How well do urban growth boundaries contain development? Results for Oregon using a difference-in-difference estimator

Urban containment policies, including urban growth boundaries (UGBs), are a common tool used by city planners to promote compact development. We analyze how well UGBs do in containing development using fine-scale GIS data on cities in Oregon. Earlier studies on UGBs yield mixed results, with some authors finding no effects of UGBs on housing market variables and urbanization rates and others finding significant effects. A challenge in measuring these effects is that the location of the UGB is unlikely to be an exogenous determinant of a land parcel's value for development. The panel structure of our dataset allows us to estimate the UGB's effect on the probability of development using a difference-in-difference estimator applied to a narrow band of plots along each city's UGB. This estimator controls for time-invariant unobservable variables and common temporal effects among plots, thereby mitigating the potential for biased estimates due to the endogeneity of the UGB's location. We also pursue a novel approach to controlling for time-varying factors that exploits our fine-scale data. We find that UGBs contain development in many of the Oregon cities we examine, although there are some cities in which development rates are the same inside and outside of the UGB. Our results reveal that, in most cities, the effect of the UGB is small relative to pre-existing differences in development probabilities. This suggests that it may be difficult to identify UGB effects with cross-sectional data, the approach commonly taken in previous studies.     

Economies of scale in networks

A network's capacity can typically be increased in a variety of ways. For example, in a highway network, existing roads can be made wider or new roads added. This paper is concerned with the determination of the degree of local economies of scale in the cost function for the outputs of a congestible network when there are multiple margins for making adjustments to capacity. The main result is that under the provision of a cost-minimizing network—one for which the sum of user and capacity costs for the network's outputs is at a minimum—the degree of local economies of scale in the cost function for the network's outputs is the same along all margins for adjusting capacity. This includes what routes to establish.     

Estimating dynamic local interactions models

This paper presents empirical methods for studying a class of local interactions models in which agents’ transitions are affected by their neighbors’ states. We consider an application to urban unemployment and social networks in job search using publicly available cross-section and retrospective data. Most links in our model are local, but some span an entire metropolitan area. Our methods are designed to accommodate the presence of strong cross-sectional dependence arising from these few cross-metro-area links. We also present simple methods to compare data and model spell distributions and to illustrate the model's dynamic properties.     

Stakeholder value analysis: a methodology for intergrating stakeholder values into corporate enviromental investment decisions

Increasingly, decision‐makers in industry are being faced with complex investment decisions created and made emotive by diverse stakeholder expectations. Investments with the potential to have an impact on a company's environmental performance are a prime example of this since they are driven by multidimensional impacts, many of which are difficult to quantify in scientific and monetary terms. This paper presents a stakeholder value analysis (SVA) model, which can be used to address such problems, using a multiple‐attribute decision methodology. This decision tool has been developed and validated through a series of industrial applications, one of which is outlined here. This application describes the use of the tool in a company context whereby stakeholders from within the company are canvassed for their priorities and views. The SVA tool is used not only to guide and support this process but also to analyse the data and consequently produce output decision metrics, which express the preferences of all relevant stakeholders and which can therefore be more confidently used to support the final decision. Copyright © 1999 John Wiley & Sons, Ltd and ERP Environment.     

A new methodology to measure efficiencies of inputs (outputs) of decision making units in Data Envelopment Analysis with application to agriculture

This paper aims at developing a new methodology to measure and decompose global DMU efficiency into efficiency of inputs (or outputs). The basic idea rests on the fact that global DMU's efficiency score might be misleading when managers proceed to reallocate their inputs or redefine their outputs. Literature provides a basic measure for global DMU's efficiency score. A revised model was developed for measuring efficiencies of global DMUs and their inputs (or outputs) efficiency components, based on a hypothesis of virtual DMUs. The present paper suggests a method for measuring global DMU efficiency simultaneously with its efficiencies of inputs components, that we call Input decomposition DEA model (ID-DEA), and its efficiencies of outputs components, that we call output decomposition DEA model (OD-DEA). These twin models differ from Supper efficiency model (SE-DEA) and Common Set Weights model (CSW-DEA). The twin models (ID-DEA, OD-DEA) were applied to agricultural farms, and the results gave different efficiency scores of inputs (or outputs), and at the same time, global DMU's efficiency score was given by the Charnes, Cooper and Rhodes (Charnes et al., 1978) [1], CCR78 model. The rationale of our new hypothesis and model is the fact that managers don't have the same information level about all inputs and outputs that constraint them to manage resources by the (global) efficiency scores. Then each input/output has a different reality depending on the manager's decision in relationship to information available at the time of decision. This paper decomposes global DMU's efficiency into input (or output) components' efficiencies. Each component will have its score instead of a global DMU score. These findings would improve management decision making about reallocating inputs and redefining outputs. Concerning policy implications of the DEA twin models, they help policy makers to assess, ameliorate and reorient their strategies and execute programs towards enhancing the best practices and minimising losses.     

