
The digital economy is an important driving force for the high-quality development of the manufacturing industry. This paper uses 2013–2019 manufacturing panel data to empirically test the impact of digital economic growth on China's manufacturing export competitiveness. The results show that, first, the degree of integration of manufacturing and digital economy in the eastern region is higher than that in the central and western regions. Second, the development of the digital economy has indeed had a significant positive impact on the export competitiveness of China's manufacturing industry. Third, the digital economy has different impacts on the export competitiveness of manufacturing industries in different industries and regions. Based on the findings, some suggestions are made to further enhance the export competitiveness of China's manufacturing industry, such as paying attention to the development of digital infrastructure, optimizing the mode of integration of the manufacturing sector and the digital economy, and enhancing international collaboration in digital technology innovation.
Citation: Fei Wang, Benhai Guo, Zixing Wang, Yuxin Wu. The impact of digital economy on the export competitiveness of China's manufacturing industry[J]. Mathematical Biosciences and Engineering, 2023, 20(4): 7253-7272. doi: 10.3934/mbe.2023314
[1] | Rong Chen, Shihang Pan, Baoshuai Zhang . Global conservative solutions for a modified periodic coupled Camassa-Holm system. Electronic Research Archive, 2021, 29(1): 1691-1708. doi: 10.3934/era.2020087 |
[2] | Li Yang, Chunlai Mu, Shouming Zhou, Xinyu Tu . The global conservative solutions for the generalized camassa-holm equation. Electronic Research Archive, 2019, 27(0): 37-67. doi: 10.3934/era.2019009 |
[3] | Cheng He, Changzheng Qu . Global weak solutions for the two-component Novikov equation. Electronic Research Archive, 2020, 28(4): 1545-1562. doi: 10.3934/era.2020081 |
[4] | Xiaochen Mao, Weijie Ding, Xiangyu Zhou, Song Wang, Xingyong Li . Complexity in time-delay networks of multiple interacting neural groups. Electronic Research Archive, 2021, 29(5): 2973-2985. doi: 10.3934/era.2021022 |
[5] | Shuang Wang, Chunlian Liu . Multiplicity of periodic solutions for weakly coupled parametrized systems with singularities. Electronic Research Archive, 2023, 31(6): 3594-3608. doi: 10.3934/era.2023182 |
[6] | Linlin Tan, Bianru Cheng . Global well-posedness of 2D incompressible Navier–Stokes–Darcy flow in a type of generalized time-dependent porosity media. Electronic Research Archive, 2024, 32(10): 5649-5681. doi: 10.3934/era.2024262 |
[7] | Janarthanan Ramadoss, Asma Alharbi, Karthikeyan Rajagopal, Salah Boulaaras . A fractional-order discrete memristor neuron model: Nodal and network dynamics. Electronic Research Archive, 2022, 30(11): 3977-3992. doi: 10.3934/era.2022202 |
[8] | Liju Yu, Jingjun Zhang . Global solution to the complex short pulse equation. Electronic Research Archive, 2024, 32(8): 4809-4827. doi: 10.3934/era.2024220 |
[9] | Zhili Zhang, Aying Wan, Hongyan Lin . Spatiotemporal patterns and multiple bifurcations of a reaction- diffusion model for hair follicle spacing. Electronic Research Archive, 2023, 31(4): 1922-1947. doi: 10.3934/era.2023099 |
[10] | Shiyong Zhang, Qiongfen Zhang . Normalized solution for a kind of coupled Kirchhoff systems. Electronic Research Archive, 2025, 33(2): 600-612. doi: 10.3934/era.2025028 |
The digital economy is an important driving force for the high-quality development of the manufacturing industry. This paper uses 2013–2019 manufacturing panel data to empirically test the impact of digital economic growth on China's manufacturing export competitiveness. The results show that, first, the degree of integration of manufacturing and digital economy in the eastern region is higher than that in the central and western regions. Second, the development of the digital economy has indeed had a significant positive impact on the export competitiveness of China's manufacturing industry. Third, the digital economy has different impacts on the export competitiveness of manufacturing industries in different industries and regions. Based on the findings, some suggestions are made to further enhance the export competitiveness of China's manufacturing industry, such as paying attention to the development of digital infrastructure, optimizing the mode of integration of the manufacturing sector and the digital economy, and enhancing international collaboration in digital technology innovation.
