Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.scitotenv.2023.166632

Web of Science

Scopus

PubMed

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Center for Environmental Information Science  

<p>The aging of urban structures such as buildings and infrastructures has been getting serious in these years. Those material stocks should be appropriately maintained for a long period of time, however, budget constraints and labor shortage due to population decline seem to make the situation more difficult. This study aims to estimate the amount of Japan's sewer pipe stock and compare the obsolescence risk with combinations of soundness of the existing stock and population forecast among prefectures. As results, the amount of sewer pipe stock was estimated to be 115 million t in 2018, and the rates of aged stock requiring urgent maintenance were 29% for concrete pipes and 13% for PVC pipes, respectively. Obsolescence risk was high in Hokkaido, Nara, Yamaguchi, Miyazaki and Kagoshima, indicating that those especially need deliberate countermeasures for a long-term stock management.</p>

DOI： 10.11492/ceispapers.ceis37.0_70

CiNii Research

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Center for Environmental Information Science  

<p>The accumulation of material stocks within cities raises concerns about the potential future generation of a significant volume of waste. That is caused by the aging of urban structures and the increasing occurrence of natural disasters caused by climate change. Quantifying urban structures stock plays an imperative role in predicting future inflows and outflows, as well as formulating appropriate maintenance and management plans. In this study, Geographic Information System (GIS) was utilized to estimate and reveal the spatiotemporal dynamics of construction material stocks in buildings and infrastructures across Japan. The estimated material stock in buildings was 11,800 million tons, while infrastructure accounted for 7,400 million tons in 2020. Moreover, the newly constructed floor area of buildings in a year was 117 million square meters, with 76 million square meters of demolished floor area over the period from 2016 to 2020.</p>

DOI： 10.11492/ceispapers.ceis37.0_195

CiNii Research

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Environmental Processes  

This study aims to evaluate the direct and indirect contributions of household income and regional groups as well as their related sectors to CO2 emissions. The study utilized a semi-closed input‒output model (IOM) along with the hypothetical extraction method (HEM) that can estimate emissions from interdependency between household and production sectors. The results show: (1) The direct and indirect impacts on carbon emissions caused by the consumption of households in urban areas are 1.5 times higher than those in rural areas; (2) there is a positive correlation between household income and its contribution to emissions; (3) there is a notable contribution from high-income urban households to CO2 emissions, up to 1.4 times higher than the poorest household in urban areas and 0.6 times higher than the highest income in rural areas; and (3) the transportation and food sectors drive household-related CO2 emissions the most, while the education, culture, and recreation sectors contribute the least. Our findings indicated that to decrease household energy-related emissions, the government should improve the technology efficiency of transportation and communication as well as the food sectors. There is also a need to have different emission reduction policy designs between households based on their income level, particularly for increasing stringency of emission policies for high-income households.

DOI： 10.1007/s40710-023-00666-3

Web of Science

Scopus

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1111/jiec.13342

Web of Science

Scopus

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：一般社団法人 環境情報科学センター  

DOI： 10.11492/eis.52.1_120

CiNii Research

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：一般社団法人 環境情報科学センター  

DOI： 10.11492/eis.52.1_119

CiNii Research

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1021/acs.est.2c08468

Web of Science

Scopus

PubMed

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1111/jiec.13332

Web of Science

Scopus

Language：English   Publishing type：Research paper (scientific journal)   Publisher：ELSEVIER SCI LTD  

An economic assessment for a non-market resource like sandy beaches is always a challenge for Thailand's coastal policy planners due to the lack of data availability, especially on the national scale. While beach tourism in Thailand has been an essential part of the Thai economy, the sandy beaches are probably exposed to the future sea-level rise. Therefore, the need for tourism benefits of the beaches should be conducted. The research attempted to measure the effect of sandy beach characteristics and hotel location on hotel room rates. A sample of 3319 hotel rooms across Thailand's coastal sub-districts, covering the entire sandy beaches in Thailand, was collected through a hotel-booking online database during the country's peak season. The considered variables include hotel room attributes, sandy beach characteristics, hotel locations, and coastal infrastructures. Through a hedonic price model based on geographically weighted regression analysis, the relationship between the dependent variables (hotel room rate) and the independent variables (selected beach variable) was estimated to evaluate the marginal effect and its spatial variations. The tourism benefit was calculated assuming the marginal effect of the hotel's beachfront locations on hotel price. The study suggested that the location in front of the beach raised the average hotel room rates by 13-41%. The results emphasized the significant spatial variability of the effect of beachfront location on the hotel price. In addition, the effect of beach protection structures (i.e., seawall, breakwaters, groins) on the hotel price was also investigated and implied a slight drop by 8-15% of the average price. The other sandy beach variables (such as beach length, width, and slope) effects on hotel price were also investigated. The finding of this study aims to help policymakers select and design proper adaptations to coastal erosion on tourist beaches in Thailand.

