Influence measurement of rapid urbanization on agricultural production factors based on provincial panel data

2019 ◽  
Vol 67 ◽  
pp. 69-77 ◽  
Author(s):  
Jintao Li ◽  
Yixue Li
Keyword(s):  
Panel Data ◽  
Agricultural Production ◽  
Rapid Urbanization ◽  
Production Factors ◽  
Influence Measurement

scholarly journals Research on the Relationship between Prices of Agricultural Production Factors, Food Consumption Prices, and Agricultural Carbon Emissions: Evidence from China’s Provincial Panel Data

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3136
Author(s):  
Jiaxing Pang ◽  
Xiang Li ◽  
Xue Li ◽  
Xingpeng Chen ◽  
Huiyu Wang
Keyword(s):  
Panel Data ◽  
Food Consumption ◽  
Carbon Emissions ◽  
Agricultural Production ◽  
Food Prices ◽  
Production Factor ◽  
Emissions Reduction ◽  
Production Factors ◽  
Carbon Emissions Reduction ◽  
The Relationship

China is a large agricultural country with a high level of agricultural carbon emissions. Whether market prices can be used in agricultural production as a means of agricultural carbon emissions reduction is of great significance to improve the allocation of agricultural production factors and expand large-scale production. This paper applies an autoregressive distributed lag–pooled mean group(ARDL–PMG) model to evaluate the relationship between agricultural production factor prices, food consumption prices, and agricultural carbon emissions, using Chinese provincial panel data from 1994 to 2018. The results show that agricultural carbon emissions and agricultural production factor prices show environmental Kuznets curve (EKC) characteristics; agricultural carbon emissions and food prices show a U-shaped curve; and agricultural production factors are positively correlated with food price in both directions in the long-term. The results of Granger causality tests show that price is the cause of agricultural carbon emissions; the price of agricultural production factors and the price of food consumption are mutually causal. Such results have implications for price, agriculture, and environmental policies. The analysis implies that the market price can be applied to agricultural carbon reduction, which will help policymakers to implement effective price policies in order to reduce agricultural carbon emissions. One implication is that promoting the marketization of agricultural production factors and reducing price distortions will be conducive to carbon emissions reduction in agriculture, which in turn will increase food consumption prices. Therefore, subsidies are needed at the consumption end, which will eventually achieve further carbon emissions reduction at the production and consumption ends.

On the diversity of the effects of the state support for agriculture

2019 ◽  
pp. 59-73 ◽  
Author(s):  
Nikolai M. Svetlov ◽  
Renata G. Yanbykh ◽  
Dariya A. Loginova
Keyword(s):  
Agricultural Production ◽  
The State ◽  
Russian Regions ◽  
Negative Effects ◽  
State Support ◽  
Soft Budget Constraints ◽  
Institutional Conditions ◽  
Positive Effects ◽  
Production Factors ◽  
Corporate Farms

In this paper, we assess the effects of agricultural state support of corporate farms on their revenues from agricultural production sales in 14 Russian regions that differ in technology, environment and institutional conditions. In addition to the direct effect of the state support, the indirect effects via labor and capital are revealed. For this purpose, we identify production functions and statistical models of production factors for each of these regions separately. We find out diverse effects of the state support on revenues among the regions. Positive effects prevail. Negative effects are mainly caused by labor reductions that follow subsidy inflows. Another cause of negative effects is the soft budget constraints phenomenon.

Can tourism help to revive shrinking cities? An examination of Chinese case

2021 ◽  
pp. 135481662110022
Author(s):  
Taotao Deng ◽  
Shuai Liu ◽  
Yukun Hu
Keyword(s):  
Panel Data ◽  
Population Growth ◽  
Urban Economy ◽  
Tourism Industry ◽  
Shrinking Cities ◽  
Rapid Urbanization ◽  
Positive Effects ◽  
Population Loss ◽  
Chinese Case ◽  
Economic Boom

Urban shrinkage has become a global phenomenon. Although China is still experiencing rapid urbanization, population losses arise in an increasing number of cities. As a booming industry, tourism is expected as a mean to create jobs and curb population loss. Can tourism industry contribute to revive the shrinking cities? Based on panel data of 54 shrinking cities in China, this article explores effects of tourism development on shrinking cities. The results show that there is no evidence that tourism has a significant impact on the population of the shrinking cities. However, tourism shows positive effects on these cities in terms of many aspects, including urban economy, employment, investment, and consumption. This indicates that tourism can revive shrinking cities by economic boom, rather than population growth.

