Determinants and overuse of pesticides in grain production

2020 ◽  
Vol 12 (2) ◽  
pp. 367-379 ◽  
Author(s):  
Shengyang Sun ◽  
Chao Zhang ◽  
Ruifa Hu
Keyword(s):  
Damage Control ◽  
Equation System ◽  
Agricultural Extension ◽  
Optimal Level ◽  
Policy Implications ◽  
Pesticide Use ◽  
Grain Production ◽  
Content Type ◽  
Extension System ◽  
Pesticide Reduction

Purpose The negative externalities of pesticide overuse increasingly concern the public. However, little empirical evidence has been provided for pesticide overuse and the relationship between the governmental agricultural extension system reforms and pesticide use in grain production from a nationwide perspective. The purpose of this paper is to estimate the productive effect and overuse of pesticides, and it also investigates the effect of the governmental agricultural extension system reforms on pesticide expenditure in rice, maize and wheat production in China. Design/methodology/approach A two-equation system model consisting of an exponential-specific damage-control production function and a pesticide use function is applied to the provincial-level data during the period 1985–2016. Findings While pesticide expenditure significantly increases grain productivity, the actual pesticide expenditure exceeds the economically optimal level. The commercialization reform of the governmental agricultural extension system contributed to the increase in pesticide expenditure. Moreover, the de-commercialization reform of the governmental agricultural extension system plays a limited role in pesticide reduction. Price fluctuations for grain and pesticide also impose significant effects on pesticide expenditure. Originality/value This study has two important policy implications for pesticide reduction in China. It is urgent to specify the functions of the governmental agricultural extension system, and encourage the development of the socialized agricultural technology service. More efforts should also be made to remove the bureaucratic intervention on the pricing mechanism of grain product and pesticide.

scholarly journals Factors associated with farmers’ use of fee-for-service advisors in a privatized agricultural extension system

2021 ◽  
Vol 104 ◽  
pp. 105360
Author(s):  
R. Nettle ◽  
J.M. Morton ◽  
N. McDonald ◽  
M. Suryana ◽  
D. Birch ◽  
...  
Keyword(s):  
Agricultural Extension ◽  
Fee For Service ◽  
Factors Associated ◽  
Extension System

scholarly journals SME credit constraints and access to informal credit markets in Vietnam

2020 ◽  
Vol 47 (6) ◽  
pp. 787-807 ◽  
Author(s):  
Lan Archer ◽  
Parmendra Sharma ◽  
Jen-Je Su
Keyword(s):  
Peer Review ◽  
Credit Markets ◽  
Credit Constraints ◽  
Policy Implications ◽  
Informal Credit ◽  
Banking Services ◽  
Content Type ◽  
Credit Access ◽  
Access Policy ◽  
Correlated Random Effects

PurposeA review of literature has documented that accessing formal credit and other banking services has always been a crucial challenge for small and medium-sized enterprises (SMEs). The alternative, therefore, tends to be informal channels. However, the credit constraint vis-à-vis informal channel link does not appear to be well documented in the literature. This study aims to investigate whether credit constraints significantly affect the probability of accessing informal credit, as well as the credit values of Vietnamese SMEs.Design/methodology/approachThis study uses a trinary approach and correlated random-effects Probit and Tobit techniques to avoid the incidental coefficients problem.FindingsThe results suggest that relative to unconstrained and partially constrained firms, fully constrained firms tend to be more active in the informal credit markets, shown by their higher probability of informal credit access and larger credit values.Originality/valueTo the best of authors’ knowledge, this is the first study on Vietnam that takes a different approach to credit constraints and examines their impact on informal credit access. Policy implications arise and are discussed.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2017-0543

A nonlinear magnetic circuit model for periodic eddy current problems using T,ϕ-ϕ formulation

2017 ◽  
Vol 36 (3) ◽  
pp. 649-664 ◽  
Author(s):  
Rene Plasser ◽  
Gergely Koczka ◽  
Oszkár Bíró
Keyword(s):  
Eddy Current ◽  
Magnetic Circuit ◽  
Iteration Process ◽  
Equation System ◽  
Circuit Model ◽  
Computational Time ◽  
Combined Method ◽  
3D Fem ◽  
Content Type ◽  
Transformer Model

