Agricultural Investment Project Decisions Based on an Interactive Preference Disaggregation Model Considering Inconsistency

Agricultural investment project selection is a complex multi-criteria decision-making problem,as agricultural projects are easily influenced by various risk factors,and the evaluation information provided by decisionmakers usually involves uncertainty and inconsistency.Existing literature primarily employed direct preference elicitation methods to address such issues,necessitating a great cognitive effort on the part of decision-makers during evaluation,specifically,determining the weights of criteria.In this study,we propose an indirect preference elicitation method,known as a preference disaggregation method,to learn decision-maker preference models fromdecision examples.To enhance evaluation ease,decision-makers merely need to compare pairs of alternatives with which they are familiar,also known as reference alternatives.Probabilistic linguistic preference relations are employed to account for the presence of incomplete and uncertain information in such pairwise comparisons.To address the inconsistency among a group of decision-makers,we develop a pair of 0-1mixed integer programming models that consider both the semantics of linguistic terms and the belief degrees of decision-makers.Finally,we conduct a case study and comparative analysis.Results reveal the effectiveness of the proposed model in solving agricultural investment project selection problems with uncertain and inconsistent decision information.

Chinese Enterprises’ Investment in Southeast Asia Continues Unabated

As we all know,Southeast Asia has become a hot destination for Chinese enterprises to invest in.The latest report shows that Southeast Asia continues to attract China’s capital,within which the medical industry has become an important area for Chinese enterprises to invest in,and the investment activity has gradually warmed up despite fluctuations.

Which Cities are More Attractive for Business Investment?

A good business environment is the soft power and core competitiveness for urban economic development,and is a key element to attract business investment.Recently,the“Top 50 Cities with Business Investment Attraction”(hereinafter referred to as the Survey)released by the Big Data Research Institute of Qi Chacha shows that the siphonic effect of the first-tier cities is significant,and in the past five years,enterprises in Shanghai,Beijing and Shenzhen have been invested in the most frequently.

How to Further Attract and Stabilize Foreign Investment

During the Two Sessions,how to attract foreign investment to China and how to further optimize the business environment for foreign investment have become hot topics in the economic field.The 2024 government work report proposes increased efforts to attract foreign investment.It will continue to reduce the negative list of foreign investment access,completely lift restrictions on foreign investment accessto the manufacturing industry.

Renewing Chinese Investment in Indonesia’s Energy Sector

On April 1,the China RE Invest Indonesia 2024,a symposium cohosted by the Embassy of the Republic of Indonesia in China,the Southeast Strategics(a business and investment research and advisory institute),and the Center for Strategic and International Studies(CSIS)Indonesia,took place in Beijing.Representatives from renewable energy investment companies,equipment manufacturers,financial institutions,government departments,renewable energy-related enterprises.

How R&D investment promotes green technology innovation in the context of digitalization?-An empirical analysis based on provincial panel data

Green technology innovation is an important driving force and source to promote my country’s high-quality development,and it is the core path to achieve sustainable development.This paper uses my country’s provincial panel data from 2016 to 2019 to study the impact mechanism of R&D investment on green technology innovation,and introduces the level of digitization,using the panel threshold model to discuss its role in the impact mechanism of R&D investment on green technology innovation.The study found that when the level of digitalization in a region is low,increasing R&D investment does not necessarily improve the ability of green technology innovation;when the level of digitalization is relatively high,R&D investment has a positive role in promoting green technology innovation.Therefore,it is necessary to improve policies to encourage enterprises to increase investment in research and development;at the same time,it is necessary to promote the coordinated development of digital foundation,digital investment,digital literacy,digital economy and digital application,and promote the deep integration of digitalization and green technology innovation.

