scholarly journals The employment and wage effects of export VAT rebates: evidence from China

2020 ◽  
Author(s):  
Bo Gao ◽  
Jing Ma ◽  
Zheng Wang
Keyword(s):  
Employment Effect ◽  
High Productivity ◽  
Product Level ◽  
Level Data ◽  
Wage Effects ◽  
Reallocation Of Resources

AbstractThis paper studies the employment and wage effects of VAT rebates to exporters with comprehensive firm-product-level data of China. It is found that the adjustments in VAT rebates significantly and positively affect firm’s employment but have no statistically significant effect on firm’s wage. Moreover, this paper finds that the employment effect of VAT rebates is heterogeneous across firms. In particular, low-productivity firms are more sensitive to the adjustments of VAT rebates than high-productivity firms, suggesting that an increase of VAT rebates may cause mis-reallocation of resources.

Product-level profitability

2019 ◽  
Vol 33 (1) ◽  
pp. 214-237
Author(s):  
Hannu Hannila ◽  
Joni Koskinen ◽  
Janne Harkonen ◽  
Harri Haapasalo
Keyword(s):  
Business Processes ◽  
Data Driven ◽  
Product Portfolio ◽  
Data Governance ◽  
Content Type ◽  
Technical Product ◽  
Product Level ◽  
Level Data ◽  
Corporate Level

Purpose The purpose of this paper is to analyse current challenges and to articulate the preconditions for data-driven, fact-based product portfolio management (PPM) based on commercial and technical product structures, critical business processes, corporate business IT and company data assets. Here, data assets were classified from a PPM perspective in terms of (product/customer/supplier) master data, transaction data and Internet of Things data. The study also addresses the supporting role of corporate-level data governance. Design/methodology/approach The study combines a literature review and qualitative analysis of empirical data collected from eight international companies of varying size. Findings Companies’ current inability to analyse products effectively based on existing data is surprising. The present findings identify a number of preconditions for data-driven, fact-based PPM, including mutual understanding of company products (to establish a consistent commercial and technical product structure), product classification as strategic, supportive or non-strategic (to link commercial and technical product structures with product strategy) and a holistic, corporate-level data model for adjusting the company’s business IT (to support product portfolio visualisation). Practical implications The findings provide a logical and empirical basis for fact-based, product-level analysis of product profitability and analysis of the product portfolio over the product life cycle, supporting a data-driven approach to the optimisation of commercial and technical product structure, business IT systems and company product strategy. As a virtual representation of reality, the company data model facilitates product visualisation. The findings are of great practical value, as they demonstrate the significance of corporate-level data assets, data governance and business-critical data for managing a company’s products and portfolio. Originality/value The study contributes to the existing literature by specifying the preconditions for data-driven, fact-based PPM as a basis for product-level analysis and decision making, emphasising the role of company data assets and clarifying the links between business processes, information systems and data assets for PPM.

Six comparisons of firm-level and product-level data

2013 ◽  
Vol 20 (4) ◽  
pp. 382-385 ◽  
Author(s):  
A. Cassey ◽  
K. Schmeiser
Keyword(s):  
Firm Level ◽  
Product Level ◽  
Level Data

scholarly journals Job protection deregulation in good and bad times

2019 ◽  
Author(s):  
Romain Duval ◽  
Davide Furceri ◽  
Joao Jalles
Keyword(s):  
Business Cycle ◽  
Projection Method ◽  
The State ◽  
Employment Effect ◽  
Short Term ◽  
Local Projection ◽  
The Past ◽  
Level Data ◽  
Advanced Economies ◽  
State Of The Economy

Abstract This paper explores the short-term employment effect of deregulating job protection for regular workers and how it varies with prevailing business cycle conditions. We apply the local projection method to a newly constructed dataset of major regular job protection reforms covering 26 advanced economies over the past four decades. The analysis relies on country-sector-level data, using as identifying assumption the fact that stringent dismissal regulations are more binding in sectors that are characterized by a higher ‘natural’ propensity to make regular adjustments to the workforce. We find that the response of sectoral employment to deregulation depends crucially on the state of the economy at the time of reform—deregulation increases employment if implemented during an economic expansion, but reduces employment if carried out in a recession. These findings are consistent with theory and are robust to a battery of sensitivity checks.

