Business strategy and systematic risk: Evidence from China
Published date | 01 October 2021 |
Author | Md Jahidur Rahman,Lantian Jia,Rakiba Sultana |
Date | 01 October 2021 |
DOI | http://doi.org/10.1002/jcaf.22514 |
Received: July Accepted: July
DOI: ./jcaf.
RESEARCH ARTICLE
Business strategy and systematic risk: Evidence from China
Md Jahidur Rahman1Lantian Jia2Rakiba Sultana1
Wenzhou-KeanUniversity, Wenzhou,
China
Stevens Institute of Technology,
Hoboken, New Jersey, USA
Correspondence
MdJahidur Rahman, Wenzhou-Kean
University,Wenzhou, China.
Email:mdjahidr@kean.edu
Abstract
Guided by their business strategies, firms develop their competitive advantages
and overcome systematic risks by allocating their limited resources. This study
explores how advertising, labor, R&D, cost, and capital intensities are corre-
lated with the systematic risks of industries in the Chinese market. The
results show that these correlations vary between industries. To easily adapt to
market variations and reduce systematic risks, decision-makers are advised to
design their business strategies according to the characteristicsof their respective
industries.
KEYWORDS
business strategy, systematic risk, R&D intensity, advertising intensity, capital intensity, labor
intensity, cost intensity
JEL CLASSIFICATION
D, D, G, L, L, L, M
1 INTRODUCTION
Firms generally adopt strategies to fulfill the demands of
their shareholders, improve their performance, enhance
the sustainability of their business, and obtain other com-
petitive resources, such as R&D, advertising, and labor.
In formulating those strategies, firms typically identify
their strengths and weaknesses. Depending on their eco-
nomic, social, and political environments, firms also face
various systematic risks, such as interest and exchange
rates, national policies, purchasing power fluctuations,
and macroeconomic factors. Therefore, to adapt to market
variations and reduce systematic risks, firms should con-
sider industry characteristics when formulating their busi-
ness strategies.
In their pioneering work on systematic risk, Mont-
gomery and Singh () argued that risk is significantly
correlated with strategy. Later, Barton ()proposed
that systematic risk is influenced by diversification strate-
gies. Among the factors that potentially influence system-
atic risks, firms’ R&D, capital, and advertising intensities
have received the most attention, with researchers typi-
cally finding that capital and advertising intensities are
negatively correlated with systematic risk. Although busi-
ness and operating theories posit a positive relationship
between R&D intensity and systematic risk, researchers
have yet to reach a consensus on this topic.
To help decision-makers formulate effective business
strategies, this study probes the effects of firms’ R&D,
labor, capital, costs, and advertising intensity on system-
atic risk in the Chinese market. Two research questions
are put forward: how do businessresource intensities affect
systematic risk and its constituents, and do these effects
differ between industries? Exploring these questions can
generate useful insights into how firms’ resource alloca-
tion strategies can reduce their exposure to systematic
risks.
China established its capital market in and has
since expanded its influence across Asia, Central and
Eastern Europe, Africa, and Latin America. The Chinese
stock market significantly affects those of other Asian
economies. International investors are generally attracted
J Corp Account Finance. ;:–. © Wiley Periodicals LLC99wileyonlinelibrary.com/journal/jcaf
100 RAHMAN .
to the stock markets of emerging economies, given the
diversification benefits they provide, and this is especially
true in the Chinese market (Hung, ). Therefore, con-
sidering its growing importance, the characteristics and
operating mechanisms of the Chinese stock market war-
rant further investigation. Therefore, this study focuses on
companies listed on the Chinese stock market to answer its
research questions.