National Social Investment Programmes in Nigeria:A Descriptive Analysis of the Socio-Economic Contributions of N-Power Programme in Benue State

This study analysed the socio-economic contributions of N-Power programme amongst the beneficiaries of the scheme in Benue State.Prior to the introduction of N-Power programme,successive administrations in Nigeria have made concerted efforts towards improving the standard of living of the citizenry through the execution of various welfare or social intervention programmes,but not much successes were recorded.Learning from the mistakes of the past regimes,and by way of deliberate state policy,the Buhari’s government initiated a multi-pronged social investment policy,one of which is the N-power programme that came onboard in 2016,which also doubles as the subject of this study.To achieve the goal of this study,a combination of desktop research and survey design was employed.Questionnaires were administered to 390 respondents through a combination of stratified and random sampling techniques.The results of the survey were matched with that of the secondary data obtained through online websites and other related sources.The result indicated that N-Power made positive contributions to the socio-economic life of the beneficiaries in Benue State:specifically,the scheme contributed in poverty eradication,employment generation,skills acquisitions and capacity building.However,some aspect of our findings revealed that the programme has a number of challenges such as:inadequate cash support,delay in monthly cash transfer to beneficiaries,distance participants had to move to their work stations,absence of posting in N-Teach scheme,and lack of adequate working tools amongst others.To salvage this problem the paper recommended the following solutions:expansion of the scheme to cover N-Teach and other aspects,increment in the monthly cash transfer to cushion the high rate of inflation,support for the participants/beneficiaries in transportation and logistics,enrolment of more youth into the various schemes,proper monitoring and evaluation of the implementation of the schemes amongst others.

Research on the Threshold Effect of China’s Pharmaceutical Export Trade on Internal and External R&D Investment

Objective To study the threshold effect of export trade on internal and external R&D investment in China’s pharmaceutical industry,and to provide reference for some pharmaceutical enterprises to improve the investment.Methods The panel data of pharmaceutical industry in 25 provinces and cities in China from 2009 to 2019 were selected to conduct empirical analysis by establishing a threshold regression model,and a better export trade interval was obtained.Results and Conclusion There is a threshold value for the effect of new product export on both internal and external R&D expenditures,and the threshold values are 845.2788 million yuan and 318.4198 million yuan,respectively.There is a single threshold effect of export trade on both internal and external R&D investment in China’s pharmaceutical industry,and the effect of export trade on internal and external R&D investment changes from negative to positive as the export trade develops from low to high.

Research on the Investment Mode and Path of China’s Construction Waste Resourceization Industry

At present,China’s construction waste accounts for about 40%of the total municipal solid waste,with a large stock,a large increment,and a low rate of resource utilization,which is still a big gap compared with developed countries.However,the market prospect of the construction waste industry is relatively broad,the reuse value of the construction waste is high,so these resources should be fully utilized.This paper presents an in-depth analysis of projects in the construction waste resourceization industry,examining the industrial chain,development history,current status,investment and financing modes,and case studies.It proposes targeted strategies for companies to focus on the upstream and downstream segments of the construction industry’s value chain and explores the implementation of investment opportunities in construction waste resourceization.

Innovative Strategies for Financial Investment Management Strategies of Enterprises in the New Era

With the in-depth development of economic globalization and the continuous emergence of new technologies,the importance of enterprise financial investment management strategy is becoming more and more prominent.The traditional financial investment management strategy can no longer meet the needs of enterprises in the new era and needs to be innovated with the times.For enterprises,the effectiveness and scientificity of financial investment management strategy will directly affect the competitiveness and long-term development of enterprises.Therefore,this study chooses the innovation based on the financial investment management strategy of enterprises in the new era as the research theme,aiming at exploring the innovative strategy to adapt to the needs of enterprises in the new era.

Risk Assessment and Control in Medical Investment,Merger,and Acquisition

The risk assessment and control of medical investment,merger,and acquisition are crucial topics within the medical industry,encompassing various aspects of investment,merger,and acquisition within this sector.The process primarily targets the unique nature and associated risks of the medical industry,focusing on effective risk management and control strategies to facilitate the smooth progression of investment,merger,and acquisition activities.

