ERN: Other Econometrics: Applied Econometric Modeling in Agriculture最新文献

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Governance, Vulnerability to Climate Change, and Green Growth: International Evidence 治理、气候变化脆弱性和绿色增长:国际证据
ERN: Other Econometrics: Applied Econometric Modeling in Agriculture Pub Date : 2016-11-08 DOI: 10.2139/ssrn.2894763
Ha Thai Le, Youngho Chang, Donghyun Park
{"title":"Governance, Vulnerability to Climate Change, and Green Growth: International Evidence","authors":"Ha Thai Le, Youngho Chang, Donghyun Park","doi":"10.2139/ssrn.2894763","DOIUrl":"https://doi.org/10.2139/ssrn.2894763","url":null,"abstract":"We examine the role of governance and vulnerability to climate change in green growth using a global panel data set of 122 countries in 2000‒2012. We find that, as expected, governance has a positive effect on environmental performance and vulnerability to climate change has a negative effect. This suggests that promoting good governance and reducing climate change vulnerability can contribute to a cleaner environment. We find qualitatively similar results for the subsample of high-income countries, but governance does not have a significant effect for the subsamples of upper-middleincome, lower-middle-income, and low-income countries. One possible interpretation is that high-income countries have environmental policies which are strong enough to protect the environment, whereas other countries have relatively weak environmental policies which need to be strengthened.","PeriodicalId":403142,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Agriculture","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122074967","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: 5
Designing Nonlinear Price Schedules for Urban Water Utilities to Balance Revenue and Conservation Goals 设计城市供水系统的非线性价格表以平衡收益和节约目标
F. Wolak
{"title":"Designing Nonlinear Price Schedules for Urban Water Utilities to Balance Revenue and Conservation Goals","authors":"F. Wolak","doi":"10.3386/W22503","DOIUrl":"https://doi.org/10.3386/W22503","url":null,"abstract":"This paper formulates and estimates a household-level, billing-cycle water demand model under increasing block prices that accounts for the impact of monthly weather variation, the amount of vegetation on the household’s property, and customer-level heterogeneity in demand due to household demographics. The model utilizes US Census data on the distribution of household demographics in the utility’s service territory to recover the impact of these factors on water demand. An index of the amount of vegetation on the household’s property is obtained from NASA satellite data. The household-level demand models are used to compute the distribution of utility-level water demand and revenues for any possible price schedule. Knowledge of the structure of customer-level demand can be used by the utility to design nonlinear pricing plans that achieve competing revenue or water conservation goals, which is crucial for water utilities to manage increasingly uncertain water availability yet still remain financially viable. Knowledge of how these demands differ across customers based on observable household characteristics can allow the utility to reduce the utility-wide revenue or sales risk it faces for any pricing plan. Knowledge of how the structure of demand varies across customers can be used to design personalized (based on observable household demographic characteristics) increasing block price schedules to further reduce the risk the utility faces on a system-wide basis. For the utilities considered, knowledge of the customer-level demographics that predict demand differences across households reduces the uncertainty in the utility’s system-wide revenues from 70 to 96 percent. Further reductions in the uncertainty in the utility’s system-wide revenues in the, range of 5 to 15 percent, are possible by re-designing the utility’s nonlinear price schedules to minimize the revenue risk it faces given the distribution of household-level demand in its service territory.","PeriodicalId":403142,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Agriculture","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132287814","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: 13
Estimating Path Dependence in Energy Transitions 估计能量跃迁中的路径依赖
Kyle C. Meng
{"title":"Estimating Path Dependence in Energy Transitions","authors":"Kyle C. Meng","doi":"10.3386/W22536","DOIUrl":"https://doi.org/10.3386/W22536","url":null,"abstract":"How can an economy transition from dirty to clean inputs? When transitional dynamics exhibit strong path dependence, a temporary shock to input composition can trigger permanent structural change. This paper examines whether such dynamics characterize the U.S. energy sector’s use of coal - the most climate-damaging energy input - over the 20th century. Exploiting local coal transport distance shocks driven by the changing regional accessibility of subsurface coal resources, I find increasing imbalance in the coal composition of electricity capital lasting ten decades following a shock. Additional tests detect increasing returns to scale as the underlying mechanism. To inform energy transitions more broadly, I develop a model of scale-driven structural change to map reduced-form estimates onto a key parameter found across a class of structural change models. Calibrated model simulations further characterize conditions under which a temporary climate policy can trigger a permanent future transition towards clean energy.","PeriodicalId":403142,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Agriculture","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128365810","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: 12
Does Land Lease Tenure Insecurity Cause Decreased Productivity and Investment in the Sugar Industry? Evidence from Fiji 土地租赁权不安全导致制糖业生产力和投资下降吗?来自斐济的证据