Tools for econometric modeling of agricultural production factors

2021 ◽  
pp. 11-20
Author(s):  
Igor Alexandrovich Katsko ◽  
Alexey Mikhailovich Lyakhovetsky ◽  
Viktor Ivanovich Pertsukhov
Keyword(s):  
Agricultural Production ◽  
Econometric Modeling ◽  
Production Factors

ASSESSMENT OF PRODUCTION FUNCTIONS AND ANALYSIS OF THE IMPACT OF PRODUCTION FACTORS ON THE MAIN INDICATORS AGRICULTURE OF THE REPUBLIC OF DAGESTAN

2020 ◽  
Vol 4 (12) ◽  
pp. 38-42
Author(s):  
N. M. CHAPAEV ◽  
Keyword(s):  
Agricultural Production ◽  
Factor Models ◽  
Production Functions ◽  
Agricultural Enterprises ◽  
Republic Of Moldova ◽  
Production Factors ◽  
Different Types ◽  
The Republic ◽  
The Impact ◽  
The Relationship

This article assesses the relationship and dependence between the main economic indicators of agricultural enterprises of the Ministry of agriculture of the Republic of Moldova for different years, models of production functions of different types are constructed. The parameters and characteristics for two-factor models expressing the dependence of agricultural production on the number of people employed in agriculture are given.

scholarly journals Rainfall Forecasts, Weather, and Wages over the Agricultural Production Cycle

2014 ◽  
Vol 104 (5) ◽  
pp. 278-283 ◽  
Author(s):  
Mark R. Rosenzweig ◽  
Christopher Udry
Keyword(s):  
Panel Data ◽  
Agricultural Production ◽  
Negative Impact ◽  
District Level ◽  
Production Cycle ◽  
Early Season ◽  
Adverse Weather ◽  
Ex Ante ◽  
Agricultural Wages ◽  
Household Panel Data

We look at the effects of rainfall forecasts and realized rainfall on equilibrium agricultural wages over the course of the agricultural production cycle. We show theoretically that a forecast of good weather can lower wages in the planting stage, by lowering ex ante out-migration, and can exacerbate the negative impact of adverse weather on harvest-stage wages. Using Indian household panel data describing early-season migration and district-level planting- and harvest-stage wages over the period 2005-2010, we find results consistent with the model, indicating that rainfall forecasts improve labor allocations on average but exacerbate wage volatility because they are imperfect.

scholarly journals Identifying and Mapping the Responses of Ecosystem Services to Land Use Change in Rapidly Urbanizing Regions: A Case Study in Foshan City, China

2021 ◽  
Vol 13 (21) ◽  
pp. 4374
Author(s):  
Zhuo Wu ◽  
Rubo Zhou ◽  
Ziyao Zeng
Keyword(s):  
Ecosystem Services ◽  
Habitat Quality ◽  
Agricultural Production ◽  
Water Yield ◽  
Rapid Urbanization ◽  
Research Framework ◽  
Response Index ◽  
Spatial Response ◽  
Foshan City

Rapid urbanization has degraded some important ecosystem services and threatens socioeconomic sustainability. Although many studies have focused on the effect of urbanization on ecosystem services, the effect and its threshold have not been well-identified spatially. In this study, we propose a research framework by integrating nighttime light data, the InVEST (Integrated Valuation of Environmental Service and Tradeoffs) model, and a spatial response index to characterize the response of ecosystem services to rapid urbanization. We considered Foshan City as a case study to explore the effect of rapid urbanization on ecosystem services during 2000–2018. Our results showed that rapid urbanization resulted in a 49.13% reduction in agricultural production and a 10.13% reduction in habitat quality. The spatial response index of agricultural production, habitat quality, soil retention, water yield, and carbon sequestration were 14.25%, 2.94%, 0.04%, 0.78%, and 0.07%, respectively. We found that developing urban areas had the highest spatial response index, indicating that this area was the crucial area for future land management. We consider that our research framework can help identify the key areas affected by rapid urbanization. Visualizing the spatial response index and extracting the threshold for different levels of urbanization will be conducive to sustainable urban management and planning.

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