Industry structure,entrepreneurship, and culture: An empirical analysis using historical coalfields

There is mounting evidence demonstrating that entrepreneurship is spatially clustered and that these spatial differences are quite persistent over long periods of time. However, especially the sources of that persistence are not yet well-understood, and it is largely unclear whether persistent differences in entrepreneurship are reflected in differences in entrepreneurship culture across space as it is often argued in the literature. We approach the cluster phenomenon by theorizing that a historically high regional presence of large-scale firms negatively affects entrepreneurship, due to low levels of human capital and entrepreneurial skills, fewer opportunities for entry and entrepreneurship inhibiting formal and informal institutions. These effects can become self-perpetuating over time, ultimately resulting in persistent low levels of entrepreneurship activity and entrepreneurship culture. Using data from Great Britain, we analyze this long-term imprinting effect by using the distance to coalfields as an exogenous instrument for the regional presence of large-scale industries. IV regressions show that British regions with high employment shares of large-scale industries in the 19th century, due to spatial proximity to coalfields, have lower entrepreneurship rates and weaker entrepreneurship culture today. We control for an array of competing hypotheses like agglomeration forces, the regional knowledge stock, climate, and soil quality. Our main results are robust with respect to inclusion of these control variables and various other modifications which demonstrates the credibility of our empirical identification strategy. A mediation analysis reveals that a substantial part of the impact of large-scale industries on entrepreneurship is through human capital.     

TOE框架下智慧城市治理路径的前因组态研究——基于35个重点城市的模糊集定性比较分析

作为一种新型的城市治理模式,智慧城市为经济社会赋能的重要性日益凸显,但现有研究缺乏对智慧城市影响因素和治理路径的深入探讨。针对这一现象,在技术-组织-环境（TOE）框架基础上,构建了智慧城市治理的理论分析框架,并运用模糊集定性比较分析法（fsQCA）对中国35个重点城市案例进行组态分析,研究发现：大数据发展水平缺乏是低水平智慧城市治理绩效的瓶颈条件;高水平智慧城市治理绩效存在4条“殊途同归”的驱动路径,具体分为两种模式,分别是“技术+组织”主导下的治理模式,“组织+环境”主导下的治理模式;低水平治理的前因组态与高水平治理的前因组态形成非对称关系。研究结论有助于加深对智慧城市的治理路径与作用机理的深入探讨。     

Optimization of industrial production of feed blends by fuzzy multi-criteria programming methods

Abstract： This paper presents a model for optimizing industrial production of blend for livestock feed by application of a fuzzy multi-criteria programming method. This paper （1） considers multicriteria problem of industrial production of feed blend optimization in vague conditions, （2） proposes a fuzzy multiple criteria programming （FMCP） model for industrial production of feed blend optimization in vague conditions, （3） applies the proposed model in solving the concrete problem of industrial production of feed blend optimization and （4） points to the advantages of the model usage through sensitivity analysis of compromise solutions.     

The effect of uncertainty on UK investment authorisation: Homogenous vs. heterogeneous estimators

This paper compares pooled and non-pooled models of UK capital investment using the Confederation of British Industrys (CBI) Industrial Trends Survey, focusing on the impact of uncertainty. The uncertainty measure is based on the cross sectional dispersion of optimism about the future business conditions in the industry in which the firm operates. The panel data estimation shows that uncertainty has quantitatively important negative effects on investment. However, if we look at the estimation results at the industry level, we find a great diversity in both estimated elasticities and t-statistics, providing valuable information not available from the pooled model. Finally, we compare the forecast performances of the above models; this analysis confirms that pooled estimators are generally better than non-pooled estimators in terms of out-of-sample forecast performance, but the difference between the two is not very large.     

Key study of bank accounts for young people with using multi-criteria optimization and fuzzy analysis

Using multi-criteria optimization and fuzzy analysis this article aims to select the most suitable bank account for young people. Two scientific questions are asked: Is the same type of student account suitable for an active as well as an inactive client? Are there any free of charge student accounts?

The first part focuses on the introduction to the topic, a summary of the advantages and disadvantages of student accounts and modelling of two target groups. The second part describes the methodology of decision-making by using a fuzzy set theory. Selection of the optimum student account will be made by the transformation matrix. Subsequently, the retransformation matrix is set. The most suitable student accounts are again selected for each profile and the results are compared with the analysis in the first part. To complete the solution, the last part of the article focuses on decision-making with the uncertainty of input information. Due to ignorance of their own monthly needs and the number of payments, fuzzy sets are used. In addition to the active and passive client, a third profile will be newly created and can be identified with some of the profiles to a certain extent.     

