发布求助
文献互助 智能选刊 最新文献

Econometric Modeling: Agriculture最新文献

筛选
英文 中文
Impact of Factors on the Utilization of Agricultural Credit of Banks: An Analysis from the Borrowers’ Perspective 影响银行农业信贷利用的因素:基于借款人视角的分析
Econometric Modeling: Agriculture Pub Date : 2018-11-16 DOI: 10.21511/BBS.14(1).2019.16
L. Lokesh, Iqbal Thonse Hawaldar
{"title":"Impact of Factors on the Utilization of Agricultural Credit of Banks: An Analysis from the Borrowers’ Perspective","authors":"L. Lokesh, Iqbal Thonse Hawaldar","doi":"10.21511/BBS.14(1).2019.16","DOIUrl":"https://doi.org/10.21511/BBS.14(1).2019.16","url":null,"abstract":"Agricultural credit is required for the development of agriculture scenario in any economy. Commercial, cooperative and regional rural banks have extended agricultural credit to the farmers in Dakshina Kannada district of India. The effectiveness of agricultural credit system depends on the utilization of credit funds by the borrowers. The present study made an attempt to understand the factors influencing the utilization of agricultural credit of banks in Dakshina Kannada. The study used primary and secondary data. Primary data are gathered from the borrowers of banks operating in Dakshina Kannada district. The study found that there is an impact of demographic, agriculture and agricultural credit factors on the purpose of utilization of agricultural credit in Dakshina Kannada district.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114442230","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: 4
Effects of B.C.’s Carbon Tax on GDP 卑诗省碳税对GDP的影响
Econometric Modeling: Agriculture Pub Date : 2018-11-12 DOI: 10.2139/ssrn.3283220
J. Bernard, Maral Kichian, Misbahul Islam
{"title":"Effects of B.C.’s Carbon Tax on GDP","authors":"J. Bernard, Maral Kichian, Misbahul Islam","doi":"10.2139/ssrn.3283220","DOIUrl":"https://doi.org/10.2139/ssrn.3283220","url":null,"abstract":"The province of British Columbia, Canada, introduced a broad-based revenue-neutral carbon tax in July 2008; the rate was set to $10/tonne of CO2 initially, increased annually by $5/tonne until 2012 to reach $30/tonne, and remained at that level until 2017. We use the experience related to this unique initiative to shed some light on the controversy regarding the nature of the relationship between environmental taxes and overall economic activity. In particular, we test whether gasoline and diesel carbon taxes had any impact on GDP changes of the province, either positive or negative. Having found no evidence of asymmetry in the price impact, our analysis is conducted in the context of a standard VAR framework. We conclude that there is no statistically significant effect of carbon taxes on GDP change. The result is supported by tests on slope coefficient estimates as well as via dynamic simulations with and without carbon tax. We also find evidence of complete pass-through of carbon tax into price over time.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122832396","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: 16
Population Growth Problems and Food Security in Nigeria 尼日利亚的人口增长问题和粮食安全
Econometric Modeling: Agriculture Pub Date : 2018-10-31 DOI: 10.2139/ssrn.3330999
K. Oguntegbe, V. Okoruwa, Ogheneruemu Obi-Egbedi, K. Olagunju
{"title":"Population Growth Problems and Food Security in Nigeria","authors":"K. Oguntegbe, V. Okoruwa, Ogheneruemu Obi-Egbedi, K. Olagunju","doi":"10.2139/ssrn.3330999","DOIUrl":"https://doi.org/10.2139/ssrn.3330999","url":null,"abstract":"This paper examines the effect of population growth on food production in Nigeria using secondary data on food production index and population growth rate obtained within the period of 1980 to 2011. Time series nature of data was adequately investigated using unit root tests. Engle-Granger causality test was also performed on the two variables of interest- food production index and population growth rates. Two standard econometric methodologies were employed. Ordinary Least Square regression and Instrumental Variable technique were both employed in estimating the model. Empirical finding from the OLS indicates that population growth is positively related to food production. However, the Instrumental Variable Approach produced a more interesting result; an increase in population growth rate significantly reduces food output. It is therefore pertinent for Nigeria to check her population growth rate in order to avoid population explosion and its attendant consequence. Suggested population control measures include legislation against polygamy as well as placing a ceiling on the number of birth allowable per family. Primary education should also be promoted by the Government just as better health care facilities should be put in place to increase longevity.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"580 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116175547","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: 6
Energy Performance Certificates and Investments in Building Energy Efficiency: A Theoretical Analysis 能源绩效证书与建筑节能投资:理论分析
Econometric Modeling: Agriculture Pub Date : 2018-09-21 DOI: 10.2139/ssrn.3253030
Pierre Fleckinger, M. Glachant, Paul-Hervé Tamokoué Kamga
