Green Efficiency Measurement of Seaweed Culture in China under the Double Carbon Target
Abstract
:1. Introduction
2. Research Status at Home and Abroad
2.1. Study on Seaweed Culture and Carbon Sequestration Function
2.2. Study on Green Efficiency of Seaweed Culture
2.3. Study on the Influencing Factors of Green Efficiency of Seaweed Culture
2.4. Literature Review
3. Research Methods and Data
3.1. Influence Mechanism of Seaweed Culture on Green Efficiency
- (1)
- Inverted U effect of input scale
- (2)
- Structural effect
- (3)
- Technological progress effect
- (4)
- Regulation effect
- (5)
- Organizational management effect
3.2. The Definition of the Model
3.3. Input–Output Indicator Selection
- (1)
- Aggregate carbon from seaweed farming
- (2)
- Carbon emissions from seaweed farming
4. Results
4.1. Calculation Results and Analysis of Green Development Efficiency of Seaweed Farming in China
4.1.1. From the National Point of View
4.1.2. From a Regional Point of View
- (1)
- The average green development efficiency of seaweed aquaculture in Hainan Province and Liaoning Province is between 0.7 and 0.8, and the input–output structure is in a relatively coordinated state, which can better grasp the balance between expected output and non-expected output and control carbon emissions while improving economic output value and carbon sequestration. Among them, the green development efficiency of seaweed farming in Hainan Province maintained a small growth rate of medium level from 2008 to 2012, a sudden decrease in 2013, and a high efficiency value in 2014, and a small fluctuation of a high level from 2015 to 2020. The green development efficiency value of seaweed farming in Liaoning Province continued to increase in 2008–2014, began to decrease in 2014–2018 and began to recover from 2018 to 2020.
- (2)
- The average green development efficiency of seaweed aquaculture in Guangdong, Shandong and Fujian Provinces was between 0.5 and 0.7, and the input–output structure of seaweed aquaculture was relatively not optimized enough, and the balance between expected output and non-expected output could not be well controlled. From 2008 to 2020, the green development efficiency of seaweed in Guangdong Province and Fujian Province maintained a stable growth trend, and the average efficiency value of Fujian Province was slightly lower than that of Guangdong Province. The efficiency value of seaweed green development in Shandong Province increased significantly in 2014 and 2015, and the efficiency time distribution in other years was similar to that in Fujian Province. On the whole, although the average green development efficiency of the three provinces is at the lower middle level, they all maintain an upward trend, and the green development efficiency value has increased greatly from 2008 to 2020.
- (3)
- The average green development efficiency of seaweed aquaculture in Zhejiang Province and Jiangsu Province was between 0.1 and 0.3, indicating that the overall level of green development of the seaweed aquaculture industry was very low. The input–output structure of seaweed aquaculture was very unreasonable, and excessive attention was paid to the economic benefits of seaweed farming in the process of seaweed farming. From 2008 to 2020, the green development efficiency values of seaweed farming in Zhejiang Province and Jiangsu Province remained slightly fluctuating at a low level, and the average efficiency value of Zhejiang Province was slightly higher than that of Jiangsu Province, but on the whole, the efficiency time distribution of the two provinces still showed a weak upward trend, and the green development efficiency value of seaweed in Jiangsu Province increased greatly in 2020.
4.2. Analysis of the Causes of Loss of Efficiency in Green Development of Seaweed Farming
- (1)
- From a national point of view
- (2)
- From the regional point of view
5. Conclusions and Suggestions
5.1. Conclusions
- (1)
- From 2008 to 2020, the time distribution of net carbon sinks and green efficiency of seaweed culture in China is similar, and the overall level shows an increasing trend: both of them increase slightly from 2008 to peak in 2014 and then begin to decline, but after 2016, the efficiency value shows an obvious upper-body trend. The net carbon sinks fluctuate greatly between 40 and 81 tons, and the green efficiency fluctuates between 0.26 and 1.03. The main factors causing efficiency loss are capital investment (number of fishing boats, breeding labor and breeding area), technical input (training intensity of fishermen) and ecological pollution (carbon emission). In the expected output factors, the total carbon sinks have little influence on the efficiency value, and the total output value has no influence on the efficiency value. Lack of optimization of seaweed culture structure, lack of innovation of seaweed culture technology and an imperfect carbon sink trading system are still the main reasons that restrict the green transformation of mariculture industry in China.