ERN: Other Econometrics: Applied Econometric Modeling in Agriculture Pub Date : 2016-07-01 DOI: 10.1111/1467-8489.12133
Reshmi Kumari, Y. Nakano
{"title":"Does Land Lease Tenure Insecurity Cause Decreased Productivity and Investment in the Sugar Industry? Evidence from Fiji","authors":"Reshmi Kumari, Y. Nakano","doi":"10.1111/1467-8489.12133","DOIUrl":"https://doi.org/10.1111/1467-8489.12133","url":null,"abstract":"Does land lease tenure insecurity cause decreased productivity and investment in the sugar industry? To answer this question, the present study examined the impact of weak formal tenure lease arrangements on tenants Einvestment and the productivity of sugarcane in Ba province, Fiji. After controlling for potential endogeneity in the choice of lease tenure using instrumental variables (IV), it was shown that tenants under insecure lease tenure (expiring in 0 E years) achieve significantly lower yields of sugarcane, by 9 E1 tonnes per hectare, and plant smaller areas of new sugarcane, by 0.19 E.25 hectares on average, than do tenants under secure lease tenure. Insecure lease tenure also negatively affects chemical fertilizer use, although this impact is not statistically significant. An intervention to improve tenure security would likely enhance the production efficiency of and investment in the Fijian sugarcane industry.","PeriodicalId":403142,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Agriculture","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"119689301","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: 14
Oil Price Volatility and Fiscal Policies in Oil‐Exporting Countries 石油出口国的油价波动与财政政策
ERN: Other Econometrics: Applied Econometric Modeling in Agriculture Pub Date : 2016-06-01 DOI: 10.1111/opec.12074
I. Alley
{"title":"Oil Price Volatility and Fiscal Policies in Oil‐Exporting Countries","authors":"I. Alley","doi":"10.1111/opec.12074","DOIUrl":"https://doi.org/10.1111/opec.12074","url":null,"abstract":"The meteoric decline in oil price in late 2014, a manifestation of crude oil price volatility, pressured the fiscal positions of many oil‐exporting countries (OECs). This study examined the relationship between oil price volatility and OECs’ fiscal policy [proxied by primary fiscal balance (PFB)] responses. It estimated a small open‐economy aggregate demand model in which oil price is externally determined. Using various measures of oil price volatility in a vector error correction (VEC) model, this study established that fiscal policies in OEC were not procyclical but driven by oil price volatility. Oil price volatility reduced PFB in the short run. In the long run however, PFB rose in response to price volatility, suggesting that OECs’ governments eventually consolidate their fiscal positions to reduce short‐run fiscal deficit induced by oil price volatility. Though their fiscal policies were pressured in the short run, OECs were able to stabilise their fiscal dynamics in the long run.","PeriodicalId":403142,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Agriculture","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127375778","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: 13
Impacts of Oil Price, Exchange Rate and Inflation on the Economic Activity of Malaysia 石油价格、汇率和通货膨胀对马来西亚经济活动的影响
ERN: Other Econometrics: Applied Econometric Modeling in Agriculture Pub Date : 2016-06-01 DOI: 10.1111/opec.12073
Mohammed Mahmoud Mantai, Fardous Alom
{"title":"Impacts of Oil Price, Exchange Rate and Inflation on the Economic Activity of Malaysia","authors":"Mohammed Mahmoud Mantai, Fardous Alom","doi":"10.1111/opec.12073","DOIUrl":"https://doi.org/10.1111/opec.12073","url":null,"abstract":"The purpose of this study is to examine the short and long‐run impacts of crude oil price (CP), exchange rate (EXR) and inflation (CPI) on the economic activity (GDP) of Malaysia within the framework of the vector error correction model (VECM). The results suggest that CP positively affects GDP in the short‐run and the tests do not identify any significant impacts of EXR and CPI on the GDP. However, all these variables maintain a long‐run relationship with GDP. The causality tests have shown unidirectional Granger causality that run from CP to GDP and not from EXR and CPI to GDP. The findings of this study are expected to provide insights for practitioners and policy makers to understand the impacts of the CP shocks and its spillovers in the economic activity of Malaysia.","PeriodicalId":403142,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Agriculture","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126551091","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: 3
A Space-Time Random Field Model for Electricity Forward Prices 电力远期价格的时空随机场模型
ERN: Other Econometrics: Applied Econometric Modeling in Agriculture Pub Date : 2016-05-23 DOI: 10.2139/ssrn.2783296
F. Benth, Florentina Paraschiv
{"title":"A Space-Time Random Field Model for Electricity Forward Prices","authors":"F. Benth, Florentina Paraschiv","doi":"10.2139/ssrn.2783296","DOIUrl":"https://doi.org/10.2139/ssrn.2783296","url":null,"abstract":"Stochastic models for forward electricity prices are of great relevance nowadays, given the major structural changes in the market due to the increase of renewable energy in the production mix. In this study, we derive a spatio-temporal dynamical model based on the Heath-Jarrow-Morton (HJM) approach under the Musiela parametrization, which ensures an arbitrage-free model for electricity forward prices. The model is fitted to a unique data set of historical price forward curves. As a particular feature of the model, we disentangle the temporal from spatial (maturity) effects on the dynamics of forward prices, and shed light on the statistical properties of risk premia, of the noise volatility term structure and of the spatio-temporal noise correlation structures. We find that the short-term risk premia oscillates around zero, but becomes negative in the long run. We identify the Samuelson effect in the volatility term structure and volatility bumps, explained by market fundamentals. Furthermore we find evidence for coloured noise and correlated residuals, which we model by a Hilbert space-valued normal inverse Gaussian Levy process with a suitable covariance functional.","PeriodicalId":403142,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Agriculture","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121236770","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: 19
