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Tiêu đề The Impact of Air Pollution on Cash Holdings of Firms in Vietnam
Tác giả Nguyen, Liem1, Trinh, Tien2, Nguyen, Huyen3, Nguyen, Ly4, Le, Tu5, Pham, Van6
Trường học University of Economics and Law
Thể loại article
Năm xuất bản 2023
Thành phố Ho Chi Minh City
Định dạng
Số trang 12
Dung lượng 717,39 KB

Nội dung

This study examines the association between air pollution and cash holdings using a sample of listed firms in Vietnam, a developing country that has a worrisome level of air pollution. Đề tài Hoàn thiện công tác quản trị nhân sự tại Công ty TNHH Mộc Khải Tuyên được nghiên cứu nhằm giúp công ty TNHH Mộc Khải Tuyên làm rõ được thực trạng công tác quản trị nhân sự trong công ty như thế nào từ đó đề ra các giải pháp giúp công ty hoàn thiện công tác quản trị nhân sự tốt hơn trong thời gian tới.

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The impact of air pollution on cash holdings of firms in

Vietnam

Nguyen, Liem 1 , Trinh, Tien 2 , Nguyen, Huyen 3 , Nguyen, Ly 4 , Le, Tu 5 , Pham, Van 6

1,2,3,4,5,6 University of Economics and Law, Ho Chi Minh City, Vietnam Vietnam National University, Ho Chi Minh City, Vietnam

* Corresponding author: Nguyen, Liem

E-mail address: liemnt@uel.edu.vn (Nguyen, T.L.), tientn20404c@st.uel.edu.vn (Trinh, N.T.), huyennhk20404c@

st.uel.edu.vn (Nguyen, H.K.H), lynvh20404c@st.uel.edu.vn (Nguyen, V.H.L), tulm20404c@st.uel.edu.vn (Le, M.T.),

vanpth20404c@st.uel.edu.vn (Pham, T.H.V)

1 Introduction

T he issue of air pollution has been

sig-nificant for the entire world To start with, substantial air pollution has a negative impact on both mental and physical

health of dwellers Exposure to small particles

endangers health conditions and increases risk

of contracting a variety of ailments (Franklin

et al., 2007) Interestingly, Dong et al (2021)

claim that air pollution has a significant effect

on analysts’ mood and is conducive to bad decisions of managers Air pollution limits cor-porate growth by decreasing corcor-porate market value, borrowing capacity, equity returns, and other resources (Li et al., 2019, 2021, Levy &

Yagil, 2011)

In response to air pollution, a number of envi-ronmental protection measures, including rules

to restrict businesses’ ability to operate, have been released Firms are also subject to societal disapproval if they fail to address

a firm Previous studies have revealed a range of factors affecting cash holdings, but little is known about a macro variable: air pollution, which is quite a pressing issue recently and globally This study examines the as-sociation between air pollution and cash holdings using a sample of listed firms in Vietnam, a developing country that has a worrisome level of air pollution The research sample covers non-financial firms listed on the Viet-nam Stock Exchange from 2016 to 2021, retrieved from Thomson Refini-tiv Furthermore, the authors also gather information on air pollution using the particulate matter measurement index (PM2.5) over the years 2016 to

2021 from the contribution of General Consulate of U.S in Vietnam The current research employs conventional estimation strategies including OLS, Fixed effects model, and Random effects model In contrast to previ-ous studies suggesting a positive linkage, we find that air pollution is not significantly related to cash holdings of firms in Vietnam This could be due

to the own situations in Vietnam and that air pollution could reduce (risky) investments We further find that leverage tends to make air pollution have

a more negative effect on cash holdings for firms in Vietnam The findings bring important implications, and are robust to several techniques to en-sure the robustness of findings.

Received

Revised

Accepted

7 th Jun 2023

30 th Aug 2023

14 th Sep 2023

Keywords

air pollution

cash holdings

developing country

Vietnam

interaction effect

DOI:

10.59276/JEBS.2023.12.2551

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tal concerns, thus losing access to resources

Therefore, firms are more likely to facilitate

investments enabling firms to act in line with

stricter environmental requirements (Farrell

et al., 2016; Zhao and Sun, 2016) In general,

the issue of air pollution in developing nations

should be more severe as developed countries

tend to be more e ffective in addressing

envi-ronmental issues.

