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The aim of this paper is to assess the effects of traditional inputs and firms' R&D capital on labour productivity growth.

The study measures the effects of the traditional inputs on firms' productivity growth, through four procedures: OLS in first differences, within group, GMM in first differences and GMM system.

Whatever the specification considered, the more efficient estimates obtained from the GMM system show a similar effect of the firm's R&D stock upon its labour productivity performance.

The results suggest that physical capital plays a more prominent role for European firms than for US ones, while employees are more productive in the USA.

By presenting some empirical evidence on the effects of R&D on labour productivity, at the firm level, the present study makes two main contributions to the existing literature. First, a unique firm‐level database for European and US firms is used. It is self evident that firms in these countries operate in different economic and institutional settings; as a consequence the results identify some robust common effects concerning the two areas considered (the USA versus Europe) at the micro level. Second, service and manufacturing sectors are merged.

The purpose of this paper is to look at the factors driving labour creation in Russia, while paying attention to the role of innovation policy. The study considers innovation variables with indicators linked to social conditions (social filter component) and geographical spillovers for 85 regions during the period 2010-2016.

In particular, the study uses latitude and longitude coordinates to compute the distance between Russian regions according to the Haversine formula. In this manner, it measures the spillovers as the weighted sum of R&D capital stock on the basis of computed distance, according to the accessibility index procedure.

The finding is very important in terms of policy implications for supporting employment. As the results stress that own innovation produces labour creation effects, while knowledge spillovers are labour-saving, the study could conclude that regional innovation policy may have undetermined the objective of an efficient level of absorptive capacity able to benefit positively from external innovation.

The study contributes to the literature by exploring whether geographical spillovers are labour-friendly or labour-saving in Russia.

What is the effect of an increase of migration inflows on the R&D and innovative performance of developing countries? The purpose of this paper is to investigate the impact of migration inflows on the R&D and innovation activity (measured as expenditures on R&D and technological innovations) in Russian regions.

To this end, the authors use data on 85 Russian regions for the period 2010-2016 through a multi-region economic geography model. In particular, the authors test the hypothesis about the importance of migration inflows on R&D and technological innovation activity (H1) and the hypothesis about the importance of immigrants’ (incoming migrants) human capital (measured by the education level of incoming migrants) on R&D and innovation activity (H2).

Empirical findings support the evidence in favour of a positive causal link between innovation and migration inflows. Results of our investigation are important because they suggest useful insights for formulating science and innovation policies in Russia, which is a developing country where the recent policies favouring the technological innovation as the transition period have not yet achieved a satisfying outcome.

This paper increases the knowledge in the field with respect to the existing literature, shedding further light on the migration inflows effects, which is a political topic to manage very relevant in all countries.

The purpose of this paper is to analyze to what extent spending on innovation activities and collaboration at the industry level affects the relationship between firm innovation and performance.

A conceptual model was proposed and empirically tested using multiple linear regression. The data were obtained from the Community Innovation Survey 2012, composing a sample of 890 Italian manufacturing firms.

The results provided full support for the positive moderating effect of intra-industry innovation spending and partial support for the positive moderating effect of intra-industry collaboration, both regarding the relationship between firm innovation spending and performance. Knowledge spillovers derived from intra-industry innovation spending and intra-industry collaboration affect firm performance. While this finding corroborates other studies that have found that the intra-industry R&D spending influences firms’ innovation and performance, it also contributes to improve the understanding about the complementarity of internal innovation activities and knowledge spillovers.

This study contributes to theory by filling a gap concerning the complementarity of internal innovation activities and the effect of knowledge spillovers to improve firm performance. Our findings suggested that intra-industry openness to collaboration and innovation spending, as proxies of knowledge spillovers, plays an important role in complementing firm level innovative efforts, even in the case of firms that spend less on innovation and have a lower degree of collaboration. This is especially relevant for small and medium enterprises, which can take advantage of access to the necessary information to overcome their internal resource constraints for R&D and innovation. The originality of these findings adds value in terms of furthering the understanding of this phenomenon.

The purpose of this paper is to analyze the correlation between the educational level and the number of children in Italy, where a very low fertility rate may be observed.

Since the number of children ever born is a count variable, Poisson regression is the suitable statistical procedure used to conduct the empirical analysis. First, the authors estimate the correlation between the female's education and her number of children, and then the authors use also partner's education to take into account the family dimension. Furthermore, in the context of fertility, zero observations might be due either to the choice not to have children, or to the impossibility of becoming a mother. For this reason, the authors adopt also a more appropriate tool, that is a zero‐inflated Poisson regression.

From the empirical results, a significant negative correlation may be observed between the level of education and the number of children.

