ecosystem service value evaluation index method, the ecosystem service value based on per unit area evaluation method and the contingent valuation method, to study the forest ticket price formation mechanism, filling the gap in the current research on forest ticket pricing methods. It will analyze how these three pricing methods specifically price the forest ticket and evaluate whether these pricing methods are reasonable. This study will then summarize and comprehensively study the forest ticket price formation mechanism and provide policy recommendations for decision-making departments.

The contingent valuation method and the forest ecosystem service value evaluation index method should be mainly used and given priority in the forest ticket pricing process. When the forest ticket is mainly issued for local residents' willingness to compensate for the forestry ecological value, the contingent valuation method should be mainly considered; when the forest ticket is mainly issued for compensating for the ecological value of local used forest land, the forest ecosystem service value evaluation index method should be mainly considered. The ecosystem service value based on per unit area evaluation method does not need to be the focus.

Compared with existing research studies, which focus more on the forest ticket system itself and the definition of forest ticket, this study mainly focuses on the forest ticket price formation mechanism, emphasizing how to form the forest ticket price and whether the forest ticket pricing methods are reasonable, which has a certain degree of innovation and research value and can partially fill the gap in related fields. At the same time, this study has certain help for the enrichment of the forest ticket system and the extension of related research studies.

This paper gives a model of collusion formation and a method of measuring the degree of it among the traders/bidders in the agricultural commodity markets in India. The important assumption is that the bidding is repetitive with a set of common bidders. The theory has been derived based on the behavior of the wholesale market of agricultural commodities in India. The paper is based on full information in the collusion formation. The paper first derives the theoretical structure of the bidders' behavior and thereafter derives a measure of collusion formation with the help of real-life data.

The paper used the standard theory of optimization and the theory of auction and probability statistics.

This is a complete information model of cartel formation. The bidding is repetitive and continues forever in discrete time. Hence bidders behavior is observable. Using the proposed method, if the APMC measures for each market and publishes on a periodic basis, say weekly basis, then it will be easier to break the collusion in the market where relative collision is present. For example, if a farmer has three options to sell in three different markets, then the published data would help them to select the market where the degree of collusion is relatively lower. Moreover, the undesirable loss can be avoided based on the right choice of market. As a result, transaction costs will be optima.

The paper first derives the theoretical structure of the bidders' behavior and thereafter derives a measure of collusion formation with the help of real-life data.

The aim of this paper is to test the existence of bubbles for the daily prices of cryptocurrencies Bitcoin and Ethereum and verify if there is a relationship between bubbles and volatility regimes.

The authors test the presence of bubbles with the generalized supremum augmented Dickey–Fuller (GSADF) test using critical values simulated by the bootstrap procedures of Gutierrez (2011), Harvey et al. (2016) and Pedersen and Schütte (2020). Also, the authors estimate Markov regime switching generalized autoregressive conditional heteroskedasticity model for these cryptocurrencies.

The GSADF test result indicates the presence of bubbles for both cryptocurrencies. Simulating critical values by wild-bootstrap, which is robust to non-stationary volatility, leads to the highest number of bubbles in both cryptocurrencies. In addition, based on the estimates of conditional variance models with regime changes, the authors find that the bubbles identified are associated with a regime of low returns volatility, indicating a change in the trade-off between risk and return when the prices of cryptocurrencies differ from their fundamental values.

To the best of the authors knowledge, there are no studies that test the explosive behavior for cryptocurrencies by the GSADF test using the bootstrap method to simulate critical values from the procedures of Harvey et al. (2016) or Pedersen and Schütte (2020). These bootstrapping procedures are robust to heteroscedasticity and avoid the detection of false bubbles. Further, the advantage of Harvey et al. (2016) procedure is the robustness to non-stationary volatility.

Integrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary data. However, traditional models have limitations in testing the spatial transmission relationship in time series, and the actual prediction effect is restricted by the inability to obtain the prices of other variable factors in the future.

To explore the impact of spatiotemporal factors on agricultural prices and achieve the best prediction effect, the authors innovatively propose a price prediction method for China's soybean and palm oil futures prices. First, an improved Granger Causality Test was adopted to explore the spatial transmission relationship in the data; second, the Seasonal and Trend decomposition using Loess model (STL) was employed to decompose the price; then, the Apriori algorithm was applied to test the time spillover effect between data, and CRITIC was used to extract essential features; finally, the N-Beats model was selected as the prediction model for futures prices.

Using the Apriori and STL algorithms, the authors found a spillover effect in agricultural prices, and past trends and seasonal data will impact future prices. Using the improved Granger causality test method to analyze the unidirectional causality relationship between the prices, the authors obtained a spatial effect among the agricultural product prices. By comparison, the N-Beats model based on the spatiotemporal factors shows excellent prediction effects on different prices.

This paper addressed the problem that traditional models can only predict the current prices of different agricultural products on the same date, and traditional spatial models cannot test the characteristics of time series. This result is beneficial to the sustainable development of agriculture and provides necessary numerical and technical support to ensure national agricultural security.

This study aims to outline the research field of initial public offerings (IPOs) pricing and performance by combining bibliometric analysis with a systematic literature review process.

The study uses over three decades of IPO publication records (1989–2020) from Scopus and Web of Science databases. An analysis of keyword co-occurrence and bibliometric coupling was used to gain insights into the evolution of IPO literature.