In order to fund activities to battle

environmen-tal concern, cash is potential Generally, these

investments are quite expensive, while there is

no guarantee for associated financial returns

According to Pecking order theory (Myers and

Majluf, 1984), cash is the least expensive source

of financing due to asymmetric information

Information asymmetry is a major problem,

particularly in developing economies, making

it difficult for firms to obtain external

financ-ing at a reasonable cost Therefore, if firms in

highly polluted areas need to tackle

environ-mental issues, a natural tendency would be to

rely on the internally generated cash flows or

cash holdings; as a result, a positive association

between air pollution and cash holdings in a

developing country could be expected On the

other hand, it is also likely that less stringent

pollution-mitigating measures in less developed

nations refrain firms from saving cash to invest

in activities required to address environmental

pollution, leading to an insignificant relationship

between air pollution and cash holdings in such

countries

Various studies have identified determinants of

corporate cash holdings The macro-level

fac-tors include governmental effectiveness (Chen

et al., 2014; Thakur & Kannadhasan, 2019;

Chen et al., 2018), culture (Chen et al., 2015),

legal efficiency (Shah and Shah, 2016), public

trust (Dudley et al., 2016), political ambiguity

(Xu et al., 2016; Phan et al., 2019), tax

ambigu-ity (Hanlon et al., 2017), banking sector stabilambigu-ity

(Cui et al., 2020) However, there is little

re-search on how air pollution, also a macro-level

determinant, affects cash holdings Until

re-cently, only Li et al (2021) and Tan et al (2021)

have examined this link in China, pointing to a

positive relationship between the two factors.

Debt could affect firms’ tendency to invest in environmental projects, since highly indebted firms tend to be more financially constrained,

at least compared to trade credit financed firms (Guo et al., 2022) Therefore, even when firms are located in highly polluted areas, manag-ers are not likely to save cash for investment

if they have piles of debt to pay back Once again, environmental investment does not pro-vide a financial return, while eating up firms’

resources Vietnamese listed firms rely on debt financing due to the ubiquitous presence of banks At the same time, Vietnam’s environ-mental restrictions are quite laxed, incentiviz-ing firms to prioritize debt payback Given this setting, the current research seeks to confirm the impact of the interaction between leverage and air pollution on corporate cash holdings.

The current research contributes to the litera-ture in a number of ways Firstly, it examines the link between air pollution and cash hold-ings in a highly relevant context- Vietnam, a developing country This context is relevant

due to several rationales First, none research has been conducted in this country Second,

Vietnam has a fledgling financial market and high level of information asymmetry, so cash

is a highly important source of financing (Vo, 2018) Therefore, firms should have fewer incentives to invest in activities to solve pol-lution issue when the requirements are still laxed and the outcome of the investment is not certain Therefore, the impact of air pol-lution on cash holding could be different in Vietnam, compared to the finding of previous studies such as Li et al (2021) and Tan et al

(2021) Third , we believe that firms should have incentives to refrain from cash hoarding for environmental concerns if there is more debt Vietnam’s banking system is considered as

a critical source of financing and debt accounts for a large proportion of firms’ liabilities If debt tends to deter firms from saving cash to address environmental issues, this should be of important implications to stakeholders who care for environment We offer a range of robustness checks, after which the main results remain un-changed, which lends credence to our findings

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Specifically, we employ conventional estimation

strategies including OLS, Fixed effects model,

and Random effects model for a sample of listed

firms from 2016 to 2021 We further use

robust-ness checks, including the addition of control

variables and the examination of the factor of

Covid-19 outbreak

The rest of the current research progresses as

follows Section 2 exhibits the literature and

hypothesis development Sections 3 discusses

the sample, methodology and variable

con-struction Section 4 presents the results of our

empirical examination and the discussion of

results Finally, we present the concluding

remarks, limitations and recommendations.

