Corrigendum: Does climate change affect enterprises' ability to sell their products?

Yu, Siming; Cai, Cheng; Zhang, Shuocheng; You, Peng

doi:10.3389/fevo.2022.1093961

CORRECTION article

Front. Ecol. Evol., 17 January 2023

Sec. Environmental Informatics and Remote Sensing

Volume 10 - 2022 | https://doi.org/10.3389/fevo.2022.1093961

Corrigendum: Does climate change affect enterprises' ability to sell their products?

1. College of Economics and Management, China Three Gorges University, Yichang, China
2. School of Accountancy, Hubei University of Economics, Wuhan, China
3. School of Economics and Management, Wuhan University, Wuhan, China
4. Department of Finance, Shenzhen Ji Yatou Biotechnology Co., Ltd., Shenzhen, China

This article is a correction to:

Does climate change affect enterprises’ ability to sell their products?
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A corrigendum on Does climate change affect enterprises' ability to sell their products? by Yu, S., Cai, C., Zhang, S., and You, P. (2022). Front. Ecol. Evol. 10:944964. doi: 10.3389/fevo.2022.944964

In the published article, there was an error in the legend for Table 3 as published. All the negative signs are not marked. The corrected legend appears below.

Table 3

	*Lnincome*	*Detatem*	*AGDP*	SA	*ROA*	*Size*	*CHAIR_CEO*	CH	*FIC*	*LEV*	*Tobin_QA*	*BTMA*
Lnincome	1
Detatem	−0.025^***	1
AGDP	0.058^***	−0.142^***	1
SA	−0.054^***	0.104^***	−0.075^***	1
ROA	0.086^***	−0.009	0.021^***	0.050^***	1
SIZE	0.868^***	−0.027^***	0.080^***	−0.046^***	0.009	1
CHAIR_CEO	0.171^***	0.039^***	−0.138^***	−0.065^***	−0.046^***	0.178^***	1
CH	−0.231^***	−0.057^***	0.171^***	0.160^***	0.139^***	−0.256^***	−0.318^***	1
FIC	0.093^***	−0.051^***	0.516^***	−0.0100	0.052^***	0.118^***	−0.054^***	0.092^***	1
LEV	0.418^***	0.042^***	−0.051^***	−0.066^***	−0.384^***	0.448^***	0.168^***	−0.313^***	−0.039^***	1
Tobin_QA	−0.412^***	0.014^**	0	0.046^***	0.029^***	−0.435^***	−0.060^***	−0.007	0.001	−0.170^***	1
BTMA	0.504^***	−0.016^**	−0.001	−0.021^***	−0.113^***	0.576^***	0.107^***	−0.086^***	0.008	0.311^***	−0.798^***	1

Correlation coefficients.

^*** and ^** denote significance at the 1, 5, and 10% levels, respectively.

In the published article, there was an error in the legend for Table 4 as published. All the negative signs are not marked. The corrected legend appears below.

Table 4

	(1)	(2)	(3)
	*Lnincome*	*Lnincome*	*Lnincome*
Detatem	−0.158^***	−0.040^**	−0.056^***
	(0.000)	(0.046)	(0.002)
AGDP		−0.001	0.001
		(0.122)	(0.108)
CHAIR_CEO		0.044^***	0.051^***
		(0.000)	(0.000)
SA		−0.061^***	−0.062^***
		(0.002)	(0.001)
SIZE		0.884^***	0.991^***
		(0.000)	(0.000)
CH		−0.001^***	−0.002^***
		(0.002)	(0.000)
ROA		2.984^***	2.813^***
		(0.000)	(0.000)
FIC		−0.002	0.016^***
		(0.605)	(0.000)
LEV		0.724^***	0.830^***
		(0.000)	(0.000)
Tobin_QA		−0.096^***	−0.062^***
		(0.000)	(0.000)
BTMA		−0.325^***	−0.250^***
		(0.000)	(0.000)
Year	No	No	Yes
Ind	No	No	Yes
_cons	21.390^***	1.553^***	−1.119^***
	(0.000)	(0.000)	(0.000)
N	26,786	22,691	22,691
Adj. R²	0.001	0.775	0.844

Impact of climate change on enterprises' sales revenue.

