ASSET VALUES MATERIALIZATION MECHANISM OF FOREST CARBON SEQUESTRATION RESOURCES FROM PERSPECTIVE OF GAINS
Asset values materialization of forest carbon sequestration resources plays a key role in obtaining the pilot objective of collective-owned natural resources asset entrust. This paper, based on a framework of situation-proposal-theory-system, studies how to materialize the asset values of forest carbon sequestration resources, providing reference for stakeholders to gain from ownership. Forest storage expansion method and market value method are used to measure the forest carbon sequestration values balance of China’s recent four times of inventorying forest resources with results showing that the balance is huge and has been steadily increasing, which explains the significance of this study. Governmental public data shows that forest carbon sequestration, owning huge values, can be converted into gains only from a small proportion. Forest administrations largely rely on governmental funding. It is vital to create new model to materialize forest carbon sequestration values, to convert balance into asset gains and to realize stakeholders’ benefits. This paper, based on the core connotation of Marxist dialectical materialism, presents a point of “gain system view” that is macroscopic, linking, and developing design. It equally treats natural resources’ economic values and asset gains, from gains to all-sharing objective. Each key step has been linked to materialize the economic values of forest carbon sequestration resource assets. Based on “gain system view”, this paper constructs the theoretical mechanism of forest carbon sequestration resource assets from overall framework, key steps and guarantees, initially forming a theoretical system which is employed to conduct system construction. Gains can be obtained through market, finance and industries, and suggestions on system optimization are given. Guarantees of gains can be through “interactive-complete entrust”, and also through “collective ownership” in distribution system from three distributions among central government, local government, enterprise and all people. Gain budget and use management should be established to make gain distribution institutional, normalized and public.
Study on carbon emission factors and scenario prediction of Heilongjiang’s industrial sectors is of significance to reach Heilongjiang’s green low-carbon development under the background of carbon peaking and carbon neutralization. This paper uses IPCC to estimate Heilongjiang’s historical industrial carbon emission, and applies extended STIRPAT model to determine the six variables from population, economy and technology, square of GDP per capita, population scale, gross industrial production, industrial energy consumption, energy consuming efficiency and energy structure, and employes ridge regression to establish a carbon emission factor model by removing the multi-collinearity of independent variables. This paper also studies Heilongjiang’s social and economic reality from economic development, population scale, energy consumption and energy consumption efficiency, and determines the increment of independent variables combined with macroscopic policies, and predicts its 2020 to 2050 Heilongjiang’s appropriate industrial carbon emission under three scenarios, benchmark, low-carbon and highly-energy-consuming. Heilongjiang’s industrial low-carbon development is facing a huge demand for fossil energy and insufficient energy conversion efficient. Among the six factors impacting industrial carbon emission, square of GDP per capita, gross industrial production, industrial energy consumption and energy structure promote its industrial carbon emission, of which industrial energy consumption works the most, while population scale and energy consuming efficiency play on the contrast. Heilongjiang’s industrial carbon emission shows an increasing-then-decreasing evolutionary trend under the all three scenarios, varying in peaking time and heights, 71.35 millions tons in 2030 under the low-carbon scenario, 89.97 millions tons in 2035 under the benchmark scenario, and 123.68 millions tons in 2045 under the highly-energy-consuming scenario. This paper presents suggestions on largely adjusting industrial energy use structure, focusing on energy technical conversion and upgrade, and perfecting low-carbon green policies.
SPATIAL IMBALANCE AND DYNAMIC EVOLUTION OF CHINA’S LOW-CARBON ENERGY CONSUMPTION STRUCTURE
It is a key step to study China’s low-carbon energy consumption structural trend and to measure its spatial imbalance in advancing energy reform and green development. This paper, based on 2003 to 2020 energy consumption panel data of Chinese provinces/cities, uses Theil Index and spatial auto-correlation to study spatial imbalance and dynamic evolution of China’s low carbon energy consumption structure. The low carbon index of China’s energy consumption structure generally shows a rising trend, up 5.862 in 2020 from 5.298 in 2003. The spatial imbalance of China’s low carbon energy consumption structure is weak, in a rising-then-declining trend indicated by Theil Index. Regional low-carbon energy consumption structure variance largely impacts the overall difference. China’s low-carbon energy consumption structure is of obvious spatial positive correlation with spatial concentrating effect, relatively stably in overall spatial pattern, high-high concentrating in Jiangsu-Zhejiang-Shanghai, weak-weak in southwest and central China. This paper presents suggestions on constructing regional interest union by mutually cooperation, on advancing industrial structure to stimulate social innovation and market, and on optimizing energy industry structure to push energy consumption transformation.
Overviews over references reveal that defects are existing in traditional industrial deviation E coefficient, Theil Index and Shift-Share model. Defects in E coefficient and Theil Index are in calculating principles, and those in Shift-Share model are in rationality of selecting reference system and feasibility of data collection. This paper presents an improved model that is used to study China’s 2012 to 2021 industrial deviation via cases. It concludes that China’s industrial deviation is diminishing. According to the corrected model and combined with the current global environment, this paper suggests that the first industry rely on scientific innovation to promote rural labors’ orderly migration between urban and rural areas and to materialize agricultural scale and modernization, that the second industry needs to be upgraded to reach and maintain an independent and complete industrial system, to inputs more in basic research to outbreak western technical blockage, that the third industry be focusing on financing and scientific education, increasing Hongkong, Shanghai and Beijing’s positions in world financing center, using financial innovation to avoid unfavorable constraints and impacts from global financing system, practicing the strategy for invigorating the country through science and education and exploring educational modes appropriate China’s situation from primary school to university stages.