Industry influence on firms' R&D and innovation

This paper examines the effect of peers on a firm's research and development (R&D) policy. We show that firms do not make R&D decisions in isolation, and that industry dynamics play an important role in defining a firm's R&D intensity. Using a large sample of 54,393 firm-year observations from 1991 to 2015 in the United States, we find that firms' R&D decisions are mainly driven by their industry peers' R&D policies. Moreover, we find that R&D mimicking is significant only in the presence of strong product market competition, whereas we do not find any evidence of information-based herding in R&D investments. Our additional analysis shows that our main conclusions remain valid even in the presence of financial constraints, and regardless of the firms' market positions. Finally, we provide evidence that R&D mimicking increases firms' future values, future patent outputs, and estimated patent dollar values. Our findings are robust to endogeneity concerns, and to using alternative sample compositions, R&D intensity proxies, and different industry classifications.     

FLYPAPER EFFECT INCORPORATING SPATIAL INTERDEPENDENCE

This paper examines the decentralization process in the state of Maharashtra. Among the states in India, Maharashtra's efforts at decentralization are regarded as a success story. Using cross‐section data for 243 urban local governments, the paper examines the flypaper effect, that is, the expenditure stimulus of grants from the state government to the urban governments. The significance of spatial factors has been highlighted in the study. The models have been estimated using spatial econometric techniques. Most of the estimated models show the presence of the flypaper effect.     

Reverse efficiency measures for environmental assessment in data envelopment analysis

Environmental issues are becoming more and more important in our everyday life. Data Envelopment Analysis (DEA) is a tool developed for measuring relative operational efficiency. DEA can also be employed to estimate environmental efficiency where undesirable outputs like greenhouse gases exist. The classical DEA method identifies best practices among a given empirical data set. In many situations, however, it is advantageous to determine the worst practices and perform efficiency evaluation by comparing DMUs with the full-inefficient frontier. This strategy requires that the conventional production possibility set is defined from a reverse perspective. In this paper, presence of both desirable and undesirable outputs is assumed and a methodological framework for performing an unbiased efficiency analysis is proposed. The reverse production possibility set is defined and new models are presented regarding the full-inefficient frontier. The operational, environmental and overall reverse efficiencies are studied. The important notion of weak disposability is discussed and the effects of this assumption on the proposed models are investigated. The capability of the proposed method is examined using data from a real-world application about paper production.     

The significance of digital data systems for smart city policy

Our planet is gradually moving towards an urbanized world. Modern urban agglomerations tend to turn nowadays into advanced information hubs supporting a smart management of dynamic urban systems. The currently popular notion of ‘smart cities’ aims to provide a new perspective for sustainable and high-performance strategies of city stakeholders in our ‘urban century’. In this context, digital information technology provides a new tool for efficient and effective management and planning of urban space, inter alia in the field of transportation, environment, public facilities or advanced service provision to citizens. This paper aims to offer, first, a concise overview of the emerging opportunities of information and communication technology (ICT) for smart urban policy; digital technology in particular, appears to provide novel pathways for modern planning strategies in smart cities. Against this background, the paper sketches out the complex force field of global urbanisation phenomena and highlights the data and information needs for strategic planning of cities (using inter alia as a framework the so-called ‘urban piazza’ strategy framework). Secondly, various new decision support tools that are currently emerging and that offer a new promising scope for handling complex urban management issues (for instance, on accessibility, congestion, safety or sustainability) are briefly presented. And finally, the potential of such digital data systems for urban management and policy is concisely illustrated by means of some recent applications in the area of smartphone data systems. The paper concludes with a discussion of the challenges ahead for urban policy, inter alia by paying attention to institutional and governance aspects of ‘big digital data’ management in urban systems.     

