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The purpose of this paper is to investigate the individual mechanisms that mediate the relationship between marketing practices and growth-quality of work life ambidexterity.

Data were collected from small service firms via an online survey questionnaire electronically distributed to 7,271 owners of small firms in Australia. Partial least squares was used to test our mediation hypotheses on the data obtained.

The authors demonstrate the mediation effect of entrepreneurial self-efficacy and passion for work in enhancing the relationship between marketing practices and growth-quality of work life ambidexterity.

The findings indicate that being good at marketing does not always lead directly to achieving growth-quality of work life ambidexterity. The results suggest that achievement in both domains requires owners of small service firms to have a strong self-belief that they can perform their job successfully (entrepreneurial self-efficacy) as well as a strong passion to do the job they are doing (passion for work). Policy makers or small firm advisors can include this information to develop enactive mastery measures to promote efficacy and passion for work which can increase small firm survival rates.

The high percentage of business terminations reported without financial loss underscores the importance of including both financial and non-financial goals for small firms. The approach to conceptualize and operationalize growth-quality of work life ambidexterity as a dependent variable representing firm performance assists by providing a more detailed and practical understanding of the organizational and individual variables that enable small firms to realize both.

The purpose of this paper is to examine the influence of institutional quality on the export-led growth (ELG) with global evidence of a panel of 119 countries.

The research framework looks at the role of exports in promoting growth via. good institutional quality. The methods of testing are panel data approach of causality, and fixed and random effects models.

Empirical results show that good Institutional quality mediates the ELG relationship in general, and middle income group in specific. The legal institutional quality has significant positive impact, whereas political and economic institutional quality have significant negative impact on ELG for all sampled countries.

The Kuncic’s (2014) institutional quality data are annually available between 1990 and 2010. Therefore, time series analysis for individual country is bias with 21 observations. And, this study ignores other potential variables such as capital, labor, real exchange rate, and so on, may possibly contribute to omitted-variables bias.

Policymakers may well utilize institutional quality reforms either in terms of improving existing institutional quality or enhancing “second-best” institutions as a policy instrument to reap success from export-oriented growth strategies.

Existing studies on ELG have ignored institutional quality as a relevant variable. It looks at the three institutional quality indicators, namely political, economic, and legal in ELG framework.

Based on the theoretical definition of the quality of economic growth as well as the availability and reliability of the given data, the purpose of this paper is to build an evaluation system of a regional economic growth quality on three levels: conditions, processes and results.

From the perspective of economic quality, this paper offers a theoretical interpretation on how the urban–rural income gap affects the quality of economic growth and takes an empirical test on the sample panel data from 30 provinces and regions through difference GMM and system GMM models.

The results show that the excessively large income gap will influence economic growth in terms of the foundation, operation and the outcome, thereby, restricting the quality of economic growth. In addition, investments in human and physical capital and improvements in terms of transport infrastructure, industrial structure and economic openness play an active role in economic growth quality, whereas government expenditure scale, financial development and the deviation of industrial structure have a negative effect.

There has been a substantial amount of experience and evidence on the research about the issue of China’s income distribution and the quantity of economic growth, whereas there are relatively fewer discussions about the income distribution and the quality of economic growth. This paper, based on what has been mentioned above, tries to give a theoretical interpretation and an empirical test to describe the relationship between urban–rural income gap and the quality of economic growth from the quality point of view.

Corporate business portfolios, once bright with future stars, have darkened appreciably of late. With the economies of both North America and Europe moving from the growth of the 1960s to the stagflation of the late 1970s and early 1980s, the classification of business units into question marks, future stars, cash cows, or hopeless dogs has lost much of its relevance. There are simply not enough future stars to go around. Indeed, the life cycle of the market share—market growth matrix, pioneered by the Boston Consulting Group, has been more like that of an entertainment celebrity than a celestial star; it seems to be falling into disfavor, as a technique in corporate planning, almost as rapidly as it rose to prominence.

China's economy has transformed from a high-speed growth phase to a high-quality development phase. The agriculture sector has grown substantially since the economic reform in 1978. Considering the five-year plan (FYP) as a collection of policies, this study explores the relationship between the FYP and agricultural total factor productivity (TFP).

This study uses 31 provincial-level panel data of the five FYPs from 1996 to 2020. The data envelopment analysis (DEA) is used to compute Malmquist productivity indexes. The authors analyze the temporal and spatial changes and convergences of China's agricultural TFP, and investigate the impact of economic planning on China's agricultural TFP and its regional difference.

There is a slow but upward growth trend in China's agricultural TFP. The technical change has played a leading role in the growth of China's agricultural TFP. The agricultural TFP of all provinces has shown a “catch-up” effect and is developing toward their respective steady-state levels. The regional difference in productivity growth among the eastern, central and western regions exists. Test results show that the FYP has a positive effect on the agricultural TFP, and the effect has obvious regional heterogeneity. The FYP also plays a positive role in the gross value of agricultural output, and the impact effect is greater than that on the improvement of agricultural productivity.

There are many forms of industrial policy in China, among which the FYP is the guiding document of industrial policy, which makes a systematic plan for industrial development in the subsequent five years. The development objectives, guidelines and overall deployment for agriculture in the FYP not only describe the general context of China's agricultural development but also show the key ideas of agricultural development. Therefore, this study explores its impact on agricultural quality development from the perspective of FYP. The results provide evidence for examining the governance performance of the government and the objective evaluation and restraint of the FYP. As agriculture moves toward the stage of high-quality development, the Chinese government should strengthen the critical guiding role of the FYP and pay attention to quality indicators such as technical progress, efficiency improvement and regional coordination in the formulation of the FYP.

