PurposeThe purpose of this paper is to explore the sustainable development strategy of green finance under the background of big data.Design/methodology/approachFrom the perspective of big data, this paper uses quantitative and qualitative analysis methods to judge the correlation among green finance, environmental supervision and financial supervision. Green finance gives the entropy method to calculate the score of green finance and environmental regulation, and establishes the spatial lag model under the double fixed effects of time and space.FindingsSpatial autocorrelation test shows that economic spatial weight matrix has obvious spatial effect on green innovation. Through the model selection test, the space lag model with fixed time and space is selected. The regression coefficients of green finance, environmental regulation and their interaction are 0.1598, 0.0541 and 0.1763, respectively, which significantly promote green innovation. The regression coefficients of openness, higher education level and per capita GDP are 0.0361, 0.0819 and 0.0686, respectively, which can significantly promote green innovation.Originality/valueIn view of the current situation of large-scale application of big data technology in green innovation of domestic energy-saving and environmental protection enterprises, this paper establishes a fixed time lag evaluation model of green innovation. M-test statistics show that the original hypothesis with no obvious spatial effect is rejected.

PurposeRecently, the financial sector has faced significant challenges regarding the market competition, its technical efficiency and risk factors around the globe and gain recent researchers' intentions. Thus, the present study aims to examine the impact of technical efficiency, market competition and risk in banking performance in Group of Twenty (G20) countries.Design/methodology/approachData have been obtained from the World Development Indicator from 2008 to 2019. For analysis purpose, random effect model and generalized method of moments (GMMs) have been executed using Stata.FindingsThe results revealed that market competition and banks' capital efficiency have a positive impact on banking performance, while banks' lending efficiency and non-performing loans have a negative association with the banking sector performance of G20 countries. These outcomes provide the guidelines to the regulators that they should formulate the effective policies related to the lending practices and non-performing loans that could improve the banking sector performance worldwide.Research limitations/implicationsThe study has examined only three economic factors like the technical efficiency rate, market competition and risk element, and their influences on banking institutions' operational and economic performance. But the analysis has proved that except these factors, several factors affect banking institutions' operational and economic performance. Thus, future scholars recommend they analyze all the banking sector areas, pick more factors and enlighten their operational and economic performance influences. Moreover, the author of this article has chosen a particular source for collecting data to meet his study's objective. Only a single piece of software has been applied to analyze data; thus, the data collected for this paper may be incomplete, lack accuracy and reliability. Therefore, the future authors are recommended to use multiple sources to collect data and its analysis to ensure the comprehension, completeness and accuracy.Originality/valueLast but not least, this study with the evidences from the banking sector of G20 countries tries to show on the banking management how the risk element matters in the banking sector in an economy. It makes it clear in which areas the banking institutions may be exposed to the risks, and how much sever different kinds of risks may be. Thus, it motivates the management to set a body of persons within the organization to monitor the risks, to try to avoid them and to overcome the problems created by these risks events.

The intelligent era is also known as the fourth industrial revolution. One of the features of the intelligent era is that people use digital technologies such as artificial intelligence, block chain, 5G, cloud computing and mobile animal networking to carry out production, operation and management activities. At present, digital technology is an important factor in promoting social and economic development around the world. Representative digital technology gradually empowers the fields of financial accounting, management accounting, corporate financial management, audit and corporate governance. In this paper, we study and discuss the digital technology that a qualified accountant should possess in the intelligent era, which also provides a directional guidance for the training of intelligent accounting talents in the future.

The economic resilience of enterprises measures the ability of enterprises to resist the impact of negative factors and to optimize and upgrade after impact. Especially today, when the business environment of enterprises around the world is changing significantly, the significance of improving the economic resilience of enterprises is particularly prominent. Based on the theory of evolution, this paper puts forward the concept of enterprise management toughness, then further explores the promotion mechanism of enterprise economic toughness, and puts forward three transmission levels of enterprise economic toughness improvement, namely, enabling layer, evolution layer and toughness increasing layer. It is worth emphasizing that this paper enriches the research on economic resilience at the micro level of enterprises, and contributes to the high-quality development of enterprises.