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How to incentivize green innovation is an important issue of great concern to scholars. Drawing on the theories of evolutionary analysis and neoclassical economic analysis, this study incorporates environmental policies and market participants into a unified analytical framework to explore the synergistic impacts of carbon emissions trading (CET) and market participants on green innovation. Using a sample of Chinese listed companies from 2006 to 2018, the empirical results based on the difference in difference (DID) model show the following: first, the CET pilot policy significantly promotes pilot firms’ green innovation; second, economic and environmental legitimacy are the mechanisms through which CET promotes corporate green innovation; and third, further analysis shows that CET and market participants have a synergistic effect on firms’ green innovation. This study provides new evidence as to how market-oriented CET affects green innovation through market participants, which provides a theoretical reference for policymakers to use market-based environmental regulation to promote green transformation.

Deregulation exposes the inherent volatility of the electricity price. Accurate electricity price forecasting (EPF) could help the market participants to hedge against the price movements and maximise their profits. The existing methods have limited capability of integrating other external factors into the forecasting model, such as weather, electricity consumption and natural gas price. This study proposes a deep recurrent neural network (DRNN) method to forecast day‐ahead electricity price in a deregulated electricity market to explore the complex dependence structure of the multivariate EPF model. The proposed method can learn the indirect relationship between electricity price and external factors through its efficient diverse function and multi‐layer structure. The effectiveness of the method is validated using data from the New England electricity market. Compared with the up‐to‐date techniques, the proposed DRNN outperforms the single support vector machine (SVM) by 29.71%, and the improved hybrid SVM network by 21.04% in terms of mean absolute percentage error.

Given the increasing importance of green bond as the main funding source for the Sustainable Development Goals, the green bond is an emerging concept in the region of Southeast Asia. In addition, the concurrent Covid-19 pandemic has caused disruption to the development of green bond around the world. This research explores the current development status of the green bond in Southeast Asian countries. A total of thirty-two semi-structured interviews were held with capital market participants in Southeast Asian countries. The results highlight barriers, opportunities, and regulation difficulties, and expected growth for the development of the green bond market. This research is concluded by indicating several propositions that can be tested in the future to generalize the findings from this work. We thus extend the knowledge of green bond in the financial markets of Southeast Asian countries, which also delivers implications for practitioners and policy-makers regarding the development of green bond in Southeast Asian countries.

This research aims to observe the consequences of going concern opinion (GCO) and examine the role of specialist accounting firms for the financial reports of business firms and capital markets. The research is based on an experimental study consisting of 107 undergraduate and graduate students who were asked to act as financial analysts.

'Investor Protection and Corporate Governance' analyzes the impact of corporate governance on firm performance and valuation. Using unique datasets gathered at the firm-level—the first such data in the region—and results from a homogeneous corporate governance questionnaire, the book examines corporate governance characteristics, ownership structures, dividend policies, and performance measures. The book's analysis reveals the very high levels of ownership and voting rights concentrations and monolithic governance structures in the largest samples of Latin American companies up to now, and new data emphasize the importance of specific characteristics of the investor protection regimes in several Latin American countries. By and large, those firms with better governance measures across several dimensions are granted higher valuations and thus lower cost of capital. This title will be useful to researchers, policy makers, government officials, and other professionals involved in corporate governance, economic policy, and business finance, law, and management.