Purpose A transformer model is used as a benchmark for testing various methods to solve 3D nonlinear periodic eddy current problems. This paper aims to set up a nonlinear magnetic circuit problem to assess the solving procedure of the nonlinear equation system for determining the influence of various special techniques on the convergence of nonlinear iterations and hence the computational time. Design/methodology/approach Using the T,ϕ-ϕ formulation and the harmonic balance fixed-point approach, two techniques are investigated: the so-called “separate method” and the “combined method” for solving the equation system. When using the finite element method (FEM), the elapsed time for solving a problem is dominated by the conjugate gradient (CG) iteration process. The motivation for treating the equations of the voltage excitations separately from the rest of the equation system is to achieve a better-conditioned matrix system to determine the field quantities and hence a faster convergence of the CG process. Findings In fact, both methods are suitable for nonlinear computation, and for comparing the final results, the methods are equally good. Applying the combined method, the number of iterations to be executed to achieve a meaningful result is considerably less than using the separated method. Originality/value To facilitate a quick analysis, a simplified magnetic circuit model of the 3D problem was generated to assess how the different ways of solutions will affect the full 3D solving process. This investigation of a simple magnetic circuit problem to evaluate the benefits of computational methods provides the basis for considering this formulation in a 3D-FEM code for further investigation.

Do intraday week effect in currencies hourly trading reflect leverage and asymmetric anomalies? Policy implications for traders

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wajid Shakeel Ahmed ◽  
Muhammad Sohaib ◽  
Jamal Maqsood ◽  
Ateeb Siddiqui
Keyword(s):  
Emerging Economies ◽  
Garch Model ◽  
Study Data ◽  
Policy Implications ◽  
Asymmetric Effect ◽  
Data Set ◽  
Content Type ◽  
Study Results ◽  
Rational Choices ◽  
Trading Pattern

Purpose The purpose of this study is to determine if intraday week (IDW) effect of the currencies reflect leverage and asymmetric impact in currencies market. The study data set comprises of intraday patterns of 15 currencies from developed and emerging economies. Design methodology approach The study applies the exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model technique to observe the IDW leverage and asymmetric effect after introducing hourly dummies variables, namely, IDWmon, IDWwed, IDWfrid and IDWfrid-mon. Findings The study results favor the propositions and confirm that IDW effect do exist in the international forex markets in relation to hourly trading pattern for respective currencies. Mostly, currencies do depreciate on Monday and Wednesday compared to the rest of the days. However, on the last trading day, i.e. Friday currencies observe an appreciation pattern which is for both economies. The results have an evidence of leverage and asymmetric effect confirmed by the E-GARCH model as a result of press releases and influence by micro-factors in the currency markets. Practical implications The study believes to have theoretical connection related to the better understanding of currencies trend for developed and emerging economies, as the IDW effect exists. Moreover, confirmation of both the leverage and asymmetric effect in observed currencies would be able to assist the investors in making rational choices during the trading hours and would confirm considerable profits through profit incentivized strategies. Originality value The study not only add knowledge to the previous study work in relation to the hourly trading pattern of currencies with reference to the IDW effects but also highlights the leverage and asymmetric effect in currencies that will help in formulating future trading strategies particular to emerging economies.

The effect of export tax rebates on product quality: evidence from China's agricultural product processing industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yue Liang ◽  
Jingqi Dang ◽  
Shuai Chen
Keyword(s):  
Quality Improvement ◽  
Product Quality ◽  
Policy Implications ◽  
Medium Size ◽  
Agricultural Product ◽  
Firm Innovation ◽  
Processing Industry ◽  
Content Type ◽  
Export Tax

PurposeThis study aims to establish the linkage among export tax rebate (ETR), firm innovation and product quality of Chinese agricultural product processing industry (APPI), so that more targeted policy implications can be discussed.Design/methodology/approachUsing highly disaggregated firm-product-destination-level data through 2001 to 2013 of Chinese APPI, this study employs a two-way fixed effects specification to establish the linkage between ETR and product quality, while the mediational model is adopted to examine potential mechanisms.FindingsBaseline estimates show that a 1% increase in ETR rate leads to a significant increase in the product quality of APPI by 0.12% on the whole. However, there is a nonlinear, inverse-U shaped relationship between ETR and product quality, and the optimal inflection point occurs when ERT rate equals 0.15. Mechanism analyses show that firm innovation is an important impact channel, which explains 9.8% of quality improvement induced by raising ETR. Further heterogeneous analyses reveal both the total effects of ETR on product quality and the mediation effects of innovation are dominated by young SMEs (small and medium-size enterprises).Practical implicationsAuthorities can promote the innovation and then product quality improvement of young SMEs by moderately increasing ETR rate. To ensure ETR more effective in improving quality, it is necessary for the government to encourage innovation. Authorities can reduce the risk of innovation failure for low-tech firms by increasing R&D subsidies, while ensuring innovation returns for high-tech firms in combination with stronger intellectual property protection.Originality/valueFirst, this is one of the earlier studies to explore the relationship between ETR and product quality specifically for Chinese APPI. Second, we show firm innovation as an important mediator so that policies aim at raising ETR rates are eventually beneficial to product quality. Third, using the highly disaggregated data, we allow ETR rate to vary across different products, which is an improvement in the accuracy of previous literature. Finally, our research provides additional empirical evidence for revealing the micro-mechanism of ETR affecting firm behaviors.

