Finding environmentally important industry clusters: Multiway cut approach using nonnegative matrix factorization

This paper proposes an optimal combinatorial method for finding groups of industries with relatively large CO₂ emissions through industrial relations. Using an economic input–output table, we estimated a non-symmetric matrix describing how much CO₂ is emitted in producing the commodity of industry i, which was purchased to produce commodity of industry j, to meet the final demand for a specific commodity. A symmetric strength of relations matrix describing the CO₂ emissions associated with the industrial relations was further estimated using the non-symmetric matrix. The strength of relations matrix can be viewed as a representation of the supply-chain network of the final commodity. In this study, we estimated the strength of relations matrix associated with the final demand for automobiles and applied the multiway cut approach using nonnegative matrix factorization to the matrix in order to find environmentally important industry clusters in the Japanese automobile supply chain. According to our empirical results, the optimal number of industry clusters is 19, and 4 industry clusters are playing a key role in CO₂ emission reduction.     

Power-divergence-type measure of departure from diagonals-parameter symmetry for square contingency tables with ordered categories

For the analysis of square contingency tables with ordered categories, Goodman considered the diagonals-parameter symmetry (DPS) model. This paper proposes a measure to represent the degree of departure from the DPS model. The proposed measure is expressed by applying Read and Cressie’s power-divergence or Patil and Taillie’s diversity index. The measure would be useful for comparing the degree of departure from the DPS model in several tables. Examples are given.     

Supply Constraint from Earthquakes in Japan in Input–Output Analysis

Disasters often cause exogenous flow damage (i.e., the [hypothetical] difference in economic scale with and without a disaster in a certain period) to production (“supply constraint”). However, input-output (IO) analysis (IOA) cannot usually consider it, because the Leontief quantity model (LQM) assumes that production is endogenous; the Ghosh quantity model (GQM) is considered implausible; and the Leontief price model (LPM) and the Ghosh price model (GPM) assume that quantity is fixed. This study proposes to consider a supply constraint in the LPM, introducing the price elasticity of demand. This study uses the loss of social surplus (SS) as a damage estimation because production (sales) is less informative as a damage index than profit (margin); that is, production can be any amount if without considering profit, and it does not tell exactly how much profit is lost for each supplier (upstream sector) and buyer (downstream sector). As a model application, this study examines Japan's largest five earthquakes from 1995 to 2017 and the Great East Japan Earthquake (GEJE) in March 2011. The worst earthquake at the peak tends to increase price by 10–20% and decrease SS by 20–30%, when compared with the initial month's prices/production. The worst damage tends to last eight months at most, accumulating 0.5-month-production damage (i.e., the sum of [hypothetical] differences in SS with and without an earthquake [for eight months] is 50% of the initial month production). Meanwhile, the GEJE in the five prefectures had cumulatively, a 25-month-production damage until the temporal recovery at the 37th month.     

Source decomposition of changes in income inequality: the integral-based approach and its approximation by the chained Shapley-value approach

This paper proposes source decomposition of the change in income inequality between two time points using the integral-based approach (IBA) and the (chained) Shapley-value approach as its approximation. In comparison to static Shapley-value decompositions and traditional decompositions for the square of the coefficient of variation and the Gini index, the new dynamic Shapley-value approach is intuitively appealing as a decomposition procedure for changes in inequality. It is expected to yield relatively small differences among various inequality measures, essentially maintaining consistency with income source classification. Path dependency, a possible drawback of the new decompositions, is not expected to be a particular problem in the usual cases. The properties are illustrated for application to the increase in US family income inequality during 1979–1996. In this empirical study, the new decompositions showed a tendency that was clearly different from those of the existing decompositions, indicating that the proposed procedures shed new light on analysis of the causes of inequality changes. An extension to incorporate other factors such as family structure is also successful without loss of the desirable properties.     

Japan's financing system for health care of the elderly

The multiplicity of Japan's health insurance system fails to achieve equality among the different insurance groups of the sharing of the financial burden. This "horizontal" inequality is effectively offset by a unique redistribution mechanism established in 1982. However, there is no reserve fund so that savings can be accumulated for the greater financial need in the future. This will inevitably lead to a heavier financial burden for the future working generation or more utilization of the personal assets of the elderly. How to achieve "vertical" or intergenerational equality in financing the cost of health care for the elderly is the biggest social policy challenge for Japan.     

Decomposition of gini and multivariate gini indices

A new type of decomposition by population subgroup is proposed for the Gini inequality index. The decomposition satisfies the completely identical distribution (CID) condition, whereby the between-group inequality is null if and only if the distribution within each subgroup is identical to all the others. Thus, this decomposition contrasts strikingly with the subgroup decomposition of the generalized entropy measures, which satisfy the condition that the between-group inequality is null if the mean within each subgroup equals those of all the others. The new decomposition can be generalized to the distance-Gini index and the volume-Gini index, two multivariate Gini indices introduced by Koshevoy and Mosler, with some modification of the index definition and a somewhat loosened CID condition in the latter case. The source decomposition is also generalized to these multi-dimensional indices. Interaction terms appear among sources of different attributes in the decomposition for the modified volume–Gini index.

Moral or civic ties? Deservingness and engagement among undocumented Latinas in non-profit organisations

As alternatives to mainstream institutions, local non-profit organisations (NPOs) are important sites for immigrant civic engagement; yet, there is little research on how immigrants negotiate the benefits of NPOs. We use ethnographic fieldwork and multiple in-depth interviews with 39 NPO staff and Latina immigrants in San Francisco, California. We offer new insights about how undocumented, low-income, Latina mothers – a group constrained by multiple barriers – negotiate direct assistance and civic engagement in NPOs. Although NPOs provide both direct services and civic engagement opportunities, we find that moral judgments within the broader anti-immigrant and anti-welfare climate impact how Latinas feel the need to ‘give back’ or ‘ration’ services in NPOs. Additionally, the expectation that direct services are an entrée for civic engagement has consequences for how Latinas negotiate deservingness and work to preserve their self-worth. For some, these expectations depress further engagement or drive intergroup divisions.     

Continuation of Festivals and Community Resilience during COVID-19: The Case of Nagahama Hikiyama Festival in Shiga Prefecture,Japan

The COVID-19 pandemic has severely affected the way of life of communities in Japan. This study examines the pandemic's impact by focusing on a popular activity in Japanese townships: participation in traditional festivals with roots dating back to before the Edo period. These festivals display the social customs of each community and their prosperity from the past to the present. Residents participating in local festivals gain a deep understanding of their personal importance within the community. However, many communities were forced to cancel their festivals in 2020 because of the pandemic. In 2021, many communities attempted to reinstate their traditional festivals, and some of them resumed the festivities with infection control measures in place. This case study examines how people resumed festivals in their communities and the conditions needed for them to reengage with their traditions. Focusing on the Nagahama Hikiyama Festival in Shiga Prefecture, Japan, we demonstrate the resilience of traditional communities in Japan. This study analyzes the reasons for and process of reviving and subsequently implementing traditional festivals and clarifies the positive factors contributing to the resumption of festivals in local communities. It examines the sources of resilience that have been cultivated in these communities and explains how their social capital bridges the gaps between local governments, schools, and broadcasters.