Digital topology with interesting applications has been a popular topic in computer science and mathematics for several decades. Many researchers such as Rosenfeld [21,22], Kong [18,17], Kopperman [19], Boxer, Herman [14], Kovalevsky [20], Bertrand and Malgouyres would like to obtain some information about digital objects using topology and algebraic topology.
The first study in this area was done by Rosenfeld [21] at the end of 1970s. He introduced the concept of continuity of a function from a digital image to another digital image. Later Boxer [1] presents a continuous function, a retraction, and a homotopy from the digital viewpoint. Boxer et al. [7] calculate the simplicial homology groups of some special digital surfaces and compute their Euler characteristics.
Ege and Karaca [9] introduce the universal coefficient theorem and the Eilenberg-Steenrod axioms for digital simplicial homology groups. They also obtain some results on the Künneth formula and the Hurewicz theorem in digital images. Ege and Karaca [10] investigate the digital simplicial cohomology groups and especially define the cup product. For other significant studies, see [13,12,16].
Karaca and Cinar [15] construct the digital singular cohomology groups of the digital images equipped with Khalimsky topology. Then they examine the Eilenberg- Steenrod axioms, the universal coefficient theorem, and the Künneth formula for a cohomology theory. They also introduce a cup product and give general properties of this new operation. Cinar and Karaca [8] calculate the digital homology groups of various digital surfaces and give some results related to Euler characteristics for some digital connected surfaces.
This paper is organized as follows: First, some information about the digital topology is given in the section of preliminaries. In the next section, we define the smash product for digital images. Then, we show that this product has some properties such as associativity, distributivity, and commutativity. Finally, we investigate a suspension and a cone for any digital image and give some examples.
Let
and
A
[x,y]Z={a∈Z | x≤a≤y,x,y∈Z}, |
where
In a digital image
A function
Definition 2.1. [2]
Suppose that
F:X×[0,m]Z→Y |
with the following conditions, then
(ⅰ) For all
(ⅱ) For all
(ⅲ) For all
A digital image
A
g∘f≃(κ,κ)1X and f∘g≃(λ,λ)1Y |
where
For the cartesian product of two digital images
Definition 2.2. [3]
A
Theorem 2.3. [5] For a continuous surjection
The wedge of two digital images
Theorem 2.4. [5] Two continuous surjections
f:(A,α)→(C,γ) and g:(B,β)→(D,δ) |
are shy maps if and only if
Sphere-like digital images is defined as follows [4]:
Sn=[−1,1]n+1Z∖{0n+1}⊂Zn+1, |
where
S0={c0=(1,0),c1=(−1,0)}, |
S1={c0=(1,0),c1=(1,1),c2=(0,1),c3=(−1,1),c4=(−1,0),c5=(−1,−1), |
c6=(0,−1),c7=(1,−1)}. |
In this section, we define the digital smash product which has some important relations with a digital homotopy theory.
Definition 3.1. Let
Before giving some properties of the digital smash product, we prove some theorems which will be used later.
Theorem 3.2.
Let
∏a∈Afa≃(κn,λn)∏a∈Aga, |
where
Proof. Let
F:(∏a∈AXa)×[0,m]Z→∏a∈AYa |
defined by
F((xa),t)=(Fa(xa,t)) |
is a digital continuous function, where
Theorem 3.3. If each
Proof. Let
(∏a∈Aga)(∏a∈Afa)=∏a∈A(ga×fa)≃(λn,κn)∏a∈A(1Xa)=1∏a∈AXa, |
(∏a∈Afa)(∏a∈Aga)=∏a∈A(fa×ga)≃(κn,λn)∏a∈A(1Ya)=1∏a∈AYa. |
So we conclude that
Theorem 3.4.
Let
p×1:(X×Z,k∗(κ×σ))→(Y×Z,k∗(λ×σ)) |
is a
Proof. Since
(p×1Z)−1(y,z)=(p−1(y),1−1Z(z))=(p−1(y),z). |
Thus, for each
(p×1Z)−1({y0,y1},{z0,z1})=(p−1({y0,y1}),1−1Z({z0,z1}))=(p−1({y0,y1}),({z0,z1})). |
Hence for each
Theorem 3.5.
