Which Gender Wage Gap Estimates to Trust? A Comparative Analysis

The aim of this paper is to compare estimates of the adjusted wage gap from different methods and sets of conditioning variables. We apply available parametric and non‐parametric methods to LFS data from Poland for 2012. While the raw gap amounts to nearly 10 percent of the female wage; the adjusted wage gap estimates range between 15 percent and as much as 23 percent depending on the method and the choice of conditional variables. The differences across conditioning variables within the same method do not exceed 3pp, but including more variables almost universally results in larger estimates of the adjusted wage gaps. Methods that account for common support and selection into employment yielded higher estimates of the adjusted wage gap. While the actual point estimates of adjusted wage gap are slightly different, all of them are roughly twice as high as the raw gap, which corroborates the policy relevance of this methodological study.     

Are medium‐scale farms driving agricultural transformation in sub‐Saharan Africa?

This study presents evidence of profound farm‐level transformation in parts of sub‐Saharan Africa, identifies major sources of dynamism in the sector, and proposes an updated typology of farms that reflects the evolving nature of African agriculture. Repeat waves of national survey data are used to examine changes in crop production and marketed output by farm size. Between the first and most recent surveys (generally covering 6 to 10 years), the share of national marketed crop output value accounted for by medium‐scale farms rose in Zambia from 23% to 42%, in Tanzania from 17% to 36%, and in Nigeria from 7% to 18%. The share of land under medium‐scale farms is not rising in densely populated countries such as Kenya, Uganda, and Rwanda, where land scarcity is impeding the pace of medium‐scale farm acquisitions. Medium‐scale farmers are a diverse group, reflecting distinct entry pathways into agriculture, encouraged by the rapid development of land rental, purchase, and long‐term lease markets. The rise of medium‐scale farms is affecting the region in diverse ways that are difficult to generalize. Findings indicate that these farms can be a dynamic driver of agricultural transformation but this does not reduce the importance of maintaining a clear commitment to supporting smallholder farms. Strengthening land tenure security of local rural people to maintain land rights and support productivity investments by smallholder households remains crucial.     

Impact of information and communication technologies on fertilizer and pesticide use efficiency of China's grain production

Based on a panel data from National Rural Fixed Point Survey (NRFP), this study explored the effects of information and communication technologies (ICTs) on the fertilizer and pesticide use efficiency of China's grain production and the mechanisms using stochastic frontier analysis (SFA) and two-way fixed-effects model with two-stage least square (2SLS) estimation. The results show that the average fertilizer use efficiency (FE), pesticide use efficiency (PE) and comprehensive fertilizer and pesticide use efficiency (CFPE) of grain production were 0.286, 0.404, and 0.364 respectively during 2003–2011. It should be noted that the CFPE decreased by 48.39% during 2003–2011 and showed a descending trend in all regions. ICTs had significant positive effects on FE, PE, and CPFE which could be explained by providing farmers more sustainable knowledge and hence shifting farming practices from overusing fertilizer towards using farmyard manure as a substitute. ICTs' positive effects were more pronounced for farmers with higher-level education and in central region. Additionally, ICTs had significant spillover effects, extending from users to nonusers within the villages. These results suggest that ICTs could be considered as an effective way to increase the fertilizer and pesticide use efficiency and promote the sustainable development of agriculture in China.     

The location of cross-border and national mergers and acquisitions within the United States

Research on the location choice of foreign direct investment (FDI) focuses on the choice between countries. The within-country location choice is either not analyzed at all or restricted to greenfield investments only. The majority of FDI, however, takes the form of cross-border mergers and acquisitions (M&As). We develop and test a pair of hypotheses regarding location-target selection for both cross-border and national M&As across the United States, expecting differences in line with the liability of foreignness argument. Using a detailed firm-level data set for M&As in the period 1985–2012, we compare location choices of cross-border versus national M&As. We find that cross-border M&As are more spatially concentrated, and tend to sort into larger agglomerations than national M&As. This finding holds both for urban agglomerations in isolation, as well as for agglomerations that take the economic geography of the United States into account.     