2 Literature review and hypothesis

devel-opment

The literature suggests a number of harmful

impacts of air pollution on dwellers, degrading

living quality ( S tafford, 2013; Plaisier et al.,

2010) A ir pollution impairs cardiac and

respi-ratory functions, increasing chances of fatality

Franklin et al ( 2015) attribute the amount of

sick days to air pollution Not only does air

pollution degrade physical health, but it also

exerts depressing effect (Zhang et al., 2017),

causing nervousness and irritations ( Evans et

al., 1988) as well as suicidals ( Bakian et al.,

2015)

As far as firms are concerned, air pollution

could lead to poor decision making Ackert et

al (2003) argue that air pollution diminishes

people’s capacity for information processing

Firms might also have to hoard cash to offer

welfare benefits to keep employees or to pay

healthcare expenditure (Apkalu & Ametefee,

2017) F ailing to adhere to environmental

regulations causes firms to experience a sharp

decline in stock values (Ramiah et al., 2013)

Tan et al (2021) suggest that air pollution can

enable pessimism and lower management

cog-nitive capability, as a result, firms tends to raise

cash holding to prevent risk To sum up, firms

have multiple performance-related reasons to

address environmental issues

Finally, to battle air pollution, governments

have been introducing a number of environ-mental policies ( Zhang et al., 2016) Envi-ronmental taxes and administrative fines have increased environmental costs for businesses, forcing investment s on anti-pollution measures (Hu et al., 2022) As a result, large cash hold-ings are required for cautious motives (Keynes, 1936).

Accordingly , it is assumed that cash holdings would positively correlate with air pollution

H1: Air pollution is positively associated with firm’s cash holdings.

Air pollution lowers risk-taking incentives

Air pollution tends to reduce firm investment

in risky projects In addition, air pollution can enhance pessimism and lower management cognitive ability (Tan et al., 2021) As there is lower risk related to investment, firms might have less need to hold cash for precautionary reasons.

Interestingly, Tan et al (2021) find that firms with more cash holdings tend to have lower performance in highly polluted cities in China, compared to less polluted ones Therefore, this evidence could imply that firms should not hold much cash in highly polluted environ-ments First, if air pollution mentally makes executives more risk adverse, firms tend to conduct less investment, especially risky investments, thus making cash holdings costly and prone to subject to agency cost and oppor-tunity cost, see, for example, Jensen & Meck-ling (1976) Second, the regulations in Vietnam might be not as strict as other jurisdictions, so the need for cash holdings to address environ-mental issues should be lower

Vietnam has actually experienced the fastest growing per-capita greenhouse gas emitter annually in 20 years (Internatinonal Trade Administration, 2022) Furthermore, unsus-tainable exploitation of natural resources has been alarming and adversely affect long-term growth It seems that coupled with the strong increase in urbanization and economic growth, air pollution is the cost that Vietnam is paying

Even though stricter laws have been introduced with some enforcement of dust management measures, enhanced monitoring of industrial

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emissions, the enforcement is not strong

(Inter-national Trade Administration, 2022) Nguyen

(2021) using Provincial Governance and Public

Administration Performance Index Surveys

to show that the percentage of respondents

choosing environment as their biggest concern

has dropped from 12.53 percent to 8.85 percent

from 2016 to 2019 Finally, studying

Vietnam-ese Environmental Protection Law, Nguyen

(2020) associates it with backward legislation

and confirms that the enactment capacity is

still low

As a result, air pollution should be negatively

related to cash holdings.

H2 : Air pollution is negatively related to firm’s

cash holdings

If firms need to invest in pollution-abating

activities, cash might help due to its low cost,

at least compared to trade credit (Zhang et al.,

2019) Cash enables firms to continue to fund

their current projects in the event of any shocks

to the credit market (Kaplan and Zingales,

1997; Campbell et al., 2008)

Because pollution-mitigating investment is

ex-pensive and not meant to provide financial

re-turns, compared to investments in production,

firms are more inclined to utilize cash than

debt when investing in pollution protection

Debt puts firms under pressure to pay it back,

which encourages them to invest effectively

This negative effect might be stronger when

cash plays a more significant role as a source

of financing In a developing country like

Viet-nam, information asymmetry is high and the

cost of external financing is high, accordingly

Furthermore, the regulatory strictness is low,

compared to other countries, to allow more

for-eign direct investment and economic growth

These institutional traits make it more likely

for firms to use cash for activities that generate

profits to pay for loans, rather than investments

in pollution control

From the above arguments, debt may weaken

(strengthen) the positive (negative) effect of

cash holdings on investments in pollution

con-trol, in line with the argument that debt reduces

capacity for environmental research (Zhang et

al., 2019) Therefore, it is expected that

lever-age reduces the correlation between air pollu-tion and cash holdings.

