Constructing a Model of Government Purchasing of Ecological Services: Evidence from China’s Northeast Tiger and Leopard National Park
Abstract
:1. Introduction
2. Materials and Methods
2.1. Research Background
2.2. Study Area
2.3. Theoretical Analysis Framework
- Institutional environment.
- Why purchase?
- How purchase?
- How much?
- Purchase and review chain
2.4. Data and Methods
2.4.1. Research and Data
2.4.2. Research Methods
2.4.3. Sample Description
3. Results
3.1. Institutional Environment Analysis
3.2. Driving Factor Analysis
3.3. Responsibility System Construction
3.4. Purchase Price Strategy
3.5. The Whole Process Evaluation Chain
3.6. Purchase Costs Analysis
4. Discussion
4.1. Links between Ecosystem Services and Ecological Services
4.2. A Policy Tool That Takes into Account Efficiency and Fairness and Can Clarify the Rights and Responsibilities of Stakeholders
4.3. Enterprises, NGOs, Community Residents and Indigenous People Are the Main Undertakers of Ecological Services in National Parks
5. Conclusions and Policy Implication
5.1. Conclusions
5.2. Policy Implications
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
1 | A survey found that in 2019, the per capita wage income of sample workers engaged in ecological services in the NTLNP was CNY 33,496.35. In the same year, the average wage income of the urban employed population in Jilin, Heilongjiang, and the entire country was CNY 36,307.87, 41,597.86, and 49,020.14, respectively. According to the “China Forest and Grassland Statistical Yearbook 2020”, the average annual salary of workers in the China’s forest and grassland system in 2019 was CNY 67,782. |
2 | In 1949, the early days of the founding of New China, in order to meet the demand for wood in national economic construction, the government of China invested in the establishment of state-owned forest areas and a number of state-owned forest farms. In the nine provinces and regions with rich forest resources in the northeast, southwest, and northwest, 138 SFEs have been established, which specialize in timber harvesting. Among them, 87 SOFEs in Heilongjiang, Jilin, and Inner Mongolia constitute the key state-owned forest areas. State-owned forest farms are public institutions dedicated to afforestation and forest management and protection set up in concentrated state-owned barren mountains and wasteland suitable for forest. There are 4855 state-owned forest farms in 31 provinces. |
3 | From 2000 to 2020, China implemented two phases of Natural Forest Protection Projects, from cutting down logging tasks to complete logging bans. The increase of surplus personnel in forest enterprises and the heavier burden of enterprises have led to the layoff of some forest workers, the state issues a one-time resettlement fee for these groups. A small number of one-time resettlement personnel will also participate in the forest operations of SFEs during the afforestation and tending season, and their wages are calculated according to the piece-rate system. |
4 | The statistical yearbook does not include the average wage level of the urban employed population in Jilin, Heilongjiang, and the whole country. Therefore, this information is obtained indirectly through the calculation of (urban per capita disposable wage income × total urban population)/urban employment. |
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National Park | Geographical Location and Area | Land Tenure | Land Use Type | Ecological Service Supply Method |
---|---|---|---|---|
Siberian Tiger and Leopard National Park | 42°31′06″N~44°14′49″N 129°5′0″E—131°18′48″E Total area 14,926 km2 | State-owned 13,644 km2 (91.41%) Collective 1282 km2 (8.59%) | Woodland 1431 km2 (95.92%) Arable land 545 km2 (3.65%) | The national park administration established ecological public welfare posts; SOFE workers, farmers, poor households, etc. undertake ecological services. |
Giant Panda National Park | 28°51′03″N~34°10′07″N 102°11′10″E~108°30′52″E Total area 27,134 km2 | State-owned 19,378 km2 (71.41%) Collective 7,756 km2 (28.59%) | Woodland 23,231 km2 (85.61%) Arable land 1809 km2 (6.67%) | The national park administration jointly handled by NGOs, local communities, public welfare foundations, SOFEs, and other stakeholders to provide ecological services [24]. |
Wuyishan National Park | 27°31′20″N~27°55′49″N 117°24′13″E~117°59′19″E Total area 1001 km2 | State-owned 335 km2 (33.4%) Collective 667 km2 (66.6%) | Woodland 956 km2 (95.50%) Garden 18 km2 (1.80%) | The national park administration undertakes ecological services and implements unified management of collective forest land. One is that the national park service purchases the ownership of the prohibited trees. The second is to implement “separation of two rights” national park agency exercising access rights, use natural forest logging subsidy and scenic spot ticket income as EC funds [25]. |