^*** and ^** denote significance at the 1, 5, and 10% levels, respectively.

In the published article, there was an error in the legend for Table 5 as published. All the negative signs are not marked. The corrected legend appears below.

Table 5

	(1)	(2)	(3)
	*Lnincome*	*Lnincome*	*Lnincome*
Frel	−0.001^***	−0.002^**	−0.002^***
	(0.002)	(0.000)	(0.000)
SA		−0.048^**	−0.048^**
		(0.031)	(0.020)
ROA		3.008^***	2.866^***
		(0.000)	(0.000)
SIZE		0.882^***	0.980^***
		(0.000)	(0.000)
Chair_CEO		0.047^***	0.055^***
		(0.000)	(0.000)
CH		−0.002^***	−0.002^***
		(0.000)	(0.000)
Tobin_Q		−0.093^***	−0.058^***
		(0.000)	(0.000)
BTMA		−0.313^***	−0.228^***
		(0.000)	(0.000)
Lev		0.757^***	0.886^***
		(0.000)	(0.000)
AGDP		0.001	0.001^**
		(0.869)	(0.013)
FIC		−0.011^**	0.007^**
		(0.010)	(0.035)
Year	No	No	Yes
Ind	No	No	Yes
_cons	21.434^***	1.760^***	−0.751^***
	(0.000)	(0.000)	(0.000)
N	26,812	26,812	26,812
Adj. R²	0	0.784	0.851

Regression results when using the extreme climate measure.

^*** and ^** denote significance at the 1, 5, and 10% levels, respectively.

In the published article, there was an error in the legend for Table 6 as published. All the negative signs are not marked. The corrected legend appears below.

Table 6

	*Lnincome*
Pilot–post	0.041^***	(0.004)
Pilot	−0.046^***	(0.000)
Post	−0.160^***	(0.000)
AGDP	0.001^***	(0.002)
SA	−0.066^***	(0.000)
CHAIR_CEO	0.050^***	(0.000)
SIZE	0.986^***	(0.000)
CH	−0.002^***	(0.000)
ROA	2.919^***	(0.000)
FIC	0.017^***	(0.000)
Lev	0.889^***	(0.000)
Tobin_Q	−0.047^***	(0.000)
BTMA	−0.181^***	(0.000)
Ind	Yes
Year	Yes
_cons	−1.074^***	(0.000)
N	28,236
Adj. R²	0.847

Impact of low-carbon city pilot policy on enterprises' sales revenue.

^*** and ^** denote significance at the 1, 5, and 10% levels, respectively.

In the published article, there was an error in the legend for Table 7 as published. All the negative signs are not marked. The corrected legend appears below.

Table 7

	(1)	(2)	(3)
	*Lnincome*	*Lnincome*	*Lnincome*
Detatem4	−0.061^***
	(0.001)
Detatem5		−0.067^***
		(0.000)
Detatem6			−0.073^***
			(0.000)
AGDP	0.001	0.001	0.001
	(0.154)	(0.172)	(0.176)
SA	−0.062^***	−0.062^***	−0.062^***
	(0.001)	(0.001)	(0.001)
CHAIR_CEO	0.051^***	0.051^***	0.051^***
	(0.000)	(0.000)	(0.000)
SIZE	0.991^***	0.991^***	0.991^***
	(0.000)	(0.000)	(0.000)
CH	−0.002^***	−0.002^***	−0.002^***
	(0.000)	(0.000)	(0.000)
ROA	2.813^***	2.813^***	2.812^***
	(0.000)	(0.000)	(0.000)
FIC	0.017^***	0.017^***	0.017^***
	(0.000)	(0.000)	(0.000)
Lev	0.830^***	0.831^***	0.830^***
	(0.000)	(0.000)	(0.000)
Tobin_Q	−0.062^***	−0.062^***	−0.062^***
	(0.000)	(0.000)	(0.000)
BTMA	−0.250^***	−0.250^***	−0.250^***
	(0.000)	(0.000)	(0.000)
Ind	Yes	Yes	Yes
Year	Yes	Yes	Yes
_cons	−1.119^***	−1.116^***	−1.113^***
	(0.000)	(0.000)	(0.000)
N	22,691	22,691	22,691
Adj. R²	0.844	0.845	0.845

Impact of temperature variation difference on sales revenue.