DOI： 10.1016/j.ocecoaman.2022.106272

Web of Science

Scopus

Language：English   Publisher：Center for Environmental Information Science  

<p>Nigeria’s land use pattern is undergoing various modifications stemming from the changing demographic and economic characteristics, resulting in various environmental problems. As the land use system continues to experience rapid modifications, we need to investigate how the historical and future land use patterns may impact Nigeria’s sustainable use of its land resources. In this paper, we explored the characteristics of land use change and simulated future land use demand by combining system dynamics and the Future Land Use Simulation (FLUS) models. We simulated future land use demand from 2020 to 2040 under three developmental (business-as-usual (BAU), market-oriented and conservation) scenarios. The results of the scenarios show that under the BAU scenario, cultivated areas increased rapidly from 42.5% in 2020 (baseline) to 57.8% in 2040. However, in the market-oriented and conservation scenarios, cultivated land is anticipated to be 52.3% and 44.3% respectively in 2040, highlighting how varying socio-economic and land use policies affect land use change. Based on the predicted scenarios in 2040, we gained insight into how socio-economic changes affect land use patterns, which would aid in the development, optimisation, and prioritising of areas where the utmost focus is needed to reduce environmental degradation and ensure sustainable growth and development.</p>

DOI： 10.11492/ceispapersen.2021.2_19

CiNii Research

Language：Japanese   Publisher：Sustainability (Switzerland)  

Floods are one of the most devastating forces in nature. Several approaches for identifying flood-prone locations have been developed to reduce the overall harmful impacts on humans and the environment. However, due to the increased frequency of flooding and related disasters, coupled with the continuous changes in natural and social-economic conditions, it has become vital to predict areas with the highest probability of flooding to ensure effective measures to mitigate impending disasters. This study predicted the flood susceptible areas in Nigeria based on historical flood records from 1985~2020 and various conditioning factors. To evaluate the link between flood incidence and the fifteen (15) explanatory variables, which include climatic, topographic, land use and proximity information, the artificial neural network (ANN) and logistic regression (LR) models were trained and tested to develop a flood susceptibility map. The receiver operating characteristic curve (ROC) and area under the curve (AUC) were used to evaluate both model accuracies. The results show that both techniques can model and predict flood-prone areas. However, the ANN model produced a higher performance and prediction rate than the LR model, 76.4% and 62.5%, respectively. In addition, both models highlighted that those areas with the highest susceptibility to flood are the low-lying regions in the southern extremities and around water areas. From the study, we can establish that machine learning techniques can effectively map and predict flood-prone areas and serve as a tool for developing flood mitigation policies and plans.

DOI： 10.3390/su14095039

Web of Science

Scopus

Language：Japanese   Publisher：IOP Conference Series: Earth and Environmental Science  

There is no doubt about the warming of the climate system, and it is widely accepted by a society that adaptation measures are important to reduce the negative impact of climate change on society. However, there are socio-economic obstacles to the promotion of climate change countermeasures. In other words, to implement climate change adaptation measures, not only the economic efficiency of the measures, but also fairness, consistency with existing policies, and cultural acceptability must be considered. Moreover, future forecasts contain uncertainty. Therefore, it is very difficult to formulate adaptation measures and consider policy priorities. The purpose of the study is to create a web application that shows the risk of natural disasters and the socioeconomic status of the region, targeting Thailand, which is one of the countries affected by climate change to solve the above problems. We basically developed web applications using freeware. As the result, the user can grasp the risk situation of natural disasters in Thailand as a whole, and grasp the industrial structure, agricultural production structure, and poverty situation in each region. This application is expected to promote understanding of the impacts of climate change among stakeholders and to support discussions on policy priorities.