Sanjiangyuan National Park | 32°22′36″N~36°47′53″N 89°50′57″E~99°14′57″E Total area 123,100 km2 | _ | Grassland 86,832 km2 (73.58%) Rivers, lakes, and wetlands 29,843 km2 (25.29%) Woodland 495.2 km2 (0.42%) | The national park administration has established ecological management and protection posts, and implemented “one post for one household”, and poor households living on pastures undertake ecological services [26]. |
Hainan National Park | 18°33′16″~19°14′16″N 108°44′32″E~110°04′43″E Total area 4402 km2 | State-owned 3553 km2 (80.7%) Collective 849 km2 (19.3%) | Woodland 4020 km2 (91.30%) Garden 178 km2 (4.04%) | The national park administration undertakes ecological services, switching between collective land and state-owned land in the park. Taking the natural village as a unit, the replacement of land ownership between the place emigrated to and the place emigrated from shall be carried out, all the land collectively owned by the peasants who moved from the land will be transferred to the state, and the original state-owned land at the move-in place is determined to be collectively owned by farmers [27]. |
Management Branch | Affiliated Unit | Area | Number of People | ||||
---|---|---|---|---|---|---|---|
Total Area (km2) | Included in the Park Area (km2) | Proportion (%) | Total Number of People | Number of People in NTLNP | Proportion (%) | ||
Hunchun Bureau | Changbai Mountain Forest Industry Group | 4051 | 2719 | 67.10% | 1754 | 1226 | 69.90% |
Tianqiaoling Bureau | Changbai Mountain Forest Industry Group | 2035 | 1992 | 97.90% | 3689 | 2791 | 75.66% |
Wangqing Bureau | Changbai Mountain Forest Industry Group | 3042 | 2952 | 97.00% | 4142 | 3327 | 80.32% |
Daxinggou Bureau | Changbai Mountain Forest Industry Group | 1272 | 594 | 46.70% | 2454 | 1884 | 76.77% |
Suiyang Bureau | Longjiang Forest Industry Group | 5165 | 2563 | 49.60% | 4366 | 1172 | 26.84% |
Muling Bureau | Longjiang Forest Industry Group | 2675 | 679 | 25.40% | 3,928 | 403 | 10.26% |
Dongjingcheng Bureau | Longjiang Forest Industry Group | 4180 | 712 | 17.00% | 6228 | 586 | 9.41% |
Hunchun Municipal Bureau | Hunchun Municipal Government | 1403 | 659 | 47.00% | 147 | 34 | 23.13% |
Wangqing County Bureau | Wangqing County Government | 3289 | 1229 | 37.40% | 1706 | 1049 | 61.49% |
Dongning Municipal Bureau | Dongning Municipal Government | 3065 | 513 | 16.70% | 507 | 149 | 29.39% |
Survey Item | Mean | Std | Scope | Frequency (Sample = 78) | Percentage (%) |
---|---|---|---|---|---|
Family members | 2.62 | 0.81 | 1 | 5 | 6.41 |
2 | 29 | 37.18 | |||
3 | 37 | 47.44 | |||
4–5 | 7 | 8.97 | |||
Support coefficient | 1.82 | 0.66 | 1 | 12 | 15.38 |
1–2 | 55 | 70.52 | |||
3 | 9 | 11.54 | |||
4 | 2 | 2.56 | |||
Salary from Forest Bureau (CNY) | 41,056.46 | 17,650.14 | ≤30,000 | 19 | 24.36 |
30,001–60,000 | 45 | 57.69 | |||
60,001–90,000 | 12 | 15.39 | |||
≥90,001 | 2 | 2.56 | |||
Income from salary (CNY) | 47,254.54 | 20,450.83 | ≤30,000 | 16 | 20.51 |
30,001–60,000 | 41 | 52.56 | |||
60,001–90,000 | 16 | 20.52 | |||
≥90,001 | 5 | 6.41 | |||
Total income (CNY) | 64,028.94 | 23,430.11 | ≤30,000 | 4 | 5.13 |
30,001–60,000 | 35 | 44.87 | |||
60,001–90,000 | 25 | 32.05 | |||
≥90,001 | 14 | 17.95 | |||
Total outcome (CNY) | 62,352.06 | 42,803.34 | ≤30,000 | 10 | 12.82 |
30,001–60,000 | 41 | 52.56 | |||
60,001–90,000 | 14 | 17.95 | |||
≥90,001 | 13 | 16.67 |
Survey Item | Mean | Std | Scope | Frequency (Sample = 81) | Percentage (%) |
---|---|---|---|---|---|
Gender | 0.81 | 0.39 | Male | 66 | 81.48 |
Female | 15 | 18.52 | |||
Age | 46.07 | 7.64 | 25–35 | 12 | 14.81 |
36–44 | 16 | 19.76 | |||
45–59 | 53 | 65.43 | |||
Education | 11.47 | 2.42 | ≤9 | 30 | 37.04 |
10–13 | 31 | 38.27 | |||
≥14 | 20 | 24.69 | |||
Salary from Forest Bureau (CNY) | 33,496.35 | 5932.37 | ≤30,000 | 24 | 29.63 |
30,001–40,000 | 49 | 60.49 | |||
≥40,001 | 8 | 9.88 |
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Zhu, H.; Zhang, Y.; Chen, Y.; Zhao, M.; Bo, C. Constructing a Model of Government Purchasing of Ecological Services: Evidence from China’s Northeast Tiger and Leopard National Park. Land 2022, 11, 1737. https://doi.org/10.3390/land11101737
Zhu H, Zhang Y, Chen Y, Zhao M, Bo C. Constructing a Model of Government Purchasing of Ecological Services: Evidence from China’s Northeast Tiger and Leopard National Park. Land. 2022; 11(10):1737. https://doi.org/10.3390/land11101737
Chicago/Turabian StyleZhu, Hongge, Yutong Zhang, Yaru Chen, Menghan Zhao, and Cao Bo. 2022. "Constructing a Model of Government Purchasing of Ecological Services: Evidence from China’s Northeast Tiger and Leopard National Park" Land 11, no. 10: 1737. https://doi.org/10.3390/land11101737
APA StyleZhu, H., Zhang, Y., Chen, Y., Zhao, M., & Bo, C. (2022). Constructing a Model of Government Purchasing of Ecological Services: Evidence from China’s Northeast Tiger and Leopard National Park. Land, 11(10), 1737. https://doi.org/10.3390/land11101737