scholarly journals Are Agricultural Commodity Prices on a Conventional Wisdom with Inflation?

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110383
Author(s):  
Ting-Ting Sun ◽  
Chi-Wei Su ◽  
Ran Tao ◽  
Meng Qin

The study investigates the mutual influence between agricultural commodity prices (ACP) and inflation (INF) in China by employing the bootstrap full- and sub-sample rolling-window Granger causality tests. We find that ACP has positive effects on INF, indicating that agricultural commodities play a significant role in stabilizing general price levels, but the higher ACP may create inflationary pressures. However, the negative effects suggest that under the shock of external uncertainty, the rise of ACP is not always regarded as the prime driver of INF. The results are not consistent with Hypothesis 1, which highlights that INF is positively affected by ACP. In turn, we also find positive and negative impacts of INF on ACP, showing that the level of INF can affect the supply and demand of agricultural commodity markets, it can be considered as a factor affecting ACP. The findings support Hypothesis 2 derived from the interaction mechanism. These analyses can assist the Chinese government to understand that ACP is not an effective indicator for forecasting INF. It also can prompt them to pay attention to the transmission effect of price levels on ACP, to maintain the stability of the agricultural commodity market.

2021 ◽  
Author(s):  
Lin William Cong ◽  
Sabrina T. Howell

Public equity is an important source of risk capital, especially in China. The Chinese government has occasionally suspended IPOs, exposing firms already approved to IPO to indeterminate listing delays. The temporary bar on going public increases uncertainty about access to public markets for affected firms. We show that suspension-induced delay reduces corporate innovation activity both during the delay and for years after listing. Negative effects on tangible investment and positive effects on leverage are temporary, consistent with financial constraints during the suspensions being resolved after listing. Our results suggest that predictable, well-functioning IPO markets are important for firm value creation. They demonstrate that corporate innovation is cumulative and is negatively affected by policy uncertainty. This paper was accepted by Gustavo Manso, finance.


2013 ◽  
Vol 664 ◽  
pp. 1166-1170 ◽  
Author(s):  
Yu Hong ◽  
Jia Lin Guan ◽  
Hong Wei Su

This study challenges the traditional wisdom that soaring energy prices exert negative effects upon economic growth. For an industrialized country with very tight energy supply constraints, increasing energy costs may drive the firms to seek for technical change and innovation to compete internationally. Using the Japanese monthly data ranging from 1975 to 2010, this study tests for the assumption of endogenous cost-driven technical change. We identify a long-run equilibrium co-integrating relationship among the Japanese industrial production, energy prices, export volumes and export prices. Although energy prices are negatively associated with Japanese industrial production in static equilibrium, the results of Granger causality tests show that an increase in domestic energy costs has significantly positive effects on Japan’s industrial production as well as on export volumes and prices, in both short-run and long-run. We document that the seemingly paradox strongly suggests an endogenous technological change driven by energy costs in Japan.


2019 ◽  
Vol 11 (6) ◽  
pp. 1790 ◽  
Author(s):  
Jie Liu ◽  
Chao Bi

China is facing challenges to sustainable economic growth. Higher education of Chinese residents can affect total factor productivity (TFP) growth and hence has an influence on economic sustainability. However, currently, there is limited literature on the nexus between higher education and TFP in China. Therefore, this paper empirically analyzes the heterogeneous and spatial effect of higher education on the regional TFP growth using a dynamic spatial econometric model with provincial panel data from 2003 to 2016. The results indicate that different levels of higher education have significant effects on TFP growth and are mainly reflected in the spatial spillover effect. Bachelor and doctoral education (particularly doctoral education) demonstrated significant positive effects, whereas the technical school and master education had significant negative effects. When decomposing this effect into technical efficiency and technical progress to explore the mechanism of influences, the latter plays the major role. Therefore, the Chinese government can promote TFP growth and economic sustainability by expanding the scale of bachelor and doctoral education and improving the quality of technical and master education.


2018 ◽  
Vol 62 (2) ◽  
pp. 97-107 ◽  
Author(s):  
Nina Keith

Abstract. The positive effects of goal setting on motivation and performance are among the most established findings of industrial–organizational psychology. Accordingly, goal setting is a common management technique. Lately, however, potential negative effects of goal-setting, for example, on unethical behavior, are increasingly being discussed. This research replicates and extends a laboratory experiment conducted in the United States. In one of three goal conditions (do-your-best goals, consistently high goals, increasingly high goals), 101 participants worked on a search task in five rounds. Half of them (transparency yes/no) were informed at the outset about goal development. We did not find the expected effects on unethical behavior but medium-to-large effects on subjective variables: Perceived fairness of goals and goal commitment were least favorable in the increasing-goal condition, particularly in later goal rounds. Results indicate that when designing goal-setting interventions, organizations may consider potential undesirable long-term effects.


2016 ◽  
Vol 28 (3) ◽  
pp. 123-135 ◽  
Author(s):  
Raffael Heiss ◽  
Jörg Matthes

Abstract. This study investigated the effects of politicians’ nonparticipatory and participatory Facebook posts on young people’s political efficacy – a key determinant of political participation. We employed an experimental design, using a sample of N = 125 high school students (15–20 years). Participants either saw a Facebook profile with no posts (control condition), nonparticipatory posts, or participatory posts. While nonparticipatory posts did not affect participants’ political efficacy, participatory posts exerted distinct effects. For those high in trait evaluations of the politician presented in the stimulus material or low in political cynicism, we found significant positive effects on external and collective efficacy. By contrast, for those low in trait evaluations or high in cynicism, we found significant negative effects on external and collective efficacy. We did not find any effects on internal efficacy. The importance of content-specific factors and individual predispositions in assessing the influence of social media use on participation is discussed.