The study categorized the IPO research field into four primary clusters: IPO pricing and short-run behaviour, IPO performance and influence of intermediaries, venture capital financing and top management and political affiliations and litigation risks. The results offer a framework for delineating research advancements at different stages of IPOs and illustrate the growing interest of researchers in IPOs in recent years. The study identified future research potential in the areas of corporate governance, earning management and investor sentiments related to IPO performance. Similarly, the study highlighted the opportunity to test multiple theoretical frameworks on alternative investment platforms (SME IPO platforms) operating under distinct regulatory environments.

To the best of the authors’ knowledge, this paper represents the first instance of using both bibliometric and systematic review to quantitatively and qualitatively review the articles published in the area of IPO pricing and performance from 1989 to 2020.

This chapter offers a Marxist analysis of forms of value in capitalist economies, and their implications for accumulation, (in)stability, and economic policy. The study focuses on seven key categories: money, capital, credit, interest-bearing capital, fictitious capital, the domestic public debt, and macroeconomic management through monetary and fiscal policy. It argues, first, that there is an intrinsic tendency toward the growing complexity of value forms in capitalism. Its examination helps to locate the contradictions of accumulation at increasingly complex levels, and the emergence of specifically financial forms of instability. Second, state management of accumulation through fiscal and monetary policy and the domestic public debt are essential for the stabilization of the economy, but their effectiveness remains limited. Third, monetary and financial structures, their relationship with production, and capacity to stretch, transform, and (de)stabilize accumulation are historically and institutionally specific. Fourth, public policy can influence the level and composition of output and employment, and the distributional and other outcomes of accumulation. Examination of the capital relation from this angle can shed light upon the drivers and modalities of accumulation of real and financial assets, and the imperatives, forms, and limitations of state regulation of accumulation.

The purpose of this paper, therefore, is to amplify the imperativeness for a re-oriented regulatory approach that prioritizes constructive engagement with the regulated communities, harnessing the existing pool of savings and retention of market participation.

The paper adopts a doctrinal legal research design with data drawn from primary and secondary sources of law. The primary sources include case laws and statutes, and the secondary sources include book chapters, journal articles and other internet-sourced materials.

The paper finds that the status quo in Nigeria if left to continue would spell severe economic disaster for Nigeria’s securities administration, but a well-structured realignment of the regulations would boost the country’s securities market effectiveness.

The research’s conclusions and suggestions might only be applicable to Nigeria’s particular situation with regard to capital market development and securities regulation. Other nations or locations with distinct regulatory systems, market structures and economic situations may not be able to immediately adapt it. When extending the research results outside of the Nigerian environment, caution should be exercised. For regulatory agencies and policymakers, the research offers insightful suggestions. The analysis may pinpoint certain areas where policy changes are required to address reoccurring problems and improve the chances for a healthy capital market.

For Nigeria’s regulatory frameworks controlling securities to be strengthened, this paper would be crucial. To make sure they are in line with global best practices, this entails examining and revising current laws, rules and standards. A stronger regulatory environment may also result from the implementation of harsher enforcement procedures and consequences for noncompliance. It is also required for creating market infrastructure, fostering market integration and cooperation, facilitating access to capital, monitoring and evaluation. It would also benefit investor education and protection.

Addressing these persistent issues and potential remedies in Nigeria’s capital market development and securities regulation would have various advantageous social effects. These include improved market infrastructure, more financial inclusion, improved investment protection for investors and improved market openness and integrity. Such results will help Nigerian society as a whole by fostering economic expansion, job creation, wealth distribution and general social progress.

This paper is the original work of the authors and has not been published anywhere nor submitted to another journal for publication.

With the aim to provide a global view of factors affecting mark-up size on construction projects, this study performs a meta-analytical review of the relevant studies over the past 20 years.

The analytical process involved the identification and evaluation of the importance of critical factors affecting mark-up size on construction projects, and the assessment of the generalisability of findings of the meta-analysis. A random-effects model was adopted in the statistical meta-analysis.

The results show that there are 23 critical factors, and the top five factors are: (1) competitiveness of other bidders; (2) number of bidders; (3) relationship and past experience with client; (4) experience on similar project; and (5) project size. A heterogeneity test further shows that there is no statistically significant heterogeneity across the studies, reinforcing the generalisability of the findings to a global context.

The list of critical factors from a global perspective should form a good basis for future efforts in bidding model development.

The research findings have practical implications to both construction clients and contractors in formulating their contracting practices and strategies.

This is the first meta-analysis of a sizeable collection of replicated studies on factors affecting mark-up size on construction projects in the literature.

The welcomed introduction of Fred Moseley to a 27-page excerpt from Marx's Economic Manuscript of 1867–1868 draws attention to the influence of turnover times on the formation of prices of production. This chapter discusses the profit-adjustment decomposition outlined by Marx in these pages where he tries to distinguish the influences of turnover time and capital composition on the formation of the prices of production. It provides an alternative decomposition based on Marx's analysis in the second volume of Capital and argues that these pages do not support Moseley's claim that prices of production are intended only to describe a long-run equilibrium condition. It therefore suggests considering the profit adjustment in relation to the dynamic formation of the general rate of profit throughout the equalization process.

We form portfolios based on return and liquidity and examine the effects of liquidity and other risk factors on asset pricing in the Chinese stock market. Our results show that the past loser-and-illiquid stock portfolios tend to outperform the past winner-and-liquid stock portfolios in the 1–12 months holding period. The excess return is significantly associated with the market-wide liquidity factor even when we control the three Fama-French and momentum factors. Cross-sectionally, the liquidity beta significantly affects the excess return even with control of other risk betas and other traditional liquidity proxies.