基于PLUS-InVEST模型的陕南地区土地利用变化多情景模拟与碳储量评估

在PLUS模型中纳入POI驱动因子并利用LASSO回归进行驱动体系筛选与精度验证,设定自然发展、经济保护与生态保护3种情景,利用筛选后的驱动因子模拟2030年各情景下陕南地区的土地利用格局,利用InVEST模型分析2000—2020年陕南地区碳储量的时空分异特征,探讨不同发展情景下土地利用变化对陕南地区碳储量的影响。结果表明:(1)2000—2020年,陕南地区的建设用地面积由23648.49 hm^(2)增长到78000.21 hm^(2),侵占了耕地、林地和草地的生存空间,使其分别减少了39415.05 hm^(2),8787.51 hm^(2)与17476.56 hm^(2),2030年3种发展情景下的建设用地均保持扩张的趋势。(2)在PLUS模型中加入POI驱动因子且利用LASSO算法筛选驱动因子有效提升了模型的精度与运行效率,模型的Kappa系数和OA系数分别提高了2.53%和0.20%,更精准地模拟了建设用地的分布情况。(3)2000—2020年陕南地区碳储量总量呈下降趋势,由2.1887×10^(9)t下降至2.1775×10^(9)t。2030年经济保护情景与自然发展情景的碳储量总量均小于2020年,生态保护情景下的碳储量总量最高,达到了2.1830×10^(9)t。(4)生态保护情景更有利于陕南地区的可持续发展策略,以陕南地区平均碳密度分区分布为基础,可为陕南地区分区发展与区域碳收支平衡提供参考,对未来不同情景下土地利用对区域碳储量的影响和双碳背景下的国土空间规划具有借鉴意义。

基于InVEST模型的共和县生境质量时空变化及驱动因素

在新型城镇化背景下,青海省共和县作为兰西城市群建设的关键节点和典型的荒漠生态脆弱区,其经济和生态的协调发展对建设海南州可持续发展议程创新示范区具有重要意义。本研究基于2000年、2010年、2020年三期土地利用数据,利用InVEST模型,对2000—2020年共和县生境质量时空分布及效应变化特征进行探究,进而对生境质量的影响因子及其作用进行地理探测器和局部空间回归。结果表明:(1)2000—2020年共和县生境质量整体呈上升趋势,生境质量均值分别为0.612(2000年)、0.626(2010年)、0.627(2020年),生境质量空间分布存在明显的区域差异,空间格局上呈现北高南低的态势。(2)影响共和县生境质量的主驱动因子为年平均气温(TEM)和归一化植被指数(NDVI),因子间的交互作用对生境质量空间分异的影响大于单一因子,TEM与香农均匀度指数(SHEI)、香农多样性指数(SHDI)交互作用强烈。(3)TEM对生境质量呈负向效应,负向影响区域主要集中在共和北部与东部地区;NDVI呈正向效应,正向影响区域主要集中在共和中部与南部地区;国民生产总值(GDP)对生境质量的正向效应较2000年上升了30%,塔拉滩光伏促进了共和县生态产业协同发展。研究结果可为干旱区推动地方经济建设和生态环境保护提供科学的决策依据。

基于PLUS-InVEST模型的呼和浩特市多情景土地利用变化动态模拟及碳储量评估

为探究呼和浩特市土地利用变化对生态系统碳储量的影响,本研究基于InVEST模型与PLUS模型模拟预测呼和浩特市在自然发展、生态保护、耕地保护、城市发展4种情景下的土地利用与碳储量。结果表明:1990-2020年呼和浩特市不透水面、林地、草地、水体等土地利用类型的面积呈增加状态,耕地、裸地、灌木地等土地类型的面积呈减少状态,其中灌木地和裸地的土地转出率较高,分别为93.63%和98.24%。InVEST模型估算结果显示,不透水面不断扩张,侵蚀耕地等高碳密度土地类型,造成呼和浩特市1990-2020年碳储量呈逐年递减趋势。2030年自然发展、生态保护、耕地保护、城市发展情景模拟下的呼和浩特市的碳储量与2020年相比均呈现减少状态,其中耕地保护情景碳储量降幅最小,其次为生态保护情景,说明采取合理的保护措施能够有效抑制碳储量下降。耕地保护情景能够有效减缓城市建筑的扩张趋势,生态保护情景则可有效增加水体、草地等生态类用地面积。研究表明,落实耕地和生态保护政策、优化土地利用结构、提高土地利用效率对呼和浩特市的可持续发展均有重要意义。