Do data policy restrictions inhibit trade in services?

Review of World Economics - This paper examines whether restrictive data policies are related to trade in services. The authors have collected comparable information on a variety of policy measures...     

Nowcasting GDP using machine-learning algorithms: A real-time assessment

Can machine-learning algorithms help central banks understand the current state of the economy? Our results say yes! We contribute to the emerging literature on forecasting macroeconomic variables using machine-learning algorithms by testing the nowcast performance of common algorithms in a full ‘real-time’ setting—that is, with real-time vintages of New Zealand GDP growth (our target variable) and real-time vintages of around 600 predictors. Our results show that machine-learning algorithms are able to significantly improve over a simple autoregressive benchmark and a dynamic factor model. We also show that machine-learning algorithms have the potential to add value to, and in one case improve on, the official forecasts of the Reserve Bank of New Zealand.     

Analyzing companies' interactions with the Sustainable Development Goals through network analysis: Four corporate sustainability imperatives

The alignment between corporate strategies and the Sustainable Development Goals (SDGs) can be an indicator of long-term sustainability success. But which types of companies are most, and which are least, aligned with the SDGs? This paper scores how 67 economic activities—as a proxy for companies' operations and the goods or services they deliver—interact with 59 SDG targets. It then uses network analysis to define which activities are most and least aligned with the SDG Agenda. The results reveal four types of corporate activities, each having a strategic sustainability imperative: (i) “core activities” predominantly generate positive, while having few negative, impacts on the SDGs, challenging companies to scale their contributions to further align with the SDG Agenda; (ii) “mixed activities” have moderate/high degrees of both negative/positive impacts, posing a decoupling imperative; (iii) “opposed activities” provide few benefits yet cause significant adverse impacts, implying that companies must transform in order to better align with the SDGs; and (iv) “peripheral activities” have immaterial positive and negative impacts, creating an imperative to explore innovative avenues for creating SDG contributions. Detailed network graphs are presented that map companies' interactions with the SDGs and guide the creation of corporate sustainability strategies. Policy implications include the potential for using companies' activities as a lever for adopting a “nexus approach” to the SDGs.     

Notes and debate paper: Should merchandising and sourcing be worlds apart? The opportunity for more integrated strategic sourcing research

Whereas retailers are some of the biggest buyers that have some of the highest percentages of external spend as a share of revenue, they are not typically included in strategic sourcing research. Strategic sourcing research originated with a focus on supplies for manufacturing. But the strategic sourcing of merchandise by retailers is not as commonly studied. Merchandise sourcing is often approached very differently from manufacturing sourcing and often different teams of buyers with different roles and responsibilities are involved. Leveraging author industry experience and interviews with strategic sourcing executives in manufacturing and merchandise sourcing this notes and debate paper compares strategic sourcing across these domains and identifies fruitful research opportunities for developing a more comprehensive supply chain approach to strategic sourcing research.     

Positioning Strategies for Animal-Friendly Products: A Social Dilemma Approach

Many consumers express concerns about the welfare of animals in agriculture, but often refrain from purchasing animal-friendly alternatives that address their concerns. To support consumers in making choices in line with their values and attitudes, this study approaches consumer animal-friendly product choice as a dilemma between maximizing the buyer's self-interest and maximizing societal interest. To address this social dilemma, we developed and tested positioning strategies that reinforce the animal welfare label with complementary consumption values (functional, emotional, social, and epistemic). The results from a choice experiment with Dutch chicken meat shoppers showed that two strategies—emotional and epistemic—effectively increase consumer value perceptions. These insights imply that animal-friendly products positioned to invoke emotion or curiosity drive consumers towards animal-friendly product choices, and that these strategies are most effective for consumers who base their choice solely on maximizing either self-interest or societal interest.