DOI： 10.1088/1755-1315/1016/1/012023

Scopus

Language：Japanese   Publisher：一般社団法人 環境情報科学センター  

DOI： 10.11492/eis.51.1_117

CiNii Research

Language：Japanese   Publisher：一般社団法人 環境情報科学センター  

DOI： 10.11492/eis.51.1_83

CiNii Research

Language：Japanese   Publisher：一般社団法人 環境情報科学センター  

DOI： 10.11492/eis.51.1_84

CiNii Research

Language：Japanese   Publisher：一般社団法人 環境情報科学センター  

DOI： 10.11492/eis.51.1_82

CiNii Research

Language：Japanese   Publisher：Japan Society of Civil Engineers  

<p> Estimation of material stock of buildings in urban areas is important for recycling and proper disposal of resources. For the purpose of more accurate stock estimation, glasses and walls were extracted from images of building walls using a machine learning model of image recognition, and then calculated the percentage of glass in the walls based on the number of pixels in each. The classification of building structures based on the glass percentage showed that a threshold value of 67% is suitable for classifying steel-framed buildings with curtain walls. Classification result obtained from 262 buildings around Nagoya Station was used for stock estimation, and the result was compared with those calculated by the method proposed by previous study. The estimated amount of concrete decreased by 18% and the estimated amount of steel increased by 325%.</p>

DOI： 10.2208/jscejer.78.6_ii_19

CiNii Research

Language：Japanese   Publisher：Japan Association for Human and Environmental Symbiosis  

<p>The 4^th Fundamental Plan for Establishing a Sound Material-Cycle Society aims to achieve exhaustive resource use though the development of new methods and indicators considering all stages of material lifecycle. In this study, material flow and stock analysis of non-metallic mineral resources and its compilation to physical input output table are conducted for the period 1990 to 2015. Also, the results are applied to 6 material flow indicators to discuss the efficiency in each stage of lifecycle. According to the results, the amount of direct material input has decreased since 1990, while the amount of domestic processed output has relatively increased in recent years. It was also found the recovery rate of used products has been over 90% since 2003. This indicates the utilization of used materials has been consistently promoted although the amount of outflow from used products has increased. The difference between the amount of outflow from statistics and estimates implies that there is a certain amount of so-called missing stock such as obsolete stock and dissipated stock. These stocks could be great concern in terms of its impact on material use time and future waste generation.</p>

DOI： 10.32313/jahes.38.2_176

CiNii Research

Language：Japanese  

DOI： 10.3390/jmse9060588

Web of Science

Language：Japanese  

DOI： 10.1088/1748-9326/abce80

Web of Science

Language：Japanese   Publisher：Japan Society of Civil Engineers  

<p> Resource productivity is a material flow index that is set as a major goal of the Fundamental Plan for Establishing a Sound Material-Cycle Society, but it could not well evaluate the indirect impact of the material stock that supports the material flow. A few of existing studies have conducted the resource productivity decomposition with material stock factors though, it is difficult to apply the same fashion to all types of material stock whose value greatly varies depending on its usage. In this study, we mainly considered the factors of Japan’s housing material stock, to clarify the impact of changes in housing stock on the resource productivity. The results show that the resource productivity is negatively impacted by the decrease of the service provided with a unit of housing stock and the increase of vacant houses from 2008 to 2017, while it can be improved through the prolonging the housing lifetime.</p>

DOI： 10.2208/jscejer.77.6_ii_23

CiNii Research

Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： 10.2208/jscejer.76.6_II_1

DOI： 10.3390/jmse8090659

Web of Science

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.21163/GT_2020.151.08

Web of Science

Language：Japanese   Publisher：Japan Society of Civil Engineers  

<p> For the establishment of Recycling-based Society, Stock-type Society becomes increasingly important. Material stock plays an important role in the society and serves someone well in one way, whereas it has inevitable impact on material flow. For the reason that material stock is inextricably linked with material flow, the excess material stock can induce unnecessary resource input and increase waste generation from obsolete stock. To bring down high-quality material stock for the future generation, proper management of materials stored or hibernating in the society is required. In order to grasp the status of stock, material stock should be estimated and evaluated with in-use rate. In this study, by the method of lifespan modeling approach, material stock in Japan’s residential buildings and the amount of that obsolete stock/in-use stock were estimated. As a result of the estimation, there were 5.2 billion tons of residential building in 2018. In the amount of material stock in empty houses out of residential buildings, the amount of obsolete stock was estimated at 0.3 billion ton. As the number of residential building keeps increasing, the amount of obsolete stock is expected to increase in future.</p>

DOI： 10.2208/jscejer.76.6_ii_9

CiNii Research

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.3390/su11030649

Web of Science

Language：Japanese   Publisher：Proceedings of the Coastal Engineering Conference  

Scopus

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.2480/agrmet.D-15-00021

Web of Science

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.2480/agrmet.D-15-00020

Web of Science

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publisher：Japan Society of Civil Engineers  