- (2)
- Influenced by index factors and non-index factors, such as marine resources, economy and planning, the level of algae culture and green efficiency in the three major sea areas in China is different: from 2008 to 2020, the order of algae culture green efficiency in the three major sea areas in China is South China Sea > Yellow Sea and Bohai Sea > East China Sea > South China Sea. The main reasons for the loss of green efficiency in the Yellow Sea and Bohai Sea are capital investment (number of fishing boats, breeding area and breeding labor), technical investment (training intensity of fishermen) and ecological pollution (carbon emission), and redundant seaweed breeding ecological benefits and economic benefits are in a relatively coordinated state. The main reasons for the loss of green efficiency in the East China Sea are excessive capital investment (number of fishing boats, breeding labor and breeding area), technical investment (training intensity of fishermen), ecological pollution (carbon emission) and insufficient total carbon sinks. The ecological benefits and economic benefits of seaweed culture are in an uncoordinated state. The main reasons for the loss of green efficiency in the South China Sea are excessive capital investment (the number of aquaculture labor, the number of fishing boats and the area of aquaculture), excessive technical investment (the intensity of fishermen’s training) and redundant ecological pollution (carbon emissions). The ecological benefits and economic benefits of seaweed culture are relatively coordinated.
- (3)
- Influencing factors of green efficiency of seaweed culture are different in each study area: the net carbon sink and green efficiency of seawater shellfish culture in seven provinces of China are quite different. According to the average value of net carbon sink, Fujian, Shandong, Liaoning, Guangdong and Hainan are positive, and the average value of Zhejiang and Jiangsu is negative. According to the green efficiency, Hainan, Liaoning, Guangdong, Shandong, Fujian, Zhejiang and Jiangsu, and in turn Shandong and Fujian, are provinces with high carbon sequestration and high emission, which can contribute to higher net carbon sinks. Fujian Province has a higher output value per unit area, and the ecological and economic benefits of seaweed culture are in a general equilibrium state. Liaoning is a province with high carbon sequestration and low emission, which can contribute higher net carbon sink and higher yield per unit area. The ecological and economic benefits of seaweed culture are in a relatively coordinated state. Jiangsu Province is a province with low carbon sequestration and high emission, and the ecological and economic benefits of seaweed culture are extremely uncoordinated. Guangdong, Hainan and Zhejiang are provinces with similar carbon sequestration and carbon emission, both of which have high output value per unit area and low net carbon sink contribution, but the ecological and economic benefits of seaweed culture in Guangdong and Hainan are in a relatively coordinated state, and the coordination between ecological and economic benefits in Zhejiang Province is the lowest.
- (4)
- The empirical results show that the improvement of green efficiency can promote the greening of the seaweed culture industry in China. The research and popularization of seaweed culture structure, culture technology and regulatory policies are the key factors affecting the green efficiency of seaweed culture. The input–output scale effect plays a decisive role in the green efficiency of seaweed development. The effect of structure and technological progress are effective on a certain scale, whereas the incentive effect and organization management effect are obviously insufficient.
