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Transformation of ecological footprint through financial development and technological innovation

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Abstract

The role of financial development and technological innovation on environmental quality is insufficiently examined by researchers for emerging Asian nations. Thus, this paper scrutinizes the impact of financial progress and technological innovation on the ecological footprint (EF) in the context of emerging Asian countries considering data for the period 1985–2018. The results obtained from Cross-Sectionally Augmented Autoregressive Distributed Lag approach confirm that financial development related to EF is positive, while technological innovation concerning EF is significantly negative. The Dumitrescu–Hurlin (D–H) granger causality test identified a statistically significant unidirectional relationship between financial development and EF in which technological innovation has a bidirectional association with EF. The policy implications of this paper suggest that Asian nations should undertake a proactive green investment policy to direct investment toward green projects rather than environmentally harmful ones. Further, appropriate policy and incentives must be pursued to enhance technological innovation to attain sustainable environmental and social development.

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Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.

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Funding

This study does not receive any external funding.

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Authors and Affiliations

Authors

Contributions

SH: Conceptualization, Investigation, Methodology, Writing-original draft. MMR: Conceptualization, Methodology, Data analysis, Writing–original draft. SCK: Conceptualization, Data analysis. KKS: Methodology, Data analysis. AJC: Conceptualization, Writing—review & editing. BBS: Methodology, Formal analysis, Supervision, Writing—review & editing.

Corresponding author

Correspondence to Bidyut Baran Saha.

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Appendix A

Appendix A

Country

Variable

Mean

Standard deviation

Minimum

Maximum

Summary statistics

Bangladesh

EF

0.62

0.14

0.46

0.92

FD

26.83

10.91

12.74

44.41

TI

244.88

94.48

93.00

368.00

GDP

785.16

292.39

484.05

1481.18

EC

167.63

49.46

109.64

276.52

UP

25.71

5.75

17.50

36.63

IND

23.69

3.13

19.60

31.98

LE

65.10

5.42

55.21

72.32

China

EF

2.39

0.86

1.36

3.80

FD

109.17

25.42

66.19

157.81

TI

312,782.59

451,631.80

8009.00

1,542,002.00

GDP

3556.96

2772.42

667.13

9619.19

EC

1308.90

606.98

657.76

2272.35

UP

39.22

11.39

22.87

59.15

IND

44.47

2.38

39.58

47.56

LE

72.11

2.66

68.47

76.70

Indonesia

EF

1.37

0.17

1.09

1.72

FD

33.33

12.85

18.16

60.82

TI

4155.88

2772.14

105.00

9754.00

GDP

2215.32

716.96

1208.25

3732.87

EC

709.80

153.96

398.99

900.43

UP

41.89

9.13

26.09

55.33

IND

42.19

3.77

33.79

48.06

LE

66.23

3.38

60.29

71.51

India

EF

0.90

0.15

0.70

1.21

FD

35.57

11.88

22.51

52.39

TI

20,459.77

17,400.80

3424.00

50,055.00

GDP

933.46

429.45

444.23

1914.01

EC

464.69

124.97

314.90

729.83

UP

28.58

2.87

24.35

34.03

IND

28.02

1.57

26.41

31.14

LE

62.95

4.25

55.80

69.42

Japan

EF

5.02

0.37

4.41

5.63

FD

176.78

18.93

146.18

217.76

TI

367,262.32

39,606.36

302,995.00

439,175.00

GDP

31,139.75

3350.21

22,898.99

36,117.23

EC

3688.30

329.38

3003.17

4083.83

UP

83.36

6.09

76.71

91.62

IND

30.77

2.57

26.56

34.55

LE

81.19

1.98

77.65

84.21

South Korea

EF

0.12

0.03

0.06

0.19

FD

91.40

38.93

43.89

141.95

TI

113,639.65

71,098.83

10,585.00

213,694.00

GDP

18,377.30

7761.08

5950.80

31,053.64

EC

3817.52

1333.50

1302.10

5579.91

UP

78.26

4.72

64.88

81.94

IND

34.72

1.22

32.51

37.15

LE

76.43

4.24

68.80

82.63

Philippines

EF

1.18

0.10

1.00

1.47

FD

30.11

10.31

13.06

49.40

TI

2724.74

837.37

854.00

4300.00

GDP

2120.99

546.93

1564.22

3500.93

EC

461.33

25.11

413.21

512.75

UP

45.87

1.00

42.24

46.99

IND

34.38

2.79

30.13

38.91

LE

68.54

1.79

64.66

71.10

Malaysia

EF

3.47

0.68

1.97

4.44

FD

113.25

20.60

69.41

158.51

TI

4879.32

2095.14

262.00

7727.00

GDP

6750.67

2212.95

3383.29

11,075.58

EC

2120.45

655.86

996.75

3003.45

UP

62.09

9.74

45.89

76.04

IND

42.11

3.27

37.68

48.53

LE

72.93

1.86

69.62

76.00

Singapore

EF

6.15

1.23

3.49

8.22

FD

97.55

15.58

76.35

128.13

TI

6895.62

3765.77

1007.00

12,581.00

GDP

37,509.49

13,074.49

17,149.63

61,373.65

EC

4784.52

1071.12

2472.97

7370.65

UP

99.17

0.59

98.12

100.00

IND

29.43

3.36

23.27

33.58

LE

78.65

3.00

73.89

83.30

Thailand

EF

1.93

0.43

1.01

2.58

FD

101.68

25.81

56.79

166.50

TI

4624.09

2416.73

694.00

8167.00

GDP

4020.60

1360.03

1695.40

6491.33

EC

1304.07

504.25

475.49

2072.35

UP

36.36

7.49

28.10

49.95

IND

36.81

1.83

31.84

39.92

LE

72.05

2.54

67.91

76.93

Vietnam

EF

1.19

0.50

0.68

2.27

FD

48.95

34.16

11.85

105.76

TI

1955.85

1851.24

9.00

6071.00

GDP

1452.12

747.45

585.82

3062.75

EC

441.75

163.79

260.79

669.70

UP

26.08

5.22

19.56

35.92

IND

32.26

5.03

22.12

40.24

LE

72.96

1.98

68.97

75.32

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Hosan, S., Rahman, M.M., Karmaker, S.C. et al. Transformation of ecological footprint through financial development and technological innovation. Clean Techn Environ Policy 25, 3363–3380 (2023). https://doi.org/10.1007/s10098-023-02590-4

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  • DOI: https://doi.org/10.1007/s10098-023-02590-4

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