H3: The interaction between leverage and air

pollution has a negative association with firm’s cash holding.

3 Research Methodology

The research sample in this study is non-financial firms listed on the Vietnam Stock Exchange from 2016 to 2021 The data were retrieved from Thomson Refinitiv financial database We removed observations that have extreme values, such as negative equity or total debt larger than total assets Firms in the finan-cial sector including banks and finanfinan-cial insti-tutions and insurance companies are excluded from the sample because their financial state-ments differ significantly from the rest (Pan-dey, 2001) The final dataset consists of 2,282 observations, covering 385 firms About a third of the firms are in Industrials (137), while another third (127) are in other manufacturing industries, namely Basic materials, Consumer cyclical and Consumer noncyclicals

We have gathered information on air pollution using the particulate matter measurement index (PM2.5) over the years 2016 to 2021 from the contribution of General Consulate of U.S

in Vietnam The U.S General Consulate has installed air quality monitors in several prov-inces to measure PM 2.5 and publish the data

to monitor air quality in Vietnam (U.S Em-bassy & Consulate in Vietnam, n.d) We obtain the data and calculate the average index of air quality during a year

To test the individual effect of air pollution on cash holdings (Hypotheses H1 and H2), the baseline model in this research is as follows:

Cash i,t = β 0 + β 1 PM25 ijt + β 2 Size i,t + β 3 Lev i,t +

β 4 CFOA i,t + β 5 PTB i,t + β 6 NWC i,t + β 7 ROA i,t + Industry dummies + ε i,t (1)

To test the moderating effect of leverage on the link between air pollution and cash holdings (Hypothesis H3), the interaction term is added

as follows:

Cash i,t = α 0 + α 1 PM25 ijt + α 2 Lev i,t +

α 3 PM2.5*Lev i,t + α 4 Size i,t + α 5 CFOA i,t + α 6 PTB i,t

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+ α 7 NWC i,t + α 8 ROA i,t + Industry dummies +

Where: cash is the dependent variable,

mea-sured by cash and cash equivalents divided by

total assets (Guizani, 2017; Habib et al 2017)

PM25 is the proxy for air pollution, referring

to to particulate matter with an aerodynamic

equivalent diameter less than or equal to 2.5

microns in the atmosphere, which can go

directly to the alveoli PM2.5 is a conventional

measure of air pollution, see, for example, Li et

al (2021) and Tan et al (2021) Unfortunately,

other measures of air pollution in Vietnam are

quite limited, resulting in considerable loss in

observations Therefore, we decide only use

PM2.5 as our sole proxy for air pollution

Firm scale (Size) is measured as the logarithm

of total assets at the end of year t Leverage

(Lev) is computed as the ratio of total debt to

total assets (Tan et al., 2021; Li et al., 2021,

Gul et al., 2020, Phan et al., 2020) Cash flow

(CFOA) is included, because firms that have

higher operating cash flows, calculated as

the ratio of operating cash flow to total

as-sets, may hold more cash (Opler et al., 1999)

Growth opportunities (PTB) are measured as

the ratio of the market value to book value of

equity (Phan et al., 2020) Net working capital

(NWC) is measured by the difference between

current assets and current liabilities to total

as-sets (Gul et al., 2020) Return on asas-sets (ROA)

is defined as net income divided by total assets

Finally, firms of different industries may have

different levels of cash due to their intrinsic op-erations Therefore, industry dummies, in line with Thomson Reuters classification scheme, are added to control for this potential

The current research employs conventional estimation strategies including OLS, Fixed effects model, and Random effects model De-fects including heteroskedasticity and autocor-relation could be handled with robust standard error Furthermore, in order to determine whether multicollinearity between variables exists, we use the Variance Inflation Factor (VIF) (Ke nnedy, 1992) Finally, to ascertain the findings, w e add important control vari-ables First, we control for the level of annual industrial production in each province and the

level of corporate support policy in each prov-ince (Support variable), as well as the investi-gation of the effect of Covid-19 outbreak The rationales for the inclusion of these factors are discussed in the robustness check section All the estimations are performed using Stata 14

