Econometric Modeling: Agriculture最新文献_第6页

Accounting for Attribute Non-Attendance in Three Previously-Published Choice Studies of Coastal and Marine Resources 在三个先前发表的沿海和海洋资源选择研究中对属性不出席的核算

Econometric Modeling: Agriculture Pub Date : 2019-09-04 DOI: 10.2139/ssrn.3448313

D. Petrolia, Joonghyun Hwang

引用次数: 1

Green Public Procurement and the Innovation Activities of Firms 绿色公共采购与企业创新活动

Econometric Modeling: Agriculture Pub Date : 2019-09-01 DOI: 10.2139/ssrn.3456520

Vera Zipperer

引用次数: 4

Macroeconomic and Financial Policies for Climate Change Mitigation: A Review of the Literature 减缓气候变化的宏观经济和金融政策:文献综述

Econometric Modeling: Agriculture Pub Date : 2019-09-01 DOI: 10.5089/9781513511955.001

Signe Krogstrup, William H. Oman

引用次数: 93

Drain or Gain? The Impact of Rural Laborers’ Off-Farm Employment on Agricultural Land Use Efficiency in China 消耗还是获得?中国农村劳动力非农就业对农地利用效率的影响

Econometric Modeling: Agriculture Pub Date : 2019-08-23 DOI: 10.2139/ssrn.3441630

Qianyu Zhao, Helen X. H. Bao, Zhanlu Zhang

{"title":"Drain or Gain? The Impact of Rural Laborers’ Off-Farm Employment on Agricultural Land Use Efficiency in China","authors":"Qianyu Zhao, Helen X. H. Bao, Zhanlu Zhang","doi":"10.2139/ssrn.3441630","DOIUrl":"https://doi.org/10.2139/ssrn.3441630","url":null,"abstract":"Abstract: The non-agricultural employment transfer of the rural labor force has fundamentally changed the labor input in China in recent decades. A good understanding of how the off-farm employment of rural laborers affects agricultural land use in China is needed. We use the Driscoll and Kraay standard errors (DK-SE) fixed effects model to investigate the relationship between rural laborers’ off-farm employment and agricultural land use efficiency based on a panel data of 1,961 counties in China. We find that the distribution of county-level agricultural land use efficiency is heavily skewed to the right, with many counties below the national average efficiency level. We also identify a robust U-shaped relationship between rural laborers’ off-farm employment and the change in agricultural land use efficiency, indicating that the substitution effect of capital and technology for rural labor has changed from weak to strong. The combined effects of the individual transfer mode and smallholder management scale are identified as the main drivers of this relationship. The findings have important policy implications for the joint reform of the household registration (hukou) system and the rural land use system (three rights separation reform) in China. The lessons learned from China also serve as a helpful reference for addressing the challenge of rural labor loss in other developing countries.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122065695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating the Value of the Lebanese Oil Resources Modeling and Forecasting Oil Price 黎巴嫩石油资源价值估算、石油价格建模与预测

Econometric Modeling: Agriculture Pub Date : 2019-08-20 DOI: 10.31014/AIOR.1992.02.03.128

Latife Ghalayini, Fabienne Saade

引用次数: 0

A Comparative Analysis of Energy-Efficient and Improved QoS-Driven Task and Resource Scheduling in Mobile Cloud Computing Environment 移动云计算环境下节能与改进qos驱动任务与资源调度的对比分析

Econometric Modeling: Agriculture Pub Date : 2019-08-11 DOI: 10.2139/ssrn.3435756