^*** and ^** denote significance at the 1, 5, and 10% levels, respectively.

In the published article, there was an error in the legend for Table 8 as published. All the negative signs are not marked. The corrected legend appears below.

Table 8

	Demand side		Supply side	Enterprise side
	(1)	(2)	(3)	(4)
	Large customers	Small customers	Commercial credit	Productivity	Cost of sales	Management fees
	lntop	lnuntop	detbc1	tfp_lp	sale	man
Detatem	−0.070^**	−0.027	−0.005^**	−0.054^***	−0.039	−0.027^*
	(0.016)	(0.435)	(0.050)	(0.002)	(0.202)	(0.064)
AGDP	0.002^***	−0.001	0.000^***	0.002^***	0.001^*	0.002^***
	(0.003)	(0.952)	(0.000)	(0.000)	(0.088)	(0.000)
SA	0.151^***	0.071^**	0.011^***	−0.055^***	−0.139^***	−0.054^***
	(0.000)	(0.049)	(0.000)	(0.003)	(0.000)	(0.000)
CHAIR_CEO	0.070^***	0.015	0.002	0.022^**	−0.039^**	0.035^***
	(0.000)	(0.427)	(0.220)	(0.018)	(0.016)	(0.000)
SIZE	0.799^***	0.980^***	−0.006^***	0.595^***	0.925^***	0.864^***
	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)
CH	−0.003^***	0.001	−0.001^**	−0.001	0.003^***	0.002^***
	(0.000)	(0.643)	(0.011)	(0.265)	(0.000)	(0.000)
ROA	1.726^***	3.199^***	0.118^***	2.989^***	2.928^***	0.109^*
	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)	(0.074)
FIC	0.027^***	−0.009^*	0.004^***	0.036^***	0.015^***	0.034^***
	(0.000)	(0.080)	(0.000)	(0.000)	(0.002)	(0.000)
LEV	0.641^***	0.803^***	0.213^***	0.799^***	0.290^***	0.087^***
	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)
Tobin_Q	−0.036^***	−0.117^***	−0.007^***	−0.030^***	−0.085^***	−0.001
	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)	(0.757)
BTMA	−0.069	−0.186^***	−0.006	−0.094^***	−0.908^***	−0.621^***
	(0.222)	(0.006)	(0.301)	(0.005)	(0.000)	(0.000)
Ind	Yes	Yes	Yes	Yes	Yes	Yes
Year	Yes	Yes	Yes	Yes	Yes	Yes
_cons	−1.863^***	−0.491^**	0.054^***	0.689^***	−2.622^***	−0.863^***
	(0.000)	(0.038)	(0.007)	(0.000)	(0.000)	(0.000)
N	27,901	27,548	19,273	22,281	27,541	28,222
Adj. R²	0.561	0.555	0.300	0.712	0.536	0.790

Regression results for the mechanism of action.

^***, ^**, and ^* denote significance at the 1, 5, and 10% levels, respectively.

In the published article, there was an error in the legend for Table 9 as published. All the negative signs are not marked. The corrected legend appears below.

Table 9

	(1)	(2)
	State-owned enterprises	Private enterprises
Detatem	−0.020	−0.093^***
	(0.519)	(0.000)
AGDP	−0.004^***	0.002^***
	(0.000)	(0.000)
SA	0.203^***	0.083^***
	(0.000)	(0.002)
CHAIR_CEO	0.010	0.028^**
	(0.692)	(0.035)
SIZE	0.962^***	0.976^***
	(0.001)	(0.001)
CH	−0.009	0.001
	(0.200)	(0.540)
ROA	2.420^***	3.350^***
	(0.000)	(0.000)
FIC	0.009^*	−0.006
	(0.077)	(0.163)
Lev	0.665^***	0.683^***
	(0.000)	(0.000)
Tobin_Q	−0.122^***	−0.102^***
	(0.000)	(0.000)
BTMA	−0.654^***	−0.293^***
	(0.000)	(0.000)
Ind	Yes	Yes
Year	Yes	Yes
Coefficient difference test	3.18^*
_cons	1.164^***	0.101
	(0.000)	(0.534)
N	9,333	12,952
Adj. R²	0.779	0.744

Climate change, ownership, and sales revenue.

