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学术前沿 | 近期国际农经核心期刊对中国问题的研究

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Agricultural Economics

2020年《Agricultural Economics》的影响因子为2.585,在经济学期刊中排名第123。 

《Agricultural Economics》2021年上半年共出版4期(Volume 52, Issue 1~Volume 52, Issue 4),总计41篇文章,其中与中国相关的共有4篇

Impacts of agricultural price support policy on price variability and welfare: Evidence from China's soybean market

Volume 52, Issue 1

  • 作者: Wang Wenting; Wei Longbao
  • 作者背景: China Academy for Rural Development, Zhejiang University ; Department of Economics and Center for Agricultural and Rural Development (CARD) Iowa State University

Abstract:China is a predominant soybean importer; thus, its domestic soybean policies have a large impact on world soybean market dynamics. We develop the first aggregate structural econometric model of China's soybean market and link it to the rest of the world (ROW), which allows us to analyze the impacts of China's soybean price support policy that ran from 2008 to 2013. We investigate the impacts of China's policy on the variability of their domestic and world soybean prices, and adopt a Monte Carlo simulation to evaluate the effects on distributional and aggregate welfare. Our results indicate: (a) after China's soybean price support policy, price transmission elasticity decreases, China's domestic price variability decreases, and world price variability increases; (b) China's producer surplus increases, consumer surplus decreases and the net welfare change in their domestic market is negative; and (c) although soybean exporting countries in the ROW experience significant welfare gains, the world net welfare change is negative.

Key Words:agricultural price support policy; China; price variability; soybean; welfare

Drivers of food price in China: A heterogeneous panel SVAR approach

Volume 52, Issue 1

  • 作者: Wu Xiangjun; Xu Juan
  • 作者背景: School of Economics Hangzhou Dianzi University ; School of Statistics and Mathematics Zhongnan University of Economics and Law

Abstract:In this paper, we examine the effects of shocks in agricultural output, production material price and production price on China's food price using panel data of 26 provinces for the period 2004 Q1–2015 Q4. Employing a heterogeneous panel structural vector autoregressive (SVAR) model, we identify the causal flows between the endogenous variables via directed acyclic graphs method. The empirical results from impulse response functions and variance decompositions suggest sizeable cross‐province variations. The main driving force of food price is the price inertia shock, rather than the agricultural output or the vertical chain of price transmission shocks. The findings support the view that price expectation is the key shifter of food price. Moreover, the shocks in the vertical chain of price transmission are only weakly linked to food price. Our findings are robust to an alternative panel SVAR model identified via Cholesky decomposition.

Key Words:directed acyclic graphs; heterogeneous panel SVAR; impulse response function; variance decomposition

The urban–rural gap in the demand for food safety in China: The role of food label knowledge

Volume 52, Issue 2

  • 作者:Satoru Shimokawa, Dezhuang Hu, Dandan Li, Hong Cheng
  • 作者背景: School of Political Science and Economics Waseda University ; School of Economics Zhongnan University of Economics and Law ; Institute of Quality Development Strategy Wuhan University

Abstract:Despite the national promotion of food safety measures, a substantial urban–rural gap remains in the demand for food safety in China. To explain this gap, we explore the role of knowledge of food safety labels. We measure demand using the marginal willingness to pay (MWTP) for the green food label and the organic food label for rice and pork in urban and rural areas. We employ discrete choice experiments and the control function approach to control for potential endogeneity problems. The results show that the MWTP for the labels is significantly positive among people with label knowledge but insignificant or even negative among people without label knowledge, and the urban–rural gap in the MWTP is larger among the former than among the latter. These knowledge-related differences explain 8–29% of the urban–rural gap in the MWTP for the green food label. Our findings imply that improving knowledge about the green food label could potentially be effective in reducing the urban–rural gap, while our results also imply the existence of a future challenge for the government in promoting label knowledge more effectively in rural China.

Key Words:China; food label; food quality; label knowledge; urban–rural gap

Health, economic, and social implications of COVID-19 for China's rural population

Volume 52, Issue 3

  • 作者: Wang Huan; Dill SarahEve; Zhou Huan; Ma Yue; Xue Hao; Sylvia Sean; Smith Kumi; Boswell Matthew; Medina Alexis; Loyalka Prashant; Abby Cody; Friesen Dimitris; Rose Nathan; Guo Yian; Rozelle Scott
  • 作者背景: Gillings School of Global Public Health University of North Carolina at Chapel Hill North Carolina USA.; University of Minnesota Minneapolis Minnesota USA.; Stanford Center on China's Economy and Institutions Stanford University Stanford California USA.; West China School of Public Health Sichuan University Sichuan P.R. China.