Let
Proof. Let
(p×1Z)−1({y0,y1},{z0,z1})=(p−1({y0,y1}),1−1Z({z0,z1}))=(p−1({y0,y1}),({z0,z1})). |
Since
We are ready to present some properties of the digital smash product. The following theorem gives a relation between the digital smash product and the digital homotopy.
Theorem 3.6. Given digital images
(h∧k)∘(f∧g)=(h∘f)∧(k∘g). |
f∧g≃(k∗(κ,λ),k∗(σ,α))f′∧g′. |
Proof. The digital function
(f×g)(X∨Y)⊂A×B. |
Hence
f≃(κ,σ)f′ and g≃(λ,α)g′. |
By Theorem 3.2, we have
f×g≃(k∗(κ,λ),k∗(σ,α))f′×g′. |
Theorem 3.7.
If
Proof. Let
f∘f′≃(λ,λ)1Y and f′∘f≃(κ,κ)1X. |
Moreover, let
g∘g′≃(α,α)1B and g′∘g≃(σ,σ)1A. |
By Theorem 3.6, there exist digital functions
f∧g:X∧A→Y∧B and f′∧g′:Y∧B→X∧A |
such that
(f∧g)∘(f′∧g′)=1Y∧B, |
(f∘f′)∧(g∘g′)=1Y∧B, |
and
(f′∧g′)∘(f∧g)=1X∧A, |
(f′∘f)∧(g′∘g)=1X∧A. |
So
The following theorem shows that the digital smash product is associative.
Theorem 3.8.
Let
Proof. Consider the following diagram:
(f′∘f)∧(g′∘g)=1X∧A. |
where
f:(X∧Y)∧Z→X∧(Y∧Z) and g:X∧(Y∧Z)→(X∧Y)∧Z. |
These functions are clearly injections. By Theorem 2.3,
The next theorem gives the distributivity property for the digital smash product.
Theorem 3.9.
Let
Proof. Suppose that
f:(X∧Y)∧Z→X∧(Y∧Z) and g:X∧(Y∧Z)→(X∧Y)∧Z. |
From Theorem 2.4,
f:(X∧Z)×(Y∧Z)→(X×Z)×(Y×Z). |
Obviously
Theorem 3.10.
Let
Proof. If we suppose that
f:(X∧Z)×(Y∧Z)→(X×Z)×(Y×Z). |
The switching map
Definition 3.11. The digital suspension of a digital image
Example 1. Choose a digital image
Theorem 3.12. Let
(X×[a,b]Z)/(X×{a}∪{x0}×[a,b]∪X×{b}), |
where the cardinality of
Proof. The function
[a,b]Zθ⟶S1 |
is a digital shy map defined by
X×[a,b]Z1×θ⟶X×S1p⟶X∧S1 |
is also a digital shy map, and its effect is to identify together points of
X×{a}∪{x0}×[a,b]Z∪X×{b}. |
The digital composite function
(X×[a,b]Z)/(X×{a}∪{x0}×[a,b]Z∪X×{b})→X∧S1=sX. |
Definition 3.13. The digital cone of a digital image
Example 2. Take a digital image
Theorem 3.14. For any digital image
Proof. Since
cX=X∧I≃(2,2)X∧{0} |
is obviously a single point.
Corollary 1. For
Proof. Since
For each
This paper introduces some notions such as the smash product, the suspension, and the cone for digital images. Since they are significant topics related to homotopy, homology, and cohomology groups in algebraic topology, we believe that the results in the paper can be useful for future studies in digital topology.
We would like to express our gratitude to the anonymous referees for their helpful suggestions and corrections.
