Global value chains,large-scale farming,and poverty: Long-term effects in Senegal

This paper presents panel data evidence on the impact of expansion of global value chains and large-scale export-oriented farms in developing countries over almost a decade. We estimate the income effects of wage employment on large-scale farms in the horticultural export sector in Senegal, using data from two survey rounds covering a seven-years period of rapid expansion of the sector. We estimate average income effects as well as heterogeneous income effects, using fixed effects and quantile fixed effects regressions. We find that poverty and inequality reduced much faster in the research area than elsewhere in Senegal. Employment in the horticultural export sector is associated with higher household income and the income effect is strongest for the poorest households. Expansion of the horticultural export sector in Senegal has been particularly pro-poor through creating employment that is accessible and creates substantial income gains for the poorest half of the rural population. These pro-poor employment effects contrast with insights in the literature on increased inequality from rural wage employment.     

Gender,Decent Work,and Global Production Sharing in Indonesian Manufacturing

Abstract:

Global commodity chains reflect and affect gendered labor markets. This article uses the Decent Work framework from the International Labour Organization to analyze employment outcomes for Indonesian workers in manufacturing. This research investigates trends in feminized manufacturing sectors in variously sized firms. Regression analyses is used to evaluate how firm characteristics related to global production sharing effect decent work outcomes for women and men, as well as female share of employment itself. The results suggest that exports and FDI affect men and women differently and that feminization and decent work outcomes depend on how the sector is positioned along the global value chain.     

Environmental Innovations and Internationalization: Theory and Practices

Based on original data on Italian firms specializing in medium‐ and low‐tech industries, we study the relationship between firms’ upstream and downstream internationalization and their propensity to introduce products or processes that reduce environmental impact. Preliminary evidence suggests that geography plays an important role in green firms’ activities and supply chains. More precisely, results suggest that firms that outsource to and rely on non‐local suppliers are less likely to engage in environmental innovations. Moreover, we verify that firms engaged in export activities play a similar and negative role, regardless of the export intensity and typology of foreign markets (i.e. developed versus emerging). Tapping global flows of knowledge by being a part of a multinational group positively spurs the development of green innovations, as for FDIs. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

Semi-parametric dynamic asymmetric Laplace models for tail risk forecasting,incorporating realized measures

This paper extends the joint Value-at-Risk (VaR) and expected shortfall (ES) quantile regression model of Taylor (2019), by incorporating a realized measure to drive the tail risk dynamics, as a potentially more efficient driver than daily returns. Furthermore, we propose and test a new model for the dynamics of the ES component. Both a maximum likelihood and an adaptive Bayesian Markov chain Monte Carlo method are employed for estimation, the properties of which are compared in a simulation study. The results favour the Bayesian approach, which is employed subsequently in a forecasting study of seven financial market indices. The proposed models are compared to a range of parametric, non-parametric and semi-parametric competitors, including GARCH, realized GARCH, the extreme value theory method and the joint VaR and ES models of Taylor (2019), in terms of the accuracy of one-day-ahead VaR and ES forecasts, over a long forecast sample period that includes the global financial crisis in 2007–2008. The results are favorable for the proposed models incorporating a realized measure, especially when employing the sub-sampled realized variance and the sub-sampled realized range.     

The role of intermediaries in establishing a sustainable supply chain

In sustainable supply chain management, buyers may use intermediaries to bridge exchanges with suppliers when knowledge of suitable sustainability practices is weak and in need of facilitation. Understanding how supply chain intermediaries perform this role and what happens when intermediation is no longer needed is important in establishing more sustainable supply chains. Two supply chain intermediaries have been investigated with the resulting case study evidence analysed using the Gioia methodology. The findings suggest supply chain intermediaries add value to the buyer-supplier exchange by facilitating sustainability-related information transfer, knowledge development, risk management and improved capabilities. For example, specific practices such as corrective action reports, often managed by the intermediary, underpin the development of a sustainable supply chain. When the intermediary is no longer needed, they become disintermediated from the specific buyer-supplier exchange but may be re-employed in a new triadic relationship in the future with previous parties. This provides positive spill-over effects through intermediation–disintermediation–post-intermediation cycles for both the buyer and supplier populations and for broader society. Overall, the findings highlight the value of the transient position of supply chain intermediaries in establishing sustainable supply chains and the intended consequences of their involvement.     