基于FLUS和InVEST模型的云贵高原土地利用与生态系统服务时空变化多情景模拟研究

[目的]探讨云贵高原不同情景下的土地利用与生态系统服务时空变化,为云贵高原土地利用空间格局优化、生态系统服务功能提升和可持续发展策略制定提供科学依据。[方法]以云贵高原为研究对象,以2001年、2010年和2020年3期MCD12Q1土地覆被数据为基础数据,辅以自然和社会经济数据,基于ArcGIS,FLUS模型和InVEST模型,模拟2030年、2040年和2050年自然发展情景、生态保护情景和耕地保护情景下的土地利用以及碳储量、产水量和土壤保持量3项生态系统服务功能时空分布格局。[结果](1)不同情景下云贵高原的土地利用变化以林地持续增加和草地持续减少为主要趋势;耕地保护情景下,耕地面积最高可占总面积的10.38%;生态保护情景下,林草面积在2050年可达总面积的90%。(2) 3种情景下,云贵高原2020—2050年碳储量和土壤保持量均呈上升趋势,而产水量呈下降趋势。生态保护情景下,2050年碳储量预测值最高,为8.13×10^(9) t;产水量减少速率显著低于另外两种情景,降幅为0.46%。(3)宜昌市、普洱市和常德市等市州的生态系统服务供给能力较高;而贵阳市、毕节市和安顺市等市州的生态系统服务供给能力较低。[结论]云贵高原2020—2050年整体生态系统服务供给能力较好,各项服务功能在不同情景下表现出较强的空间聚集性和异质性。云贵高原今后的生态系统服务管理和可持续发展中,应考虑不同生态系统服务功能的空间异质性以及林地面积持续增加可能带来的水资源失衡问题。

基于InVEST模型的京津冀土地利用变化及碳储量时空分异研究

大气中二氧化碳含量的增加是国际社会广泛关注的环境问题,人类活动改变土地利用格局,而土地利用/覆被(land-use/land-cover,LULC)变化影响陆地生态系统结构、功能及碳循环。本文在全球地表覆盖数据GlobeLand30的支持下分析了2000-2020年京津冀土地利用变化,利用InVEST模型模拟了碳储量时空变化,并结合空间自相关分析技术对其进行了分区研究。结果表明:①2000-2020年京津冀地区耕地和人造地表变化面积最大,分别为减少340222.124 hm^(2)和增加246333.493 hm^(2);②京津冀地区2000、2010和2020年碳储量总值分别为1666.47×10^(6)、1654.63×10^(6)、1632.88×10^(6)t,耕地流失和人造地表扩张是碳储量下降的主要原因;③京津冀碳储量高值主要分布在海拔相对较高的山林地区,低值主要分布在北京市中心、津冀海岸带,以及河北省沧州和唐山的东部南部区域;④局部自相关结果表明,碳储量出现高-高聚集的区域在研究区的北部和西部,在出现低-低聚集的区域中天津市东丽区和河北省邯郸市邯山区呈现出较为明显的弱化趋势。

基于PLUS和InVEST模型的乌鲁木齐市碳储量时空演变与预测

土地利用变化对陆地生态系统的碳储量变化有着重要影响,研究不同发展情景下陆地生态系用碳储量变化情况,有利于优化空间布局,协调土地利用与生态环境保护的关系。本研究结合PLUS和InVEST模型,通过多种驱动因素数据分析了2000—2020年乌鲁木齐市土地利用的变化特征,以此预测模拟2030年自然发展情景、生态保护优先情景和耕地保护优先情景下土地碳储量。结果表明:(1)2000—2020年乌鲁木齐市林地、水域、建设面积、未利用地数量增加,耕地、草地面积减少。(2)2030年,自然发展情景延续了以往发展模式,建设用地面积增幅为18.29%。生态保护优先情景下,建设用地的扩张速度得到有效控制,增幅已经减缓,为4.73%。耕地保护优先情景下耕地面积比自然发展情景下多了171 km^(2),耕地保护效果显著。(3)2000—2020年,碳储量呈下降趋势,共计减少8.5×10^(6)t。2030年自然发展情景下碳储量总量相较于2020年减少了4.065×10^(6)t,生态保护优先情景下比自然增长情景高7.519×10^(5)t,耕地保护优先情景比自然增长情景低1.979×10^(6)t。因此,在未来乌鲁木齐市发展规划中,应当落实耕地保护责任,控制建设用地向林地、草地等高碳密度用地的扩张,优化用地布局,提高区域碳储量水平。

