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This paper addresses revolutionary changes in the education, fertility and market work of U.S. families formed in the 1870s–1920s: Fertility fell from 5.3 to 2.6; the graduation rate of their children increased from 7% to 50%; and the fraction of adulthood wives devoted to market-oriented work increased from 7% to 23% (by one measure).

These trends are addressed within a unified framework to examine the ability of several proposed mechanisms to quantitatively replicate these changes. Based on careful calibration, the choices of successive generations of representative husband-and-wife households over the quantity and quality of their children, household production, and the extent of mother’s involvement in market-oriented production are simulated.

Rising wages, declining mortality, a declining gender wage gap, and increased efficiency and public provision of schooling cannot, individually or in combination, reduce fertility or increase stocks of human capital to levels seen in the data. The best fit of the model to the data also involves: (1) a decreased tendency among parents to view potential earnings of children as the property of parents and (2) rising consumption shares per dependent child.

Greater attention should be given the determinants of parental control of the work and earnings of children for this period.

One contribution is the gathering of information and strategies necessary to establish an initial baseline, and the time paths for parameters and targets for this period beset with data limitations. A second contribution is identifying the contributions of various mechanisms toward reaching those calibration targets.

This study examined the effect that venture creation action has on the outcomes of nascent entrepreneurship. A conceptual model was developed which proposes action as a fundamental mechanism in venture creation. Thus, action should rightly be considered as a means which transmits the effects of venture resource endowments on to venture creation outcomes. This conceptual model was empirically supported in a random sample of nascent ventures. Ventures with higher levels of human or social capital were found to be more active in venture creation. In turn, more active venture attempts were more likely to achieve improved venture creation outcomes. Further, human and social capital, on their own, exhibit little direct influence on the venture outcomes achieved. These findings confirm action's central place in the venture creation process.

This chapter introduces demographic variables in empirical regression to help find whether demographic changes have an impact on economic growth. There is evidence from estimated values in this chapter to suggest that there is no impact that demographic changes in Hong Kong is affecting the economic growth. The population growth has purely a transition impact where the fertility rate was low in early 2000 up to 2015 as the size of the dependency ratio increases. Besides testing demographic variables the government emphasises better education for all people of ages for prosperous growth but in fact has a negative response on educational investment on the growth of the economy. A well-educated country individual does not suggest a higher productivity in economy growth. An important implication is that there has been no single variable as yet that has seriously impacted the economy growth, but there will be changes in the coming years and has to be attended in result to avoid a diminishing economy.

This paper examines the impact of residents’ human capital investment inequality on the urban–rural income gap, using China’s provincial panel data from 1997 to 2013. The results show that, at the national level as well as at the regional level, residents’ overall human capital investment inequality has a positive significant impact on the urban–rural income gap. In addition, the impact of overall human capital investment inequality increased monotonically from the eastern region inward to the western region. In terms of the relative impact of each component of human capital investment inequality on the urban–rural income gap, migration investment inequality appears to have the greatest impact at the national level, whereas health investment inequality has the greatest impact on the urban–rural income gap in the eastern region, and education investment inequality exhibits the greatest impact in the central and western regions. We also investigate the impact of human capital investment inequality on the urban–rural income gap over different periods. The results show that residents’ overall human capital investment inequality had a positive impact on the urban–rural income gap in the period 1997–2008, but the impact rapidly shrunk in 2009–2013. Furthermore, the impact of residents’ health investment inequality on the urban–rural income gap shows a downward trend, and the impact of residents’ education investment inequality trended slightly upward from 1997 to 2008, and then rapidly shrunk in 2009–2013. Finally, the impact of residents’ migration investment inequality was only significant in 1997–2002.

This chapter presents an exposition on the dynamics of economic development in relation with endogenous growth in as much as the aggregate output derives from capital which comprises of both human and physical capital. It is based on a growth-theoretic assessment of how nations or individual economies behave in term of whether the poorer ones get to catch up with the richer ones over time on capital stock and per capita income. The model developed herein has been shown to generate steady state equilibrium (of both stable and unstable nature) which constitutes a prime departure from endogenous growth theory. Beside this, the study also empirically examines whether there is any convergence in the last two decades (2000–2019) among developing and less developed countries on mean years of schooling (taken as a proxy as an input into human capital formation) in absolute and as well as conditional terms. It provides empirical evidence of convergence among developing and less developed countries on mean years of schooling over a period of 2000–2019 in absolute and conditional terms.

This chapter uses an intellectual capital (IC) qualitative approach for assessing the bio health technologies entrepreneurial ecosystem of a university located in Southern Europe, aiming to identify the role played by IC in fostering the sustainable success of the entrepreneurial ecosystem. There has been limited research dedicated to deepening the knowledge of the entrepreneurial ecosystems’ dimensions, using an IC lens, in the context of university cities with different dimensions. Small cities may not have some dimensions, so developed, comparing with the ones of the ecosystems of large urban centers. This chapter uses a qualitative approach funded in a case study exploring internal and external stakeholders of a Portuguese entrepreneurial ecosystem, UBImedical, targeted at the bio health sector. The study is part of an exploratory study funded in the scope of a European Project, aiming to explore in a pioneering way the application of the dominant triad of capitals forming IC and, thus, identifying and understanding the dimensions of different entrepreneurial ecosystems. The case study reveals that the IC’s dimensions more critical for the success of the bio health entrepreneurial ecosystems are the structural capital and the relational capital, although human capital is perceived as a basic prerequisite for fostering the entrepreneurial ecosystem’s performance. The results are funded in primary and qualitative data collected from the interviews developed to previously identified external and internal stakeholders of this type of entrepreneurial ecosystem under study.

Despite the importance of high-technology firms to the global economy, relatively little is known about factors contributing to these firms’ long-run growth. We examine these factors using a unique longitudinal dataset combining two waves of detailed surveys of 345 UK high-tech firms with performance data from UK official datasets. Overall we conclude that the early strategic decisions made by firms have long-run impacts on their subsequent growth, and we suggest that policy measures targeted at shortfalls faced by these firms may have positive long-term consequences.

Explained pay dispersion theory (Shaw, Gupta, & Delery, 2002) contends that the consequences of pay dispersion depend on two critical contingencies: (1) the presence of legitimate or normatively acceptable dispersion-creating practices, and the (2) identifiability of individual contributions. In this chapter, the first 20 years of empirical evidence and theoretical offshoots of this theory are reviewed. Other recent studies on the outcomes of horizontal and vertical pay dispersion are also evaluated. The review concludes with an evaluative summary of the literature and the identification of several potential fruitful areas for future research.