4 Empirical results and discussions

Table 1 provides the descriptive statistics for the variables in the empirical models The average value of cash holdings in Vietnam is 15.7%, roughly the same as in the study of T an

et al (2021) for Chinese companies for the period from 2013 to 2018 The average value

of PM2.5 air pollution concentration is 88.3 , ranging from 35.59 to 117.78, suggesting that

Table 1 Descriptive statistics

Source: Author’s calculation from research data

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the overall air quality in Vietnam is poor In

Southeast Asia, Vietnam’s cities are ranked

poorly against other cities in the region , and

globally, Vietnam ranks 36/117 countries with

the highest concentration of PM2.5

(Vnex-press, 2022) The mean of leverage is about

19.6%, indicating that about one fifth of total

assets are financed by debt

Table 2 presents the pairwise correlation

coef-ficients of variables in the model In general,

most of the correlation coefficients between

variables are quite low Air pollution has a

negative association with firm’s cash

hold-ings, offering some first evidence to support

the negative effect hypothesis Nevertheless,

the coefficients in the correlation matrix do not

necessarily constitute a valid base for causal

inferences; as a result, regression analysis is

conducted to give a more robust basis.

Table 3 provides regression results to analyze

the relationship between firm’s cash holdings

and air pollution levels of listed firms in

Viet-nam OLS result suggests that PM2.5 does not

have a significant association with cash at 10

percent The result, therefore, does not support

either Hypothesis H1 or H2 This result also

holds for panel data regression technique that

controls for individual effects which are

preva-lent due to panel data structure (Column 2)

The research result differs from those of

previ-ous studies to some extent Tan et al (2021)

report a positive relationship between the

two factors, but claim that this is due to some

cognitive bias: air pollution causes managers to

be pessimistic in terms of earnings forecasts as well as suffer cognitive bias toward risk aver-sion Tan et al (2021) also claim that the posi-tive relationship between the two factors are due to the strict regulation of Chinese govern-ment Meanwhile, Li et al (2021) argue that air pollution increases the level of cash holdings to fund investments in environmental activities

Nonetheless, Li et al (2021) acknowledge that firms that generate a significant amount of pol-lution are frequently the backbone of the local economy in China If excessive interventions are implemented against heavy polluting busi-nesses, negative impacts on local economic and social development could be expected As

a result, the government might compromise and keep these polluting firms operating nor-mally, leading to these large enterprises feeling less pressure to keep cash for pollution-abating measures Therefore, even though positive relationship between air pollution and cash holdings is recorded, it is still possible that

if regulations are not so strict or the attitude

of government/citizen is not demanding, this relationship could become insignificant

Indeed, the insignificant effect is recorded in the present study First, air pollution could lead

to a tendency to avoid risk among managers,

so firms are likely to reduce (risky) invest-ments This can lead to lower cash held for precautionary purposes for firms in highly pol-luted areas In addition, the attitude of people

Table 2 Correlation matrix

cash 1.0000

size -0.1672 1.0000

nwc -0.2427 -0.2155 1.0000

roa 0.3318 -0.0109 0.0409 1.0000

ptb 0.1236 0.2585 -0.1293 0.2727 1.0000

lev -0.3428 0.3655 -0.2925 -0.2414 0.0070 1.0000

cfoa 0.1776 0.0008 -0.1872 0.3324 0.0751 -0.1384 1.0000

pm25 -0.0519 0.0512 0.0449 -0.0338 0.0083 -0.0251 -0.0703

Source: Author’s calculation from research data

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towards protecting the environment is not

seri-ous and laws need to have stronger enactment

in reality This could be due to the fact that

Vietnamese citizens have been accustomed to

adapting to poor air quality over a long period

of time, as a result of some sacrifice to

at-tract foreign investment to facilitate economic

growth For example, Kim et al (2020) point

out that the exposure to air pollution raises the

awareness of Vietnamese citizens, but there is

no clear linkage between such exposure and

opposition to coal plants Also, in line with Li

et al (2021), polluting firms could be

impor-tant to the economy, so firms might feel less

pressing to solve environmental issues

Fur-thermore, there are a considerable number of

vehicles commuting, contributing significantly

to air pollution by emitting combustion-related pollutants that have reached alarming levels (Nguyen et al., 2021) This is not related to firms’ behavior, partly justifying the insignifi-cant effect of air pollution on cash holdings.

