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Chinese multinational enterprises’ (MNEs) unprecedented, aggressive cross-border mergers and acquisitions (CBMAs) have led to several studies examining Chinese CBMAs, which importantly has also led to some degree of “theorising”. This study aims to undertake a “non-theoretical” fact-finding exercise before any theorising and empirical “causal” examination for a better understanding of the phenomenon (the rise of Chinese CBMAs).

This study uses a “stylised facts” approach which documents “empirical regularities” concerning Chinese CBMAs and thus guides new research questions.

Several facts are documented. Firstly, both the value and frequency of Chinese CBMAs are catching up to greenfield investments, with CBMA deals being larger in scale but lower in frequency. Secondly, Chinese CBMAs show a global reach away from the regional orientation of their early years. Thirdly, Chinese MNEs are possibly transforming their value chain with industrial upgrading as an aim. Fourthly, Chinese “full” acquisitions of targets have surged, especially in OECD countries, suggestive of Chinese MNEs’ “radical” acquisition approaches.

The gathered facts lend support to the view of the need for such fact-finding exercises to explicate and shed “new” light on the phenomenon (beyond our “current” views/beliefs). An understanding of the underlying trends beyond bare facts can also identify new knowledge, which can in turn provide new directions for research.

The purpose of this paper is to suggest a bibliometric method for designing agent-based models (ABMs) in entrepreneurship research. The application of this method is illustrated with an exemplary agent-based modeling and simulation (ABMS) regarding the early venture growth process. This bibliometric approach invigorates the utilization of ABMS as a viable research methodology in process-oriented entrepreneurship research.

In the bibliometric method, a domain corpus composed of scholarly articles is established and systematically analyzed through co-word analysis to discern essential concepts (i.e. agents, objects, and contexts) and their interrelations. The usefulness of the bibliometric method is elucidated by constructing an illustrative ABMS.

The bibliometric method for designing ABMs identifies essential concepts in the entrepreneurship literature and provides contexts in which the concepts are interrelated. The illustrative ABMS based on these concepts and interrelations accurately and consistently reproduces the emergence of power-law distributions in venture outcomes consistent with empirical evidence, implying further merit to bibliometric procedures.

The proposed method can be used not only to build simple models with essential concepts, but also to build more complex models that take a large number of concepts and their interrelations into consideration.

This study proposes a bibliometric method for designing ABMs. The proposed method extends similar procedures that are limited to thematic or cluster analysis by examining the semantic contexts in which the concepts co-occur. This research suggests that ABMS from bibliographic sources can be built and validated with empirical evidence. Several considerations are provided for the combined utilization of the bibliometric method and ABMS in entrepreneurship.

Nonfamily farms are responsible for a disproportionate amount of US agriculture production. The importance of these operations to the volume of agriculture production in the United States has led researchers and policymakers to understand nonfamily farms as large commercial operations. This paper examines whether the distinction between family and nonfamily helps explain the financial outcomes of farm operations and households.

We test for differences in financial outcomes of the household and operations of family and nonfamily farms using an Oaxaca-Blinder decomposition. We compare these results to a decomposition of other possible typologies.

We present evidence that nonfamily farms are a heterogeneous group with a majority of small operations that are dominated by a small number of large operations. We discover that differences associated with the family-nonfamily distinction are largely explained by observable farm and operator characteristics that arise mechanically from the definition. However, we find suggestive evidence that family-nonfamily classification captures differences in economic behavior that lead to higher profitability measures to nonfamily farms. We find little evidence of any inherent structural differences between family and nonfamily farms that helps explain financial outcomes related to leverage or household finances.

We conclude that including nonfamily farms in official statistics of farm households may provide a more comprehensive overview of the farm sector, as our results suggest that family and nonfamily farms do not have innate differences that help explain many of their financial outcomes.

We incorporate previously unused data on nonfamily farm households and test the difference in mean financial outcomes between family and nonfamily farms.

This study aims to examine the nexuses between economic growth, trade openness, renewable energy consumption and environmental degradation among organization of petroleum exporting countries (OPEC) members over the period 1990–2019.

The empirical strategy for the study includes dynamic heterogeneous panel pooled mean group (PMG), mean group (MG) estimators and dynamic panel threshold regression (TR) analysis. For clarity, PMG and MG are used to explore the long-run relationship between the variables, whereas TR is used to uncover the actionable and complementary policy thresholds in the nexuses between green growth and environmental degradation.

