Business Urban Sprawl. A Financial Evaluation of Enterprises in Poland

2021 ◽  
Vol SI (11) ◽  
pp. 5-13
Author(s):  
Piotr LITYŃSKI
Keyword(s):  
Urban Sprawl ◽  
Control Method ◽  
Added Value ◽  
Control Group ◽  
Synthetic Control ◽  
Main Hypothesis ◽  
Production Factors ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Business Entities

The aim of the article is to assess the costs and benefits of enterprises situated in urban sprawl areas in Poland. The main hypothesis is that urban sprawl is beneficial for the businesses located within the urban sprawl area. The synthetic control method used is based on the results of surveys and financial data provided by the Central Statistical Office in Poland for the enterprises located within the urban sprawl area. The object of the research is therefore the finances of those enterprises that are based around the largest Polish cities. The main hypothesis was positively verified. The results of the investigation indicate that lower wage costs are not more significant compared to those of the economic entities in the control group. The benefits for enterprises located in the urban sprawl zone were also diagnosed, including lower burdens resulted from real-estate taxes, energy, foreign services. The added value of the research is also the indication of the financial mechanism of benefits from the location of business entities in the urban sprawl zone. This mechanism is based on the reduction of spatial costs, more efficient use of fixed assets and more intensive use of production factors.

scholarly journals Business Urban Sprawl. A Financial Evaluation of Enterprises in Poland

2021 ◽  
Vol SI (11) ◽  
pp. 5-13
Author(s):  
Piotr LITYŃSKI
Keyword(s):  
Urban Sprawl ◽  
Control Method ◽  
Added Value ◽  
Control Group ◽  
Synthetic Control ◽  
Main Hypothesis ◽  
Production Factors ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Business Entities

The aim of the article is to assess the costs and benefits of enterprises situated in urban sprawl areas in Poland. The main hypothesis is that urban sprawl is beneficial for the businesses located within the urban sprawl area. The synthetic control method used is based on the results of surveys and financial data provided by the Central Statistical Office in Poland for the enterprises located within the urban sprawl area. The object of the research is therefore the finances of those enterprises that are based around the largest Polish cities. The main hypothesis was positively verified. The results of the investigation indicate that lower wage costs are not more significant compared to those of the economic entities in the control group. The benefits for enterprises located in the urban sprawl zone were also diagnosed, including lower burdens resulted from real-estate taxes, energy, foreign services. The added value of the research is also the indication of the financial mechanism of benefits from the location of business entities in the urban sprawl zone. This mechanism is based on the reduction of spatial costs, more efficient use of fixed assets and more intensive use of production factors.

scholarly journals When is a Match Sufficient? A Score-based Balance Metric for the Synthetic Control Method

2020 ◽  
Vol 8 (1) ◽  
pp. 209-228
Author(s):  
Layla Parast ◽  
Priscillia Hunt ◽  
Beth Ann Griffin ◽  
David Powell
Keyword(s):  
Los Angeles ◽  
Control Method ◽  
Control Unit ◽  
Treated Group ◽  
Control Group ◽  
Synthetic Control ◽  
Donor Pool ◽  
Synthetic Control Method ◽  
The Mean ◽  
The Impact

AbstractIn some applications, researchers using the synthetic control method (SCM) to evaluate the effect of a policy may struggle to determine whether they have identified a “good match” between the control group and treated group. In this paper, we demonstrate the utility of the mean and maximum Absolute Standardized Mean Difference (ASMD) as a test of balance between a synthetic control unit and treated unit, and provide guidance on what constitutes a poor fit when using a synthetic control. We explore and compare other potential metrics using a simulation study. We provide an application of our proposed balance metric to the 2013 Los Angeles (LA) Firearm Study [9]. Using Uniform Crime Report data, we apply the SCM to obtain a counterfactual for the LA firearm-related crime rate based on a weighted combination of control units in a donor pool of cities. We use this counterfactual to estimate the effect of the LA Firearm Study intervention and explore the impact of changing the donor pool and pre-intervention duration period on resulting matches and estimated effects. We demonstrate how decision-making about the quality of a synthetic control can be improved by using ASMD. The mean and max ASMD clearly differentiate between poor matches and good matches. Researchers need better guidance on what is a meaningful imbalance between synthetic control and treated groups. In addition to the use of gap plots, the proposed balance metric can provide an objective way of determining fit.

