Is output growth of Chinese manufacturing firms input or productivity driven? A flexible production function approach with endogenous inputs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A97464" target="_blank" >RIV/60460709:41110/23:97464 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s00181-023-02505-8" target="_blank" >https://link.springer.com/article/10.1007/s00181-023-02505-8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00181-023-02505-8" target="_blank" >10.1007/s00181-023-02505-8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Is output growth of Chinese manufacturing firms input or productivity driven? A flexible production function approach with endogenous inputs

Popis výsledku v původním jazyce

In this paper, we focus on estimating output growth and its components attributed to quasi-fixed inputs, variable inputs, and productivity change, while treating variable inputs as endogenous. We consider two approaches. In the classical approach the time trend variable proxies for technical (productivity) change, while in the productivity (proxy variable) approach, we add a "productivity" term which is correlated with the variable inputs. Therefore, estimation strategies in the two models are different. Instead of using a Cobb-Douglas production function, we employ a translog production function to add flexibility. We showcase our theoretical results with Chinese manufacturing as an empirical exercise.

Název v anglickém jazyce

Is output growth of Chinese manufacturing firms input or productivity driven? A flexible production function approach with endogenous inputs

Popis výsledku anglicky

In this paper, we focus on estimating output growth and its components attributed to quasi-fixed inputs, variable inputs, and productivity change, while treating variable inputs as endogenous. We consider two approaches. In the classical approach the time trend variable proxies for technical (productivity) change, while in the productivity (proxy variable) approach, we add a "productivity" term which is correlated with the variable inputs. Therefore, estimation strategies in the two models are different. Instead of using a Cobb-Douglas production function, we employ a translog production function to add flexibility. We showcase our theoretical results with Chinese manufacturing as an empirical exercise.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Empirical Economics

ISSN

0377-7332

e-ISSN

0377-7332

Svazek periodika

neuvedeno

Číslo periodika v rámci svazku

neuvedeno

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

28

Strana od-do

—

Kód UT WoS článku

001116504400001

EID výsledku v databázi Scopus

2-s2.0-85178891343