Return of the inoperability

There has been unrest in the research community investigating the inoperability of an economic system under disaster situations. The inoperability input–output model (IIM), which is very popular in the risk management field, has become a center of argument, particularly from the input–output researchers, that IIM is a straightforward application of the standard Leontief input–output model. This paper revisits the concept of inoperability, rather than IIM, and proposes its new role in disaster impact analysis using a conventional tool, i.e. the RAS method, for illustrating how the inoperability of an economic system in the aftermath of disaster can be evaluated. The proposed framework is employed to examine the inoperability of industries resulting from the 1995 Kobe earthquake. The findings of the analysis reveal the usefulness of inoperability concept that can even incorporate resilience (gained operability) using the proposed framework of this paper.     

试论我国城市文化产业园区热

在文化产业快速发展的背景下,文化产业园区热在地方政府和地方发展商的共同介入下得以形成,其具体形式包括文化产业基地评选热、文化产业博览会热、大型新建园区热、Loft热、文化产业村热等五种.针对当前的文化产业园区热.需要改变现有文化产业发展的方向,引导不同城市和地区错位发展,架构学术界和政府的交流平台,并建立起文化产业园论证、审批、监督的有效机制.     

Dynamic and asymmetric effects between carbon emission trading,financial uncertainties,and Chinese industry stocks: Evidence from quantile-on-quantile and causality-in-quantiles analysis

This paper investigates the dynamic and asymmetric effects between carbon emission trading (CET), financial uncertainties, and Chinese stocks in different industries over the period from 19th December 2013 to 21st March 2022. We utilized a novel quantile framework including rolling window quantile regression method, quantile-on-quantile method, and causality-in-quantiles method to implement this research more comprehensively and accurately. Our contributions and findings, empirical in nature, are as follows: (i) In the early establishing stage of the carbon market, with a bullish market situation, carbon emission trading has a negative impact on most industry stocks. In the developing and improving stage of the carbon market, different industries have different impact situations. (ii) We find that the effects of financial uncertainty on stocks are stronger than CET on stocks. We also find that the dependence structures between CET, financial uncertainty, and industry stocks are asymmetric in most industries, and there are many mutation structures with significant risks in extreme situations. (iii) Carbon emissions trading, crude oil volatility, and US stock volatility all have strong causal relationships with Chinese industry stocks. (iv) We also provide policy suggestions to relevant countries to balance carbon market and stock markets and avoid risks from financial uncertainty in different industries.     

Dynamic factor model with infinite‐dimensional factor space: Forecasting

The paper compares the pseudo real‐time forecasting performance of three dynamic factor models: (i) the standard principal component model introduced by Stock and Watson in 2002; (ii) the model based on generalized principal components, introduced by Forni, Hallin, Lippi, and Reichlin in 2005; (iii) the model recently proposed by Forni, Hallin, Lippi, and Zaffaroni in 2015. We employ a large monthly dataset of macroeconomic and financial time series for the US economy, which includes the Great Moderation, the Great Recession and the subsequent recovery (an update of the so‐called Stock and Watson dataset). Using a rolling window for estimation and prediction, we find that model (iii) significantly outperforms models (i) and (ii) in the Great Moderation period for both industrial production and inflation, and that model (iii) is also the best method for inflation over the full sample. However, model (iii) is outperformed by models (ii) and (i) over the full sample for industrial production.     

On the limited usability of the inoperability IO model*

This note shows that the inoperability input–output model (IIM) estimates only a part of mainly the negative indirect economic impacts of disasters, whereas it neglects most of the positive indirect impacts. This means that the IIM is not suited to prioritize industries for policy interventions that aim at reducing the negative impacts of such disasters. Besides, this note shows that the application of the IIM is problematic and tends to overestimate the subset of impacts that the model is able to quantify. Finally, we identify two approaches that much better capture the variety of different disaster impacts.     

The effect of banking market structure on the volatility of growth of manufacturing sectors in developing countries

I explore the effect of banking concentration and banking competition on the volatility of the growth of value added of manufacturing sectors in the developing countries. In this paper, I bring together two strands of literature, one that discusses the effect of financial intermediation on volatility of growth and another one that discusses the effect of banking concentration and competition on credit access. Following the industrial organization literature, I look at the effect of banking competition and banking concentration on the volatility of manufacturing sectors separately. I find that banking concentration has a dampening effect on the volatility of growth of the industries. On the other hand, I find that as banking competition increases, the volatility of the growth of industries increases, also.     

