Bringing Non-governmental Actors into the Policymaking Process: The Case of Local Development Policy in Thailand

During the past two decades in Thailand, non-governmental actors, such as NGOs, intellectuals, and people's organizations, have found widening opportunities to participate in policy formation and in the implementation of local development. The government has facilitated the formation of civil society forums, in the expectation of influencing local-level governance. The last two national five-year development plans were formulated after taking into account the voices of people in the provinces. Even though they may seem petty, some state funds are now transmitted through non-governmental institutions for policy implementation at the grassroots level. These changes have their origin in a reformation of rural development administration in early 1980s. This reformation in due course led to policies that have allowed the participation of non-governmental actors. Meanwhile, rural people have proved their ability to engage in participatory development by forming various local organizations, while NGOs have grown to be proficient facilitators of local development. This paper describes the process whereby three leading actors, namely the government, local people, and the NGOs, have interacted to bring about a more participatory system of local development administration.

Factors Underlying the Formation of Industrial Clusters in Japan and Industrial Cluster Policy: A Quantitative Survey

The purpose of this report is to use information provided by a questionnaire survey to analyze the factors and processes underlying the formation of industrial clusters in Japan. The study, based on questionnaire surveys, forms part of an "Industrial Cluster Project". The Japanese government has implemented policies for industrial clusters so as to enable Japanese industries to maintain competitive power in global markets, and to aid the self-sufficient expansion of local industries. The government's project goes under the heading "Industry Agglomeration for the Recovery of Local Industries with respect to so-called "Industry Clusters." The authors aim to identify what expectations are held of government by the enterprises that make up industrial clusters. As part of our investigation, we used the results of a survey conducted by UNDP in 2004. Tsuji's study, published by the Osaka School of International Public Policy, surveyed 1198 small or medium sized manufacturing companies located in O ward, Tokyo and Higashi Osaka city, Osaka prefecture. The outcome of the present study, together with data from Tsuji's work on IT usage by SMEs in Japan, is meant to form the basis for policy design and implementation.

中国の西部大開発－21世紀の内陸発展戦略

中国は建国（1949年）以来、様々な地域開発戦略を実施してきた。「西部大開発」戦略は、東部沿海地域（以下、東部）と西部内陸地域（以下、西部）の格差を是正し、内陸経済の自律的発展条件を整備することを目指した新たな内陸開発戦略である。本稿では、同戦略が提起されて３年を経過した段階で、その客観的評価を試みる。 まず、同戦略が登場した背景を政治、経済両面から分析し、従来の内陸開発政策の経緯を整理する。次に、執筆時点までに打ち出された具体的施策を整理した上で、西部大開発の直面する課題を検証し、今後の展望を試みる。結論部分では、日本の協力策についても考察を行う。

Transformation of a Woodworking and Furniture Industrial District in Kampala, Uganda: Dichotomous Development of SME Cluster and Large Firm Sector

Clustering small manufacturers are believed to attain various types of collective efficiency. A woodworking and furniture SME district in Uganda has created a learning environment for artisans to start up their own workshops. In the district workers can access various managerial information including business skills and input materials easily than outside. Hence it attracted new entrants to follow and district growth continued. On contrary large firms are locating separately and dispersedly from SME district and have a negative image to SME. This dichotomy has been created partly through spatial division of two sectors and partly through policy favouritism toward large firms.

Assessing agglomeration economies in the Yangzi River Delta, China : a bayesian spatial econometric approach

This paper estimates the elasticity of labor productivity with respect to employment density, a widely used measure of the agglomeration effect, in the Yangtze River Delta, China. A spatial Durbin model is presented that makes explicit the influences of spatial dependence and endogeneity bias in a very simple way. Results of Bayesian estimation using the data of the year 2009 indicate that the productivity is influenced by factors correlated with density rather than density itself and that spatial spillovers of these factors of agglomeration play a significant role. They are consistent with the findings of Ke (2010) and Artis, et al. (2011) that suggest the importance of taking into account spatial dependence and hitherto omitted variables.

Agglomeration and firm-level productivity : a Bayesian spatial approach

This paper estimates the impact of industrial agglomeration on firm-level productivity in Chinese manufacturing sectors. To account for spatial autocorrelation across regions, we formulate a hierarchical spatial model at the firm level and develop a Bayesian estimation algorithm. A Bayesian instrumental-variables approach is used to address endogeneity bias of agglomeration. Robust to these potential biases, we find that agglomeration of the same industry (i.e. localization) has a productivity-boosting effect, but agglomeration of urban population (i.e. urbanization) has no such effects. Additionally, the localization effects increase with educational levels of employees and the share of intermediate inputs in gross output. These results may suggest that agglomeration externalities occur through knowledge spillovers and input sharing among firms producing similar manufactures.

Measuring population mobility speed from space

Ad-hoc population dynamics in Krugman’s type core and periphery models adjust population share of a region, based on its real wage rate deviation from national average, at pre-specified speed of population mobility. Whereas speed of population mobility is expected to be different across countries, for geographical, cultural, technological, etc. reasons, one common speed is often applied in theoretical and simulation analysis, due to spatially patchy, and temporally infrequent, availability of sub-national regional data. This article demonstrates how, increasingly available, high definition spatio-temporal remote-sensing data, and their by-products, can be used to measure speed of population mobility in national and sub-national level.