2019 ◽  
pp. 59-73 ◽  
Author(s):  
Nikolai M. Svetlov ◽  
Renata G. Yanbykh ◽  
Dariya A. Loginova

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.


1970 ◽  
Vol 17 ◽  
pp. 17-22 ◽  
Author(s):  
Kamal Singh ◽  
A. A. Khan ◽  
Iram Khan ◽  
Rose Rizvi ◽  
M. Saquib

Plant growth, yield, pigment and protein content of cow-pea were increased significantly at lower levels (20 and 40%) of fly ash but reverse was true at higher levels (80 and 100%). Soil amended by 60% fly ash could cause suppression in growth and yield in respect to 40% fly ash treated cow-pea plants but former was found at par with control (fly ash untreated plants). Maximum growth occurred in plants grown in soil amended with 40% fly ash. Nitrogen content of cow-pea was suppressed progressively in increasing levels of fly ash. Moreover,  Rhizobium leguminosarum  influenced the growth and yield positively but Meloidogyne javanica caused opposite effects particularly at 20 and 40% fly ash levels. The positive effects of R. leguminosarum were marked by M. javanica at initial levels. However, at 80 and 100% fly ash levels, the positive and negative effects of R. leguminosarum and/or M. javanica did not appear as insignificant difference persist among such treatments.Key words:  Meloidogyne javanica; Rhizobium leguminosarum; Fly ash; Growth; YieldDOI: 10.3126/eco.v17i0.4098Ecoprint An International Journal of Ecology Vol. 17, 2010 Page: 17-22 Uploaded date: 28 December, 2010  


Author(s):  
Svitlana Ishchuk ◽  
Lyubomyr Sozanskyy

The scale and deep heterogeneity of the national economy of Ukraine in the regional context make the relevance of scientific research in this thematic area. The purpose of the article is to determine the economic specialization of the regions of Ukraine by key economic activities contributing to the formation of gross value added, as well as outlining the potential risks to the national economy, taking into account the situation on world commodity markets. The results of the research showed that one of the consequences of the unstable dynamics of industrial production in Ukraine under the influence of geopolitical and macroeconomic factors is the reduction of industrial specialization of the economy of a number of Ukrainian regions. Thus, in 2017 the manufacturing was the leading economic activity (with the highest share in the gross value added created) in 11 regions, compared to 15 in 2012. So Poltava, Donetsk, Dnipropetrovsk and Zaporizhzhya regions are considered to be “highly industrial”. At the same time, the agrarian specialization of the economy of Ukraine and its regions deepened – in 2017 agriculture became the leading type of economic activity in 11 regions (compared to 7 in 2012). The most “agrarian” in Ukraine (with a share of agriculture in gross value added over 30%) in 2017 became the Kherson, Kirovohrad and Khmelnytsky regions. Increasing the level of “agrarianization” of the national economy in the context of volatility of agricultural commodity prices on the world markets poses significant risks for the socio-economic development of Ukraine and its regions. These risks are exacerbated by the high amplitude of fluctuations in the volume and structure of domestic agricultural products and the low degree of processing of raw materials. To improve the structure of domestic commodity exports (in the direction of increasing its share of products with a higher degree of processing) and to deepen its diversification, a number of measures should be carried out aimed at stimulating export activity of enterprises (industrial and agro-industrial), carrying out technical and technological re-equipment of industrial and export production bases, creation of new high-tech industries on the basis of the implementation of powerful innovation and investment projects.


Author(s):  
Sagar Pathane ◽  
Uttam Patil ◽  
Nandini Sidnal

The agricultural commodity prices have a volatile nature which may increase or decrease inconsistently causing an adverse effect on the economy. The work carried out here for predicting prices of agricultural commodities is useful for the farmers because of which they can sow appropriate crop depending on its future price. Agriculture products have seasonal rates, these rates are spread over the entire year. If these rates are known/alerted to the farmers in advance, then it will be promising on ROI (Return on Investments). It requires that the rates of the agricultural products updated into the dataset of each state and each crop, in this application five crops are considered. The predictions are done based on neural networks Neuroph framework in java platform and also the previous years data. The results are produced on mobile application using android. Web based interface is also provided for displaying processed commodity rates in graphical interface. Agricultural experts can follow these graphs and predict market rates which can be informed to the farmers. The results will be provided based on the location of the users of this application.


2013 ◽  
Vol 5 (11) ◽  
pp. 730-739 ◽  
Author(s):  
Pelin ÖGE GÜNEY

This paper investigates the effects of oil price changes on output and inflation for the case of Turkey using monthly time series data for the period 1990:1–2012:3. Recent studies suggest that oil price changes may have asymmetric effects on the macroeconomic variables. To account for asymmetric effects, we decompose oil price changes into positive and negative parts following Hamilton (1996). Our results show that while oil price increases have clear negative effects on output growth, the impact of oil price decline is insignificant. Similarly, oil price increases have positive and significant effects on inflation. However, oil price declines have not a significant effect on inflation. The Granger causality tests also support these results.


Sign in / Sign up

Export Citation Format

Share Document