scholarly journals GVC and wage dispersion. Firm-level evidence from employee?employer database

Equilibrium ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. 357-375
Author(s):  
Dagmara Nikulin ◽  
Joanna Wolszczak-Derlacz ◽  
Aleksandra Parteka
Keyword(s):  
Wage Inequality ◽  
Value Added ◽  
Research Area ◽  
Firm Level ◽  
Level Data ◽  
Research Gap ◽  
Micro Level ◽  
Sector Type ◽  
Sample Heterogeneity ◽  
Wage Inequalities

Research background: Wage inequalities are still part of an interesting policy-oriented research area. Given the developments in international trade models (heterogeneity of firms) and increasing availability of micro-level data, more and more attention is paid to wage differences observed within and be-tween firms. Purpose of the article: The aim of the paper is to address the research gap concerning limited cross-country evidence on a nexus of wage inequality?global value chains (GVCs), analysed from the perspective of wage inequality components within and between firms. Methods: This paper uses a large employee?employer database derived from the European Structure of Earnings Survey (SES), combined with sector-level indicators of GVC involvement based on the World Input-Output Database (WIOD). As a result, a rich database covering more than 7.5 million observations is created. The regression-based decomposition modelling technique developed by Fiorio and Jenkins (2010) is used to identify the contributions of different factors to wage inequalities, focusing on the components within and between firms. Findings & value added: The analysis presented in this paper aimed to show the contribution of GVC involvement, among various other factors, to the observed inequality of wages. Due to the use of a rich database that merges employer and employee data, the effects materialised with respect to different types of wages could be analysed separately, in particular components between and within firms. The general conclusion from the regression-based decomposition in log wages is that GVCs contribute marginally to the observed wage inequality in the European sample analysed in this paper. Some differences confronting the components within and between firms (the latter dominates) are observed; there is also certain intra sample heterogeneity in the estimated results (e.g. due to sector type or country group), but the general result is robust.

scholarly journals Who Really Benefits from Consumption Tax Cuts? Evidence from a Large VAT Reform in France

2019 ◽  
Vol 11 (1) ◽  
pp. 38-63 ◽  
Author(s):  
Youssef Benzarti ◽  
Dorian Carloni
Keyword(s):  
Value Added ◽  
Consumption Tax ◽  
Difference In Differences ◽  
Firm Level ◽  
Employment Effects ◽  
Level Data ◽  
Price Effects ◽  
Firm Level Data ◽  
Material Goods ◽  
Firm Owners

This paper evaluates the incidence of a large cut in value-added taxes (VATs) for French sit-down restaurants in 2009. In contrast to previous studies, which only focus on the price effects of VAT reforms, we estimate the effects of the VAT cut on four groups: workers, firm owners, consumers, and suppliers of material goods. Using a difference-in-differences strategy on firm-level data, we find that: firm owners pocketed more than 55 percent of the VAT cut; consumers, sellers of material goods, and employees shared the remaining windfall with consumers benefiting the least; and the employment effects were limited. (JEL H22, H25, L83)

scholarly journals Measuring trade in value added with firm-level data

2021 ◽  
Vol 129 ◽  
pp. 103434
Author(s):  
Rudolfs Bems ◽  
Ayumu Ken Kikkawa
Keyword(s):  
Value Added ◽  
Firm Level ◽  
Level Data ◽  
Firm Level Data ◽  
Trade In Value Added

Transactional dynamics in European R & D networks: an assessment of Eureka

2015 ◽  
Vol 18 (3) ◽  
pp. 330-354
Author(s):  
Bruno Brandão Fischer ◽  
José Molero
Keyword(s):  
Transaction Costs ◽  
Transaction Cost Economics ◽  
Empirical Support ◽  
Research Area ◽  
Dynamic Interactions ◽  
Firm Level ◽  
Content Type ◽  
Dynamic Framework ◽  
Level Data ◽  
Ex Ante