Beyond the Urban–Suburban Divide: Urbanization and the Production of the Urban in Zurich North

Starting from current debates on ‘global suburbanism' and ‘postsuburbia', this article explores the changes that the former ‘urban periphery' of Zurich North has experienced in the last three decades. It mobilizes Henri Lefebvre's triadic concept of conceived, perceived and lived space in aid of an analysis of the profound urban transformations that can be observed. The construction of a new tramline serves as a guideline for an analysis of the implementation of new governance arrangements strengthening cross‐border cooperation between individual municipalities and new strategies of cooptation and expertise. This resulted in the production of new urban structures which led to a more densely woven and connected urban fabric primarily providing spaces for the headquarter economy and middle‐class housing. Concomitantly, great efforts have been made to create new public spaces, an urban image and even an urban atmosphere. These have proved at least partially successful, thus promoting a symbolic redefinition of the former urban periphery as a distinctively ‘urban' space. Conventional definitions and concepts no longer suffice to adequately understand such novel urban forms, leading to the conclusion that division into an ‘urban' and a ‘suburban' world is no longer a useful tool for urban analysis.     

Qualitative data envelopment analysis by affinity set: a survey of subjective opinions for NPOs

Measuring the performance of Non-Profit Organizations (NPOs) is a complicated issue: data envelopment analysis (DEA) is a popular quantitative tool in the past literature. However, the subjective opinions of NPOs could disturb their actual performance, and this problem is seldom considered. In this study, we use the qualitative DEA as a tool to find the emphasized inputs and outputs for these NPOs. Most DEA models are established by the basis of quantitative data, they are difficult to describe the qualitative performance of NPOs. This paper proposes a new perspective for computing the efficiency of a Decision Making Unit based on qualitative data by affinity Set. The DEA model for qualitative data could be traced back to the work of Cook et al. early in 1993. Our contribution prevents the identical efficiency scores from the model of Cook et al., and a combinatorial optimization technique is used to solve the new problem. Finally, we found most NPOs would like to get more resources from outside; but interestingly, they don’t like to be officially monitored. Therefore, we should use the quantitative DEA on NPOs very carefully.     

Teaching undergraduate econometrics with GRETL

This paper reviews GRETL, a software package for econometrics. Mainly it discusses GRETL's merits as an aid in teaching undergraduate econometrics. This discussion is in two parts. First one author, an instructor, reviews the teaching of undergraduate econometrics with GRETL. Then the second author, a student, discusses the experience of being introduced to GRETL as part of the introductory course and of putting it to work as part of his employment. The paper briefly discusses GRETL as a research tool. Copyright © 2006 John Wiley & Sons, Ltd.     

Formation of firms' production decisions in finnish manufacturing industries

Business survey data have recently been used in several studies to shed light on the formation of firms' plans and expectations. The main tool for analysis has been the multivariate conditional log-linear model. The trichotomous answers in a typical business survey have an ordering. This makes it possible to analyse firms' production decisions with a categorized version of Cox's proportional hazards model. In this paper the production decisions of Finnish firms are investigated using data from the Finnish business survey. The results obtained are largely in accord with the implications of the production smoothing model of Blinder (1982).     

Location,Proximity, and M&A Transactions

In this paper, we examine how the geographic location of firms affects acquisition decisions and value creation for acquirers in takeover transactions. We find that firms located in an urban area are more likely to receive a takeover bid and complete a takeover transaction as a target than firms located in rural areas, and takeover deals involving an urban target are associated with higher acquirer announcement returns, after controlling for the proximity between the target and the acquirer. In addition, a target's urban location significantly attenuates the negative effect of a long distance between the target and the acquirer on acquirer returns, a fact that is documented in the existing literature. Our findings reveal a previously underexplored force—firm location—that can affect takeover transactions, in addition to proximity. Our paper suggests that a firm's location plays an important role in facilitating the dissemination of soft information and enhancing information‐based synergies.     