Economic fluctuations,market power,and returns to scale: Evidence from firm-level data

Recent research on aggregate fluctuations, coupled with ongoing work in industrial organization, has renewed interest in the existence, magnitude, and cyclical pattern of market power and the extent of increasing returns to scale. By exploiting restrictions from dynamic theory and information from financial markets, we present a framework for generating quantitative evidence on market power and returns to scale. Tailoring the econometric model to firm-level panel data, we calculate the percentage differential between price and marginal cost (the Lerner index) in terms of the parameters from the econometric system. Results for firms in eleven industries indicate that there is a great deal of heterogeneity in the extent of market power. Industries with significantly positive Lerner indices tend to have substantial increasing returns in the production technology. We find that there is only a modest relation between our estimated Lerner indices and traditional measures of market power and that, when market power varies temporally, it is usually procyclical. Thus, variations in the markup of price over marginal cost may help dampen aggregate economic fluctuations.     

加强思想政治工作构建新时期和谐企业的思考

新时期和谐企业的建设,离不开思想政治工作。企业应紧紧围绕经济建设的中心任务,发挥思想政治工作的导向作用,提高职工的政治素质,造就和培养高素质的职工队伍,贯彻“以人为本”的理念,实现企业职工潜能最大化,培养企业精神,推动企业和谐共进。     

The growth of information workers in the US economy, 1950–2000: the role of technological change,computerization, and structural change

Using data from the decennial US Censuses of 1950, 1960, 1970, 1980, 1990, and 2000, I construct matrices of employment by 267 occupations and 64 industries and then aggregate the occupations into four categories: (i) knowledge producers; (ii) data processors; (iii) service workers; and (iv) goods-processing workers. I find that information workers (the sum of the first two categories) increased from 37% of the workforce in 1950 to 59% in 2000. Then, using an input–output decomposition analysis, I find that the growth in information workers was driven not by a shift in tastes toward information-intensive goods and services (as measured by the composition of final demand) but rather by a roughly equal combination of the substitution of information workers for goods and service workers within the structure of production of industries and the unbalanced growth effect (from differential rates of industry productivity growth). Finally, on the basis of regression analysis, I find that R&D expenditures and computer investment are positively associated with the growth in knowledge workers but negatively associated with the growth of data workers.     

A Multiregional Impact Assessment Model for disaster analysis

This paper presents a recursive dynamic multiregional supply-use model, combining linear programming and input–output (I–O) modeling to assess the economy-wide consequences of a natural disaster on a pan-European scale. It is a supply-use model which considers production technologies and allows for supply side constraints. The model has been illustrated for three floods in Rotterdam, The Netherlands. Results show that most of the neighboring regions gain from the flood due to increased demand for reconstruction and production capacity constraints in the affected region. Regions located further away or neighboring regions without a direct export link to the affected region mostly suffered small losses. These losses are due to the costs of increased inefficiencies in the production process that have to be paid for by all (indirectly) consuming regions. In the end, the floods cause regionally differentiated welfare effects.     

中国工业行业资本-劳动替代弹性估计及影响因素研究

基于超越对数生产函数的随机前沿模型估计2001—2015年中国工业行业的资本-劳动替代弹性,并对其影响因素进行分析,结果表明：劳动密集型行业的资本-劳动替代弹性普遍高于技术密集型行业,而后者又普遍高于资本密集型行业;行业开放程度、研发密度、产权属性、资本-劳动比、资产负债率、《劳动合同法》实施以及金融危机等因素都会影响资本-劳动替代弹性。     

Fixprice-flexprice industries among Malaysian agrobased manufacturing: An input-output approach

Industries can be classified into fixprice sectors according to their pricing behaviour. Although Hicks and Morishima have broadly classified manufacturing industries into fixprice and the rest of the economy into flexprice, using cost-based input-output models, the present paper reclassifies Malaysian agrobased manufacturing into flexprice and nonagrobased manufacturing into fixprice categories. By compiling annual sectoral price indices, both for intermediate and primary inputs, the model estimates sectoral residual profits of 1978 and 1983 vintage technologies.     

The impact of the Gramm-Leach-Bliley act on the financial services industry

This paper examines the impact of Gramm-Leach-Bliley Act across three main sectors of the financial services industry: commercial banks, insurance companies, and brokerage firms, taking account of the wealth effect associated with the announcement. We find that the law has a differential impact across the financial services industry. All three industries have gained due to this law with commercial banks benefiting most, followed by the insurance industry. Further, the results show that larger firms benefited more in both the banking and insurance industries and exposure to systematic risk was reduced for all sectors of the financial services industry after this regulation passed.     

