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Low levels of human capital in rural China are rooted in the poor schooling outcomes of elementary school students. The purpose of this paper is to provide insight into the distribution of academic performance in rural China and identify vulnerable groups.

The authors draw on a data set of 25,892 observations constructed from 11 school-level surveys spanning nine provinces and one municipality in China conducted from 2013 to 2015.

The authors find that the distribution of academic performance is uneven across provinces and subgroups. In general, male students, Han, living in richer counties, living with their parents and studying in rural public schools do better academically than female students, non-Han, living in poorer counties, left behind and studying in private migrant schools in cities.

Using the results of this study, policymakers should be able to better target investments into rural education focusing on at risk subpopulations.

With limited data sources, the research on the academic performance of students in rural China is largely absent. The findings of this study help to fill the gaps in the literature base.

Considering the increased financial responsibility of local government (LG), the impact of global crises and the growing adoption of accrual accounting and common standards such as IPSAS, this work focuses on financial indicators for LGs. It explores whether the literature on financial indicators has grown, investigates whether there is any consensus on which indicators to use for assessing LG's financial condition, develops a critical reading of the literature and offers suggestions for future research and policy agendas.

A structured literature review was carried out for publications in English about LG financial indicators.

Results reveal that the number of publications dealing with financial indicators has increased over the past ten years. However, rather than focusing on a set of common indicators, the literature reports a plethora of different ones used for four main purposes: transparency and accountability compliance, performance monitoring and benchmarking, assessing LG's financial health and helping deal with exogenous crises. There is no evidence of convergence towards a common set of indicators, even though liquidity and solvency are the most popular dimensions explored by scholars.

Findings highlight the challenges in converging on financial indicators, yet no claim can be made beyond the reviewed material.

Results provide legislators, public managers, investors and rating agencies with insights about trends in financial indicators, their benefits and limitations.

The article focuses on a less popular aspect of recent financial management reforms for local administration, that is the growing fragmentation in LG indicators, accentuated by the need for common assessment tools during unprecedented widespread crises across countries and sectors.

Community resilience decides a lot on a city's ability to withstand an external shock. It has evolved naturally from a bounce-back approach to a more robust and meaningful bounce-forward process. The study explores gaps found in community resilience and finds that criteria specific to different disasters are absent.

The study uses a multi-criteria decision analysis technique, fuzzy Delphi, to select criteria. Derivation of the initial list of criteria was from a pilot study, a focus group discussion and other literature studies which was followed by the fuzzy Delphi survey.

After two rounds of fuzzy Delphi analysis, the consensus among 65 experts resulted in selecting 125 sub-sub-criteria within seven criteria. Findings show that many criteria previously not discussed in other pieces of literature project high fuzzy scores such as “availability of drinking water post-disaster” and “cracking down fake news spreaders by the police”. In addition, positive cooperation between political and religious institutions have proven to expedite disaster recovery.

The future scope also includes weighing the selected criteria using analytical hierarchy process (AHP).

Policymakers in the disaster management domain can use the study findings in implementing effective disaster mitigation strategies.

The selection of criteria is based on the community resilience shown by the Kerala community during the floods of 2018 and 2019 (in Kerala). Measures demonstrated by the community need to be studied, which will help foster disaster mitigation better in future scenarios.