5.2. Suggestions
5.2.1. Optimizing Seaweed Culture Structure and Constructing Fishery Carbon Sink Ecology
5.2.2. Innovating Seaweed Culture Technology to Promote High Industry
5.2.3. Improve Carbon Sink Trading Policy and Promote the Operation of the Carbon Trading Market
5.2.4. Strengthen the Training of Carbon Sink Talents and Improve the Construction of the Discipline System
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Jiao, N.Z. Research and development of marine “negative emissions” technology to support the national demand for “carbon neutrality”. Bull. Chin. Acad. Sci. 2021, 36, 179–187. [Google Scholar]
- Zhang, Y.; Zhao, M.X. Carbon sink process, regulatory mechanism and sink enhancement model of offshore ecosystems. Sci. China Earth Sci. 2017, 47, 4. [Google Scholar]
- Tang, Q.S. Carbon sink of fishery and developing modern fishery fast and well. Jiangxi Aquat. Sci. Technol. 2011, 2011, 5–7. [Google Scholar]
- Dai, G.Q.; Liu, Y.D. Analysis of the contribution of algae in helping to achieve the goal of “dual carbon”. China Fish. 2022, 2, 68–70. [Google Scholar]
- Fisheries and Fisheries Administration Bureau of the Ministry of Agriculture and Rural Affairs; National Fisheries Technology Extension Station, Chinese Fisheries Society. China Fishery Yearbook; China Agriculture Press: Beijing, China, 2021. [Google Scholar]
- UNEP; FAO; IOC/UNESCO. Blue Carbon: The Role of Healthy Oceans in Binding Carbon [EB/OL]. Available online: https://www.grida.no/publications/145 (accessed on 22 May 2022).
- Wang, X.J.; Zhang, H.B.; Han, G.X. Carbon cycle and blue carbon potential in China’s coastal zone and offshore. Proc. Chin. Acad. Sci. 2016, 31, 1218–1225. [Google Scholar]
- Qiu, G.L.; Lin, X.Z.; Li, Z.S.; Fan, H.Q.; Zhou, H.L.; Liu, G.H. Carbon sequestration mechanism and contribution of seaweed ecosystem. J. Appl. Ecol. 2014, 25, 1825–1832. [Google Scholar]
- Gao, K.S.; McKinley, K.R. Use of macroalgae for marine biomass production and CO2 remediation: A review. J. Appl. Phycol. 1994, 6, 45–60. [Google Scholar] [CrossRef]
- Orr, J.C.; Sarmiento, J.L. Potential of marine macroalgae as a sink for CO2: Constraints from a 3-D general circulation model of the global ocean. Water Air Soil Pollut. 1992, 64, 405–421. [Google Scholar] [CrossRef]
- Johnston, A.M.; Maberly, S.; Raven, J.A. The acquisition of inorganic carbon by four red macroalgae from different habitats. Oecologia 1992, 92, 317–326. [Google Scholar] [CrossRef]
- Duarte, C.M.; Middelburg, J.J.; Caraco, N. Major role of marine vegetation on the oceanic carbon cycle. Biogeosciences 2005, 2, 1–8. [Google Scholar] [CrossRef]
- Beer, S.; Israel, A. Photosynthesis of Ulva fasciata. IV. pH, carbonic anhydrase and inorganic carbon conversions in the unstirred layer. Plant Cell Environ. 1990, 1990, 555–560. [Google Scholar] [CrossRef]
- Hu, A.G.; Zhou, S.J. Green: Function Definition Mechanism and Strategy. China Popul. Resour. 2014, 2014, 14–20. [Google Scholar]
- Li, J.; Li, M.D.; Gong, P.H.; Guang, C.S. Research progress on carbon sink of marine pasture fishery. Adv. Fish. Sci. 2022, 43, 142–150. [Google Scholar]