We improve the robustness of the findings by adding important control variables First, in Column (3), we control for the level of an-nual industrial production in each province (PI variable) The impact of air pollution (if any) on cash holdings could be, indeed, due to the impact of high levels of industrial produc-tion, and investment and firm operations are obviously linked to decisions related to cash management Second, in Column (4) we

con-Table 3 The effects of air pollution on firm’s cash holdings

Dep Var.

cash OLS (1) REM-robust (2) REM-robust (3) REM-robust (4)

size -0.011*** (0.002) -0.013*** (0.004) -0.013*** (0.004) -0.013*** (0.004) nwc -0.302*** (0.016) -0.279*** (0.028) -0.279*** (0.028) -0.279*** (0.028) roa 0.560*** (0.044) 0.240*** (0.049) 0.247*** (0.050) 0.241*** (0.050) ptb (0.002) 0.003 (0.002) 0.0009 (0.002) 0.0006 0.0006 (0.002) lev -0.345*** (0.020) -0.265*** (0.035) -0.262*** (0.0002) -0.263*** (0.035) cfoa -0.053** (0.023) (0.020) 0.016 (0.020) 0.016 (0.021) 0.017 pm25 (0.0001) -0.0002 (0.0002) -0.0003 (0.0002) -0.0002 (0.0002) -0.0003

cons 0.460*** (0.060) 0.526*** (0.118) 0.574*** (0.123) 0.500*** (0.117)

Standard error in brackets; *, **, *** Significant at the 10%, 5%, 1% level, respectively PI: industrial

production index, Support: support for business index (taken from Provincial Competitiveness Index)

Source: Author’s calculation from research data

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trol for the level of corporate support policy

in each province (Support variable) These

variables are taken from PCI website

(PCIViet-nam, 2023) If firms receive high support from

local governments, it might imply that firms

could be partly exempted from strict pursuance

of environmental standards Therefore, the

inclusion of these extra variables could change

the previous result Nonetheless, PM25 is still

insignificant and the size of coefficient does

not change markedly

Furthermore, we examine the factor of

Cov-id-19 outbreak The virus outbreak already has

exerted a significant impact on firms

world-wide on all aspects Studies have shown that

due to lockdown policies to prevent the spread

of Covid-19, air pollution reduces Addition-ally, the outbreak effectively affects invest-ment opportunities and introduces uncertainty

to firms’ operations, obviously affecting cash holdings Given that this factor affects both air pollution and cash holdings at the same time,

we divide the sample to two periods: before

2020 (when there is no obvious impact of Co-vid-19 outbreak) and from 2020 to 2021 (when there is strong impact felt across the economy)

Table 4 shows the estimation results for both periods, with (Columns 1, 2) and without further control variables (Columns 3, 4) PM25 remains insignificant throughout the four specifications, ensuring the robustness of the previous findings

Table 4 The effects of air pollution on firm’s cash holdings-Covid factor

Dep Var.

cash Before (1) During (2) Before (3) During (4)

size -0.019*** (0.005) -0.009** (0.005) -0.019*** (0.005) -0.010** (0.005) nwc -0.309*** (0.039) -0.255*** (0.032) -0.310*** (0.039) -0.258*** (0.032) roa 0.306*** (0.063) 0.281*** (0.067) 0.308*** (0.063) 0.284*** (0.069) ptb (0.004) 0.005 (0.002) -0.002 (0.004) 0.005 (0.002) -0.002 lev -0.240*** (0.040) -0.237*** (0.043) -0.241*** (0.039) -0.228*** (0.043) cfoa (0.033) 0.007 (0.023) 0.020 (0.033) 0.009 (0.023) 0.025 pm25 (0.0002) -0.0002 (0.0003) -0.0005 (0.0002) -0.0002 (0.0004) -0.0002

cons 0.660*** (0.132) 0.438*** (0.132) 0.960*** (0.245) 0.408** (0.166)