The – data of Chinese A-share firms are cate-
gorized into the following Global Industry Classification
Standard (GICS) sectors: real estate, energy, financials,
materials, information technology, industrials, communi-
cation services, consumer discretionary, healthcare, con-
sumer staples, and utilities. After data cleaning, renowned
market models are used to conduct a preliminary analy-
sis of the firms’ advertising, capital, R&D, cost, and labor
intensities. These results are then used to decompose the
correlations into three constituents: intrinsic business risk,
the degree of financial leverage (DFL), and the degree of
operating leverage (DOL). This decomposition facilitates
the exploration of those factors that contribute to system-
atic risks.
Seven trends are identified, two of which are particularly
important to the formulation of business strategies. First,
there are strong and positive correlations in the energy,
healthcare, and industrials sectors (implying that bene-
fits should be balanced with risks). Second, there are sig-
nificantly negative correlations in other sectors, including
the real estate and financial sectors (which equate greater
resource intensities with lower risks). These trends are
then verified against the current situation in the Chinese
market. The constituents of systematic risk are also decom-
posed to easily identify the main constituents of resource
intensity.
To the best of the author’s knowledge, this paper is the
first to examine how resource intensities affect system-
atic risk and its constituents and how these effects vary
between industries in China. The findings can help firms
design their resource allocation strategiesto reduce the sys-
tematic risks they face. Moreover, although previous stud-
ies have generally focused on one or two factors in the
United States market, this paper simultaneously explores
five resource intensities in various sectors. Business strat-
egy suggestions are put forward according to the current
situation in the Chinese market. Investors and firms may
benefit from the findings, as they can help predict the risks
firms face when intensifying or weakening their resource
allocation in response to market trendsand thus help f irms
make appropriate investment decisions.
The rest of this paper is organized as follows. Section
reviews the literature and proposes the research hypothe-
ses. Section discusses the methodological framework.
Section presents the results. Section discusses the
results and concludes the paper.
2LITERATURE REVIEW AND
HYPOTHESIS DEVELOPMENT
2.1 R&D intensity and systematic risk
Firms must invest in R&D to survive in the market;accord-
ingly, corporate executives prioritize increasing R&D
intensity and acknowledge its significant contribution to
earnings and stock returns (Coles et al., ). Although
investing in R&D may negatively affect a firm’s quar-
terly financial performance (Andras & Srinivasan, ),
a study that tracked US firms from to
revealed that on average, each % of R&D expense input
leads to a .% increase in market-to-book ratio (Pearl,
). Further studies have found that firms specializing in
consumer products have lower R&D intensities compared
with manufacturing firms and that their profit margins are
positively related to their R&D intensity (Andras & Srini-
vasan, ). Future stock returns are also positively asso-
ciated with the ratio of R&D capital to market value (Lev
& Sougiannis, ). Likewise, the volatility of returns has
been positively linked to R&D intensity (Chan et al., ).
As greater risk may lead to higher returns, the systematic
risk firms face may be aggravated by the risks inherent in
R&D; however, R&D improvesthe dynamic eff iciency and
flexibility of firms operating in sluggish markets (Miller &
Bromiley, ).
In recent years, China has adjusted the mode of its
economic development model from extensive to intensive
growth. An empirical analysis of a sample of high-tech
enterprises from Shanxi revealed that firms’ systematic
risks increase with their R&D intensity; in addition, R&D
intensity is positively correlated with intrinsic business
risk but is not significantly correlated with either the DOL
or DFL (Zhang & Jiang, ). In the same vein, Kothari
et al. () reported that by increasing the unpredictabil-
ity of future cash flows, R&D investment exposes firms to
additional risks, including systematic risks.
The relationship between R&D and risk in the United
States is still being debated. Forinstance, although Ho et al.
() argued that R&D intensity is positively related to
systematic risk, greater systematic risk is mainly caused by
greater intrinsic business and operating risks, not the DOL
or DFL. Meanwhile, McAlister et al. () argued that
firms listed on the NYSE can reduce their systematic risk
by investing in R&D.In sum, R&D intensity benefits multi-
ple aspects of firm performance and consequently reduces
systematic risk, benefiting shareholders.
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeStart Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
