博物馆类建筑工程费用估算研究

如何将建设资金控制在批复限额内,防止“三超”现象的出现,是博物馆类建筑投资估算编制的难点。分析博物馆类建筑的设计特点,梳理博物馆类建筑工程费用估算编制中的应注意的问题,总结出其不同于一般公共建筑工程费用构成的特点,旨在为博物馆类建筑工程费用估算的编制提供借鉴。     

Measuring destocking performance of the Chinese real estate industry: A DEA-Malmquist approach

This paper aims to measure the evolution of destocking performance of the Chinese Real Estate Industry based on a DEA (Data Envelopment Analysis)-Malmquist approach, which is seldom used in this industry in existing literature. In 2016, the Chinese government introduced a unified national destocking policy to reduce real estate inventory to save the downturn in the real estate market, but the effect was less than expected and led to soaring house prices in first-tier cities. By analysing the destocking performance over the period from 2005 to 2015, we find the following: (1) It is impossible to use a unified policy to effectively address the national destocking issue because of the difference of DMUs' destocking efficiency, input redundancy and total factor productivity score changes. (2) With the current destocking performance and investment status, the government is still ignoring the existing commercial real estate problems. (3) The redundancy of firm assets and staff indicates that zombie firms may exist and risk future unemployment in the real estate industry. (4) Despite the recently repeated government interventions in this industry, destocking performance remains falling since 2008, and problems in other regions is more severe than in central cities. (5) The financial crisis triggered by the US subprime mortgage crisis has had a great impact on China's real estate industry. The destocking performance dropped sharply in 2008, forcing the Chinese government to introduce policies to stimulate the real estate market. Policy recommendations are also put forward based on the findings.     

Which formula for national happiness?

The World Happiness Report is published by the United Nations Sustainable Development Solutions Network and contains an international ranking of national average happiness, as measured by surveys of personal life evaluations. It also contains an analysis which tries to explain the happiness figures from more than 150 countries using data on six key variables. That analysis assumes the factors combine in an additive manner and therefore operate independently of each other. By contrast, we explore a multiplicative model, which allows for interactivity or synergy between factors, as well as the possibility of diminishing marginal benefit at higher levels of achievement. We find that this model provides a better fit to the data and is therefore superior in its explanatory power. The implication for policy-makers is that they should focus on improving those factors which are the lowest for their nation as this will provide greater relative benefits to subjective well-being. At an individual level this means focusing on improving conditions for those who are experiencing the lowest levels of well-being.     

Assessment of OECD Better Life Index by incorporating public opinion

Well-being has a multidimensional nature as it depends on multifaceted factors such as material conditions and quality of life. The Organization for Economic Co-operation and Development (OECD) has developed the Better Life Index (BLI) as part of the OECD Better Life initiative to facilitate the better understanding of what drives well-being of people. The BLI is a three-level hierarchical composite indicator that covers several socio-economic aspects. In this paper, considering the entire hierarchical structure of the index, we introduce a bottom-up procedure for the aggregation of the components at each level. We formulate the assessment of BLI as a multiple objective programming (MOP) problem that facilitates the implementation of different concepts to derive different aggregation schemes. We incorporate the data from previous years into the normalization process of the indicators, to take into account the discrepancy on their observed values and smooth their deviations across the years. Also, we consider the public opinion about well-being that is captured from the worldwide responses in the web platform of OECD BLI. We incorporate the public opinion into the assessment models in the form of weight restrictions. In this way, we reduce the effect of compensation that might be imposed by the adopted modelling approach. We apply our methodology to the data of 38 countries (35 OECD and 3 non-OECD economies) for the year 2017. Our findings illustrate that the public opinion in the form of weight restrictions can effectively drive the optimization process and depict the collective preferences to the BLI scores.     

A study of government 2.0 implementation in Indonesia

Web 2.0 has brought innovations in digital government, namely, government 2.0. Social media, as one part of Web 2.0, could potentially support fuller participation and public interaction. Social media enjoys a very high level of acceptance by individual users and government agencies around the world. Web 2.0 and social media usage in the public sector still needs to be tested from the perspective of not only the government but also the community as the recipient of services. Therefore, this study aims to answer the following research questions: How effective has government 2.0 implementation been in Indonesia? Is there a correlation between e-government management and government 2.0 implementation? We adopted the sophistication index (SI) by Bonson et al. (2012) [1] to answer the first research questions. The SI examined the presence of Web 2.0 features and social media applications on these government institutions’ websites. As to answer the second research question, we conducted parametric statistical tests to assess how e-government implementation, based on the Indonesian E-Government Rating (PEGI) score, has influenced the effectiveness of government 2.0 use by government institutions in Indonesia. We observed the websites and social media accounts of 116 Indonesian government institutions. According to the evaluation of Web 2.0 and social media use, the average SI score is 42%. These results indicate that, in general, government institutions in Indonesia have used Web 2.0 and social media features, although the adoption rate has not been equal. The correlations between the PEGI scores and SI values also suggest a positive relationship between the effectiveness of e-government implementation and the effectiveness of government institutions. Therefore, government institutions that have been effective in implementing e-government have also been effective in implementing government 2.0.     