Different firm responses to the COVID-19 pandemic shocks: machine-learning evidence on the Vietnamese labor market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lam Hoang Viet Le ◽  
Toan Luu Duc Huynh ◽  
Bryan S. Weber ◽  
Bao Khac Quoc Nguyen
Keyword(s):  
Machine Learning ◽  
Labor Market ◽  
Large Scale ◽  
Government Support ◽  
Policy Implications ◽  
Machine Learning Techniques ◽  
Firm Characteristics ◽  
Data Set ◽  
Content Type ◽  
Firm Responses

PurposeThis paper aims to identify the disproportionate impacts of the COVID-19 pandemic on labor markets.Design/methodology/approachThe authors conduct a large-scale survey on 16,000 firms from 82 industries in Ho Chi Minh City, Vietnam, and analyze the data set by using different machine-learning methods.FindingsFirst, job loss and reduction in state-owned enterprises have been significantly larger than in other types of organizations. Second, employees of foreign direct investment enterprises suffer a significantly lower labor income than those of other groups. Third, the adverse effects of the COVID-19 pandemic on the labor market are heterogeneous across industries and geographies. Finally, firms with high revenue in 2019 are more likely to adopt preventive measures, including the reduction of labor forces. The authors also find a significant correlation between firms' revenue and labor reduction as traditional econometrics and machine-learning techniques suggest.Originality/valueThis study has two main policy implications. First, although government support through taxes has been provided, the authors highlight evidence that there may be some additional benefit from targeting firms that have characteristics associated with layoffs or other negative labor responses. Second, the authors provide information that shows which firm characteristics are associated with particular labor market responses such as layoffs, which may help target stimulus packages. Although the COVID-19 pandemic affects most industries and occupations, heterogeneous firm responses suggest that there could be several varieties of targeted policies-targeting firms that are likely to reduce labor forces or firms likely to face reduced revenue. In this paper, the authors outline several industries and firm characteristics which appear to more directly be reducing employee counts or having negative labor responses which may lead to more cost–effect stimulus.

How does ownership structure affect the financing and dividend decisions of firm?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tahar Tayachi ◽  
Ahmed Imran Hunjra ◽  
Kirsten Jones ◽  
Rashid Mehmood ◽  
Mamdouh Abdulaziz Saleh Al-Faryan
Keyword(s):  
Ownership Structure ◽  
Dividend Policy ◽  
Generalized Method Of Moments ◽  
Institutional Ownership ◽  
Agency Cost ◽  
Debt Financing ◽  
Policy Implications ◽  
Managerial Ownership ◽  
Content Type ◽  
The Impact

Purpose Ownership structure deals with internal corporate governance mechanism, which plays important role in minimizing conflict of interests between shareholders and management Ownership structure is an important mechanism that influences the value of firm, financing and dividend decisions. This paper aims to examine the impact of the ownership structures, i.e. managerial ownership, institutional ownership on financing and dividend policy. Design/methodology/approach The authors use panel data of manufacturing firms from both developed and developing countries, and the generalized method of moments (GMM) is applied to analyze the results. The authors collect the data from DataStream for the period of 2010 to 2019. Findings The authors find that managerial ownership and ownership concentration have significant and positive effects on debt financing, but they have significant and negative effects on dividend policy. Institutional ownership shows a positive impact on financing decisions and dividend policy for sample firms. Originality/value This study fills the gap by proving the policy implications for both firms and investors, as managers prefer debt financing, but at the same time try to ignore dividend payment. Therefore, investors may not invest in firms with a higher proportion of managerial ownership and may choose to invest more in institutional ownership, which lowers the agency cost.