^***, ^**, and ^* denote significance at the 1, 5, and 10% levels, respectively.

In the published article, there was an error in the legend for Table 10 as published. All the negative signs are not marked. The corrected legend appears below.

Table 10

	(1)	(2)
	Eastern China	Central and western China
Detatem	−0.006	−0.071^**
	(0.820)	(0.012)
AGDP	−0.001	−0.015^***
	(0.621)	(0.000)
SA	−0.062^***	−0.042
	(0.004)	(0.250)
CHAIR_CEO	0.063^***	0.026
	(0.000)	(0.169)
SIZE	0.966^***	1.030^***
	(0.000)	(0.000)
CH	−0.001^***	−0.005^***
	(0.002)	(0.000)
ROA	2.811^***	2.668^***
	(0.000)	(0.000)
FIC	−0.005	0.027^***
	(0.268)	(0.000)
Lev	1.065^***	0.508^***
	(0.000)	(0.000)
Tobin_Q	−0.045^***	−0.078^***
	(0.000)	(0.000)
BTMA	−0.122^***	−0.425^***
	(0.004)	(0.000)
Ind	Yes	Yes
Year	Yes	Yes
Coefficient difference test	2.87^*
_cons	−0.531^***	−1.649^***
	(0.001)	(0.000)
N	14,652	8,039
Adj. R²	0.857	0.830

Climate change, regional economy, and sales revenue.

^***, ^**, and ^* denote significance at the 1, 5, and 10% levels, respectively.

In the published article, there was an error in the legend for Table 11 as published. All the negative signs are not marked. The corrected legend appears below.

Table 11

	(1)	(2)
	Enterprises with weak internal controls	Enterprises with strong internal controls
Detatem	−0.070^**	−0.026
	(0.024)	(0.313)
AGDP	0.001^*	0.001
	(0.068)	(0.250)
SA	−0.059^*	0.060^**
	(0.087)	(0.024)
CHAIR_CEO	0.041^**	0.064^***
	(0.018)	(0.000)
SIZE	1.009^***	0.985^***
	(0.000)	(0.000)
CH	−0.001^**	−0.004^***
	(0.029)	(0.000)
ROA	1.950^***	3.957^***
	(0.000)	(0.000)
FIC	0.019^***	0.019^***
	(0.000)	(0.000)
Lev	0.545^***	1.051^***
	(0.000)	(0.000)
Tobin_Q	−0.105^***	−0.051^***
	(0.000)	(0.000)
BTMA	−0.385^***	−0.111^**
	(0.000)	(0.028)
Ind	Yes	Yes
Year	Yes	Yes
Coefficient difference test	1.05
_cons	−1.401^***	−0.771^***
	(0.000)	(0.000)
N	10,282	10,684
Adj. R²	0.783	0.866

Climate change, internal controls, and sales revenue.

^***, ^**, and ^* denote significance at the 1, 5, and 10% levels, respectively.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

climate change, rising temperatures, sales power, company ability, product selling

Citation

Yu S, Cai C, Zhang S and You P (2023) Corrigendum: Does climate change affect enterprises' ability to sell their products?. Front. Ecol. Evol. 10:1093961. doi: 10.3389/fevo.2022.1093961

Received

09 November 2022

Accepted

20 December 2022

Published

17 January 2023

Volume

10 - 2022

Edited and reviewed by

Federica Cucchiella, University of L'Aquila, Italy

Updates

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Cheng Cai ✉ caicsmile@hbue.edu.cn

This article was submitted to Environmental Informatics and Remote Sensing, a section of the journal Frontiers in Ecology and Evolution

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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