Gender Inequality and Economic Growth in Rural China

This article joins the debate over the effect of market-driven economic development on women's work opportunities and household gender inequalities. It assesses women's opportunities for off-farm employment, the relative contributions of female off-farm workers to household income, and the distribution of power in families whose male members have left for off-farm jobs, leaving women behind in agricultural work. We find that women are not uniformly excluded from opportunities for off-farm employment and that economic development does not uniformly increase gender inequalities within Chinese households. Although men are more likely than women to obtain off-farm employment in China, women's opportunities for off-farm work improve significantly when the coexistence of local and regional marketization creates a shortage of male workers and compels employers to hire women. The relative size of contributions to household income for male and female nonfarm workers also narrows incrementally with increased marketization. In addition, women who are left in agricultural work are more likely to become heads of household, a position which brings greater household decision-making power to female family members.     

A Comparison of Two Data Analysis Training Methods for Paraprofessionals in an Educational Setting

Analyzing and using student educational data to guide instructional programming is a critical staff skill to ensure quality programming based on applied behavior analysis. We compared two training methods to teach staff to use rules to analyze graphed educational data to enact program changes: didactic instruction and behavioral skills training using direct practice. Participants showed improvements in verbally identifying data patterns using simulated data; however, participants in the latter group were also effective using actual student data. The lack of correspondence between rule identification and rule following challenges the assumption that an individual’s ability to identify rules predicts actual performance.     

Risk management and managerial efficiency in Chinese banks: A network DEA framework

Risk management in Chinese banks has traditionally been the Cinderella of its internal functions. Political stricture and developmental imperative have often overridden standard practice of risk management resulting in large non-performing loan (NPL) ratios. The training and practice of risk managers remain second class compared with foreign banks operating in China. This paper surveys Chinese bank risk managers and constructs metrics of risk management practice and risk management organisation. The metrics are used as intermediate inputs in a Network DEA framework to produce a measure of income efficiency. A statistical test is carried out to assess the importance of the risk metrics in evaluating bank income efficiency.     

Behavior-Based Safety in a Coal Mine: The Relationship Between Observations,Participation, and Injuries Over a 14-Year Period

Safety is an important topic in the inherently dangerous mining industry. The creation of a behavior-based safety program and improved employee-management relationships reduced incident rates by 50%. The safety program focused on employee observations and oversight from steering committees. This case study suggests that participation rates of 30% could produce mine-wide safety improvement and considers possible explanations in the context of current literature and anecdotal reports.     

Advancing Risk‐Informed Decision Making in Managing Defense Nuclear Waste in the United States: Opportunities and Challenges for Risk Analysis

An omnibus spending bill in 2014 directed the Department of Energy to analyze how effectively Department of Energy (DOE) identifies, programs, and executes its plans to address public health and safety risks that remain as part of DOE's remaining environmental cleanup liabilities. A committee identified two dozen issues and associated recommendations for the DOE, other federal agencies, and the U.S. Congress to consider, as well as other stakeholders such as states and tribal nations. In regard to risk assessment, the committee described a risk review process that uses available data, expert experience, identifies major data gaps, permits input from key stakeholders, and creates an ordered set of risks based on what is known. Probabilistic risk assessments could be a follow‐up from these risk reviews. In regard to risk management, the states, in particular, have become major drivers of how resources are driven. States use different laws, different priorities, and challenge DOE's policies in different ways. Land use decisions vary, technology choices are different, and other notable variations are apparent. The cost differences associated with these differences are marked. The net result is that resources do not necessarily go to the most prominent human health and safety risks, as seen from the national level.