Purpose – The purpose of this paper is to verify the impacts of the transaction costs rationale on economic agents’ innovative results when they engage in European R & D networks, supplying both firms and policymakers with empirical support for improved decision making toward economic competitiveness and construction of the European research area. Furthermore, unlike many transaction cost economics assessments, the authors evaluate the existence of transaction costs following a dynamic framework of analysis (instead of using solely ex ante governance choice as a driver of inter-firm “friction” management), offering a novel perspective on these phenomena. Design/methodology/approach – Data consist of firm-level information from Eureka’s Final Reports (1995-2006) for Spanish, Italian, French, British and German firms. Empirical assessments were performed through a two-step approach of direct and indirect effects of network management and potential sources of disturbances. Ordinal regressions were applied in order to identify transaction costs’ relevance as drivers of firms’ technological and commercial outcomes, as well as on managerial quality of alliances. Statistical controls include microeconomic and project-specific variables. Findings – Results highlight the role played by transactional aspects as drivers of companies’ outcomes and managerial complexity. Furthermore, the authors find robust evidence that formal ex ante governance structures are incapable of satisfactorily addressing dynamic disturbances that take place within R & D networks. Whereas such findings are directly related to existing transaction costs, the authors find no support for the usual variables attributed to increased complexity in international inter-firm relationships. Research limitations/implications – Self-selection issues are inherently related to the research instrument (i.e. Eureka’s Reports), while further firm-level data could not be obtained since confidentiality issues protected companies’ names and sectors. Also, network-level data are not available, allowing the evaluation of individual perceptions only. Originality/value – While literature addresses the issue of transaction costs in R & D networks via theoretical assumptions and rough proxies, this assessment offers an in-depth evaluation of a set of valuable indicators with direct implications for researchers, managers and policymakers. Main contributions concern the identification of dynamic interactions (and their respective disturbances) as a key feature of the overall performance of R & D networks, stressing the non-linearity of economic processes in these hybrid relationships, an issue that has been poorly tackled by previous empirical investigations.

scholarly journals Soy dairy performance metrics

2021 ◽  
Vol 21 (105) ◽  
pp. 19016-19039
Author(s):  
J Krause ◽  
◽  
M Cornelius ◽  
P Goldsmith ◽  
M Mzungu ◽  
...  
Keyword(s):  
Performance Metrics ◽  
Dairy Product ◽  
Value Added ◽  
Regulatory Compliance ◽  
Fixed Costs ◽  
Firm Level ◽  
Recordkeeping System ◽  
Tropical Environments ◽  
Level Data ◽  
Manufacturing Technologies

Soybean (Glycine max (L. Merr.) has been a crop of interest to address both poverty and malnutrition in the developing world because of its high levels of both protein and oil, and its adaptability to grow in tropical environments. Development practitioners and policymakers have long sought value added opportunities for local crops to move communities out of poverty by introducing processing or manufacturing technologies. Soy dairy production technologies sit within this development conceptual model. To the researchers’ knowledge, no research to date measures soy dairy performance, though donors and NGOs have launched hundreds of enterprises over the last 18 years. The lack of firm-level data on operations limits the ability of donors and practitioners to fund and site sustainable dairy businesses. Therefore, the research team developed and implemented a recordkeeping system and training program first, as a 14-month beta test with a network of five dairies in Ghana and Mozambique in 2016-2017. Learning from the initial research then supported a formal research rollout over 18 months with a network of six different dairies in Malawi and key collaboration from USAID’s Agricultural Diversification activity. None of the beta or rollout dairies kept records prior to the intervention. The formal rollout resulted in a unique primary dataset to address the soy dairy performance knowledge gap. The results of analysis show that the dairies, on average, achieve positive operating margins of 61%, yet cannot cover the fixed costs associated with depreciation, amortization of equipment and infrastructure, working capital, marketing and promotion, and regulatory compliance. The enterprises in our sample operate only at 9% of capacity, which limits their ability to cover the normal fixed costs associated with the business. The challenge is not the technology itself, as when operated, it produces a high-quality dairy product. The challenges involve a business that requires too much capital for normal operations relative to a nascent and small addressable market.