There are other studies in the literature focusing on the correlation between female participation rate and her fertility rate in the Italian case. In those frameworks, the education variable is usually considered as a control variable. The paper's contribution to the literature is twofold: on one hand the authors develop a theoretical model giving an intuition reason of mechanism underlying the fertility behaviour of families; on the other hand, the authors implement more appropriate empirical models to test for this hypothesis, taking education as the main variable.

The implications of trade on developing economies have generated substantial debates with most studies focussed on “openness in the policy”. Hence, the purpose of this study is to focus on “openness in practice”.

This study uses two models and employed the vector error correction model and structural vector autoregression, first, to examine the sectoral effects; second, to investigate the efficacy of neoclassical and new trade theories; and third, to analyse the effect of trade openness shock on Nigerian labour market performance.

The results of the first model showed that trade openness has an adverse effect on employment and wages in both the agriculture and manufacturing sectors. Likewise, the study concludes that the new trade theory explains trade's behaviour on employment and wages in Nigeria. The second model showed that the effect of error shock from trade openness affected wages more than employment.

The study ignores the distributional effects due to unavailability of data.

The study suggested, amongst others, the need for policies mix on the labour market via a coherent set of initiatives in other to increase the competitiveness of Nigeria in the international market.

Most studies focussed on openness in policy through the channels identified in the literature. However, this study investigates these channels in “openness in practice” and investigates trade theories' efficacy on manufacturing and agricultural sectors in Nigeria, which has been neglected in the literature.

This paper investigates the relationship between agricultural entrepreneurship (AE) and new technologies using academic and practitioners' perspectives to understand how new technologies such as artificial intelligence (AI), machine learning and augmented reality can promote agri-businesses.

The paper adopts a content and thematic analysis of 325 academic sources extracted from the Scopus database and 683 patents retrieved from the European Patent Office (EPO) dataset. Additionally, the research applies the Kruskal–Wallis test as a non-parametric test for evaluating differences in the main concepts discussed in the two sources.

The academic and practitioners' debate highlights a trading zone among the two streams. patents' analysis from the EPO reveals four main common themes as a new business that benefits from AI in weather predictions, new smart and intelligent ways to monitor crops, new businesses that use clouds to control plant's humidity. The analysis of Scopus's sources demonstrates theoretical approaches related to the technology acceptance model (TAM) and practical strategies in terms of entrepreneurial skills to support the agricultural sector. However, barriers among the two streams of sources exist in innovation management and scale-up entrepreneurial initiatives.

Regarding implications, the authors aim to connect academic and practitioners' views by understanding the new potential innovation applications and the connected new research avenues. Limitations might arise from the sources used to develop our analysis.

The paper is novel because it investigates the issues arising from the relationship between AE and new technologies by examining original validated patents released by practitioners and approved by the EPO, rather than reviewing blogs or the financial press. This leads to a holistic understanding of the impact of tangible practices among agricultural entrepreneurs. The results support the view that new trading zones and case studies are needed to highlight and show the positive impact of technologies in this field. The authors argue that practitioners require scholars to reduce the ambiguity between AE and its expected results, leading to investments to boost new agricultural business ideas.

In the context of collaborative research and development (R&D), multi-actor participation and multi-resource integration of technological knowledge has become the mainstream paradigm for the R&D and spillover of industry generic technology (GT). As GT's core characteristics, “fundamentality” and “externality,” make differential requests on knowledge bases regarding the R&D and spillover of GT (SGT). Knowledge breadth can enhance the generality of technology. The purpose of this paper is to integrate “generic technology R&D” and “generic technology spillover” into a single study, and try to solve the theoretical problem of “whether broader mean more general?”

This paper collects and collates the patent data from the two patent databases of Derwent and SooPAT, and then makes an empirical analysis of the patent data collected by the authors with the data analysis software Stata.

Taking 352 strategic emerging firms in China as the sample, this paper examined the effects of general knowledge breadth (GKB) and specific knowledge breadth (SKB) on the R&D and SGT. The authors concluded that both general and SKB have a positive effect on the R&D of GT (RGT), and the latter has a greater effect. There is a significant inverted U-shaped relationship between SKB and SGT.

The theoretical contributions of this paper are as follows. GT can effectively link different technologies and knowledge fields (Gambardella and Giarratana, 2013; Appio et al., 2017a, b). Therefore, existing studies regard the role of knowledge breadth on the R&D and SGT as an existing hypothesis. This paper challenges such hypothesis in two ways. First, this paper divides knowledge breadth into “general knowledge breadth” and “specific knowledge breadth” in response to the insufficient division of knowledge breadth in previous research, although some existing studies have examined the antecedents of the R&D and SGT from the perspective of R&D and SGT. Thus, the authors define GKB as the scope of context-free knowledge and SKB as the scope of context-specific knowledge, both of which shows differential nature, source and application. Second, this paper decomposes the effect of knowledge breadth on RGT, as well as on SGT, basing on distinguishing the SKB from GKB. Existing research reaches a consensus of the positive role of knowledge breadth, no matter on RGT or SGT (e.g. Schmidt et al., 2016; Appio et al., 2017a, b). Yet, such hypothesis ignores the refinement and decomposition of “knowledge breadth” in the research field of R&D and SGT, which is essential in promoting the development of GT theory. In this paper, the authors find that these two types of knowledge breadths play different roles in the RGT, and especially SKB plays a double-edged sword effect on the SGT.