Standard error in brackets; *, **, *** Significant at the 10%, 5%, 1% level, respectively PI: industrial

production index, Support: support for business index (taken from Provincial Competitiveness Index)

Source: Author’s calculation from research data

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In Vietnam, banks play a significant role in

the financial market as the primary source of

funding for businesses (Nguyen et al., 2018; Vo,

2017) In essence, Zhang et al (2019)

sug-gest that debt may have a negative effect on

pollution protection investment due to its high

financial cost, implying that debt basically

reduces capacity for environmental research

Since investments in environment protection do

not generate profits, firms taking out loans must

put their attention on paying off debt rather than

utilizing that cash to fund such projects This

effect should strengthen in a country with weak

environmental laws/weak enforcement of

envi-ronmental standards As a result, it is anticipated

that debt can moderate the relationship between

firm’s cash holdings and air pollution We

as-certain this through examining the effect of the

interaction between leverage and air pollution

on firm’s cash holdings.

In Table 5, the variable lev*pm25 has a

negative and significant association with cash,

confirming the hypothesis H3 This result

could indicate that in the case of Vietnam, due

to more laxed environmental regulation and

enforcement and attitude of citizens toward environmental issues, debt might emerge as a factor that reduce the need to invest in envi-ronmental protection activities This effect is present for whole the period, as well as before and during the outbreak of Covid-19

5 Conclusions and Implications

Holding the right amount of cash is important

to capitalize on investment opportunities, to facilitate precautionary purposes yet effectively address opportunity cost/agency cost Many studies have provided insights into understand-ing the changes in cash holdunderstand-ings; nonetheless, air pollution receives little attention, especially

in the setting of developing countries

Using a sample of listed firms in Vietnam from

2016 to 2021, we document a non-significant association between air pollution and cash holding Even though this is somehow in-consistent with the positive linkage found in studies in China (Tan et al., 2021; Li et al., 2021), we offer some plausible explanations

to harmonize the results First, the

environ-Table 5 The moderating effect of the relationship between leverage and PM25 on firm’s

cash holdings

cash Whole sample During Covid-19 Before Covid-19

size -0.015*** (0.004) 0.012** (0.005) -0.020*** (0.005) nwc -0.273*** (0.028) 0.242*** (0.033) -0.306*** (0.038) roa 0.247*** (0.049) 0.287*** (0.068) 0.317*** (0.062)

pm25*lev -0.003*** (0.0003) -0.002*** (0.0005) -0.002*** (0.0004)

Standard error in brackets; *, **, *** Significant at the 10%, 5%, 1% level, respectively Lev variable does

not exist in the model since it causes multicollinearity according to our Variance Inflation Factor test, not

tabulated here

Source: Author’s calculation from research data.

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mental protection measures might force firms

to increase cash to fulfil the requirements (Hu

et al., 2022) as well as to serve cautious

mo-tives (Keynes, 1936), laxed regulations and

enforcement together with the not so serious

environmental concerns of people in Vietnam

could lead to an insignificant link between cash

and air pollution Second, air pollution could

also have a negative impact on cash holdings if

managers are made more risk averse and invest

less in general (Tan et al., 2021) In turn, due

to the investment in less risky projects or just

fewer projects overall, less cash is required

Therefore, to encourage firms to be more

envi-ronmentally responsible, regulations should be

stricter and should be strictly enacted.

Secondly, we find that the interaction between

leverage and air pollution has a negative

as-sociation with cash holdingsthe interaction

This might be because activities in environ-mental protection do not generate returns, while firms taking out loans have to prioritize debt payment This effect should strengthen

in a country with weak environmental laws/

weak enforcement of environmental standards, such as Vietnam This implies that for a firm to

be more environmentally responsible, its debt levels should be lower to allow it to have more flexibility to care for investments in environ-mental protection

This study would benefit more if it could ex-pand the sample to conclude other developing countries to see whether the findings hold In addition, we lack data for other proxies for air pollution in Vietnam Therefore, it would serve

to consolidate the results to use other proxies

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