Loïc Wacquant's ‘Ghetto’ and Ethnic Minority Segregation in the UK: The Neglected Case of Gypsy‐Travellers

This article utilizes Loïc Wacquant's concept of the ghetto as an analytical tool in understanding the marginal and ambivalent position of Gypsy‐Traveller populations resident on sites (or camps) in Britain. The article argues that the fruitful work of quantitative urban scholars on ethnic segregation in the UK has neglected Gypsy‐Travellers. It suggests that the theoretical concept of the ghetto can elucidate the ways in which the spatial marginality of sites serves as a weapon of ‘confinement and control’ for the dominant, and an ‘integrative and protective device’ for the stigmatized Gypsy‐Traveller population. Drawing on qualitative empirical data, key characteristics in Wacquant's definition of the ghetto are shown to hold true for Gypsy‐Traveller sites; these include ethnic homogeneity, spatial confinement, shared cultural identity, mutual distancing and a retreat into the private sphere of the family. This comparison also reveals key differences in terms of economic function, parallel institutionalism and the relationship with the state. The article points to the potential offered by Wacquant's theory and suggests that the dismissal of the ghetto concept within the UK ignores its power as a tool of comparison. The article suggests that qualitative and theoretical approaches should seek to complement the work of quantitative social scientists through focusing on everyday social relations and encounters between ethnic minority groups and ‘host’ populations — both within and outwith residential boundaries. It also questions the urban‐centred focus of debates on ethnic segregation.     

Ranking Economics Journals Using Data From a National Research Evaluation Exercise

This paper describes an algorithm for creating a ranking of economics journals, using data from the 2014 UK Research Excellence Framework (REF) exercise. The ranking generated by the algorithm can be viewed as a measure of the average quality of the papers published in the journal, as judged by the REF Economics and Econometrics sub‐panel, based on the outputs submitted to the REF.     

Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China

Previous studies have used complex network theory to examine the characteristics of China's High-Speed Rail (HSR). Nevertheless, little attention is paid to China's HSR network's dynamic evolution and the coevolution of node attributes and embedded structural characteristics. Our study builds China's HSR network using a complex network approach and spatial analysis technique to address this issue. Additionally, we employ a stochastic actor-oriented model (SAOM) to properly decompose the three types of effects on the generation of China's HSR network (i.e., network structure, attribute-based similarity, and exogenous control variables). This study discusses the underlying hypotheses and indicates that 3-cycles is a critical structural factor for the formation of China's HSR network. In terms of the effects of attribute-based similarity, cities with similar Gross Domestic Product (GDP) and geographical proximity are essential nodal drivers for the evolution of the HSR network. Notably, the administrative rank of cities exhibits a significantly negative driving force and a alter effect. These findings shed light on the interactive process of urban regional development and the dynamic evolution of the HSR network, assisting the central and local governments in enacting and implementing appropriate HSR planning policies, ultimately achieving effective urban planning and management.     

Pareto's law of income distribution,or the 80/20 rule

Pareto's Law of Income Distribution forms the basis of the well-known, but often overlooked, ‘eighty-twenty’ rule. The implication is that a small proportion of customers (or donors) are accountable for a very large share of sales turnover or income. This paper examines the impact on fundraising of the pioneering work of Vilfredo Pareto (1848–1923) concerning the distribution of wealth between groups in society, which was first published exactly one hundred years ago, in 1895. It discusses the relevance of Pareto's Law to contemporary fundraising, using case data from UK charities who have put Pareto's assertions to the test. The recognition of the Pareto principle is wholly dependent on data analysis and software tools to perform the calculations and then display Pareto-style reports. Such tools are beginning to be seen in UK and some overseas software packages and general tools, available in the UK nonprofit marketplace. Illustrations of software systems supporting Pareto-style diagnostic analysis are given. At its most basic, Pareto's principle compels fundraisers to look into their databases of supporters to identify the small but potent élite donating segments who always seem to exist among the general mass. The implications for fundraising that flow from such analyses are important and can be far-reaching. They allow fundamental supporter segmentation patterns based on historic donating history to be understood, and, if understood, managed productively. Finally, Pareto compels the decision to alter either fundraising management and allocation of resources, or to manage supporters, rather than appeals, which in the UK continues to be the most common management style.     

Impact of Sibship Size,Birth Order and Sex Composition on School Enrolment in Urban Turkey*

This paper investigates, in a unified framework, the effects of sibship size, birth order and sibling sex composition on children's school enrolment in urban Turkey. We utilize an instrumental variable estimation method to address parents’ joint fertility and schooling decisions using twin births as instruments. We find no causal impact of sibship size on school enrolment. However, there is evidence for a parabolic impact of birth order where middle‐born children fare worse. Sex composition of siblings matters only for female children. Our finding that birth order and sibling sex composition matter more for poorer households suggests that scarce financial resources play an important role in bringing about the sibling composition effects.