Historically, investments in innovation are perceived as one of the paramount decisions businesses opt to thrive and the impact of such investments on businesses' market performance is well documented in the literature. However, the environmental aspects of making such investments are yet to be addressed by the firms, which in turn, present considerable damage to the environment. Coupling with the natural resource-based view (NRBV) and the stakeholder theory of the firm, this research builds on an earlier work of Khalil and Nimmanunta (2021) in an attempt to examine the link between innovation and firms' environmental and financial value. The authors extend their analysis and document a more consistent approach to measuring environmental innovation which allows the authors to investigate the firms from three additional economies with respect to firms' investments in both traditional and environmental innovations.

The underlying models are tested using the time fixed-effects panel regression by utilizing information from publicly traded companies of ten Asian economies, including Japan, Hong Kong, Taiwan, Thailand, Turkey, Malaysia, Singapore, India, Indonesia, and Saudi Arabia. The reported sample covers annual firm-level ESG data obtained from Thomson Reuters' Datastream and Refinitiv Eikon during the 2015–2019 period.

This research offers support to the conventional wisdom that innovation is advantageous to the firms' market value. The authors further decompose innovation into traditional innovation and environmental innovation. The findings of this research suggest that traditional innovation is favorable only for the firms' market valuation and traditional innovation is strongly ineffectual for the environment – traditional innovation produces sizeable environmental distress by contributing substantially to carbon emissions. In contrast, the resultant effects of investments in environmental innovation are evident to be instrumental for both firms' financial performance and the environment.

This research has primarily focused on only two components of a company's environmental performance: reduction in carbon emissions (CO2) and corporate social responsibility (CSR). Given the complexity of firms' environmental strategies and the multidimensionality of the variable, which encompasses a wide range of corporate behavior in terms of relationships with communities, suppliers, consumers, and broader environmental responsibilities broadening the scope of the study by including other important aspects of environmental sustainability is, therefore, critical.

The findings of this research signify environmental innovation as one of the vital investment approaches as firms can exploit benefits related to the market from firms' sustainable practices, developing eco-friendly processes by introducing steady yet systematic chains of green products and services. Such products and services may have a feature of enhanced functionality with a better layout in terms of improved product life with better recycling options, and lower consumption and exploitation of energy and natural resources. These sustainable practices would be advantageous for the firms regarding the possibility of setting prices above the standard level through establishing green brands and gaining market share of environmentally anxious consumers. For those companies that are striving to take the leading role in the green industry and longing to seek superior returns on the companies' environmental investments, these benefits, in particular, are exceptionally critical to them.

The linkage between firms' financial and environmental performance in the context of simultaneous inclusion of both green and traditional innovations remains unclear and is yet to be investigated by researchers. Thus, this research shed light on the role of environmental innovation and traditional innovation on firms' environmental performance and financial performance. The authors utilize a novel dataset with a clear indication of measuring different elements of innovation that allows us to develop a more robust approach to corporates' environmental, social and governance (ESG) performance metrics having the slightest biases related to transparency and firm size.

The twenty-first century manifests two of the challenging issues about achieving Sustainable Local Economic Development (SLED) and turning to environmental sustainability through Green Job Creation (GJC). The study examines that not only are both challenges are urgent, but they are also intimately linked and will have to be addressed together. It also finds out that further factors like Managerial Effectiveness (ME) and Public Policy Effectiveness (PPE) affect GJC.

The study uses qualitative and quantitative methods by utilizing primary data collected through designing questionnaires answered by random executives and citizens of three governorates; Cairo, Alexandria and Beni-Suef. These governorates are chosen because they represent different Egyptian geographic areas, i.e. the capital of Egypt, lower and Upper Egypt, where there are numbers of industrial zones with many heavy polluting industrial activities that exist.

The study showed that there is a lack of effectiveness and efficiency in applying common international standards in GJC’s strategies in Cairo, Alexandria and Beni-Suef. Additionally, it is highly recommended that the three governorates enhance the exploitation of their economic resources. Quantitatively, the study showed a positive and statistically-significant connection between SLED and GJC, alongside with a positive and statistically-significant connection between ME and GJC.

The study provides empirical evidence about the main requirements in designing an efficient framework for achieving eco-friendly local economic activities and suggesting practical solutions to obstacles that face local strategies regarding the study’s variables.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2020-0012