[1] |
G. J. Stigler, The economics of information, J. Polit. Econ., 69 (1961), 213–225. https://doi.org/10.1086/258464 doi: 10.1086/258464
![]() |
[2] |
B. Kim, A. Barua, A. B. Whinston, Virtual field experiments for a digital economy: a new research methodology for exploring an information economy, Decis. Support Syst., 32 (2002), 215–231. https://doi.org/10.1016/S0167-9236(01)00094-X doi: 10.1016/S0167-9236(01)00094-X
![]() |
[3] | N. Ahmad, J. Ribarsky, Towards a Framework for Measuring the Digital Economy, Paper prepared for the 16th Conference of IAOS, 2018. Available from: https://www.oecd.org/iaos2018/programme/IAOS-OECD2018_Ahmad-Ribarsky.pdf. |
[4] | K. Barefoot, D. Curtis, W. A. Jolliff, J. R. Nicholson, R. Omohundro, Defining and Measuring the Digital Economy, Report of Bureau of Economic Analysis (BEA), 2018. Available from: https://www.bea.gov/research/papers/2018/defining-and-measuring-digital-economy. |
[5] | P. F. Zhao, Measuring Digital Activities in the Australian Economy, Report of Australian Bureau of Statistics (ABS), 2019. Available from: https://www.abs.gov.au/statistics/research/measuring-digital-activities-australian-economy#articles. |
[6] | Z. S. Yang, M. H. Zhang, A digital economy satellite account: International experiences and a conceptual design of China's compilation program, Stat. Res., 36 (2019), 16–30. |
[7] | OECD, Measuring the Digital Economy: A New Perspective, Paris: OECD Publishing, 2014. Available from: https://www.oecd.org/sti/ieconomy/measuring-the-digital-economy-japan-highlights-english.pdf. |
[8] | European Commission, Digital Economy and Society Index Methodological Note, 2014. Available from: https://ictlogy.net/bibliography/reports/projects.php?idp=2790. |
[9] |
B. Bygstad, E. Øvrelid, S. Ludvigsen, M. Dæhlen, From dual digitalization to digital learning space: Exploring the digital transformation of higher education, Comput. Educ., 182 (2022), 104463. https://doi.org/10.1016/j.compedu.2022.104463 doi: 10.1016/j.compedu.2022.104463
![]() |
[10] |
E. Ostmeier, M. Strobel, Building skills in the context of digital transformation: How industry digital maturity drives proactive skill development, J. Bus. Res., 139 (2022), 718–730. https://doi.org/10.1016/j.jbusres.2021.09.020 doi: 10.1016/j.jbusres.2021.09.020
![]() |
[11] |
H. Su, W. Qi, Y. Schmirander, S. E. Ovur, S. Cai, X. M. Xiong, A human activity-aware shared control solution for medical human–robot interaction, Assembly Autom., 42 (2022), 388–394. https://doi.org/10.1108/AA-12-2021-0174 doi: 10.1108/AA-12-2021-0174
![]() |
[12] |
A. Young, Learning by doing and the dynamic effects of international trade, Q. J. Econ., 2 (1991), 369–405. https://doi.org/10.2307/2937942 doi: 10.2307/2937942
![]() |
[13] |
P. Krugman, A model of innovation, technology transfer, and the world distribution of income, J. Polit. Econ., 2 (1979), 253–266. https://doi.org/10.1086/260755 doi: 10.1086/260755
![]() |
[14] |
R. Narula, K. Wakelin, Technological competitiveness, trade, and foreign direct investment, Struct. Change Econ. Dyn., 9 (1998), 373–387. https://doi.org/10.1016/S0954-349X(98)00034-4 doi: 10.1016/S0954-349X(98)00034-4
![]() |
[15] |
Y. F. Chen, S. K. Peng, T. S. Tsai, The market structures in trade intermediation with heterogeneous manufacturing firms, Int. Rev. Econ. Finance, 75 (2021), 501–523. https://doi.org/10.1016/j.iref.2021.04.013 doi: 10.1016/j.iref.2021.04.013
![]() |
[16] |
K. Hayakawa, H. Mukunoki, C. H. Yang, Liberalization for services FDI and export quality: Evidence from China, J. Jpn. Int. Econ., 55 (2020), 101060. https://doi.org/10.1016/j.jjie.2019.101060 doi: 10.1016/j.jjie.2019.101060
![]() |
[17] |