The impact of private vs. public ownership on the level and structure of employment

We examine the effects of private vs. public ownership on the level and structure of employment using uncommonly rich data on the population of Portuguese firms from 1991 to 2009. We find that private ownership is associated with sizeable job losses. This occurs whether we consider privatizations or nationalizations, and the relationship tends to be stronger in the presence of foreign capital. We also find some evidence that private ownership is associated with higher skill utilization, particularly following privatizations and when foreign investment is present. The estimated job losses associated with private ownership are consistent with a theory in which the shift in ownership increases the degree of profit orientation and leads to lower job security.     

Patents,R&;D and lag effects: evidence from flexible methods for count panel data on manufacturing firms

This paper investigates the relationship between patents and research and development expenditures using new longitudinal patent data at the firm level for the U.S. manufacturing sector from 1982 to 1992. The paper also develops a new class of count panel data models based on series expansion of the distribution of individual effects. Estimation results from various distributed lag and dynamic multiplicative panel count data models show that the contemporaneous relationship between patenting and R&D expenditures continues to be strong, accounting for over 60% of the total R&D elasticity. The lag effects are higher than have previously been found for the 1970s data. We would like to thank Chris Bollinger, Bronwyn Hall and Paula Stephan for useful comments on the previous version of the paper. Earlier versions were presented at the 11th International Conference on Panel Data, Texas A&M University, the Midwest Econometrics Group Meeting, and the Annual Conference of the Southern Economic Association.     

Determinants of obesity in Brazil: the effects of trade liberalization and socio-economic variables

This article aims to evaluate a possible relation between increased Brazilian trade openness and increasing observed rates of overweight and obesity during the last 25 years. We develop an economic model where formal trade barriers are eliminated, and resulting sociocultural outcomes such as the adoption of westernized lifestyle in traditional non-western countries prevails, which could imply a health externality. In order to empirically analyse the influence of trade flows on overweight and obesity in Brazil, a balanced fixed-effects panel model has been estimated. Data for the 26 Brazilian states plus the Federal District are run for 1988/1989, 2002 and 2008. We found that an increase in trade openness leads to an increase in overweight and obesity ratios in Brazil. Hence results seem to point that there is a health externality in Brazil due to trade liberalization. However, more consistent evidence may be necessary to convince politicians and policymakers that any interference will be necessary to correct this externality.     

Measurement of fiscal rules: Introducing the application of partially ordered set (POSET) theory

Data on (economic) institutions are often available only as observations on ordinal, inherently incomparable properties, which are then typically aggregated to a composite index in the empirical social science literature. From a methodological perspective, the present paper advocates the application of partially ordered set (POSET) theory as an alternative approach. Its main virtue is that it takes the ordinal nature of the data seriously and dispenses with the unavoidably subjective assignment of weights to incomparable properties, maintains a high standard of objectivity, and can be applied in various fields of economics. As an application, the POSET approach is then used to calculate new indices on the stringency of fiscal rules for 81 countries over the period 1985–2012 based on recent data by IMF (2012). The derived measures of fiscal rules are used to test their significance for public finances in a fiscal reaction function and compare the POSET with the composite index approach.     

Considering the effects of imprecision and uncertainty in ecological footprint estimation: An approach in a fuzzy environment

This paper demonstrates the development of the Ecological Footprint within a fuzzy environment. The approach taken provides a means to understand the impacts of imprecision and uncertainty in the input-output framework, which forms a cornerstone of many recently constructed Footprint estimates. The paper uses, as a basis, an example of Footprint construction presented in the paper of Bicknell et al. [Bicknell, K.B., Ball, R.J., Cullen, R., Bigsby, H.R., 1998. New methodology for the Ecological Footprint with an application to the New Zealand economy. Ecological Economics 27, 149-160]. The analysis considers levels of fuzziness surrounding the technical coefficients in the underlying input-output framework. The results presented fully exposit the effect of the defined analysis, including the presentation of; fuzzy sector Ecological Footprints and overall fuzzy Ecological Footprint. Accompanying these findings, the fuzzy versions of certain moments associated with these Footprints are also presented, namely possibilistic mean and variance. The findings contribute to the elucidation of the potential policy impacts afforded when acknowledging imprecision and uncertainty in the data used in estimating Ecological Footprints.     

Determinants of firm survival: a duration analysis using the generalized gamma distribution

We use parametric duration analysis to study the survival of Austrian firms. We find that hazard rates in both manufacturing and services initially increase, reach a peak after the first year of operation and then decrease with age. The maximum hazard rate is higher in services. We also find differences in hazard rates among different types of manufacturing industries distinguished by the nature of their sunk costs, their reliance on human resources and inputs from external services. Finally, we find that larger initial size and higher market growth, and at the same time lower net entry and declining market concentration prolong the life of an entrant.