Exporting and environmental performance: where you export matters

2022 ◽  
Author(s):  
Juan S. Blyde ◽  
Mayra A. Ramírez
Keyword(s):  
Developing Countries ◽  
High Income ◽  
Firm Level ◽  
Percentage Point Increase ◽  
Level Data ◽  
Point Increase ◽  
Firm Level Data ◽  
Micro Level ◽  
The Relationship

Empirical analyses that rely on micro-level panel data have found that exporters are generally less pollutant than non-exporters. While alternative explanations have been proposed, firm level data has not been used to examine the role of destination markets behind the relationship between exports and pollution. In this paper we argue that because consumers in high-income countries have higher valuations for clean environments than consumers in developing countries, exporters targeting high-income countries are more likely to improve their environmental outcomes than exporters targeting destinations where valuations for the environment are not high. Using a panel of firm-level data from Chile we find support to this hypothesis. A 10 percentage point increase in the share of exports to high-income countries is associated with a reduction in CO2 pollution intensity of about 16%. The results have important implications for firms in developing countries aiming to target high-income markets.

scholarly journals Measuring Global Value Chains

2018 ◽  
Vol 10 (1) ◽  
pp. 207-236 ◽  
Author(s):  
Robert C. Johnson
Keyword(s):  
Multinational Firms ◽  
Bilateral Trade ◽  
Value Added ◽  
Global Value Chains ◽  
Value Chains ◽  
Production Networks ◽  
Input Output ◽  
Firm Level ◽  
Level Data ◽  
Production Stages

Recent decades have seen the emergence of global value chains (GVCs), in which production stages for individual goods are broken apart and scattered across countries. Stimulated by these developments, there has been rapid progress in data and methods for measuring GVC linkages. The macro approach to measuring GVCs connects national input–output tables across borders by using bilateral trade data to construct global input–output tables. These tables have been applied to measure trade in value added, the length of and location of producers in GVCs, and price linkages across countries. The micro approach uses firm-level data to document firms’ input sourcing decisions, how import and export participation are linked, and how multinational firms organize their production networks. In this review, I evaluate progress in these two approaches, highlighting points of contact between them and areas that demand further work. I argue that further convergence between these approaches can strengthen both, yielding a more complete empirical portrait of GVCs.

THE HETEROGENEOUS TAX BURDEN: EVIDENCE FROM FIRM-LEVEL DATA IN CHINA

2018 ◽  
Vol 63 (04) ◽  
pp. 1003-1035 ◽  
Author(s):  
JIANLIANG YE ◽  
XIAOHAN GUO ◽  
DEMING LUO ◽  
XIANGRONG JIN
Keyword(s):  
Opposite Effect ◽  
Value Added ◽  
Tax Burden ◽  
Eastern Region ◽  
Firm Level ◽  
Industrial Enterprises ◽  
Tax Reduction ◽  
Level Data ◽  
Policy Suggestions ◽  
The Relationship

Firms’ behaviors are not only affected by their taxation burden level, but also their differences from each other. In this paper, we use Chinese Industrial Enterprises Database (CIED) to investigate the relationship between firms’ heterogeneity of tax burden and firms’ characteristics, such as size, ownership, exportation and location. We measure a firm’s tax burden in three ways, the value-added tax (VAT) burden, the corporate income tax (CIT) burden, and the total tax burden. By using a Hausman–Taylor estimation, we find: (1) The CIT burden is positively correlated to the size, while other two tax burdens are not; (2) Both the VAT burden and the total tax burden of SOEs are significantly heavier than those of non-SOEs, while the CIT burden shows the exactly opposite effect; (3) Exporters have a remarkably lower tax burden than non-exporters for all three tax burden measures; and (4) The western region and particularly the central region have lighter tax burden than the eastern region for all three tax burden measures. We also provide empirical evidence and policy suggestions for continuing to proceed with the structural tax reduction and the structural fiscal reform in China.

scholarly journals The Gains from Input Trade with Heterogeneous Importers

2018 ◽  
Vol 10 (4) ◽  
pp. 77-127 ◽  
Author(s):  
Joaquin Blaum ◽  
Claire Lelarge ◽  
Michael Peters
Keyword(s):  
Theoretical Result ◽  
Value Added ◽  
Data Input ◽  
Firm Level ◽  
Consumer Prices ◽  
Level Data ◽  
Firm Level Data ◽  
Aggregate Effects ◽  
Input Markets

Firms differ substantially in their participation in foreign input markets. We develop a methodology to measure the aggregate effects of input trade that takes such heterogeneity into account. We provide a theoretical result that holds in a variety of settings: the firm-level data on value added and domestic expenditure shares in material spending is sufficient to compute the change in consumer prices due to a shock to the import environment. We characterize the bias of approaches that rely on aggregate statistics. In an application to French data, input trade reduces the prices of manufacturing products by 27 percent. (JEL D24, E31, F12, F14, L11, L25, L60)

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