Does Social Capital Encourage Participatory Watershed Management? An Analysis Using Survey Data From the Yodo River Watershed

The Houjing River watershed is one of the three major river watersheds in the Kaohsiung City, Taiwan. Based on the recent water quality analysis, the Houjing River is heavily polluted. Both point and non-point source (NPS) pollutants are the major causes of the poor water quality in the Houjing River. Investigation results demonstrate that the main point pollution sources included municipal, agricultural, and industrial wastewaters. In this study, land use identification in the Houjing River watershed was performed by integrating the skills of geographic information system (GIS) and global positioning system (GPS). Results show that the major land-use patterns in the upper catchment of the Houjing River watershed were farmlands, and land-use patterns in the mid to lower catchment were residential and industrial areas. An integrated watershed management model (IWMM) and Enhanced Stream Water Quality Model (QUAL2K) were applied for the hydrology and water quality modeling, watershed management, and carrying capacity calculation. Modeling results show that the calculated NH3-N carrying capacity of the Houjing River was only 31 kg/day. Thus, more than 10,518 kg/day of NH3-N needs to be reduced to meet the proposed water quality standard (0.3 mg/L). To improve the river water quality, the following remedial strategies have been developed to minimize the impacts of NPS and point source pollution on the river water quality: (1) application of BMPs [e.g. source (fertilizer) reduction, construction of grassy buffer zone, and land use management] for NPS pollution control; (2) application of river management scenarios (e.g. construction of the intercepting and sewer systems) for point source pollution control; (3) institutional control (enforcement of the industrial wastewater discharge standards), and (4) application of on-site wastewater treatment systems for the polishment of treated wastewater for water reuse.

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Psychometric Approach to Social Capital: Using AsiaBarometer Survey Data in 29 Asian Societies

Japanese Journal of Political Science ◽

10.1017/s146810990800340x ◽

2009 ◽

Vol 10 (1) ◽

pp. 125-139

Author(s):

ZEN-U LUCIAN HOTTA ◽

TAKASHI INOGUCHI

Keyword(s):

Social Capital ◽

Political Culture ◽

Survey Data ◽

Historical Review ◽

Key Factors ◽

Social Scientists ◽

Collective Data ◽

Measurement Issue ◽

History Of ◽

Individual Actions

AbstractThis paper is one of the few attempts made by social scientists to measure social capital via psychometric approach, and is the only one of such kind to base its evidence on the AsiaBarometer survey data. After first reviewing the history of social capital, including its conceptual emergence and recent literatures, we expose the issue of difficulty in the measurement of social capital despite its topical popularity. We tackle this measurement issue by applying psychometric procedures to the AsiaBarometer survey data of 2004, 2005, and 2006, focusing on questions pertaining to social capital of ordinary individuals residing in the 29 survey societies. This paper is significant in two aspects. First, using simple statistical procedures, it extracts various dimensions of social capital without first knowing what dimensions to extract. In short, it does not try to measure social capital using some kind of pre-defined concepts such as those outlined in the historical review of our predecessors. Rather, it succeeds in manifesting key factors of social capital – altruism, utilitarianism, communitarianism, and concordance with prevailing regime – by mechanically processing collective responses by individual respondents towards survey questions oriented with social capital. Though the paper does not aim to establish its methodology as a widely held consensus on how to measure social capital, it does give credence and recognition to psychometric approaches as effectives means to measure social capital, which, by its very definition, calls for ‘objective’ approaches using collective data to measure ‘subjective’ notions of individual actions within networks. Second, this paper is the first systematic empirical analysis of social capital in all the subregions of Asia, i.e. East, Southeast, South, and Central. It builds on our earlier works, including the 2006 paper on social capital in Central and South Asia, and gives empirical credence to important concepts on Asian political culture.

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