2020 Annual Conference of the OECD Global Forum of Productivity
2020 Annual Conference of the OECD Global Forum of Productivity This year CompNet celebrates its 10th Annual Conference, together with Banque de France as co-host, which will…
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7th CompNet Annual Conference
Economic Growth, Trade and Productivity Dispersion 7 th CompNet Annual Conference, June 21-22, 2018, Leopoldina, Halle (Saale), Germany The main target of this conference was to…
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3rd & 4th CompNet Data Provider Forum
3rd & 4th CompNet Data Provider Forum Given the current circumstances that require social distancing due to COVID-19,it was decided to have the 3rd & 4th CompNet Data Provider…
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7th vintage
7th Vintage CompNet Dataset The CompNet dataset includes a set of micro-aggregated indicators to enhance policy and academic analysis on competitiveness and productivity. All the…
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8th vintage
8th Vintage CompNet Dataset The CompNet dataset includes a set of micro-aggregated indicators to enhance policy and academic analysis on competitiveness and productivity. All the…
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6th vintage
6th Vintage CompNet Dataset CompNet has created a competitiveness indicator dataset including a number of European countries. The dataset is unique in terms of its coverage and…
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Charts
Info Graphs Sometimes pictures say more than a thousand words. Therefore, we selected a few graphs to present our main topics visually. If you should have any questions or would…
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Productivity, Place, and Plants
Benjamin Schoefer, Oren Ziv
Review of Economics and Statistics,
No. 5,
2024
Abstract
Why do cities differ so much in productivity? A long literature has sought out systematic sources, such as inherent productivity advantages, market access, agglomeration forces, or sorting. We document that up to three quarters of the measured regional productivity dispersion is spurious, reflecting the “luck of the draw” of finite counts of idiosyncratically heterogeneous plants that happen to operate in a given location. The patterns are even more pronounced for new plants, hold for alternative productivity measures, and broadly extend to European countries. This large role for individual plants suggests a smaller role for places in driving regional differences.
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Regional Industrial Effects in Germany from a Potential Gas Deficit
Robert Lehmann, Christoph Schult
German Economic Review,
No. 3,
2024
Abstract
We estimate potential regional industrial effects in case of a threatening gas deficit. For Germany, the reduction leads to a potential decrease in industrial value added by 1.6 %. The heterogeneity across German states is remarkable, ranging from 2.2 % for Rhineland-Palatinate to 0.7 % for Hamburg. We emphasize the need for regional input-output tables to conduct economic analysis on a sub-national level, particularly when regional industrial structures are heterogeneous. The approximation with national figures can lead to results that differ both in magnitude and relative regional exposure. Our findings highlight that more accurate policy guidance can be achieved by improving the regional database.
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State Ownership and Financial Statement Comparability
William Francis, Xian Gu, Iftekhar Hasan, Joon Ho Kong
Journal of Business Finance and Accounting,
No. 7,
2024
Abstract
This paper investigates how state ownership affects financial reporting practices in China. Using several measures of state (government) ownership, we show that a one-standard-deviation increase in state ownership decreases financial statement comparability by 36.61%, and the impact is more pronounced when the central authority has majority control of the company. Moreover, lower earnings quality and lower levels of accounting conservatism among state-owned enterprises (SOEs) may explain the lower accounting comparability between SOEs and non-SOEs (NSOEs). Additionally, similar (different) managerial objectives converge (diverge) financial statement comparability between SOEs and NSOEs. Last, the geographical locations of firms also contribute to financial statement comparability. We employ a difference-in-differences design, changes regression and entropy balancing to mitigate potential endogeneity bias.
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