The construction of a composite index for general satisfaction in Turkey and the investigation of its determinants

The goal of public enterprises is to increase the wealth and happiness of individuals. This target lets them make the investment to fulfill these expectations. However, not all citizens in a country might have the same opportunities. This case requires comparing citizens who live in cities with regard to satisfaction levels. This study consists of two stages. In the first stage, a composite index called the General Satisfaction Index (GSI), which aims to explain the satisfaction levels of citizens living in cities, is obtained by using the Benefit of the Doubt method. Contrary to the previous studies, the satisfaction indicators based on the emotions and senses of citizens are used to construct a composite index. Satisfaction indicators’ contribution to GSI is ensured using the minimum weights. In the second stage of this study, socioeconomic determinants of GSI are investigated in both countrywide and regions by using regularized regression methods. In the result of the regression analyze, it is confirmed that there are different socioeconomic determinants of satisfaction levels for countrywide and each region. For this reason, it is proposed that policymakers should follow different politicizes in each region to increase the satisfaction levels of citizens in the country.     

Optimal privatization policy with asymmetry among private firms

We revisit the relationship between the optimal privatization policy and market competition indexes such as the Hirschman–Herfindahl index. It is affected by the number of the firms and asymmetry among the sizes of the firms; the smaller the number of firms and the more asymmetry among firms, the higher the market concentration index. The literature on mixed oligopolies suggested that the optimal degree of privatization increases with the number of private firms, and thus, decreases with the market competition index, assuming that all private firms are homogeneous. We investigate how asymmetry among private firms affects the optimal degree of privatization. We propose the simplest and natural model formulation to discuss asymmetry among private firms. We find that the optimal degree of privatization is either nonmonotone or monotonically increasing, and thus never monotonically decreasing, in asymmetry among private firms.     

Decomposing financial (in)stability in emerging economies

The analysis of the build-up of risks in emerging economies have traditionally been scarce and focused mostly on external risks, despite the recent substantial development of their financial system. This paper builds an index of financial vulnerabilities tailored to emerging economies, grouping 32 indicators around four poles: valuation and risk appetite, imbalances in the non-financial sector, financial sector vulnerabilities, and global vulnerabilities. It adopts a model-free approach, purposely departing from early warning models or complex econometric constructs, and rely on data made already available by international organisations. Our index of financial vulnerabilities enables a granular mapping of where risk originates and how it spreads to other parts of the financial system. Using various data visualisation tools and benefitting from the flexibility of our index’s methodology, we are able build a narrative of the evolution of financial stability in emerging economies from 2005 to 2015. Finally, we also discuss the relation between our index and both the business cycle (proxied by GDP) and the credit cycle (proxied by the credit-to-GDP gap).     

The impact of shareholders and creditors rights on IPO performance: An international study

This paper examines the impact of cross-country variation in shareholders' and debt holders' rights on post-IPO performance and survival of newly listed stocks across the globe. Using a sample of 10,490 initial public offerings (IPOs) in 40 countries between 2000 and 2013, we find that post-IPO performance and survival is better in countries with stronger shareholder protection, but the impact of creditor protection is negative i.e. stronger creditor protection leads to poor post-IPO performance and survival. This effect is driven by rules requiring creditors’ consent for company reorganization and the mandatory replacement of incumbent managers. Reputable IPO advisors exacerbate the positive impact of shareholder rights and the negative impact of creditor rights.     

“Opt out” or kept out? The effect of stigma,structure, selection,and sector on the labor force participation of married women in India

Using the 61st and 68th rounds of National Sample Survey data, we investigate the role of stigma, the economy’s structure, potential selection bias, and sectoral differences in explaining the low labor force participation (LFP) of middle and secondary educated women in India relative to low‐ and high‐educated women (the “U‐shape”). Estimating LFP regressions on a sample of prime‐aged married women, we show that, controlling for background characteristics, if a woman’s husband works in a white‐collar job in a region with a high share of blue‐collar jobs, she is less likely to participate in the labor market (stigma). We also find a positive effect of an increase in an index of white‐collar job growth (structure) on married women’s LFP. These effects are present in both rural and urban sectors but are strongest in the rural sector. However, middle and secondary educated women are still found to have substantially lower LFP than low‐ and graduate‐educated women in both sectors. Indeed, over time, the U‐shape persists in the rural sector and deepens in the urban sector. Because unobservables are quite large in the urban sector, we use the method of instrumental variables and find an increasing return at middle levels but stagnation at higher levels.