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The impact of digitalisation on smaller firms remains sparsely studied across emerging economies. The paper aims to examine the relationship between digital adoption and multiple performance parameters of micro, small and medium enterprises (MSME) in a prominent emerging economy.

The study employs data from the World Bank Enterprise Survey (WBES) 2022, capturing 9,024 Indian MSME firms spread across the country. Performance indicators are derived from growth in sales, employment and labour productivity (LPROD). Multiple regression estimates are derived that also correct for sample selection bias using Heckman’s two-step process.

Digital proliferation is found to increase as firms mature up in terms of age, size and constitution. A significant difference could also be observed in business performance across digital and non-digital businesses, with sales growth (SG) and productivity higher for digital firms. Digital financial variables are found to have a significant impact on SG but not as much in the case of employment growth and LPROD. The results are robust to correction for sample selection bias in digital adoption using inverse mills ratio (IMR).

The study highlights digital adoption gaps across various strata of MSMEs, highlighting lower adoption when firms are younger, smaller and lacking formal constitutional setup. Digital variables indicating positive association with SG highlight the need for concerted efforts at the public policy level for building appropriate skills and infrastructure for micro and small enterprises to boost their digital adoption to promote growth.

There is a lack of micro-level empirical evidence measuring the impact of advanced digital technology usage on multiple aspects of enterprise performance amongst micro and small firms. The study deploys unique digital variables including TReDS and use of online credit applications to assess the impact on business performance. The findings provide insights for practice and public policy, besides making the case for a higher focus on launching digital initiatives for smaller enterprises.

This paper aims to explore the relationship between corporate corruption risk and environmental, social and governance (ESG) reporting and if this relationship is moderated by business ethics.

Data from a sample of 347 European firms selected from the ESG Index between 2010 and 2020 were used to test the model using panel data and multiple regressions. This paper considered the feasible generalized least squares estimation for linear panel data models. A multiple regression model is used to analyze the moderating effect of business ethics on the association between corporate corruption risk and ESG reporting. For robustness analyses, the authors included the alternative measure of the dependent variable, and they applied the simultaneous equation model for the endogeneity test.

The empirical results reveal a negative relationship between corporate corruption risk and ESG reporting. Furthermore, the findings suggest that business ethics positively moderate the relationship between corporate corruption risk and ESG reporting.

This paper presents an enormous contribution to the various economic agents involved in the company. The results could attract the attention of socially responsible investors and, above all, corporate citizens. Moreover, the managers of corrupt companies could take into account the results of this study by being more committed to an optimized transparency strategy on ESG reporting.

To the best of the authors’ knowledge, this is the first study to investigate the moderating role of business ethics on the relationship between corporate corruption risk and ESG reporting in the European context. It is also the first study documenting that business ethics reinforce the relationship between firm corruption and nonfinancial information transparency. This study fills a research gap as it expands the existing literature, which generally focuses on the impact of corporate corruption on ESG reporting.

This paper aims to investigate the effect of corporate environmental disclosure on earnings management and to further examine whether this relationship is moderated by female board.

Our sample includes 264 European companies listed on the STOXX eUROPE 600 for the period 2010 to 2022. We excluded financial companies (banks and insurance companies) due to their specific capital structure and regulatory requirements, and companies with missing data. Feasible Generalized Least Square (FGLS) regression method is used to estimate the econometric models. For robustness analyses, the authors included the alternative measure of the dependent variable, and they applied the simultaneous equation model for the endogeneity test.

Using discretionary accruals as a proxy for earnings management, the results obtained indicated a negative effect of corporate environmental disclosure on earnings management. The results suggest also that women on boards are effective in their monitoring role. Indeed, findings show that the effect of corporate environmental disclosure on earnings management is particularly stronger with the presence of women directors on the companies’ boards.

This study has two limitations. Firstly, the sample size is relatively small, which may limit the generalizability of our findings. Secondly, our earnings management indicator, based on estimates of accruals, may not perfectly reflect all streams of earnings management. Therefore, to reduce potential bias in these estimates, it would be useful to use other indicators, such as real earnings management.

The findings have several implications for regulatory, investors and academic researchers. For regulators, it is appropriate to promote several standards related to corporate environmental disclosure and earnings management. The results advise also the worldwide policy maker to give the importance of female roles to improve engagement firms in corporate environmental disclosure, so to be more transparent in their accounting practices to ensure that they are not engaging in unethical or fraudulent behavior. For investors, the results show that the existence of female directors on the board reduces earnings management. For academic researchers, it is interesting to explore the relationship between corporate environmental disclosure, women on the board, and earnings management.

This paper extends the existing literature by examining the moderating effect of women directors on the relationship between corporate environmental disclosure and earnings management in the European context.

This empirical study aims to examine the COVID impact on the rate of return to schooling in 20 US industries.

An extended Mincer earnings equation with the COVID dummy variable and dummy interactive terms is used to examine the COVID effect on the rate of return to schooling for different industries. We use Heckman selection model to account for sample selection bias.