- Cao, Y.M.; Wu, Q. Research on the mechanism of China’s marine carbon sink trading under the goal of “double carbon”. China Manag. 2022, 14, 44–51. [Google Scholar]
- Salvanes, A.G.V. Ocean Ranching. In Encyclopedia of Ocean Sciences; Elsevier Pte Ltd.: Singapore, 2016; pp. 146–155. [Google Scholar]
- Seaman, W.; Lindberg, W.J. Artificial Reefs. In Encyclopedia of Ocean Sciences; Elsevier Pte Ltd.: Singapore, 2016; pp. 226–233. [Google Scholar]
- Vassdal, T.; Holst, H.M.S. Technical Progress and Regress in Norwegian Salmon Farming: A Malmquist Index Approach. Mar. Resour. Econom. 2011, 26, 329–341. [Google Scholar] [CrossRef]
- Ji, J.; Wang, P. Research on China’s Aquaculture Efficiency Evaluation and Influencing Factors with Undesirable Outputs. J. Ocean Univ. China 2015, 14, 569–574. [Google Scholar] [CrossRef]
- Wang, P.; Ji, J. Research on China’s Mariculture Efficiency Evaluation and Influencing Factors with Undesirable Outputs—An Empirical Analysis of China’s Ten Coastal Regions. Aquac. Int. 2017, 25, 1521–1530. [Google Scholar] [CrossRef]
- Martinezcordero, F.J.; Leung, P. Sustainable Aquaculture and Producer Performance: Measurement of Environmentally Adjusted Productivity and Efficiency of a Sample of Shrimp Farms in Mexico. Aquaculture 2004, 241, 249–268. [Google Scholar] [CrossRef]
- Qian, Z.M.; Liu, X.C. Research on Regional Differences and Convergence of Green Economic Efficiency in China. J. Xiamen Univ. (Philos. Soc. Sci. Ed.) 2014, 1, 110–118. [Google Scholar]
- Ji, J.Y.; Zeng, Q. Temporal and spatial evolution analysis of green technology efficiency in China’s marine aquaculture industry based on global DEA. China Manag. Sci. 2016, 24, S1. [Google Scholar]
- Qin, H.; Zhang, Y.; Lu, Y.Y. Measurement of eco-economic efficiency of marine aquaculture in China based on SBM model. Agrotech. Econ. 2018, 9, 2018. [Google Scholar]
- Xu, J.J.; Qin, T.T. An empirical analysis of marine aquaculture production efficiency in Guangdong Province based on Malmquist index. Mar. Dev. Manag. 2018, 35, 98–103. [Google Scholar]
- Shao, G.L.; Kong, H.Z.; Li, C. Net carbon sink of marine aquaculture in China and its coupling relationship with economy. Resour. Sci. 2019, 2, 2019. [Google Scholar]
- Zhang, X.X.; Zheng, S.; Yu, L.H. Green efficiency measurement of marine carbon sink fisheries in China and its spatial spillover effects. China R. Econ. 2020, 10, 2020. [Google Scholar]
- Ban, L.; Yuan, X.L. Differences in green economic efficiency and spatial impact mechanism in eight major regions of China. J. Xi’an Jiaotong Univ. 2016, 36, 22–30. [Google Scholar]
- Sun, K.; Cui, Q.Q.; Su, Z.X. Temporal and spatial evolution and influencing factors of economic value of carbon sinks in mariculture in China. Geogr. Res. 2020, 39, 2508–2520. [Google Scholar]
- Xu, J.J.; Zhang, J.; She, C.H. Evaluation of green economy spillover effect of marine carbon sink fishery. China Popul. Resour. 2020, 30, 136–145. [Google Scholar]
- Yang, L.; Hao, X.Y.; Shen, C.L.; An, D. Assessment of carbon sink capacity and potential of China’s marine fisheries under the goal of carbon neutrality. Resour. Sci. 2022, 44, 716–729. [Google Scholar]