The article considers the legislative and regulatory documents which outline the features of detecting offenses in the stock market of Ukraine. The main offenses in the domestic stock market have been formed, and the subjects, objects and types of sanctions for offenses have been considered. It is determined that the main body in the field of detection and prevention of stock market violations is the National Securities and Stock Market Commission (NSSMC), which considers cases of offenses, regulates the activities of issuers and financial intermediaries, prepares reports on stock market operations, carries out licensing of professional participants and provides cooperation with state institutions, state and local authorities in the field of crime prevention. An analysis of offenses in the stock market of Ukraine during 2017—2019 has been carried out. The main directions of stock market offenses prevention are outlined, namely: imposition of financial sanctions, revocation or suspension of licenses of professional participants, issuance of orders and resolutions, increase of fines in the stock market, prevention of price manipulation. Proposals were made to improve the activities of the Stock market infrastructure development agency, in particular to form a single complete and detailed base of issuers, professional participants, offenses, foreign investors and large securities holders. It is proposed to reduce violations in the stock market through active cooperation with the International Organization of Securities Commissions (IOSCO). In general, we can conclude that there is no critical situation in the field of offenses in the stock market of Ukraine, as evidenced by analytical studies. Keywords: offenses, stock market, license, issuer, professional market participants, National Securities and Stock Market Commission. JEL Classification G18, K22, K40, K49 Formulas: 0; fig.: 4; tabl.: 0; bibl.: 16.

The article analyzes the literature and provides an assessment of the development of the stock market in the Russian Federation between 2016-2020. Today, the process of improving electronic technologies for carrying out operations in the stock market is also a continuing segment of the financial market. A methodology for assessing the development of the stock market in the example of the Russian Federation is proposed, with a description of the essence of the assessment indicator, the calculation formula and the threshold value. According to the results of the assessment and to the author's proposed methodology, measures are proposed to improve the work of the stock market.

PurposeThe purpose of this paper is to show that gig jobs could be considered an alternative way, albeit not the very best, to give work opportunities to older people. This could offset the continuously decreasing income from the pay-as-you-go pension system, which remains the main source of income for older Hungarians.Design/methodology/approachThe paper reviews the most important aspects of employment of older people and highlights the digital divide which still restricts their participation in the labor market. The paper analyzes data from the Hungarian carpooling company Oszkár and compares it with official statistical data from the Hungarian labor market, focusing on the dynamics of the employment of older persons.FindingsThe findings show that the alienation of older workers from the gig economy is just transitory, and that an increasing proportion of older gig workers can be anticipated.Research limitations/implicationsCompiling data on the gig economy faces a number of obstacles, as enterprises are disincentivized from revealing all their data.Social implicationsOlder people are more likely to be employed in lower-quality jobs, such as own-account self-employed. They are also increasingly more likely to become gig workers.Originality/valueThe paper articulates the importance of remaining active as one ages and moreover challenges the traditional belief that gig jobs mainly offer opportunities to the younger generations.

Chickpea is a popular food in Ethiopia and is an important source of income for many smallholder farmers. In order to promote chickpea cultivation and make it more economically viable, it is necessary to determine which markets are most suitable. Among the econometric models, the multivariate probit model is appropriate and was used to study the determinants affecting the choice of outlets for chickpea in the district. The model found that wholesalers and retailers (61% and 18% of total buyers, respectively) were the most likely to purchase chickpeas. Collectors (25% of buyers) and consumers (35% of buyers) are also important, but are less likely to succeed compared to the other market participants. Based on these results, the government and other stakeholders need to focus on developing infrastructure and improving access to credit to help farmers decide which market to target and choose the best one.

Market participants may employ potential market power improperly in energy trading. On the other hand, integrations of distributed energy resources (DER) are highly complex since it entails the optimal coordination of a diverse portfolio of DER under multiple sources of uncertainty. A large number of possible stochastic realisations that arise can lead to complex operational models that become problematic in real‐time market environments. Although recent works have explored the impacts of DER on numerous aspects of grid operation and planning, its role in imperfect competitive energy markets has not been investigated nonetheless. This article proposes the theoretical and quantitative analysis of the withholding strategies for the utility corporations with the integration of DERs for the first time and the corresponding market power effects on utility corporation's profits and market prices. The quantitative demonstration is supported by a bi‐level model with the optimal company profit for the upper level and the market clearing for the lower level. This bi‐level problem can be solved directly when a single‐level problem is obtained with a mathematical program with equilibrium constraints (MPEC). Numerical studies are implemented on a wholesale market with the day‐ahead horizon and hourly resolution.