Search results

In recent years, decision-making regarding business growth has attracted the attention of many researchers. Also, considering the importance of scale in startups for their survival and the development of economies, investigating the scalability of startups in emerging markets that are booming, can be useful. Scaling for international business has taken on a new meaning: they must be leaders in both emerging as well as advanced markets; they must be responsive to customers in both departments, which require tremendous innovation and agility; they have to build the competency needed in designing, developing, and marketing the opposite for advanced world markets; and they need to demonstrate rapid decision-making, innovation, and opportunism in delivery to the cost-sensitive underdeveloped markets. As a result, decision-making about the scale of start-ups at the international level plays an important role. The internationalisation of start-up activities is an extremely important and attractive topic among researchers, entrepreneurs, and practitioners. But there is very little research and also projects on the internationalisation of start-up venture activities, particularly after the gain of scaling and exponential growth.

A semiparametric stochastic frontier model is proposed for panel data, incorporating several flexible features. First, a constant elasticity of substitution (CES) production frontier is considered without log-transformation to prevent induced non-negligible estimation bias. Second, the model flexibility is improved via semiparameterization, where the technology is an unknown function of a set of environment variables. The technology function accounts for latent heterogeneity across individual units, which can be freely correlated with inputs, environment variables, and/or inefficiency determinants. Furthermore, the technology function incorporates a single-index structure to circumvent the curse of dimensionality. Third, distributional assumptions are eschewed on both stochastic noise and inefficiency for model identification. Instead, only the conditional mean of the inefficiency is assumed, which depends on related determinants with a wide range of choice, via a positive parametric function. As a result, technical efficiency is constructed without relying on an assumed distribution on composite error. The model provides flexible structures on both the production frontier and inefficiency, thereby alleviating the risk of model misspecification in production and efficiency analysis. The estimator involves a series based nonlinear least squares estimation for the unknown parameters and a kernel based local estimation for the technology function. Promising finite-sample performance is demonstrated through simulations, and the model is applied to investigate productive efficiency among OECD countries from 1970–2019.

We take Cumulative Prospect Theory (CPT) seriously by rigorously estimating structural models using the full set of CPT parameters. Much of the literature only estimates a subset of CPT parameters, or more simply assumes CPT parameter values from prior studies. Our data are from laboratory experiments with undergraduate students and MBA students facing substantial real incentives and losses. We also estimate structural models from Expected Utility Theory (EUT), Dual Theory (DT), Rank-Dependent Utility (RDU), and Disappointment Aversion (DA) for comparison. Our major finding is that a majority of individuals in our sample locally asset integrate. That is, they see a loss frame for what it is, a frame, and behave as if they evaluate the net payment rather than the gross loss when one is presented to them. This finding is devastating to the direct application of CPT to these data for those subjects. Support for CPT is greater when losses are covered out of an earned endowment rather than house money, but RDU is still the best single characterization of individual and pooled choices. Defenders of the CPT model claim, correctly, that the CPT model exists “because the data says it should.” In other words, the CPT model was borne from a wide range of stylized facts culled from parts of the cognitive psychology literature. If one is to take the CPT model seriously and rigorously then it needs to do a much better job of explaining the data than we see here.

Creating high quality, liveable urban settings that facilitate a transition to lower carbon living and work environments is central to achieving more sustainable cities and communities. For over two decades, city builders and planners have advocated compact growth to facilitate these transformations. The impact of the COVID-19 pandemic has heralded a conceptual shift in debates on urban density, mobility and accessibility with the idea of the ‘15-minute city’ (Moreno, 2016) gaining increased prominence and traction among policymakers. Popularised by Mayor Anne Hidalgo of Paris, proximity and accessibility, together with density, underpin an ideal that privileges the relocalisation of work, home and leisure activities. Broadly described, the concept centres on the (re)development of urban neighbourhoods where basic services – access to public transport, grocery, social and healthcare, leisure and amenity – can be provided within a 10-, 15- or 20-minute walk or cycle from home. Since the publication of the National Planning Framework in 2018, more compact urban growth has become a core principle underpinning spatial planning at a range of scales in Ireland and the development of low-carbon and vibrant urban centres is now a key objective of Irish policymakers. The Southern Regional Assembly has been promoting the ‘10-minute town’ ideal through its Regional Spatial and Economic Strategy (RPO 176) and pilot projects in 3 medium sized towns (Carlow, Tralee and Ennis). However, scaling up the concept to accommodate the region's larger cities is relatively unexplored. As the smallest of the three cities in the southern region, and with significant redevelopment potential at the heart of the urban core, Waterford is in a dynamic position to accommodate the 15-minute concept. Furthermore, Waterford's more recent population growth suggests the need to cement the 15-minute city concept as a baseline for the design of the city as it develops and evolves in both new and emerging neighbourhoods. This chapter examines the potential and challenges of embracing the 15-minute city concept in Waterford as a way to meet the objectives set out in the National Planning Framework, Regional Spatial and Economic Strategy and by Waterford City Council, and discusses lessons for the Irish context more broadly. The chapter concludes that while the framework conditions for success appear to be largely in place, whether the governance and political system at the metropolitan and local levels is courageous enough to embrace and harness these opportunities remains to be seen.

Higher education institutions (HEIs) are increasingly recognizing that their unique functions and expertise in research, education, and community leadership make them essential societal partners for helping achieve the Sustainable Development Goals (SDGs). However, the sector is not reaching its full potential, or acting fast enough, given the dire state of global progress on the SDGs. There has been a growing recognition that higher education’s (HE) ability to scale up action on the SDGs is hampered by a range of systemic and structural barriers within institutions, the HE sector, and the local and global contexts more broadly. However, many of these barriers and the potential solutions for overcoming them have been known for years, and a key challenge HE now faces is how to put these changes into practice. In this chapter, we build on insights from the work of the Sustainable Development Solutions Network (SDSN) and others on system transformations for sustainable development, as well as our own work on HE engagement with the SDGs, to propose several ‘meta’ reasons that might be hampering efforts to scale up HE action on the SDGs, as well as some suggested approaches for addressing them. These approaches include treating HE as a system, defining better the outcomes we are aiming for, employing adaptive leadership approaches, and investing in genuine partnerships. While a detailed treatment of these approaches is beyond the scope of this chapter, we hope to encourage the HE community to look at this old problem in new ways.