{"title":"Energy Performance Certificates and Investments in Building Energy Efficiency: A Theoretical Analysis","authors":"Pierre Fleckinger, M. Glachant, Paul-Hervé Tamokoué Kamga","doi":"10.2139/ssrn.3253030","DOIUrl":"https://doi.org/10.2139/ssrn.3253030","url":null,"abstract":"In the European Union, Energy Performance Certificates (EPCs) provide potential buyers or tenants with information on a property's energy performance. By mitigating informational asymmetries on real estate markets, the conventional wisdom is that they will reduce energy use, increase energy-efficiency investments, and improve social welfare. We develop a dynamic model that partly contradicts these predictions. Although EPCs always improve social welfare, their impact on energy use and investments is ambiguous. This implies that, in a second-best world where energy externalities are under-priced and/or homeowners have behavioral biases hindering investments (myopia), EPCs can damage social welfare. This calls for using mandatory energy labeling in contexts where additional instruments efficiently mitigate the other imperfections.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129654298","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: 26
World Trade and Endogenous Rule of Law: Size and Pattern Effects 世界贸易与内生法治:规模效应与模式效应
Econometric Modeling: Agriculture Pub Date : 2018-09-10 DOI: 10.2139/ssrn.3250725
Richard Frensch, R. Horvath, S. Huber
{"title":"World Trade and Endogenous Rule of Law: Size and Pattern Effects","authors":"Richard Frensch, R. Horvath, S. Huber","doi":"10.2139/ssrn.3250725","DOIUrl":"https://doi.org/10.2139/ssrn.3250725","url":null,"abstract":"Recent literature has analyzed three channels through which size and patterns of a country's involvement in international trade may affect the quality of its institutions: openness, the institutional intensity of exports and the natural resources exports. Our contribution is threefold. First, we analyze these channels jointly. Second, we propose a novel way to measure institutional intensity of exports at goods level based on nearly one hundred million disaggregated bilateral trade flows that represent world trade. Third, we analyze the effects of separate export goods categories, that is, primary, fragmented, and other goods, on the rule of law. Using data for 144 countries in an instrumental variables framework, we find that geographically predetermined openness improves the rule of law. The impact of the rule of law intensity of a country’s exports on its rule of law differs for different goods categories. In particular, in our preferred specification it is only the rule of law intensity of exports of fragmented goods that matters. Finally, we do not find evidence for an institutional resource curse.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132474444","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
The Impact of Oil Prices on Stock Prices and Other Macroeconomic Variables in India: Pre‐ and Post‐2008 Crises 石油价格对印度股票价格和其他宏观经济变量的影响:2008年危机前后
Econometric Modeling: Agriculture Pub Date : 2018-08-13 DOI: 10.1111/opec.12129
Vishruti Gupta, Pooja Sharma
{"title":"The Impact of Oil Prices on Stock Prices and Other Macroeconomic Variables in India: Pre‐ and Post‐2008 Crises","authors":"Vishruti Gupta, Pooja Sharma","doi":"10.1111/opec.12129","DOIUrl":"https://doi.org/10.1111/opec.12129","url":null,"abstract":"This paper attempts to explore the impact of oil prices on stock prices, exchange rates, and inflation rates in the Indian economy for the time period May 1996 to April 2017. This relationship will be investigated for pre‐ and post‐2008 crises, with an aim to explore the linkages between oil prices and stock prices. The financial crisis of 2008 affected the Indian economy through the external sector, while the rise in interest rates owing to pressure on domestic liquidity eventually affected exchange rates. The study concluded that there exists a structural break in the year 2008 and that there is a long‐term relationship between the concerned macroeconomic variables. Finally, the theoretical hypothesis that oil prices affect stock prices has been confirmed by considering India as a case study. The study concluds that there exists a structural break in 2008 crises.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"2006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127641224","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: 7
Social Protection Policies and Agricultural Output in Nigeria: Empirical Investigation Using Household Survey Data 尼日利亚社会保护政策与农业产出:基于住户调查数据的实证调查
Econometric Modeling: Agriculture Pub Date : 2018-05-29 DOI: 10.2139/ssrn.3186392
Romanus Anthony Osabohien, E. Osuagwu