The Determinants of Foreign Direct Investment in the CEECs: New evidence from sectoral patterns

This paper investigates the determinants of European Union FDI in the CEECs at sectoral level. The aim is to understand whether and to what extent FDI undertaken in different sectors reacts to the characteristics of the host countries. The analysis is based on a dataset created specifically for this purpose. It concentrates on the manufacturing sectors, classified according to the Pavitt taxonomy. Firstly, data summarizing the recent trend of FDI in the CEECs is presented and then empirical evidence given to account for differences between sectors. The estimated model is a generalization of a three-way fixed effect model incorporating 'classic' variables, such as labour costs as well as country-specific variables, i.e., the stage reached in the transition process. The results confirm the presence of heterogeneity at sector level.     

Underreporting of Top Incomes and Inequality: A Comparison of Correction Methods using Simulations and Linked Survey and Tax Data

Household surveys do not capture incomes at the top of the distribution well. This yields biased inequality measures. We compare the performance of the reweighting and replacing methods to address top incomes underreporting in surveys using information from tax records. The biggest challenge is that the true threshold above which underreporting occurs is unknown. Relying on simulation, we construct a hypothetical true distribution and a “distorted” distribution that mimics an underreporting pattern found in a novel linked data for Uruguay. Our simulations show that if one chooses a threshold that is not close to the true one, corrected inequality measures may be significantly biased. Interestingly, the bias using the replacing method is less sensitive to the choice of threshold. We approach the threshold selection challenge in practice using the Uruguayan linked data. Our findings are analogous to the simulation exercise. These results, however, should not be considered a general assessment of the two methods.     

Technology roadmap through fuzzy cognitive map-based scenarios: the case of wind energy sector of a developing country

In this research, a national-level wind energy roadmap is developed through scenario planning. Multiple future scenarios are developed using the fuzzy cognitive maps (FCM) approach. This research has extended technology roadmapping (TRM) through FCM-based scenario analysis. Building scenarios with FCM is a new approach, and for the first time, to the best of our knowledge, FCM-based scenarios are developed for the wind energy sector of a developing country. Based on these multiple scenarios, a TRM has been developed. Scenario planning and TRM techniques are combined in this study. This research approach is applied to the wind energy sector of Pakistan as a research case. The TRM has four layers: strategic objectives, targets, barriers, and action items. Expert judgement is used to develop scenarios and TRMs.     

The role of market-oriented institutions in the deployment of renewable energies: evidences from Europe

Focusing on European countries, this article investigates the link between market-oriented institutions, as measured by the Economic Freedom Index, and the production of energy from renewable sources. A dynamic panel approach shows that this correlation is positive and significant while the subcomponents of the Economic Freedom Index reveal that not all market-oriented institutions have a similar impact. Indeed, long-term price stability and freedom to trade boost the reliance on renewable energies whereas the importance given to markets rather than governments has no significant impact.     

Determinants of bank cost efficiency in transition economies: evidence for Latin America,Central and Eastern Europe and South-East Asia

In this study, we adopt Wang’s (2002) heteroscedastic stochastic frontier model, which allows us to investigate bank cost efficiency and to measure the marginal effects of some variables on both the level and the variability of inefficiency. In recent years, the financial crisis has significantly affected the banking systems of the transition countries. Hence, the efficiency is of major importance for the stability of the banks. Regarding the determinants of efficiency, we find evidence that banks that follow a more cautious strategy, characterized by lower risk appetite and average expectations on profitability, have higher cost efficiency. We also find that traditional deposit-taking and loan-making still remain the most efficient activity of the banks. Additionally, the results showed that a higher Gross Domestic Product growth rate implies an increase in the inefficiency level, indicating an unsustainable bank management behaviour, which in periods of economic growth adopts policies that can generate inefficiency in order to gain market share and to obtain higher bonuses. Country cost efficiency results show significant differences. The banking systems in transition countries in South Eastern Asia appear to have a higher cost efficiency level. Also, the effects of the financial crisis were less significant in this region.     

Determinants of renewable energy adoption in China and India: a comparative analysis

This article examines the dynamic relationships among output, carbon emission and renewable energy generation of India and China during the period 1972 to 2011 using a multivariate vector error correction model (VECM). The results for India reveal unidirectional short-run causality from carbon emission to renewable energy generation and from renewable energy generation to output, whereas in the long run, the variables have bidirectional causality. Causalities in China give a rather different scenario, with a short-run unidirectional causality from output to renewable energy and from carbon emission to renewable energy generation. In the long run, for China, unidirectional causality is found from output to renewable energy generation, while bidirectional causality is found between carbon emission and renewable energy generation.     

Assessing the economic impact of entrepreneurship on a regional economy using social accounting matrices: the case of Andalusia

This article analyses the impact that entrepreneurial activity has, from the economic point of view, on a regional economy (Andalusia), based on a Social Accounting Matrix linear model. Moreover, to measure entrepreneurship at regional level, it is defined what can be considered an entrepreneurial initiative company from a quantitative point of view. The results obtained, in terms of Production, GDP and job creation, show how entrepreneurship, in the case of Andalusia, contributes to the sustainability of the economy, its growth and, above all, the reduction of unemployment in the short term.