- Zhao, G.D. Measuring China’s Regional Green Efficiency-Also on the New Path of Green Efficiency Evaluation. J. Tangshan Univ. 2017, 4, 100–108. [Google Scholar]
- Xu, C.L. Industrial green level and influencing factors in underdeveloped areas-A case study of Linyi City, Shandong Province. Econ. Forum 2017, 8, 45–50. [Google Scholar]
- Xu, H.; Liu, H.; Zhang, J.H.; Ni, Q.; Shen, J.; Jiang, L. Estimation of fishery energy consumption in China. China Fisher. 2007, 11, 74–76. [Google Scholar]
- Elizabeth, S.; Rosenzweig, F.; Xu, B.; Cuellar, K.L.; Martinez-Sanchez, A.; Schaffer, M.; Strauss, M.; Cartwright, H.N.; Ronceray, P.; Plitzko, J.M.; et al. The Eukaryotic CO2-Concentrating Organelle is Liquid-like and Exhibits Dynamic Reorganization. Cell 2017, 171, 148–162. [Google Scholar]
- William, P.; Hobbie, F. The microbial loop: In a sea of microbes. Oceanography 2007, 20, 28–33. [Google Scholar]
- Ren, L.H.; Zhang, J.H.; Niu, Y.L.; Zhang, Y.T.; Li, J.Q.; Zhang, M.L. Stable isotope evidence for the sediment impacts on bio deposits from long-line cultured Crassostrea gigas in Sango Bay. Mar. Sci. 2015, 39, 79–85. [Google Scholar]
- Yue, D.D.; Wang, L.M. Marine shellfish culture in Yangtze River Delta based on direct carbon sink accounting. Shandong Agric. Sci. 2012, 44, 133–136. [Google Scholar]
- Guo, B. Study on Assessment of Carbon sequestration potential of marine shellfish culture in China. Mod. Agric. Sci. Technol. 2015, 19, 226–228. [Google Scholar]
- Zhou, Y.; Yang, H.S.; Liu, S.L.; He, Y.C. Chemical composition and net organic production of cultivated and fouling organisms in Forty Mile Bay and their ecological effects. J. Fish. China 2002, 26, 21–27. [Google Scholar]
- Ji, J.Y.; Wang, P.P. Research on China’s mariculture carbon sink capacity and influencing factors. Mar. Environ. Sci. 2015, 34, 871–878. [Google Scholar]
Tier 1 Indicators | Tier 2 Indicators | Tier 3 Indicators | Variable Description | Unit |
---|---|---|---|---|
Input indicators | Land | Farming area | Seaweed farming area | hectares/year |
Labor | Workforce | Number of seaweed farming professionals | person/year | |
Capital | Number of aquaculture fishing vessels | Year-end ownership of seaweed farming fishing vessels | kW/year | |
Technology | Training intensity | Number of seaweed aquaculture fishermen participating in technical training = (number of fishermen trained by region × number of professional practitioners in seawater development/number of professional practitioners in fishery aquaculture) | person/year | |
Expected output indicators | Economic | Output | Aquaculture output value of seaweed varieties | CNY million/year |
Ecological | Aggregate carbon amount | Seaweed farming carbon sinks can be removed | tons/year | |
Undesired output indicators | Ecological pollution | Carbon emissions | The sum of diesel and electricity emissions from seaweed farming | tons/year |
Algae | Algae Carbon Sequestration Coefficient (Dry Weight) |
---|---|
Kelp | 31.20% |
Wakame | 26.40% |
Nori | 27.39% |
Gracilaria | 20.60% |
Agar | 30.7% |
Other algae | 27.76% |
Energy Category | Carbon Emission Factor | CO2 Emission Factor |