{"title":"Social Protection Policies and Agricultural Output in Nigeria: Empirical Investigation Using Household Survey Data","authors":"Romanus Anthony Osabohien, E. Osuagwu","doi":"10.2139/ssrn.3186392","DOIUrl":"https://doi.org/10.2139/ssrn.3186392","url":null,"abstract":"Social protection programmes have been recognised and proven to be one of the most effective policies in fighting poverty, hunger and unproductive capacity of rural or poor farmers. Despite the fact that poverty have seen to be declining over the years, the number of people who are still undernourished remains high in Nigeria, and where little effort has been made in improving social interventions. Thus, this study explores the relationship between social protection policies and agricultural output in Nigeria using data from Living Standard Measurement Study-Integrated Survey on Agriculture (LSMS-ISA). The method of analysis engaged is the Propensity Score Matching (PSM). The result from the PSM shows that households who benefit from social protection programmes in form of agricultural credits experienced trice yields more than their counterparts who do not benefit from the programme.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121646108","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: 11
Using the Binomial Model for the Valuation of Real Options in Computing Optimal Subsidies for Chinese Renewable Energy Investments 用二项模型计算中国可再生能源投资最优补贴的实物期权估值
Econometric Modeling: Agriculture Pub Date : 2018-05-28 DOI: 10.2139/ssrn.3186274
Xiaoran Liu, Ehud I. Ronn
{"title":"Using the Binomial Model for the Valuation of Real Options in Computing Optimal Subsidies for Chinese Renewable Energy Investments","authors":"Xiaoran Liu, Ehud I. Ronn","doi":"10.2139/ssrn.3186274","DOIUrl":"https://doi.org/10.2139/ssrn.3186274","url":null,"abstract":"For the valuation and implementation of renewable energy investments, the issue of providing private investors with a financial incentive to accelerate their investment is frequently a critical component. We apply this principle to the Chinese context. This paper focuses on using the binomial model to compute the required subsidy that would incentivize investors to optimal immediate exercise of the American-style option embedded at the launching phase of the projects for Chinese renewable energy investments. In addition, this paper also aims at contrasting the binomial model with the more-laborious Monte Carlo simulation previously used to evaluate the proper subsidy. By using the same data but a different method, and reducing the number of uncertain factors to one, it is suggested these two methods have similar outcomes but the binomial method requires substantially less computation and is more self-explanatory. This paper thus provides government with an easy-to-implement alternative way to compute the required subsidy.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117103586","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: 23
Renewable Energies and Industrial Production in the USA: Does the Energy Source Matter? 美国的可再生能源和工业生产:能源重要吗?
Econometric Modeling: Agriculture Pub Date : 2018-05-18 DOI: 10.2139/ssrn.3180692
T. Hoang, Syed Jawad Hussain Shahzad, Muhammad Shahbaz, R. Jammazi
{"title":"Renewable Energies and Industrial Production in the USA: Does the Energy Source Matter?","authors":"T. Hoang, Syed Jawad Hussain Shahzad, Muhammad Shahbaz, R. Jammazi","doi":"10.2139/ssrn.3180692","DOIUrl":"https://doi.org/10.2139/ssrn.3180692","url":null,"abstract":"This paper aims to analyze the interaction between renewable energy consumption and the industrial production of the USA over the 1981-2015 period. Its contributions are related to the disaggregation of renewable energy sources (hydroelectric, geothermal, and biomass energy from wood, waste, and biofuel), to the consideration of industrial production instead of economic growth and to the impact of time and frequency. Based on monthly data, wavelet results show a positive comovement at low frequencies between industrial production and biomass energies only. The bootstrap rolling causality test shows that only hydroelectric and wood energy consumption Granger cause industrial production. However, this causal relationship is timevarying and renewable energies are particularly important in crisis periods because they help maintaining the energy independence of the country. Further policy implications are analyzed in the paper.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124179044","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: 1
The ERCOT ORDC Under-Estimates the LOLP Because of a Misapplication of Normal Distribution Probability Theory 由于误用了正态分布概率论，ERCOT ORDC低估了LOLP
Econometric Modeling: Agriculture Pub Date : 2018-05-18 DOI: 10.2139/ssrn.3180714
Richard Wakeland
{"title":"The ERCOT ORDC Under-Estimates the LOLP Because of a Misapplication of Normal Distribution Probability Theory","authors":"Richard Wakeland","doi":"10.2139/ssrn.3180714","DOIUrl":"https://doi.org/10.2139/ssrn.3180714","url":null,"abstract":"ERCOT’s LOLP is underestimated because it ignores the path reserve level might take over the course of an hour. Some paths reach a reserve level of zero but end up greater than zero. These paths are not included in the LOLP determination even though they would result in a loss of load event during the hour, resulting in an underestimation of LOLP by the methodology.","PeriodicalId":105811,"journal":{"name":"Econometric Modeling: Agriculture","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134286429","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: 4
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信