期刊:
Frontiers in Ecology and Evolution,2024年11:1308310 ISSN:2296-701X
作者机构:
School of Marxism, Hunan University of Science and Technology, China;School of Marxism, Hunan University of Finance and Economics, China;Economic College, Hunan Agricultural University, China
关键词:
Dongting Lake area;Ecological environment;Zoning control;Influencing factors;ecological restoration
摘要:
Introduction: Protecting the ecosystem of the Dongting Lake area is of utmost importance for maintaining ecological balance and achieving human well-being.
期刊:
Frontiers in Ecology and Evolution,2024年11:1342766 ISSN:2296-701X
作者机构:
Economic College, Hunan Agricultural University, China;Malanshan New Media College, Changsha University, China
关键词:
ecosystem services;trade-offs effect;Geographical detector;Influencing factors;Hilly areas of southern China
摘要:
Introduction: This study aims to investigate the factors influencing ecosystem service trade-offs/synergies (TOSs) in major agricultural production areas in the southern hilly region and to propose optimization strategies to promote ecosystem sustainability in agricultural areas.
关键词:
Real options;Tax reduction;Investment subsidy;Business cycles;Investment stimuli
摘要:
Based on a calibrated real options model, this paper examines a tax-subsidy program offered by a government to stimulate corporate investment under business cycles. We derive and discuss optimal incentive policies for different states of the economy. We find that it is optimal for the government to offer a combination of tax cuts and lump-sum subsidy for stimulating levered firms' investment under business cycles. Furthermore, the government should adopt counter -cyclical tax-subsidy policy, namely a higher (lower) tax cuts and a larger (smaller) lump-sum subsidy during recessions (booms). In particular, we provide a possible explanation why many governments around the world have reduced and even implemented negative interest rates to stimulate the economy during the COVID-19 pandemic in 2020. Finally, our conclusions also predict that the break-even tax-subsidy program always provides effective investment stimulus under business cycles.
作者机构:
[Li, Zhisheng; Zeng, Xiongwang] Hunan Agr Univ, Sch Business, Changsha 410128, Peoples R China.;[Zeng, Fusheng] Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.;[Caputo, Francesco] Univ Naples Federico II, Complesso Univ Monte St Angelo, Dept Econ Management & Inst DEMI, I-80126 Naples, NA, Italy.;[Chin, Tachia] Honghe Univ, Coll Business, Yunnan 661100, Mengzi, Peoples R China.
通讯机构:
[Tachia Chin] C;College of Business, Honghe University, Mengzi 661100, China
关键词:
production efficiency of rice;grain security;spatiotemporal evolution;influencing factors;spatial autocorrelation analysis model;geographic detector model
摘要:
Abstract: In a response to the appeal for securing the rice production efficiency to achieve the United Nations Sustainable Development Goals, we adopted a geographic detector model to investigate the spatiotemporal evolution trajectory and driving forces of the rice production in the world’s largest rice-producing country, China. We have analyzed the spatiotemporal evolution features and aggregation patterns of county rice production efficiency based on panel data of 122 counties in Hunan Province, one of the main grain production provinces in China, from 2006 to 2018. Our findings indicate: (1) Hunan Province’s rice production in three counties (i.e., Taoyuan, Liling, and Anren) showed the highest efficiency; there were pronounced regional variances in rice productivity which results in a sharp and rapid shrink of the range of rice productivity, (2) financial investments in agriculture, forestry, and water resources, as well as per capita disposable income of farmers, were the main determinants of the spatiotemporal variation in rice production efficiency, (3) the spatiotemporal divergence of rice production efficiency at the province level was U-shapedly, influenced by the share of secondary industry in GDP; the southern Hunan region received the biggest contribution from farmers in terms of disposable income per person at the regional level. Overall, theoretically, this study offers fresh evidence for regional optimization of rice and other grain production from a novel integrative approach of the geospatial and the land resource preservation. Practically, it provides feasible guidance for the high-quality development of grain production in China, which may also help eradicate hunger and attain sustainable grain production all over the world. Keywords: production efficiency of rice; grain security; spatiotemporal evolution; influencing factors; spatial autocorrelation analysis model; geographic detector model
作者机构:
[Song, Fengmei; Tang, Xiaomin; Cao, Yi; Zhao, Weichao] Univ South China, Sch Publ Hlth, Hengyang Med Sch, Hunan Prov Key Lab Typ Environm Pollut & Hlth Haza, Hengyang 421001, Peoples R China.;[Huang, Chaobo] Nanjing Forestry Univ NFU, Coll Chem Engn, Nanjing 210037, Peoples R China.;[Dai, Xuyan] Hunan Agr Univ, Econ Coll, Changsha 410128, Peoples R China.
通讯机构:
[Yi Cao] H;Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China
通讯机构:
[Li, YL ] H;Hunan Agr Univ, Coll Hort, Changsha 410128, Peoples R China.;Hunan Acad Agr Sci, Hunan Hort Res Inst, Changsha 410125, Peoples R China.;Kunpeng Inst Modern Agr, Foshan 528226, Peoples R China.
关键词:
anthocyanins;flavonoid biosynthesis;flower coloring;Loropetalum chinense var. rubrum;metabolomic;transcriptomic
摘要:
Abstract: The Loropetalum chinense and Loropetalum chinense var. rubrum are typical as well as traditional ornamental and Chinese herbal medicines in Asia; however, more information is needed on the mechanisms underlying their flower coloring. Here, we profiled the flavonoid metabolome and carried out full-length sequencing in addition to transcriptome analyses to investigate the flavonoid biosynthesis and global transcriptome changes among different petal coloring cultivars of L. chinense and L. chinense var. rubrum. The total anthocyanins in addition to the RHSCC values and CIE 1976 L*a*b* values of petals were highly consistent with petal color. Moreover, a total of 207 flavonoid components were identified. Of these, 13 flavonoid compounds were considered significantly different expression compounds highly consistent with color information in the 4 samples. Meanwhile, the first reference full-length transcriptome of L. chinense var. rubrum was built, which had 171,783 high-quality nonredundant transcripts with correcting with next-generation sequencing (NGS). Among them, 52,851 transcripts were annotated in the seven databases of NR, KOG, GO, NT, Pfam, Swiss-Port, and KEGG. Combined with NGS analyses, the DETs involved in flavonoids and anthocyanins contributed greatest to the flower coloring. Additionally, the different expressions of eight LcDFRs and four LcANS genes were positively correlated with flavonoid biosynthesis, and the four LcBZ1 as well as one Lc3Mat1 were positively correlated with the content of seven anthocyanins revealed by coupling with metabolomics and transcriptomics analyses. Together, these results were used to mine candidate genes by analyzing flower coloring changes at comprehensive metabolic and transcriptomic levels in L. chinense and L. chinense var. rubrum. Keywords: Loropetalum chinense var. rubrum; flavonoid biosynthesis; anthocyanins; flower coloring; metabolomic; transcriptomic