During COVID years, the change in the wage differential between college-and-above and below-college workers is different for industries, which leads to different changes in the rate or return to schooling among the 20 industries. During COVID, the rate of return to schooling increased for seven industries, decreased for seven industries and remained the same for six industries.

There is a lack of empirical tests of recession effects on the rate of return to schooling focusing on industry differentials. This study fills the research gap in this field. Our results will contribute to the ongoing discussion of the COVID impact on wages and returns from human capital investment.

This paper empirically investigates the demand for pastured eggs in the United States and evaluates the welfare consequences of Japan's egg import tariff reductions for the US consumers.

Using household-level Nielsen Homescan panel data, a fixed-effects Heckman two-stage sample selection model is estimated.

The estimation results ascertain the importance of a set of household socioeconomic characteristics, which are found to influence both the purchase probabilities and the consumption amounts associated with pastured eggs. In addition, demand for pastured eggs is estimated to be inelastic, and pastured eggs are found to be a normal good, more specifically a luxury.

The dataset used in this study reflect purchases only for at-home consumption, lacking information on away-from-home purchases.

Building upon previous research, this study makes the following distinct contributions to the current literature. To the best of our knowledge, it constitutes the first study to empirically examine the demand for pastured eggs, using household-level panel data and an estimation model that not only allows for left-censoring but also controls for regional and time fixed effects. Second, the present study reflects a unique effort in analyzing the adverse welfare consequences of the increased egg prices in the United States brought by a reduction of Japanese import tariffs on US-supplied eggs, focusing specifically on pastured eggs.

China is a large country with different regions due to regional differences and project characteristics, and the selection of prefabricated building technology according to local conditions is the key to its sustainable development in China. The purpose of this paper is to develop the suitability evaluation system of prefabricated building technology from the perspective of the suitability concept and to analyze the selection path of prefabricated building technology and to provide a reference for selecting and developing prefabricated building technology schemes that meet regional endowments.

Based on relevant literature, technical specifications, and standards, this paper constructs an index system for analyzing the technical suitability of prefabricated buildings. It includes 23 indicators, 7 dimensions, and 3 aspects through the semantic clustering method. Following this, the comprehensive weight of each index is determined using the order relation method (G1) and the continuous ordered weighted averaging (COWA). The selection of technical schemes is comprehensively evaluated using Visekriterjumska Optimizacija Ikompromisno Resenje (VIKOR) and Fuzzy Comprehensive Evaluation Method.

 (1) The technical suitability of prefabricated buildings is influenced by 7 core factors, such as adaptability of resources and environment, project planning and design level, and economic benefit; (2) When selecting the appropriate technology for prefabricated buildings, economic suitability should be considered first, followed by regional suitability, and then technical characteristic; (3) The prefabricated building technology suitability evaluation model constructed in this paper has high feasibility in the technical suitability selection of the example project.

The comprehensive evaluation model of prefabricated building technology suitability constructed in this paper provides technical selection support for the promotion and development of prefabricated buildings in different regions. In addition, the model can also be widely used in areas related to prefabricated building consulting and decision-making, and provides theoretical support for subsequent research.

This study provides a new decision support tool for prefabricated building technology suitability selection, which helps decision makers to make more rational technology choices.

This study has a positive impact on the advancement of prefabricated building technology, the improvement of construction industry standards, and the promotion of sustainable development.

The contribution of this study is twofold: (1) Theoretically, this paper provides technical evaluation indicators and guidelines for provincial and regional governments to cultivate model cities, plan industrial bases, etc. (2) In practice, it offers project-level appropriate technology system solutions for the technology application of assemblers in various regions.

This study aims to examine whether tax avoidance is associated with overinvestment and the moderating role of financial reporting quality on such association in Italian private firms.

This study uses a multivariate regression analysis based on a sample consisting of 65,535 firm-year observations between 2015 and 2022.

Results show that tax avoidance is positively associated with overinvestment and that such relation is weaker for firms with a higher financial reporting quality than for firms with a lower financial reporting quality. Furthermore, findings hold to a wide range of robustness checks, including alternative measures of main variables, endogeneity and falsification tests.

Since this study focuses on the Italian private firms, the results cannot be extensively generalized.

As this study highlights the importance of tax avoidance on overinvestment, it can be particularly beneficial for managers, policymakers and other parties interested in assessing factors that lead to a capital allocation in less efficient investments.

This study provides novel evidence about the role of tax avoidance on overinvestment in private firms by mitigating the little attention of prior research in this area. It examines the Italian setting that is particularly of interest given the relevance of private firms in such context and the incentives of managers to reduce the tax burden.

The research aims to applying Baumol’s framework to address some research gaps in the literature. This paper aims to analyze how institutional variations at the subnational level impact entrepreneurship decisions and the path toward productive or unproductive entrepreneurship in an institutionally underdeveloped country. The results offer potentially new theoretical insights and practical implications for developing or emergent countries.