基于InVEST模型的黔中喀斯特地区建设用地扩张碳储量变化研究

选择典型生态脆弱区黔中典型喀斯特地区—普定县为研究对象,采用土地利用动态度和土地利用转移分析方法,应用InVEST模型测算2003-2020年的陆地生态系统碳储量及其空间分布格局,探讨建设用地扩张对碳储量变化的影响。结果表明:(1)2003-2020年建设用地面积一直保持增加趋势,扩张速率表现为减缓态势,空间变化在中南部区域最为显著,主要侵占旱地、水田和灌木林地。(2)普定县碳储量整体呈上升趋势,累计增加15.07×10^(5)t,主要因碳密度较高的灌木林地大幅挤占旱地。(3)建设用地变化致使碳储量损失了22.37×10^(4)t,以中南部中心城区碳储量下降最为明显。因此,建议研究区在城市扩张过程中优先考虑碳密度较低的未利用地,同时限制建设用地对旱地、水田以及灌木林地的占用,以减少建设用地扩张对区域碳储存能力的影响。

基于InVEST模型的蒲河流域景观格局及生境质量时空演变分析

[目的]通过对景观生态格局和生境质量的时空动态分析,深入研究沈阳市蒲河流域实施水土保持措施前后的生境质量响应情况,旨在为小型流域的水土保持策略提供科学依据,以促进生态经济的协同增长和区域生态的持续健康发展。[方法]基于蒲河流域2000年、2010年、2020年的土地利用数据和数字高程模型(DEM)等数据,结合FRAGSTATS和InVEST模型,运用土地利用转移矩阵、景观格局指数、生境质量及生境退化度对土地利用变化进行分析,探究响应机理。[结果](1)在2000-2010年期间,蒲河流域的耕地开发活动频繁,导致森林、草地等土地类型的比例显著下降;在2010-2020年期间,蒲河生态廊道的建设推动土地利用的变化,耕地面积流向人造地表、森林和草地。(2)在2000-2020年期间,蒲河流域的整体景观格局经历先趋于完整后破碎化的演变过程,蒲河两岸景观形成多种要素集合的密集格局,城市中心北部边缘地区生境持续破碎化。(3)从流域整体分析,2000年、2010年、2020年的生境平均质量分别为0.349,0.329,0.354,呈现出先降后升的趋势。生境退化平均值分别为0.098,0.112,0.086,与生境质量变化趋势一致。随着蒲河生态廊道建设,2020年生境质量明显改善,生态系统受到的威胁减少。从空间格局分析,东北部与西南部呈现出明显的空间分布特征;东北山区、西南湿地等区域生境质量总体较好,但有着生境退化的威胁。[结论]在水土保持措施的影响下,蒲河流域的景观生态格局得以改善,有效抑制了生境的退化现象。

基于PLUS和InVEST模型的合肥市生态系统碳储量时空演变特征

[目的]为寻求“双碳”目标导向下的合肥市城市发展新方案。[方法]依据合肥市2000-2020年5期土地利用数据,在合肥市国土空间规划指引下,运用PLUS模型模拟得到2035年合肥市土地利用时空演变规律,耦合InVEST模型探究多情景下合肥市碳储量时空变化特征,并进一步挖掘土地综合利用程度对碳储量的影响。[结果](1)2000-2020年合肥市土地利用变化特征主要表现为耕地、林地减少,其中耕地为建设用地扩增主要来源。自然发展和农田资源保护情景的土地变化规律大致相同,主要表现为耕地、林地、水体减少;绿色汇增城市发展情景下,林地相比其余2个情景面积由减少转为增加。(2)2000-2020年合肥市碳储量逐年递减,其中2005-2010年碳损失最为剧烈。到2035年,自然发展情景、农田资源保护情景、绿色汇增城市发展情景碳储量分别为138.96×10^(6),140.13×10^(6),139.81×10^(6) t。农田资源保护情景下,碳储量明显增加区域最低,建设用地扩张减缓;绿色汇增城市发展情景下,林地由碳损失转为碳固持,是最具固碳潜力的发展趋势。(3)绿色汇增城市发展情景土地利用率最高,可有效降低土地综合利用程度对碳储量流失的威胁。[结论]农田资源保护情景与绿色汇增城市发展情景均有助于城市固碳发展,实施生态保护与城市发展并行政策,调整土地综合利用模式有助于改善城市碳流失。