---|---|---|
diesel fuel | 0.717 kg C/kg | 2.63 kg CO2/kg |
electricity | 0.272 kg C/degree | 0.997 kg CO2/degree |
Carbon Emission Category | Consumption Conversion Factor |
---|---|
Fishing boat diesel | 0.225 tons/kW |
Electricity for pond farming | 0.37 degrees/kg |
Factory breeding electricity | 8.66 degrees/kg |
Province | Hainan | Liaoning | Guangdong | Shandong | Fujian | Zhejiang | Jiangsu | |
---|---|---|---|---|---|---|---|---|
S Mean | 0.78 | 0.77 | 0.64 | 0.61 | 0.56 | 0.26 | 0.14 | 0.78 |
Ranking | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 1 |
Province | Invest Redundancy Rate | Output Redundancy Rate | |||||
---|---|---|---|---|---|---|---|
Area | Workforce | Fishing Vessel | Training Intensity | Carbon Emissions | Output | Aggregate Carbon Amount | |
Liaoning | 26.40 | 25.52 | 29.05 | 58.74 | 8.29 | 0.60 | 0.00 |
Shandong | 27.91 | 16.72 | 49.88 | 72.00 | 36.33 | 0.00 | 0.00 |
Jiangsu | 0.64 | 14.88 | 35.86 | 80.82 | 11.01 | 0.00 | 39.04 |
Zhejiang | 30.93 | 47.18 | 69.26 | 81.69 | 35.44 | 0.00 | 1.52 |
Fujian | 16.12 | 54.91 | 75.26 | 54.27 | 17.06 | 0.00 | 0.02 |
Guangdong | 38.02 | 49.25 | 42.65 | 72.77 | 16.22 | 0.00 | 0.00 |
Hainan | 13.25 | 53.63 | 16.81 | 83.48 | 1.61 | 0.00 | 0.51 |
Nationwide | 21.89 | 37.44 | 45.54 | 71.97 | 17.99 | 0.09 | 5.87 |
Province | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Mean |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Liaoning | 1.19 | 1.18 | 1.29 | 1.58 | 1.67 | 1.63 | 1.86 | 1.84 | 1.67 | 1.70 | 1.77 | 2.47 | 2.38 | 1.71 |
Shandong | 0.94 | 0.92 | 0.90 | 0.74 | 0.88 | 1.02 | 3.10 | 2.98 | 2.79 | 2.32 | 2.16 | 2.04 | 2.04 | 1.76 |
Jiangsu | −0.32 | −0.96 | −1.07 | −1.01 | −1.09 | −1.30 | −1.47 | −1.57 | −1.65 | −1.77 | −1.64 | −1.75 | −1.78 | −1.34 |
Zhejiang | 0.11 | 0.09 | 0.03 | 0.05 | 0.05 | 0.00 | −0.10 | −0.13 | −0.24 | −0.45 | −0.47 | −0.24 | −0.24 | −0.12 |
Fujian | 1.79 | 1.63 | 1.41 | 1.67 | 2.03 | 2.06 | 2.08 | 2.06 | 2.23 | 2.01 | 2.32 | 2.51 | 1.95 | 1.98 |
Guangdong | 0.13 | 0.16 | 0.16 | 0.19 | 0.27 | 0.26 | 0.22 | 0.22 | 0.23 | 0.23 | 0.18 | 0.15 | 0.15 | 0.20 |
Hainan | 0.09 | 0.08 | 0.08 | 0.06 | 0.06 | −0.13 | 0.00 | 0.00 | −0.01 | 0.06 | −0.03 | −0.05 | 0.01 | 0.02 |
Nationwide | 0.56 | 0.44 | 0.40 | 0.47 | 0.55 | 0.51 | 0.81 | 0.77 | 0.72 | 0.59 | 0.61 | 0.73 | 0.64 | 0.60 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Le, J.; Wei, Y. Green Efficiency Measurement of Seaweed Culture in China under the Double Carbon Target. Sustainability 2023, 15, 7683. https://doi.org/10.3390/su15097683
Le J, Wei Y. Green Efficiency Measurement of Seaweed Culture in China under the Double Carbon Target. Sustainability. 2023; 15(9):7683. https://doi.org/10.3390/su15097683
Chicago/Turabian StyleLe, Jiahua, and Ying Wei. 2023. "Green Efficiency Measurement of Seaweed Culture in China under the Double Carbon Target" Sustainability 15, no. 9: 7683. https://doi.org/10.3390/su15097683
APA StyleLe, J., & Wei, Y. (2023). Green Efficiency Measurement of Seaweed Culture in China under the Double Carbon Target. Sustainability, 15(9), 7683. https://doi.org/10.3390/su15097683