The empirical evidence is based on the significant estimates from PMG and TR. First, using PMG, the study finding revealed a long-run relationship between economic growth and environmental degradation via the PMG estimator. Second, using TR, the study revealed an actionable threshold for carbon dioxide emissions (CO₂) metrics tons per capita (mtpc) not beyond a critical mass of 4.88mtpc, and the complementary policy threshold of 85% of the share of trade to gross domestic product, respectively.

The policy relevance of the thresholds is apparent to policymakers in the cartel and for policy formulation. The policy implication of this study is straightforward.

The novelty of this study stalk in the extant literature on providing policymakers with an actionable threshold for CO₂ emissions with the corresponding complementary threshold for trade policies in the nexuses between green growth and the environment.

The purpose of this paper is to assess the correlations between mobile banking and inclusive development (poverty and inequality) in 93 developing countries for the year 2011.

Mobile banking entails the following: “mobile phones used to pay bills” and “mobile phones used to receive/send money”, while the modifying policy indicator includes the human development index (HDI). The data are decomposed into seven sub-panels based on two fundamental characteristics: regions (Latin America, Asia and the Pacific, Central and Eastern Europe, and Middle East and North Africa) and income levels (upper middle income, lower middle income and low income).

The results show that at certain thresholds of the HDI, mobile banking is positively linked to inclusive development. The following specific findings are established. First, the increased use of mobile phones to pay bills is negatively correlated with: poverty in lower-middle-income countries (LMIC), upper-middle-income countries (UMIC) and Latin American (LA) countries, respectively, at HDI thresholds of 0.725, 0.727 and 0.778 and inequality in UMIC and LA with HDI thresholds of, respectively, 0.646 and 0.761. Second, the increased use of mobile phones to send/receive money is negatively correlated with: poverty in LMIC, UMIC and Central and Eastern European (CEE) countries with corresponding HDI thresholds of 0.631, 0.750 and 0.750 and inequality in UMIC, CEE and LA at HDI thresholds of 0.665, 0.736 and 0.726, respectively.

The findings are discussed in the light of current policy challenges in the transition from the UN’s Millennium Development Goals to Sustainable Development Goals.

The authors have exploited the only macroeconomic data on mobile banking currently available.

This paper estimates the conditional hazard baseline (term-structure) of the hazard rate to default at the time of bonds’ issuance by using two hazard models–one ignoring and another allowing unobserved heterogeneity (UH) in the hazard rate. Following Diamond (1989) one can predict a declining hazard rate to default due to adverse selection and moral hazard. After controlling for UH caused by adverse selection and time-series shocks, the hazard rate shows to be increasing over time and hence the moral hazard effect cannot be confirmed.

This paper aims to investigate the relationship between structural change and economic growth for a panel of four developing countries, namely, Malaysia, Nigeria, Turkey and Indonesia over 1960-2010.

The study extent the growth equation by incorporating degree of openness, labour and investment and construct structural change indices – modified Lilien index and the norm of absolute values. It utilizes the recently developed panel cointegration techniques to test and estimate the long-run equilibrium of the growth equation.

The results confirm that structural change and economic growth are cointegrated at the panel level, indicating the presence of long-run equilibrium relationship. However, the impact of structural change on economic growth seems to be small and evolve slowly.

The findings indicate the need for policymakers to identify the binding constraints that impede growth and the importance of institutionalize policy to encourage investment in productive sectors.

This chapter argues that models trying to explain the spread of drug use should not be based on standard epidemiological models developed to describe the spread of infectious diseases. The main weaknesses of the standard model are the lack of attention to micro-foundations and the inappropriateness of several of its assumptions in the context of drug use. An approach based on mechanisms and social interaction is argued to provide a promising alternative to the standard approach. To illustrate this, a model of the spread of drugs based on two mechanisms has been developed (observational learning and social stigma). Lastly, some of the difficulties in testing and deriving policy implications in these models are discussed.

The purpose of this paper is to analyse a standard grand canonical minority game (MG).

Agents are divided into two groups: speculators, who trade adaptively, and producers who trade deterministically. Information acts on the amount of the two types in the system, modifying the share.

When the system is out of equilibrium, stylized facts arise, such as fat tailed distribution of returns and volatility clustering. If speculators abandon price taking behavior, stylized facts disappear.

The modified MG presented here is able to reproduce qualitatively a whole range of stylized facts. Most importantly, its quite rich behavior can be studied analytically.