Managing Impressions in the Face of Rising Stakeholder Pressures: Examining Oil Companies’ Shifting Stances in the Climate Change Debate

In this paper, we examine how organizations’ impression management (IM) evolves in response to rising stakeholder pressures regarding organizations’ corporate responsibility initiatives. We conducted a comparative case study analysis over a period of 13 years (1997–2009) for two organizations—Exxon and BP—that took extreme (but different) initial stances on climate change. We found that as stakeholder pressures rose, their IM tactics unfolded in four phases: (i) advocating the initial stance, (ii) sensegiving to clarify the initial stance, (iii) image repairing, and (iv) adjusting the stance. Taken together, our analysis of IM over these four phases provides three key insights about the evolution of IM in the face of rising pressures. First, when faced with stakeholder pressures, it seems that organizations do not immediately resort to conforming but tend to give in gradually when pressures increase and start to come from relatively powerful stakeholders. Second, evolution of IM seems to be characterized by path dependence, i.e., even as organizations’ positions evolve, they continue to show their conviction in their initial positions and try to convey that their subsequent positions flow logically from the previous ones. Finally, IM involves navigation between symbolism and substance, and companies tend to strive toward harmonizing their symbolic and substantive actions as stakeholder pressure increases.     

A socio‐economic assessment of cowpea diversity on the Ghanaian market: implications for breeding

Given the importance of cowpea [Vignaunguiculata(L)Walp] in fighting malnutrition and poverty, a socio‐economic assessment of cowpea diversity found on the Ghanaian market was conducted. The objective was to investigate emerging consumer preference for cowpea and make recommendations for the development of tailor‐made varieties. Forty‐seven cowpea accessions were collected from traders interviewed for morphological characterization to ascertain the degree of diversity. Data was subjected to Hierarchical Cluster Analysis using Genstat Discovery Edition 3 software and variations among the cowpea varieties based on the selected seed traits established. Cowpea varieties found on the markets were broadly categorized into foreign and local varieties and usually named after their sources. Foreign Cowpea varieties were very popular on the markets surveyed as reflected in the per cent distribution of respondents by cowpea varieties sold; Niger (52%), Burkina Faso (50%), Togo (46%), Lagos (36%) and Ghana (18–21%). At the trader level, the order of preference for cowpea characteristics was cleanliness (stone free and no dirt), colour (white seed colour), easy to cook, taste, size, less weevil damage, dryness and place of origin ranked in decreasing order of importance. At the consumer level, cleanliness that was also tied to the extent of weevil damage was ranked most important. This was followed by seed colour (preferable white), short cooking time, size and taste. From the sociological perspective, concerns are raised on the impact of past cowpea breeding activities giving the level of competitiveness and market performance of locally improved varieties observed. Recommendation is made for traders and consumers to be considered as relevant actors in all the stages of crop improvement and breeding activities. This is crucial for enhanced small‐holder farmer market access and strengthened food networks in rural economies.     

Structure and Dynamics of Livestock Marketing in Rural Uganda: Constraints and Prospects for Research and Development

ABSTRACT

The projected global expansion in consumption of meat and other livestock products potentially offers sub-Saharan African small-holder farmers opportunities to escape from the poverty trap. A necessary condition for exploiting this potential is the establishment of marketing systems that provide farmers with reasonable incentives to participate in the market. In this study, the functioning of livestock markets in rural Uganda is analyzed based on a survey of 401 livestock keepers, complimented with focus group discussions with livestock traders and policy planners. The first part is dedicated to the empirical analysis of key organizational and institutional arrangements. Constraints along the marketing chain as well as potential institutional solutions are illuminated. The second part is dedicated to propositions of new areas where more work and new results are needed to improve the functioning of the livestock marketing chain. Empirical findings indicated the following institutional constraints: a poor market information system, lack of grades and standards, lack of trade finance, poor contract enforcement and dispute settlement, disorganized actors, high transaction risks, and poorly developed marketing infrastructure. The study recommends a structured approach to livestock marketing, market infrastructure development, and emphasis on arbitration systems as specific ways of improving the efficiency of livestock marketing in Uganda and other developing countries.     