D. R, L. S

{"title":"A Comparative Analysis of Energy-Efficient and Improved QoS-Driven Task and Resource Scheduling in Mobile Cloud Computing Environment","authors":"D. R, L. S","doi":"10.2139/ssrn.3435756","DOIUrl":"https://doi.org/10.2139/ssrn.3435756","url":null,"abstract":"Mobile Cloud Computing (MCC) is a combination of cloud computing in to a mobile environment. It is refers to an infrastructure where data storage and data processing happen outside of the mobile device. MCC is an computing platform located in clouds, which is accessed over the wireless connection. MCC can significantly enhance the computation capability and saves energy of the smart mobile devices. Some built in defects of mobile devices, such as limited battery energy, insufficient storage; the mobile applications faces many challenges in mobility management, Quality of Service (QoS), energy management and security issues. A task is an application which is running in a mobile device and those tasks will be executed by Virtual Machines (VM) which is known as Resources. The pool of VM in a cloud computing data center needs to manage an efficient task and resource scheduling to maintain efficient energy, QoS and resource utilization. This work investigates comparative analysis of energy efficient and improved QoS-driven Task and Resource scheduling in a MCC environment by using Differential Evolution (DF). The evaluation of these algorithms is based on energy and QoS metrics. Based on the analysis of the simulation result, one of the scheduling will be concluded as best scheduling process in terms of energy and QoS.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127354606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Measuring Heat Waves and Their Effects on Economic Output 测量热浪及其对经济产出的影响

Econometric Modeling: Agriculture Pub Date : 2019-07-22 DOI: 10.2139/ssrn.3424125

Kenn Chua, J. Coggins, Steve J Miller, H. Mohtadi

引用次数: 0

Location Basis Differentials in Crude Oil Prices 原油价格的地理位置差异

Econometric Modeling: Agriculture Pub Date : 2019-07-20 DOI: 10.2139/ssrn.2436908

P. Luong, Bruce Mizrach, Yoichi Otsubo

引用次数: 8

Harnessing the Private Sector for Agricultural Technology Adoption: A Case Study of Agro-Dealers in Chotila, India 利用私营部门促进农业技术的采用:印度乔蒂拉农业经销商的案例研究

Econometric Modeling: Agriculture Pub Date : 2019-07-01 DOI: 10.2139/ssrn.3412982

Fenella Carpena

引用次数: 0

Implications for Provincial Economies of Meeting China's NDC Through an Emission Trading Scheme: A Regional CGE Modeling Analysis 碳排放交易机制对中国省级经济实现国家自主贡献的影响:区域CGE模型分析

Econometric Modeling: Agriculture Pub Date : 2019-06-21 DOI: 10.1596/1813-9450-8909

Jun Pang, G. Timilsina

{"title":"Implications for Provincial Economies of Meeting China's NDC Through an Emission Trading Scheme: A Regional CGE Modeling Analysis","authors":"Jun Pang, G. Timilsina","doi":"10.1596/1813-9450-8909","DOIUrl":"https://doi.org/10.1596/1813-9450-8909","url":null,"abstract":"This study analyzes the potential impacts of a national emission trading scheme on provincial economies in China of meeting China's emission reduction pledges, the Nationally Determined Contributions announced under the Paris Agreement. The study developed a multiregional, multisectoral, recursive-dynamic computable general equilibrium model and calibrated it with the latest provincial-level social accounting matrices (2012). The study shows that meeting China's Nationally Determined Contributions through an emission trading scheme would reduce almost 30 percent of the emission reduction from the business as usual scenario in 2030. If the baseline is corrected based on information from a bottom-up energy sector model, TIMES, the required reduction of emissions from the baseline in 2030 drops by half, to 15 percent. At the national level, the emission trading scheme would cause a 1.2 to 1.5 percent reduction in gross domestic product from the business as usual scenario in 2030. If the baseline is corrected, the impact on gross domestic product drops by two-thirds. The emission trading scheme would cause some provincial economies to gain and others to lose. The economic impacts are highly sensitive to the allowance allocation rules. Not only the magnitudes, but also the directions of the economic impacts alter when the allocation rules change. The provinces that rely on coal mining or coal-intensive manufacturing industries are found to experience relatively larger economic losses irrespective of the allowance allocation rules.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122028110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2