The study examines whether the growth effect of government spending is contingent on the level of institutional environment prevalent in Economic Community of West African States (ECOWAS).

The study adopts the more refined and more appropriate dynamic threshold panel by Seo and Shin (2016) and made applicable be Seo et al. (2019). The technique models a nonlinear asymmetric dynamics and cross-sectional heterogeneity simultaneously in a dynamic threshold panel data framework.

The results show that there is a threshold effect in the government spending-growth relationship. Specifically, the authors found that the impact of government spending on economic growth is positive and statistically significant only above a certain threshold level of institutional development. Below that threshold, the effect of government spending on growth is insignificant and negative at best. The findings suggest that government spending-growth nexus is contingent on the level of Institutional quality.

Unlike previous studies that adopt the linear interaction model which pre-impose a priori conditional restrictions, this study adopts the dynamic threshold panel framework which allows the lagged dependent variable and endogenous covariates.

General Systems Company, Inc. has been directing its experience in installing quality systems throughout the world, as well as its research department’s focus on the development of new quality system strengths, to support and implement the quality growth opportunities of the twenty‐first century. The key is transforming quality from the past emphasis upon the reduction of things gone wrong for the customer, to emphasis upon the increase in things gone right for the customer, with the consequent improvement in sales and revenue growth. This customer value enhancement objective is a fundamentally new, different and much more effective business quality goal to drive the organization’s work from product and service design and development to customer satisfaction. For many organizations this requires a basic change in their business orientation and in their quality systems. Describes this new quality discipline, termed Total Quality System 2000 and its ten systems powers.

This study aims to test the role of infrastructure for economic growth. For this purpose, panel data of the world is selected from 1998 to 2018 and the study has used slope moderator to test the productivity of real economic activity with economic growth.

In this context, the feasible generalized least square method is adopted to estimate the results. Four types of infrastructure indicators i.e. quality of air, port, rail and road are used along with disaggregated GDP.

According to the results of this study, the role of industrial and agricultural value addition without infrastructure is negative. For industrial value addition, the cross product with all infrastructure types positively impacts economic growth. All the infrastructures, along with services value addition, except seaport, are contributing to economic growth positively. Along with agriculture value addition, only road infrastructure is contributing to economic growth positively. This study has also used two control variables i.e. quality of education and institutions. These variables are also found to be positive and significant with economic growth.

This study explores the moderating role of quality of infrastructure sector on real sector productivity, which is leading to economic growth.

Firm-specific factors such as size, profitability, growth, risk and complexity, in addition to agency-related issues determine both auditor selection and firm life-cycle stage. This paper aims to examine whether and how the effect of Big-4 auditors (B4As) on client firms’ audit quality varies across firms’ life-cycle stages.

The sample comprises 1,813 firm-year observations in India’s emerging economy from 2011 to 2020. The Modified Jones model and Jones (signed, unsigned) model are used to compute discretionary accruals/audit quality. The authors use Koh et al.’s (2015) methodology to determine the firm life cycle.

The authors’ key findings show that the client firms employing B4As have superior audit quality than those employing non-Big-4 auditors (NB4As). The authors also show that the life-cycle stage significantly impacts the relationship between B4As and a firm’s audit quality. Furthermore, B4A client firms report superior audit quality vis-à-vis NB4A firms only in the birth- and decline-stages. The audit quality of growth- and mature-stage B4A and NB4A client firms is not significantly different.

Implications for managers include the decision to hire B4As. Given that B4As earn a significant fee premium, managers leading birth- and decline-stage firms should hire B4As, while managers of growth- and mature-stage firms should not.

To the best of the authors’ knowledge, this is the first paper to examine the moderating effect of the firm life-cycle stage on the selection of B4As and their impact on audit quality.

This paper aims to assess the impact of infrastructure development on Ghana’s economic growth.

Using data obtained from the World Bank’s World Development Indicators, the United States’ (US) International Energy Statistics and the Central Intelligence Agency’s (CIA) Factbooks from 1980 to 2016, an autoregressive distributed lag (ARDL) framework is used to determine the long- and short-run impact of the selected infrastructure stock and quality indices on Ghana’s economic growth.

Findings indicate a statistically significant relationship between infrastructure development and economic growth. Additionally, electricity-generating capacity is identified as the infrastructure stock index that has the greatest positive impact on Ghana’s economic growth. The study reveals that electricity-distribution loss has a significant negative effect over both long- and short-run periods.

Commercial petroleum export from Ghana since 2010 has been a key contributor to economic growth. Although its aggregate effect is included in the annual GDP figures adopted for the study, the authors would have wished to assess its impact on GDP as an independent standard growth determinant. However, because of a lack of available data over this study period, petroleum exports could not be adopted as an independent standard growth determinant. Additionally, an aggregated index of infrastructure stock and quality could not be derived because of the small size of data available. Hence, this study did not assess its impact on Ghana’s economic growth.

The research provides pragmatic guidance to policymakers to focus their efforts on expanding electricity-generating capacity while simultaneously taking steps to curb electricity transmission and distribution losses. These two related actions offer the greatest positive impact on infrastructure development and, as a consequence, Ghana’s economic growth.

This paper represents the first attempt to empirically study the relationship between infrastructure development and Ghana’s economic growth. A key contribution to the existing body of knowledge includes strong evidence of a positive effect of infrastructure development upon Ghana’s economic growth. Results also reveal that the greatest positive impact on economic growth is derived from electricity-generation capacity. However, the study also uncovers a negative, but statistically significant, relationship between road and economic growth.