Cops and COVID: an examination of California officers' perceptions and experiences while policing during a pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
John Shjarback ◽  
Obed Magny
Keyword(s):  
Police Officers ◽  
Online Survey ◽  
Ordinary Least Squares ◽  
Point Of View ◽  
Policy Implications ◽  
Organizational Level ◽  
Sensitive Information ◽  
Content Type ◽  
Police Agencies ◽  
Police Executives

PurposeUsing online survey data from a sample of 440 police officers in California throughout May 2020, the current study collected time-sensitive information on officers' perceptions and departmental experiences in the wake of the pandemic. It examined officers' perceptions of agency responsivity as well as their perceptions of morale, stress and risk following agency responses and changes in policy patterns, service delivery innovations and other administrative challenges.Design/methodology/approachCOVID-19 had a tremendous impact on the law enforcement community, who continued to work and adapt in order to provide public safety. During the first few months of the pandemic, a number of national data collection efforts set out to understand what police agencies, at the organizational-level, were doing to address the crisis. Largely missing from these initial discussions were the perspectives of individual officers, particularly how they felt about their respective departments ensuring safety and balancing risk.FindingsResults from ordinary least squares (OLS) regressions found that the number of departmental changes made in the wake of COVID-19 that reduced police–public contact was associated with (1) increased levels of perceived agency responsivity to officer needs (i.e. balancing officer safety, taking active steps to maintain officers' mental health) and (2) reduced levels of perceived negative outlook (e.g. stress, low morale, danger/risk). Policy implications and the importance of police executives' decisions during crisis are discussed.Originality/valueThis study is one of the first, to the authors’ knowledge, to examine perceptions of policing during the pandemic from an individual officer point of view rather than an organizational standpoint.

Financial literacy and its determinants: the case of rural farm households in Ghana

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Salina Adhikari ◽  
Caven Adu Gyamfi ◽  
Isaac Asare
Keyword(s):  
Developing Countries ◽  
Financial Literacy ◽  
Financial Education ◽  
Policy Implications ◽  
Farm Households ◽  
Community Group ◽  
Data Set ◽  
Content Type ◽  
Wide Range ◽  
Rural Dwellers

PurposeThis paper aims to examine the determinants of rural dwellers financial literacy in Ghana.Design/methodology/approachA cross-sectional primary data set was used to estimate the factors influencing rural farm households' financial literacy using the IV-Tobit model.FindingsThe findings reveal that most rural residents are financially illiterate. The econometrics model results depicted that respondents' socioeconomic and demographic characteristics such as gender, income, age and education significantly affect financial literacy. Again, respondents who are risk seekers and listen or watch education programs are more likely to be financially literate.Research limitations/implicationsThe paper examined the determinants of rural dwellers financial literacy in four regions in Ghana. Future research should consider all or many regions for an informed generalization of findings.Practical implicationsThis paper provides evidence that rural dwellers are financially illiterate and it would require the policymakers or non-governmental organizations (NGOs) to establish a village or community group that comprises a wide range of bankers and government officials to help rural dwellers acquire some financial skills. Also, the positive relationship between media (whether respondent watches or listens to educational programs) and financial literacy implies that policymakers should focus on improving individuals' financial knowledge through training programs and utilize the media as a channel to propagate financial education to the public.Originality/valueAlthough previous studies have examined the determinants of financial literacy, little is known in developing countries and, in particular, rural communities. The authors fill this gap by contributing to the scanty existing literature in developing countries in several ways. First, this is the first study to examine the financial literacy level of rural dwellers in Ghana. Second, to not undermine the credibility of the estimation results, this study addresses the potential endogeneity issue, which other researchers have not adequately recognized. Finally, the study expands the scant literature on the subject and provides critical policy implications that will help policymakers formulate financial market policies that will contribute to rural dwellers financial literacy enhancement.

ENHANCEMENT OF YOUTH INVOLVEMENT IN AGRICULTURAL EXTENSION ADVISORY SERVICES THROUGH CAPACITY BUILDING: A SOLUTION TO UNEMPLOYMENT IN NIGERIA

2021 ◽  
pp. 22-30
Keyword(s):  
Agricultural Sector ◽  
Capacity Development ◽  
White Collar ◽  
Agricultural Extension ◽  
African Countries ◽  
Tertiary Institutions ◽  
Advisory Services ◽  
Extension System ◽  
The Subject ◽  
Sub Saharan

The unemployment rate in Nigeria and other Sub Saharan African countries keep surging year after year despite the need for human resources in several sectors. Nigeria records a large number of young graduates from tertiary institutions most of whom find it difficult to get white collar jobs. Despite this ongoing, human resource which is needed for economic development remains under exploited. Young people have a sense of responsibility which makes it easy for them to take up opportunities that will lead to individual and societal development. Unemployed youths who have interest in agriculture and the extension system can be recruited into this sector to achieve sustainable agricultural and rural development in these areas. Capacity development is essential in this scenario to absorb these group of people into the agricultural sector, thus, reducing employment rate. Unqualified young persons can carry out the functions or duties of agricultural extension advisory services if their technical and knowledge skills in line with the subject matter is developed.

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