Contagion effects and risk transmission channels in the housing,stock, interest rate and currency markets: An Empirical Study in China and the U.S.

This paper aims to investigate the crisis linkage and transmission channels within the housing, stock, interest rate and the currency markets in the U.S. and China in the past decade since the 2008 Subprime Mortgage Crisis. Two hybrid models, namely the SWARCH-EVT-Copula and the Bivariate SWARCH-EVT models, are proposed and applied in order to take into account (A) the high/low volatility regimes, (B) the interdependence structure inherited from the joint tail behaviours, as well as, (C) the risk spillover dynamics among financial sectors during market turmoils. We empirically show that the housing and stock markets share the strongest linkage and play central roles in the spreading of shocks. With a highly integrated system, the American financial sectors are under greater exposure to risk contagion and systemic risk during crises than the Chinese markets. Nevertheless, the exchange rate risk of Renminbi remains at an intensive level since its “crawl-like arrangement” and leads to increasing co-movements in the stock and interest rate markets since 2014.     

Corporate social responsibility in international hotel chains and its effects on local employees: Scale development and empirical testing in China

This study aims to investigate the corporate social responsibility (CSR) practices of international hotel chains operating in China and their effects on local Chinese employees. As CSR practices vary across countries and contexts, this study developed a scale of CSR metrics, which was based on CSR reports published by international hotel chains in China and a comprehensive literature review. Subsequently, the proposed model, which depicts the relationships between CSR practices and local employee work metrics, was tested with a PLS-SEM. Multiple phases of qualitative and quantitative investigations of 2451 local Chinese employees of international hotel chains allowed for validating a formative construct of CSR with four dimensions: environment protection, employee wellness, business ethics, and customer wellness. The PLS-SEM results confirmed the significant effects of CSR practices of international hotel chains in China on local Chinese employee engagement, commitment, job satisfaction, and organizational citizenship behaviors. Theoretical and practical implications are presented.     

Cooperative game analysis of coordination mechanisms under fairness concerns of a green retailer

This study discusses how a green retailer's fairness concerns affect product greenness and profit and explores how to distribute surplus profits under the fairness concerns using cooperative game theory. Research findings indicate that cooperation contributes to increasing channel profits and improving product greenness, but the fairness concerns are detrimental to them. The three proposed coordination mechanisms (SVM, NSM, and TVM) are feasible to ensure coalition stability, but their beneficiaries differ. NSM benefits a manufacturer, while SVM benefits retailers. Additionally, the green retailer's fairness concerns serve as distribution tools to narrow profit gaps between the manufacturer and the green retailer.     

Upgrading peripheral wind sectors

The implementation of traditional policies does not consider institutional singularities in peripheral sectors. The main aim of this paper is to analyse the interaction among local capabilities and multinational agents to upgrade a peripheral wind sector. The case study conducted in the peripheral region of Galicia (Spain) emphasises the challenges concerning policy design and implementation in this kind of regions. The theoretical foundations are based on the systemic and evolutionary approach of the innovation system and the global value chain perspective. This combination enables to analyse how local contexts could shape governance patterns within value chains in peripheral regions. Likewise, the target approach is also applied concerning the design and implementation of a policy programme and its timing. Empirical evidences underline the complementarity of market size and foreign direct investment policies, as well as the diversification towards green transitions through enhancing local capabilities.     

State dependence in access to credit

This paper investigates whether firms’ access to credit is characterized by state dependence. We introduce a first-order Markov model of credit restriction with sample selection that makes it possible to identify state dependence in presence of unobserved heterogeneity. The results, based on a representative sample of Italian firms, show that state dependence in access to credit is a statistically and economically significant phenomenon and that this is more prominent among medium-large firms.