The research applies Baumol’s framework to Mexico’s context. The research collects data compounded by individual- and state-level variables from diverse sources for the 32 Mexican states. The individual level and some controls were obtained from sources of regular frequency, but the institutional variables were derived from surveys of irregular frequency, nonsynchronic and mostly nonoverlapping, which required aligning and centered them around 2016 and 2019 to match with the individual variables. The authors apply multilevel nonlinear mixed-effects probit regression to test nine hypotheses regarding the impact of institutional variables on entrepreneurial decisions and the path toward productive or unproductive entrepreneurship.

Improved formal institutions across the Mexican states reduce the entrepreneurship probability, implying interactions with other variables and indirect effects; encourage the selection of productive entrepreneurship, e.g. formal ventures; and discourage self-employment. Consequently, those institutions do not encourage entrepreneurship selection as an occupation but entrepreneurial quality, i.e. the selection of productive-formal entrepreneurship and larger ventures. Deficient informal institutions increase the entrepreneurship and formal entrepreneurship probabilities, implying the interactions with other variables and indirect effects and supporting the corruption “greases the wheels” hypothesis, consequently encouraging productive ventures. New evidence of the positive relationship between criminality and entrepreneurship types in Mexico is reported.

Our findings indicate important impacts of the individual-level variables on the entrepreneurship decisions and that most of those decisions are potentially necessity driven and a minority are driven by opportunity, given their relationship with the macroeconomic controls and the institutional variables. The authors report mixed results on the relationship between institutions and entrepreneurship partially consistent with the literature; some results contribute additional evidence on controversial hypotheses or imply the existence of indirect effects. Overall, the results suggest that institutions impact the individual decisions to venture and the type of venture consequently affecting the amount and quality of entrepreneurship across states.

The research addresses some of the literature gaps by providing empirical evidence on a middle-income country and how diverging regional institutional contexts, including formal and informal institutions, impact the individual’s entrepreneurship decisions within an institutionally underdeveloped country. The paper contributes new knowledge and insights into entrepreneurship in emerging or developing countries with implications for Baumol’s framework in this context and adds to the debated hypothesis on the relationship between some institutions, e.g. corruption and criminality and entrepreneurship.

This study aims to understand how the facesheet size, orientation and core size influence the analytical failure mechanism mode of glass fibre reinforced polymer (GFRP)/polyvinyl chloride (PVC) sandwich structures subjected to three-point bending. The purpose of this study was to develop failure-mode map of GFRP/PVC sandwich structures. Sandwich structures with different facesheet and core thicknesses were used to develop the failure map.

The sandwich structure and facesheet were fabricated using a vacuum-assisted resin infusion method with core sizes of 10, 15 and 20 mm and facesheet thicknesses of 1.5 and 3 mm and were arranged in three different orientations: angle-ply, cross-ply and quasi-isotropic. The key failure modes that occur in sandwich structures were used to predict possible failures in the developed material. Analytical equations were used in MATLAB for each observed failure mode. The probable failure modes, namely, face yielding, core shear and indentation equations, were used to construct the failure maps and were compared with the experimental data.

The boundary of the two failure modes shifts with changes in the facesheet and core thicknesses. The theoretical stiffness of sandwich panels was higher than the experimental stiffness. Based on strength-to-weight ratio, specimens E10-4, A15-8 and E20-8 exhibited the best optimum values owing to their shorter distance to the boundary lines.

In this study, a failure map was used to predict the possible failure modes for different GFRP facesheet orientations and thicknesses and PVC core thickness sandwich structures. Little is known about the prediction of the failure modes of unidirectional GFRP arranged in different orientations and thicknesses and PVC core thicknesses for sandwich structures. Few studies have used failure mode maps with unidirectional GFRP oriented in angle-ply, cross-ply and quasi-isotropic directions as a facesheet for sandwich structures compared to bidirectional mats. This study can serve as a guide for the correct selection of materials during the design process of sandwich structures.

This paper aims at understanding the causes of low adoption of hybrid rice technology. The paper also assesses the impact of adoption of hybrids and modern varieties on crop yield, vis-à-vis the old or traditional varieties.

Using unit-level data from a large-scale survey of farm households (19,877 paddy cultivators), the authors applied multi-nomial regression method to understand the factors for adoption of hybrid rice and instrumental variable method of regression to estimate its impact.

The findings demonstrate that in India, hybrid rice is often grown on relatively poor soils, resulting in greater irrigation costs and for other inputs, such as fertilizers. Further, farmers' poor access to information on the traits of hybrid rice and the associated agronomic practices, as well as poor access to financial resources, hampers efforts to scale up its adoption. More importantly, the findings reveal that the relative yield advantage of hybrids over open-pollinated modern varieties is not large enough to incentivize the rapid adoption of hybrid rice technology.

Given the higher cost of hybrids than the inbred varieties, enhancing paddy cultivators' access to financial resources can accelerate the adoption of hybrid rice in India.

The study is based on unit level data from a large-scale, nationally representative survey of farm households, comprising a sample of 19,877 paddy cultivators, spread across states in India.