scholarly journals Assessment of the impact of the employment roadmap on the unemployment rate of the Republic of Kazakhstan: synthetic control method

2021 ◽  
pp. 121-130
Author(s):  
T. S. Sokira ◽  
Z. T. Myshbayeva
Keyword(s):  
Unemployment Rate ◽  
Control Method ◽  
Action Plan ◽  
Control Group ◽  
Synthetic Control ◽  
Donor Pool ◽  
Synthetic Control Method ◽  
The Republic ◽  
The Impact ◽  
Weighted Combination

The purpose of the research is to assess the impact of the action plan of the Employment Roadmap on the unemployment rate in Kazakhstan.Methodology. Synthetic Control Method was used in this paper. The method, which compares one or more units exposed to the event and determines what would have happened if the unit had not been treated. In other words, this method creates a weighted combination of control states to create a single «synthetic» control group, in order to approach the counterfactual unit in Kazakhstan in the absence of a plan or Roadmap.The originality / value of the research based on the analysis, panel data from Kazakhstan and 13 donor pool countries for the period 2000-2019 were taken for modeling.Findings: As a result of the study, it was revealed that the unemployment rate would have been 2% higher in 2019 if Kazakhstan had not adopted an action plan in the form of an Employment Roadmap in 2009.

A haláloki diagnózisok megbízhatóságának javítása a népegészségügyi hatóság és a Központi Statisztikai Hivatal együttműködésével

2016 ◽  
Vol 157 (13) ◽  
pp. 504-511
Author(s):  
Mária Szücs ◽  
Dojna Pintérné Grósz ◽  
János Sándor
Keyword(s):  
Public Health ◽  
Cause Of Death ◽  
Health Authority ◽  
Control Method ◽  
International Classification Of Diseases ◽  
Public Health Authority ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Death Data

Introduction: The diagnosis of cause of death is based on the sequence of diagnoses declared by the physician who completes the death certificate that is processed by Central Statistical Office in Hungary. The validity control of the data requires the active involvement of the public health authority. Aim: The authors analyzed the death certificates from Tolna county in order to elaborate and evaluate methods for cause of death data validity control. Method: Diagnoses of cause of death declared by the physician, corrected by the social statistical review in the Central Statistical Office, and revised by public health authority were compared to evaluate the quality of cause of death data. Results: It was found that 5–10% of the cause of death diagnoses declared by physicians required some modification, resulting more than 1% change in county specific mortality statistics of the main International Classification of Diseases groups. Physicians who reported inaccurate cause of death data were identified. 10 indicators were defined to monitor the process elaborated in the project. Conclusions: Co-operation between the Central Statistical Office and public health authorities to improve the quality of cause of death data should be continued because evaluation of public health interventions needs more and more reliable and detailed cause of death statistics. Orv. Hetil., 2016, 157(13), 504–511.

scholarly journals Urbanization Chaos of Suburban Small Cities in Poland: ‘Tetris Development’

Land ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 461
Author(s):  
Anna Majewska ◽  
Małgorzata Denis ◽  
Wioleta Krupowicz
Keyword(s):  
Urban Sprawl ◽  
Kernel Density ◽  
City Center ◽  
Spatial Order ◽  
Small Cities ◽  
Spatial Chaos ◽  
Study Results ◽  
Central Statistical ◽  
Central Statistical Office ◽  
The Eu