What makes a successful export? Evidence from firm‐product‐ level data

2012 ◽  
Vol 45 (4) ◽  
pp. 1332-1368 ◽  
Author(s):  
Holger Görg ◽  
Richard Kneller ◽  
Balázs Muraközy
Keyword(s):  
Product Level ◽  
Level Data

Geospatial Mapping as a Guide for Resource Allocation Among Burn Centers in India

2019 ◽  
Vol 41 (4) ◽  
pp. 853-858
Author(s):  
Kavitha Ranganathan ◽  
Charles A Mouch ◽  
Michael Chung ◽  
Ian B Mathews ◽  
Paul S Cederna ◽  
...  
Keyword(s):  
Burn Injury ◽  
Cross Sectional ◽  
Burn Centers ◽  
Optimal Outcomes ◽  
Burn Care ◽  
Burn Center ◽  
Level Data ◽  
Burn Units ◽  
Time Required ◽  
Reallocation Of Resources

Abstract Timely treatment is essential for optimal outcomes after burn injury, but the method of resource distribution to ensure access to proper care in developing countries remains unclear. We therefore sought to examine access to burn care and the presence/absence of resources for burn care in India. We surveyed all eligible burn centers (n = 67) in India to evaluate burn care resources at each facility. We then performed a cross-sectional geospatial analysis using geocoding software (ArcGIS 10.3) and publicly available hospital-level data (WorldStreetMap, WorldPop database) to predict the time required to access care at the nearest burn center. Our primary outcome was the time required to reach a burn facility within India. Descriptive statistics were used to present our results. Of the 67 burn centers that completed the survey, 45% were government funded. More than 1 billion (75.1%) Indian citizens live within 2 hours of a burn center, but only 221.9 million (15.9%) live within 2 hours of a burn center with both an intensive care unit (ICU) and a skin bank. Burn units are staffed primarily by plastic surgeons (n = 62, 93%) with an average of 5.8 physicians per unit. Most burn units (n = 53, 79%) have access to hemodialysis. While many Indian citizens live within 2 hours of a burn center, most centers do not offer ICU and skin bank services that are essential for modern burn care. Reallocation of resources to improve transportation and availability of ICU and skin bank services is necessary to improve burn care in India.

scholarly journals Offshoring and Labor Markets

2018 ◽  
Vol 56 (3) ◽  
pp. 981-1028 ◽  
Author(s):  
David Hummels ◽  
Jakob R. Munch ◽  
Chong Xiang
Keyword(s):  
Labor Markets ◽  
Policy Implications ◽  
Empirical Literature ◽  
Firm Level ◽  
Intermediate Inputs ◽  
Level Data ◽  
Wage Effects ◽  
Wage Employment ◽  
Firm Data ◽  
Industry Level Data

In this paper, we survey the recent empirical literature on the effects of offshoring on wage, employment, and displacement. We start with an overview of the measurement of offshoring, organizing our discussion around the three key elements of offshoring: that it involves intermediate inputs for production (versus final goods for consumption); that it involves imported inputs (versus domestically produced ones); and that the inputs involved could have been produced internally within the same firm. We then briefly discuss the theories of offshoring and survey the literature that examines the wage effects of offshoring: the wave of studies using industry-level data; the wave using firm-level data; the wave using worker-level data; and the wave using matched worker-firm data. For each wave, we highlight the identification strategies used, critically assess its strengths and weaknesses, discuss its connections with theory, and draw out potential policy implications of its findings. Finally, we survey the literature that examines how offshoring affects employment and displacement. We highlight the recent development of a novel cohort-based approach that is specifically designed to address selection with displacement, and capable of identifying the overall effects of offshoring, including wage, displacement, and all other types of transitions. (JEL F23, J24, J31, J63, L24, M55)

Measuring Trade Profile with Granular Product‐Level Data

2019 ◽  
Vol 64 (1) ◽  
pp. 102-117
Author(s):  
In Song Kim ◽  
Steven Liao ◽  
Kosuke Imai
Keyword(s):  
Product Level ◽  
Level Data

Location Proximity and Productivity Spillovers: The Case of Korean Manufacturing Plants

2015 ◽  
Vol 14 (1) ◽  
pp. 104-118 ◽  
Author(s):  
Backhoon Song
Keyword(s):  
Knowledge Spillovers ◽  
Factor Productivity ◽  
Firm Level ◽  
Manufacturing Plants ◽  
High Productivity ◽  
External Knowledge ◽  
Sources Of Knowledge ◽  
Level Data ◽  
Firm Level Data ◽  
New Ideas

Knowledge spillovers have been recognized as an important source of innovation and economic growth in both industry and firm-level data. A firm may reap benefits by locating near other firms in the same geographical region. In this paper, we examine how physical proximity influences a firm's future productivity and its survival possibility. Our results indicate that a firm located in a region with a higher median total factor productivity (TFP) gains higher productivity from other firms in the same region. One possible explanation is that such a firm has more opportunity to access superior external knowledge and to produce more new ideas. Our results also indicate these productivity-enhancing characteristics do not seem to be industry-specific. Finally, we find that high productivity firms are the only significant sources of knowledge spillovers, suggesting that firms benefit most from combining their internal knowledge with the external knowledge of neighboring firms with high TFP on average.

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