Determinants of the Willingness of Belgian Farmers to Participate in Agri‐environmental Measures

This paper explores the willingness of Belgian farmers to participate in two voluntary agri‐environmental policies. Farmers' contingent behaviour is analysed on the basis of survey data. Derivations based on a conceptual micro‐economic model indicate that decision subject and decision maker characteristics are important for farmers' participation. The model is empirically tested through the specification and estimation of a probit model. Consistency is found between the theoretical framework and the empirical results indicating that both the expected effect on farm production and the farmers' environmental attitude, which is more positive among younger and better educated farmers, are significant determinants of the acceptance rate of agri‐environmental policies. Other variables which influence participation decisions are farm size and previous experience of farmers themselves or of neighbouring farmers with agri‐environmental measures.     

Engendering Economic Recovery: Modeling Alternatives to Austerity in Europe

This article explores a gendered expansionary macroeconomic scenario for Europe as an alternative to current austerity policies over the medium term. Using a non-equilibrium structuralist macroeconomic model, it demonstrates that the dual aim of economic growth and increases in men’s and women’s employment can be achieved by adopting gender-sensitive expansionary macroeconomic policies. Based on historical data series, three scenarios for Europe for the 2015–25 period are compared: continued austerity, a gender-neutral expansionary scenario, and a gendered expansionary scenario. Projections for the gendered expansionary scenario suggest that 7.4 million more jobs could be created for women in the Eurozone and United Kingdom by reversing austerity policies and gendering and increasing government expenditure and private investment. Further, higher growth rates under this scenario lead to significant reductions of debt-to-GDP ratios and lower budget deficits. The study recommends Europe should roll back austerity policies and embark on a new gender-aware economic trajectory.     

JOB SEARCH WITH BIDDER MEMORIES*

This article revisits the no‐recall assumption in job search models with take‐it‐or‐leave‐it offers. Workers who can recall previously encountered potential employers in order to engage them in Bertrand bidding have a distinct advantage over workers without such attachments. Firms account for this difference when hiring a worker. When a worker first meets a firm, the firm offers the worker a sufficient share of the match rents to avoid a bidding war in the future. The pair share the gains to trade. In this case, the Diamond paradox no longer holds.     

Optimal simple rules and the lower bound on the nominal interest rate in the Christiano–Eichenbaum–Evans model of the US business cycle

Schmitt-Grohé and Uribe (NBER wp 10724, 2004b) analyzes the optimal, simple and implementable monetary policy rules in a medium-scale macromodel, as the one proposed by Christiano et al. (J Polit Econ 113:1–45, 2005). In doing so, they use a sensible, but somewhat arbitrary constraint to account for the lower bound condition on the nominal interest rate. In this work, we check the robustness of their main results to such a criteria. We find that the optimal policies are actually absolutely robust to the easing of this criterion for all the different cases considered.

Attaching Workers through In-Kind Payments: Theory and Evidence from Russia

External shocks may cause a decline in the productivity of fixedcapital in certain regions of an economy. Exogenous obstaclesto migration make it hard for workers in those regions to reallocateto more prosperous regions. In addition, firms may devise "attachment"strategies to keep workers from moving out of a local labormarket. When workers are compensated in kind, they find it difficultto raise the cash needed for migration. This endogenous obstacleto migration has not yet been considered in the literature.The article shows that the feasibility of attachment dependson the inherited structure of local labor markets: attachmentcan exist in equilibrium only if the labor market is sufficientlyconcentrated. Attachment is beneficial for both employers andemployees but hurts the unemployed and the self-employed. Ananalysis of matched household-firm data from the Russian Federationcorroborates the theory.     

Kernel-weighted GMM estimators for linear time series models

This paper analyzes the higher-order asymptotic properties of generalized method of moments (GMM) estimators for linear time series models using many lags as instruments. A data-dependent moment selection method based on minimizing the approximate mean squared error is developed. In addition, a new version of the GMM estimator based on kernel-weighted moment conditions is proposed. It is shown that kernel-weighted GMM estimators can reduce the asymptotic bias compared to standard GMM estimators. Kernel weighting also helps to simplify the problem of selecting the optimal number of instruments. A feasible procedure similar to optimal bandwidth selection is proposed for the kernel-weighted GMM estimator.