This paper investigates the phenomenon of spatial chaos in Poland resulting from urban sprawl. The phenomenon is particularly visible in the case of suburban small cities which, in contrast to cities in the EU-15 countries with similar populations, are expanding excessively, causing a growth of urbanized areas exceeding several times the growth of their population. Suburbs of these cities increasingly resemble a badly played Tetris game. The selected study area consists of several cities in the Warsaw suburban zone where an increased dynamic of these processes can be observed. The paper presents detailed studies concerning the selected representative small cities. The morphology of urban tissue was studied as a marker of spatial order including: development intensity, street grid, plots parameters, presence of technical infrastructure, and distance from the functional city center. The analyses were performed based on cartographic archives, the data of the Central Statistical Office of Poland, topographic database and Kernel Density Estimation. ArcGIS ESRI and AutoCad software was used to present the study results. The conducted studies intend to diagnose the changes in the spatial layout in the context of the objectives of spatial order and sustainable development, and to define the indicators which should be taken into account in spatial planning documents drawn up for the studied areas.

NATURA 2000 SITES IN POLAND AND THEIR IMPACT ON THE FUNCTIONING OF FARMS

2019 ◽  
Vol XXI (2) ◽  
pp. 307-317
Author(s):  
Marek Zieliński ◽  
Jolanta Sobierajewska
Keyword(s):  
Natura 2000 ◽  
The State ◽  
Rural Development Programme ◽  
Plant Cultivation ◽  
Production Factors ◽  
Lower Productivity ◽  
Farm Accountancy Data Network ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Lower Production

The paper described the network of Natura 2000 sites in Poland, the state of spending funds on Package 4. “Valuable habitats and endangered species of birds in Natura 2000 sites of the Agri-environmental-climate measure implemented under the RDP 2014-2020” (Package 4. of the AECM under the Rural Development Programme 2014-2020) as of 31.12.2017 and also assessed the functioning of farms belonging to beneficiaries of this package against a background of farms from outside Natura 2000 sites, which kept accounts for the Polish FADN in the years 2015-2017. It has been determined that, in Poland, the share of areas covered by the Natura 2000 network in the land area of the country is 19.6%, however, in the case of voivodeships and districts, it is varied. In addition, it has been determined that the state of spending funds under Package 4 has, so far, been PLN 518.8 million and has accounted for 29.6% of total funds spent as part of the AECM under the RDP 2014-2020. It turned out that farms belonging to beneficiaries of Package 4, against a background of other farms which kept accounts for the Polish FADN in the years 2015-2017, were characterised, inter alia, by lower production intensity and lower productivity of production factors. Moreover, those farms obtained lower income per 1 ha of UAA. Analyses have been carried out based on the data from the General Directorate for Environmental Protection, the Central Statistical Office in Warsaw, the Agency for Restructuring and Modernisation of Agriculture, the Polish Farm Accountancy Data Network (Polish FADN) and the Institute of Soil Science and Plant Cultivation National Research Institute.

scholarly journals Dynamics of Changes in the Level of Competitiveness of Manufacturing in Poland

2020 ◽  
Vol 34 ◽  
Author(s):  
Elżbieta Roszko-Wójtowicz
Keyword(s):  
Economic Policy ◽  
Total Factor Productivity ◽  
Labour Productivity ◽  
Factor Productivity ◽  
Manufacturing Enterprises ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Level Of Aggregation ◽  
The Subject ◽  
Business Entities

The development of modern economies is inseparably connected with the phenomenon of competition and competitiveness of business entities. Issues in the field of competitiveness of economies, sectors and enterprises have become the subject of intensive analysis worldwide. In Poland, there is also an urgent need to conduct research on various aspects of competitiveness which should thoroughly diagnose the situation in this respect and indicate the development of adequate instruments of economic policy stimulating the growth of competitiveness. This article is a response to this need. The main aim of the study is to assess and compare selected aspects of competitiveness of enterprises from manufacturing divisions. Therefore, the analysis covered manufacturing enterprises (Section C) at the two-digit level of aggregation, i.e. at the level of divisions in this Section. To assess competitiveness in the years 2010-2016, the following measures were used: export/import ratio, intra-industrial trade index (IIT), sold production, labour productivity, and total factor productivity (TFP). The research proceedings were based on data published by the Central Statistical Office (Statistics Poland).

scholarly journals The effect of reduced unemployment duration on the unemployment rate: a Synthetic Control Approach