How Do Land Markets Anticipate Regulatory Change? Evidence from Canadian Conservation Policy 土地市场如何预测监管变化?来自加拿大保护政策的证据
ERN: Other Econometrics: Applied Econometric Modeling in Agriculture Pub Date : 2016-05-04 DOI: 10.2139/ssrn.2783317
Branko Bošković, Linda Nøstbakken
{"title":"How Do Land Markets Anticipate Regulatory Change? Evidence from Canadian Conservation Policy","authors":"Branko Bošković, Linda Nøstbakken","doi":"10.2139/ssrn.2783317","DOIUrl":"https://doi.org/10.2139/ssrn.2783317","url":null,"abstract":"Regulation often evolves, and affected consumers or firms may adjust their behavior in anticipation of potential changes to regulation. Using shifting land use regulation boundaries and oil lease prices from Canada, we estimate the effect of anticipated regulatory change on the value of land. We find that anticipated rezoning decreases the price of unregulated leases. Based on our estimates, not accounting for anticipation underestimates the total cost of the regulation by nearly one-third. Overall, the evidence suggests that anticipation effects are significant and that the cost of anticipated regulation is capitalized into land values.","PeriodicalId":403142,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Agriculture","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124959691","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: 14
Estimation of Climate Change Damage Functions for 140 Regions in the GTAP9 Database GTAP9数据库140个地区气候变化损害函数估算
ERN: Other Econometrics: Applied Econometric Modeling in Agriculture Pub Date : 2016-03-03 DOI: 10.2139/ssrn.2742053
R. Roson, M. Sartori
{"title":"Estimation of Climate Change Damage Functions for 140 Regions in the GTAP9 Database","authors":"R. Roson, M. Sartori","doi":"10.2139/ssrn.2742053","DOIUrl":"https://doi.org/10.2139/ssrn.2742053","url":null,"abstract":"Climate change damage (or, more correctly, impact) functions relate variations in temperature (or other climate variables) to economic impacts in various dimensions, and are at the basis of quantitative modeling exercises for the assessment of climate change policies. This document provides a summary of results from a series of meta-analyses aimed at estimating parameters for six specific damage functions, referring to: sea level rise, agricultural productivity, heat effects on labor productivity, human health, tourism flows, and households' energy demand. All parameters of the damage functions are estimated for each of the 140 countries and regions in the Global Trade Analysis Project 9 data set. To illustrate the salient characteristics of the estimates, the change in real gross domestic product is approximated for the different effects, in all regions, corresponding to an increase in average temperature of +3°C. After considering the overall impact, the paper highlights which factor is the most significant one in each country, and elaborates on the distributional consequences of climate change.","PeriodicalId":403142,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Agriculture","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116173969","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: 70
Blending Under Uncertainty: Option Value of Biofuels Mandates 不确定性下的混合:生物燃料授权的选择价值
ERN: Other Econometrics: Applied Econometric Modeling in Agriculture Pub Date : 2016-02-12 DOI: 10.2139/ssrn.2731729
Hamed Ghoddusi
{"title":"Blending Under Uncertainty: Option Value of Biofuels Mandates","authors":"Hamed Ghoddusi","doi":"10.2139/ssrn.2731729","DOIUrl":"https://doi.org/10.2139/ssrn.2731729","url":null,"abstract":"The value of a representative ethanol producer that benefits from both low and high gasoline prices is modeled. Ethanol producers make a modest competitive profit in the mandate-induced region of production. A low price of gasoline increases the demand for blend ethanol and consequently increases the profit of ethanol producers. On the other hand, when gasoline becomes costlier than ethanol, the capacity constraints of the biofuels sector bind and ethanol producers gain large quasi-monopoly margins. This is an interesting example of a market where two commodities are complement up to a point and then substitute after that. We postulate the value of an ethanol producer as a strangle option consisting of two real options: the option to substitute gasoline at times of expensive crude oil and the option to expand supply of blend at times of cheap gasoline. Using a dynamic model we show that the higher volatilities of crude oil and ethanol costs increase biofuels firms' value. We also find non-monotonic relationships between the value of an ethanol plant and several underlying variables, including gasoline price level. We estimate the value provided by a 10% blend mandate to be around $150,000,000 for a representative ethanol unit. Our results offer a novel view of oil and feedstock price risks in contrast to the common belief that considers those risks as a negative factor for the biofuels sector.","PeriodicalId":403142,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Agriculture","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130926857","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
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