Abstract:This study examines the effects of local and nationwide COVID-19 disease control measures on the health and economy of China's rural population. We conducted phone surveys with 726 randomly selected village informants across seven rural Chinese provinces in February 2020. Four villages (0.55%) reported infections, and none reported deaths. Disease control measures had been universally implemented in all sample villages. About 74% of informants reported that villagers with wage-earning jobs outside the village had stopped working due to workplace closures. A higher percentage of rural individuals could not work due to transportation, housing, and other constraints. Local governments had taken measures to reduce the impact of COVID-19. Although schools in all surveyed villages were closed, 71% of village informants reported that students were attending classes online. Overall, measures to control COVID-19 appear to have been successful in limiting disease transmission in rural communities outside the main epidemic area. Rural Chinese citizens, however, have experienced significant economic consequences from the disease control measures.

Key Words :COVID‐19; disease control measures; economic implications; rural China

Journal of Environmental Economics and Management

2020年《Journal of Environmental Economics and Management》的影响因子为4.624,在经济学期刊中排名第47。

《Journal of Environmental Economics and Management》2021年上半年共有5期(Volume 105 ~Volume 109),总计69篇文章,其中与中国相关的共有2篇

Greening the career incentive structure for local officials in China: Does less pollution increase the chances of promotion for Chinese local leaders?

Volume 107

  • 作者: Wu Mingqin; Cao Xun
  • 作者背景: South China Research Center for Market Economy, Regional Economic Research Center, School of Economics and Management, South China Normal University, China; Department of Political Science and School of Public Policy, Pennsylvania State University, USA

Abstract:Does it pay to be “greener” as a local official in China? In this paper, we examine the effect of local environment regulation outcomes, i.e., local pollution, on leaders' chances of promotion. This is an important question because only when the Chinese cadre evaluation system rewards local officials’ green behaviors, these officials would move away from their past priority in promoting economic growth at all costs, so that the environmental crisis in China might be addressed. We collect party secretary data for Chinese counties between 2001 and 2014 to measure promotion patterns. We construct county-year SO2 and PM2.5 pollution measures using NASA satellite data. We adopt an instrumental variable approach to deal with potential endogeneity issues of the pollution variables: for both PM 2.5 and SO2, we use ventilation coefficient, i.e., the product of wind speed and mixing layer height, as the instrument. Our empirical analysis shows that for county party secretaries, those who are able to reduce air pollution are more likely to be promoted. We find similar results for county magistrates. However, we do not find evidence for this pollution-promotion link for prefecture and provincial party secretaries.

Key Words :Pollution; Career incentive structure; Local leader promotion; China

Impact of temperature on morbidity: New evidence from China

Volume 109

  • 作者: Agarwal Sumit; Qin Yu; Shi Luwen; Wei Guoxu; Zhu Hongjia
  • 作者背景: School of Business, and School of Arts and Social Science, National University of Singapore, Singapore; Department of Real Estate, National University of Singapore, Singapore; Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, and International Research Center for Medicinal Administration, Peking University, China; Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, China; Institute for Economic and Social Research, Jinan University, China

Abstract:This paper investigates the relationship between temperature and hospitalization in China. Using inpatient visit claims of two major public insurance schemes covering 47 cities in 28 provinces for three years, we see a 7.3% increase in hospital admissions on days on which the average temperature is above 27 °C, and a 2% increase in 31-day cumulative hospital admissions relative to a benchmark-temperature day in the subsequent weeks. Such an effect is much larger than evidence from developed economies. Using detailed information on medical bills, we calculate that an additional hot day nationwide is associated with approximately 2 billion yuan (roughly equivalent to 0.3 billion US dollars) increase in medical expenses that are related to inpatient services, 1.9 billion yuan (roughly equivalent to 0.29 billion US dollars) of which is borne by the public insurance system, and 0.2 billion yuan (roughly equivalent to 0.01 billion US dollars) of which is borne by the insured.

Key Words :Climate change; Morbidity costs; Extreme temperature; China;



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