 In northeast Thailand, the ratio of irrigated agricultural land was only 7.6% and others were rain-fed so that climate change makes agricultural production more unstable and also makes crucial damage to the societies and economics in rural area. To mitigate these issues, it is desirable to develop and disseminate enhanced adaptation systems. In this study, we focused on weather-index insurance for climate change adaptation measure. Firstly, we evaluated how affect the rainfall amount and patterns on rice production through regression analysis by using the meteorological and agricultural statistic data from 1985 until 2004. The production of wet season rice had positive relationship(R>0.2, Slope>0.2) with 3 month accumulated rainfall (Jun-Aug) in 11 province. As a result, employed rainfall index was suitable for accurate estimation of rice production in wet season. Secondly, household survey was conducted to grasp farmer's conditions of water use, cultivation, income balance. And then, economic loss by weather induced agricultural damage was estimated and impact on farmer's household income was evaluated by using the agricultural statistic and rice price data from 1981 until 2013. Recently, agricultural economic loss of around 600 million Baht was often occurred in northeast Thailand. However farmers household income was mostly rely on non-agricultural sector so that agricultural economic loss was less than 10% of their annual income. Current weather index was designed by 5-10 years return periods in many province and that also might be the one reason of obstacles of insurance sales.

DOI： 10.2208/jscejer.73.i_377

CiNii Research

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Authorship：Lead author   Language：Japanese   Publishing type：Research paper (scientific journal)  

アジアの発展途上国では急速な都市化と政府の財源不足が原因となり、都市環境サービスが十分供給されているとはいえない。そこでインフラ整備を含む都市環境管理への民間参入が強く求められており、官民パートナーシップの重要性が高まっている。都市環境サービス事業の民営化は、資金調達面だけでなく、事業体の運営効率も改善することが期待されている。しかし、公営と民営の効率性については、先行研究の中でも結果が分かれている。本研究ではDEAを用いてアジアの都市における水道事業の効率性を評価した。その結果、民営化は効率性の改善に寄与している可能性があることが分かった。

Language：English   Publishing type：Research paper (scientific journal)  

This paper discusses two problems related to the calculation of Ecological Footprint (EF). One is the oversimplification of actual in-situ impacts when measured in EF. The other is its limited policy implication. To address these problems, this paper presents a regional approach for EF calculation by using interregional input-output model and provides an empirical analysis for China focusing on regional diversity and interdependency. By the identification of “brown sectors" and “brown paths" in terms of their high environmental load, this paper provides an insight on how to reduce regional EF more effectively. Key sectors analysis and Structural Path Analysis are used for this purpose.

Authorship：Lead author   Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

中国では，深刻な水不足に直面している．水不足の原因の一つには，水使用料金が低すぎて，企業などへの節水に対するインセンティブが働いていないためではないかと考えられている．工業用水の価格水準を検討する方法として，水1単位の利用で生み出されている価値（限界価値）と単位当たりの使用料（限界費用）との差を比較する方法がある．本研究では，中国山西省を対象とし，一般均衡分析を用いて，工業用水の限界価値を推計した．その結果，約3.5元/t（1995年価格）という結果を得た．山西省の省都である太原市における1995年の工業用水価格は1.3元/tであった．したがって，工業用水の限界費用は限界価値の37％に過ぎずないことが分かった．

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Authorship：Lead author   Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English

This chapter presents an overview of the linkages between population growth, urbanization, economic development and environmental issues in Asian cities, major environmental issues faced in the region and the present needs and trends of Urban Environmental Management.

Event date： 2023.10

Language：Japanese   Presentation type：Poster presentation  

Venue：郡山市   Country：Japan  

Event date： 2023.10

Language：English   Presentation type：Poster presentation  

Venue：Tokyo   Country：Japan  

Event date： 2023.10

Language：English   Presentation type：Poster presentation  

Venue：Tokyo   Country：Japan  

Event date： 2023.10

Language：English   Presentation type：Poster presentation  

Venue：Tokyo   Country：Japan  

Event date： 2023.9

Language：Japanese   Presentation type：Poster presentation  

Venue：神戸   Country：Japan  

Event date： 2023.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：神戸   Country：Japan  

Event date： 2023.9

Language：Japanese   Presentation type：Poster presentation  

Venue：神戸   Country：Japan  

Event date： 2023.7

Language：English   Presentation type：Oral presentation (general)  