L. Wu, L. Hitt, B. Lou, Data Analytics, Innovation, and Firm Productivity, Manage. Sci., 66 (2020), 1783–2290. https://doi.org/10.1287/mnsc.2018.3281 doi: 10.1287/mnsc.2018.3281
![]() |
[18] |
B. A. Larson, E. Nicolaides, B. A. Zu'bi, N. Sukkar, K. Laraki, M. S. Matoussi, et al., The impact of environmental regulations on exports: case study results from Cyprus, Jordan, Morocco, Syria, Tunisia, and Turkey, World Dev., 30 (2002), 1057–1072. https://doi.org/10.1016/S0305-750X(02)00023-2 doi: 10.1016/S0305-750X(02)00023-2
![]() |
[19] | F. B. Hunegnaw, Real exchange rate and manufacturing export competitiveness in Eastern Africa, J. Econ. Integr., 32 (2017), 891–912. |
[20] |
T. H. Li, J. Y. Wen, D. W. Zeng, K. Liu, Has enterprise digital transformation improved the efficiency of enterprise technological innovation? A case study on Chinese listed companies, Math. Biosci. Eng., 19 (2022), 12632–12654. https://doi.org/10.3934/mbe.2022590 doi: 10.3934/mbe.2022590
![]() |
[21] |
A. Caputo, G. Marzi, M. M. Pellegrini, The Internet of Things in manufacturing innovation processes, Bus. Process Manage. J., 22 (2016), 383–402. https://doi.org/10.1108/BPMJ-05-2015-0072 doi: 10.1108/BPMJ-05-2015-0072
![]() |
[22] |
M. D. Giudice, Discovering the Internet of Things (IoT) within the business process management, Bus. Process Manage. J., 22 (2016), 263–270. https://doi.org/10.1108/BPMJ-12-2015-0173 doi: 10.1108/BPMJ-12-2015-0173
![]() |
[23] |
Y. Wang, J. Li, ICT's effect on trade: Perspective of comparative advantage, Econ. Lett., 155 (2017), 96–99. https://doi.org/10.1016/j.econlet.2017.03.022 doi: 10.1016/j.econlet.2017.03.022
![]() |
[24] |
K. Banga, Digital technologies and product upgrading in global value chains: Empirical evidence from Indian manufacturing firms, Eur. J. Dev. Res., 34 (2022), 77–102. https://doi.org/10.1057/s41287-020-00357-x doi: 10.1057/s41287-020-00357-x
![]() |
[25] |
B. S. Atasoy, The determinants of export sophistication: Does digitalization matter, Int. J. Finance Econ., 26 (2021), 5135–5159. https://doi.org/10.1002/ijfe.2058 doi: 10.1002/ijfe.2058
![]() |
[26] |
S. Gopalan, K. Reddy, S. Sasidharan, Does digitalization spur global value chain participation? Firm-level evidence from emerging markets, Inf. Econ. Policy, 59 (2022), 100972. https://doi.org/10.1016/j.infoecopol.2022.100972 doi: 10.1016/j.infoecopol.2022.100972
![]() |
[27] |
R. Hausmann, J. Hwang, D. Rodrik, What you export matters, J. Econ. Growth, 12 (2007), 1–25. https://doi.org/10.1007/s10887-006-9009-4 doi: 10.1007/s10887-006-9009-4
![]() |
[28] |
W. R. Pan, T. Xie, Z. W. Wang, L. S. Ma, Digital economy: An innovation driver for total factor productivity, J. Bus. Res., 139 (2022), 303–311. https://doi.org/10.1016/j.jbusres.2021.09.061 doi: 10.1016/j.jbusres.2021.09.061
![]() |
[29] |
A. V. Singh, R. S. Maharjan, H. Jungnickel, H. Romanowski, Y. U. Hachenberger, P. Reichardt, et al., Evaluating particle emissions and toxicity of 3D pen printed filaments with metal nanoparticles as additives: in vitro and in silico discriminant function analysis, ACS Sustainable Chem. Eng., 9 (2021), 11724–11737. https://doi.org/10.1021/acssuschemeng.1c02589 doi: 10.1021/acssuschemeng.1c02589
![]() |
[30] |
A. V. Singh, D. Rosenkranz, M. H. D. Ansari, R. Singh, A. Kanase, S. P. Singh, et al., Artificial intelligence and machine learning empower advanced biomedical material design to toxicity prediction, Adv. Intell. Syst., 2 (2020), 2070125. https://doi.org/10.1002/aisy.202070125 doi: 10.1002/aisy.202070125
![]() |
1. | Byungsoo Moon, Orbital stability of periodic peakons for the generalized modified Camassa-Holm equation, 2021, 14, 1937-1632, 4409, 10.3934/dcdss.2021123 |