行业间生产率联动对中国工业生产率增长的影响——引入经济距离矩阵的空间GMM估计

本文把反映行业间生产率联动的购买距离矩阵和销售距离矩阵引入空间自回归模型,研究行业间生产率联动对我国工业生产率增长的影响。为了克服引入社会经济距离矩阵带来的异方差和矩阵的行标准化问题,本文采用空间GMM法进行模型的估计。结果表明,行业生产率联动对我国工业生产率增长具有显著的正影响,并且在资源密集型、劳动密集型和资本密集型工业行业中,行业间生产率联动对工业生产率增长的影响相对于其他因素的影响更为稳健。此外,由销售距离矩阵所体现的联动作用效果整体上大于购买距离矩阵体现的相关效果。     

How warm is the corporate response to climate change? Evidence from Pakistan and the UK

In response to growing consensus among scientists and governments to act fast to avoid dangerous impacts of climate change, many industries have started to prepare for a carbon‐constrained world. However, this response is far from being uniform. Often action is predicated on economic, technological, organizational and institutional drivers and barriers, which vary between countries and across industrial sectors. In order to understand the effectiveness of industry response, it is therefore important to analyse corporate response across different sectors in different countries. Focusing on the nine most energy‐intensive and greenhouse gas (GHG) emitting industrial sectors, this paper compares corporate responses to climate change in Pakistan and the UK. By analysing the divergence of strategies adopted by industries across different sectors in two countries, the paper examines the key factors influencing corporate adoption and implementation of GHG reduction and energy‐efficiency strategies in Pakistan and the UK. Copyright © 2007 John Wiley & Sons, Ltd and ERP Environment.     

Foreign direct investment and industrial agglomeration: Evidence from India

This study analyses the spatial and sectoral distribution of Greenfield Foreign Direct Investment (GFDI) and its impact on industrial agglomeration in India for the time period 2006–2015. We employ a unique dataset obtained by merging GFDI data from FDI Markets and plant level data from Annual Survey of Industries (ASI). We find that the Indian manufacturing sector shows signs of industrial dispersion rather than agglomeration throughout the sample period. Likewise, the spatial distribution pattern of GFDI also shows a decline in regional concentration and, interestingly, GFDI also seems to target new destinations. We also find that the increased spatial spread of GFDI leads to an industrial dispersion in Indian manufacturing industries.     

Nonlinearity in the effects of financial development and financial structure on unemployment

The positive role of the financial sector in promoting economic growth has been well established among academics and practitioners since the early 1990s. However, more recently, there has been increasing evidence pointing to a vanishing, and even negative, effect of financial sectors at high levels of financial depth, particularly since the global financial crisis of 2007?2009. Too much finance could hurt growth. The paper shifts the focus towards labor market outcomes by examining whether too much finance also hurts unemployment. Using a dynamic simultaneous model via system GMM estimation and a panel of 97 OECD and non-OECD countries for the period 1991–2015, we find that the answer depends on the type of finance and the extent of a country’s labor market flexibility. Specifically, (i) too much financial development hurts unemployment for countries with more rigid labor markets; (ii) too bank-centered or too little market-oriented financial systems worsen unemployment, particularly for countries with more flexible labor markets; and (iii) too much credit to private enterprises deteriorates unemployment in countries with more rigid labor markets, whereas too little credit to households worsens unemployment in countries with more flexible labor markets. Evidence also shows that these unemployment consequences possibly run through investment and entrepreneurship channels.     

Manufacturing linkages, industrial dynamics and the transmission of growth

In order to identify the ‘propulsive’ industries of Perroux and the industrial hierarchy of Aujac, an interindustry connectivity matrix is set up using interindustry transactions data from the United Kingdom national input-output matrix. By powering this binary matrix a measure of the connectivity of each industrial sector is created. The best-connected industries are found to lie largely within the metal manufacture and engineering sectors. At the same time key industrial sectors which though small in output occupy critical positions within the matrix and the industrial core are identified. The implications of the findings for regional policy are then discussed.     

产业联系与北京优势产业及其演变

根据经济基础理论,城市经济增长源于城市外部需求.一个城市的比较优势体现在服务于外部市场的产业中.论文基于北京市投入-产出表,依据产业净流出,分析了北京市产业的比较优势及其变化.过去15年来,北京的劳动密集型和原料型制造业的优势逐渐丧失,以电子通信设备、化学工业和机械设备制造业为代表的资本和技术密集型产业正成为优势产业;服务业中,传统服务业从20世纪80年代的优势地位退居劣势地位,取而代之的是知识密集型的生产者服务业,如金融业、软件和计算机服务业、信息传输服务业、广告业、房地产开发业、商务服务、科技交流和推广服务业等.产业联系是北京产业比较优势的显著影响因素,资本、知识和技术是北京市产业比较优势的投入支撑.