2020 ◽  
Vol 9 (1) ◽  
pp. 46-73
Author(s):  
Luzius Stricker ◽  
Moreno Baruffini
Keyword(s):  
Unemployment Rate ◽  
Control Method ◽  
Weighted Average ◽  
Control Unit ◽  
Unemployment Duration ◽  
Control Group ◽  
Synthetic Control ◽  
Donor Pool ◽  
Control Approach ◽  
The Impact

This paper examines the impact of the fourth partial revision of the law of unemployment insurance (AVIG) on unemployment dynamics in Switzerland at a cantonal level. The authors apply the Synthetic Control Method (SCM), a matching method for comparative case studies. A counterfactual analysis of the cases studied is performed by combining a control group of several untreated units, which provides a better comparison to the treatment group than a single unit. The control unit is designed as a weighted average of the available cantons in the donor pool, taking into account the similarities between the chosen controls and the treated unit. Once policy changes are controlled, the results suggest a significant effect on the unemployment rate at a cantonal level: the reform had a discernible impact on lowering the unemployment rate in the Italian- and French-speaking cantons in Switzerland.

scholarly journals Evaluation on the Effect of Regional Development Policy: The Case of Guizhou Province’s Catching-up Strategy in China

2021 ◽  
Vol 14 (6) ◽  
pp. 97
Author(s):  
Baiping Zhang
Keyword(s):  
Regional Development ◽  
Central Government ◽  
Control Method ◽  
Economic Effects ◽  
Guizhou Province ◽  
Control Group ◽  
Synthetic Control ◽  
Republic Of China ◽  
Catching Up ◽  
The People

China has been facing the dangerous dilemma of unbalanced regional development as the world does. With the coming of the two centenary goals, facing the peculiar difficulties and present conditions in Guizhou province, the central government of the People’s Republic of China made and implemented the catching-up strategy in Guizhou province in 2012. This paper regards implementing catching-up strategy in Guizhou province as a social quasi experiment, chooses 15 middle and western provinces or municipalities to compose control group, applies provincial panel data from 1998 to 2017, and uses synthetic control method to acquire a synthetic Guizhou province which is specified as a counterfactual condition of Guizhou after 2011 to study the economic effects of catching-up strategy quantitatively. The conclusion of positive econometric analysis indicates: from 2011 onward when implementing catching-up strategy, Guizhou Province’s growth rate of real GDP is higher than ‘the synthetic Guizhou’ by 1.4 percent to 3.4 percent. The paper asserts that in comparison with the universal strategy of regional development, practicing targeted catching-up strategy aiming at special region could realize surpassing speedily.

scholarly journals Has the Accession of Croatia to the EU Affected Business Sentiment in Industry? Synthetic Control Method Approach

2020 ◽  
Vol 29 (4) ◽  
pp. 643-663
Author(s):  
Tihana Škrinjarić ◽  
Mirjana Čižmešija
Keyword(s):  
Control Method ◽  
Positive Impact ◽  
Debt Crisis ◽  
Synthetic Control ◽  
The European Union ◽  
Main Hypothesis ◽  
Synthetic Control Method ◽  
Eu Member States ◽  
The Impact ◽  
The Eu

Some economic and political events determine the level and dynamics of real economic variables on one hand, and business sentiment as a "soft" variable with a good predictive power for those variables, on the other. In this paper, we observe the impact Croatia's accession to the European Union (EU) in 2013 had on the Industrial confidence indicator (ICI) as a measure of business sentiment in Croatia's industry. Entering the EU had a strong positive impact on the economies of countries that had joined the Union. Unlike other new EU member states, which entered the EU in an upward phase of the European business cycle, Croatia entered this community immediately after the stabilization of the European debt crisis and in a long period of recession. Using a novel application of the Synthetic Control Method (SCM) to the business survey (BS) data, the main hypothesis, that Croatia's accession to the EU had a strong positive impact on the ICI (which can be explained as euphoria), is confirmed. Conclusions derived from this research are a contribution to the improvement and popularization of BS and SCM.

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