Venue：Leiden, The Netherlands   Country：Netherlands  

Event date： 2023.7

Language：English   Presentation type：Poster presentation  

Venue：Leiden, The Netherlands   Country：Netherlands  

Event date： 2023.7

Language：English   Presentation type：Oral presentation (general)  

Venue：Leiden, The Netherlands   Country：Netherlands  

Event date： 2022.12

Language：Japanese   Presentation type：Poster presentation  

Venue：Web開催  

Event date： 2022.10

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：徳島大学環境防災研究センター（ハイブリッド）  

Event date： 2022.10

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：徳島大学環境防災研究センター（ハイブリッド）  

Event date： 2022.10

Language：Japanese   Presentation type：Poster presentation  

Venue：徳島大学環境防災研究センター（ハイブリッド）  

Event date： 2022.10

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：徳島大学環境防災研究センター（ハイブリッド）  

Event date： 2022.9

Language：English   Presentation type：Oral presentation (general)  

Venue：Vienna University of Economics and Business (WU)   Country：Austria  

Event date： 2022.9

Language：English   Presentation type：Poster presentation  

Venue：Vienna University of Economics and Business (WU)   Country：Austria  

Event date： 2022.9

Language：English   Presentation type：Oral presentation (general)  

Venue：Vienna University of Economics and Business (WU)   Country：Austria  

Event date： 2022.9

Language：Japanese   Presentation type：Poster presentation  

Venue：国内Web  

Event date： 2022.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：Web開催  

Event date： 2022.5

Language：Japanese   Presentation type：Poster presentation  

Venue：関西大学  

Event date： 2022.5

Language：Japanese  

Venue：関西大学  

Event date： 2020.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：オンライン  

Event date： 2020.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：オンライン  

Event date： 2020.9

Language：Japanese  

Venue：オンライン  

Event date： 2020.9

Language：Japanese   Presentation type：Oral presentation (general)  

Event date： 2020.9

Language：Japanese   Presentation type：Oral presentation (general)  

Event date： 2020.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：オンライン  

Event date： 2019.6

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2018.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：上智大学   Country：Japan  

Event date： 2017.11 - 2017.12

Language：English   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2016.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2015.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2014.9

Language：English   Presentation type：Oral presentation (general)  

Country：Costa Rica  

Event date： 2013.5

Language：English   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2012.12

Language：English   Presentation type：Oral presentation (general)  

Country：United States  

Event date： 2012.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：北海道大学   Country：Japan  

Event date： 2012.7

Language：English   Presentation type：Oral presentation (general)  

Country：Australia  

Event date： 2012.7

Language：English   Presentation type：Oral presentation (general)  

Country：Indonesia  

Event date： 2012.6

Language：English   Presentation type：Oral presentation (general)  

Country：Slovakia  

Growing regional inequality and environmental degradation associated with interregional trade in Asia Pacific Area has been considered one of the major barriers in achieving sustainable development. Decomposition of economic structure at the regional level can help analyze these problems. This study applies Block Structural Path Analysis to the Asia Pacific 10 countries input-output model. The novelty of this paper is three-fold. First, we categorize the transfer of influences between two regions into hierarchical ranks which are based on combination theory. Second, we define the roles played by regions, i.e. the pushing role, the pulling role and the relay role. Third, we extend the application of Block Structural Path Analysis to environmental analysis.

Event date： 2011.9

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：長崎大学   Country：Japan  

Event date： 2009.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2009.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2008.10

Language：Japanese  

Country：Japan  

Event date： 2008.10

Language：English  

Country：Japan  

Event date： 2008.10

Language：English   Presentation type：Poster presentation  

Country：Japan  

Event date： 2008.10

Language：Japanese   Presentation type：Poster presentation  

Country：Japan  

Event date： 2008.10

Language：Japanese  

Country：Japan  

Event date： 2008.10

Language：Japanese  

Country：Japan  

Event date： 2008.10

Language：Japanese  

Country：Japan  

Event date： 2008.10

Language：Japanese  

Country：Japan  

Event date： 2008.10

Language：Japanese  

Country：Japan  

Event date： 2008.9

Language：Japanese  

Country：Japan  

Event date： 2008.9

Language：Japanese  

Country：Japan  

Event date： 2008.9

Language：Japanese  

Country：Japan  

Event date： 2008.9

Language：Japanese  

Country：Japan  

Event date： 2006.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2006.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2006.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2006.7

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2006.3

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2006.3

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2006.3

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2006.3

Language：Japanese   Presentation type：Oral presentation (general)  

Event date： 2005.10

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2005.9

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan