scholarly journals Resource Allocation Effect of Green Credit Policy: Based on DID Model

Mathematics ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 159
Author(s):  
Guangyou Zhou ◽  
Chen Liu ◽  
Sumei Luo

From the perspective of the policy impact effect, this paper takes green enterprises as the treatment group and polluters as the control group. Firstly, the double difference method (DID) was adopted to study the effect of green credit policy on enterprises from two aspects, namely the amount of loans obtained by enterprises and the financing cost. The study found that in terms of loan volume, the launch of “Green Credit Guidelines” enabled green enterprises to obtain more credit resources than polluters. In terms of financing cost, green credit policy means green enterprises obtain lower financing cost than polluters. The triple difference method is further used to test the impact of green Credit Guidelines on the access to credit resources and financing costs of enterprises. The results show that for enterprises with different property rights, the effect of green credit policy on non-state-owned enterprises is more significant than that of state-owned enterprises. For enterprises in different regions, the policy effect of green credit policy on enterprises in regions with relatively backward economic development levels is more significant than that of enterprises in regions with relatively developed economic development level. From the empirical results, the policy basically realized the original intention of directing credit resources to green enterprises and realized the Pareto improvement of financial resource allocation.

Author(s):  
Zhifeng Zhang ◽  
Hongyan Duan ◽  
Shuangshuang Shan ◽  
Qingzhi Liu ◽  
Wenhui Geng

This article uses the “Green Credit Guidelines” promulgated in 2012 as an example to construct a quasi-natural experiment and uses the double difference method to test the impact of the implementation of the “Green Credit Guidelines” on the green innovation activities of heavy-polluting enterprises. The study found that, in comparison to non-heavy polluting enterprises, the implementation of green credit policies inhibited the green innovation of all heavy-polluting enterprises. In the analysis of heterogeneity, this restraint effect did not differ significantly due to the nature of property rights and the company’s size. The mechanism test showed that green credit policy limits the efficiency of business investment and increases the cost of financing business debt. Eliminating corporate credit financing, particularly long-term borrowing, negatively impacts the green innovation behavior of listed companies.


2017 ◽  
Vol 4 (2) ◽  
pp. 205316801771364 ◽  
Author(s):  
Nathan M. Jensen

Economic development incentives target individual firms for financial or non-financial benefits to induce capital investment or job creation. Previous studies have found a mixed impact of incentives on economic development, with numerous studies pointing to no impact of incentives on economic growth or job creation. I add to this literature by analyzing two different state economic development incentive programs using the same methods and time-period, allowing for direct comparability. My analysis is the first, “pre-registered” study of incentives, where all of the data collection, design and methodological decisions were made and documented prior to receiving the data. Using a pre-registered matching method design, I estimate the impact of Maryland and Virginia’s flagship economic development incentives on job creation. My main finding is that these incentive programs had essentially zero impact on job creation when they are compared to a control group of similar firms. My secondary results find that even after removing firms from the analysis that were subject to “clawbacks” based on non-compliance with the incentive agreement do not improve the overall performance of the program.


2019 ◽  
Vol 80 (1) ◽  
pp. 91-109 ◽  
Author(s):  
Ralph Essem Nordjo ◽  
Charles K.D. Adjasi

Purpose The purpose of this paper is to evaluate the impact of access to production credit on the productivity of smallholder farmers. Design/methodology/approach Data for the study were drawn from the Agricultural Value Chain Facility (AVCF), which was implemented in the Northern Region of Ghana. This paper uses the Propensity Score Matching (PSM) to estimate the average treatment effect of access to production credit on the productivity of smallholder farmers. The rationale for the choice of this estimation technique is to control for selection bias since the treatment variable (access to production credit) was not randomised. The authors also test for the effect of hidden bias using “Rosenbaum bounds” sensitivity analysis. The study uses two control groups to examine the net effect of credit on productivity. Findings The results reveal that smallholder farmers with access to production credit increased productivity through investment in farm inputs. For the impact of credit on productivity using control Group 1, the result shows that farmers with access to credit increased their productivity by 0.170 metric tonnes per hectare and for control Group 2, the result shows an increase of 0.252 metric tonnes per hectare more than farmers who are without access to production credit. Practical implications The evidence as provided by this paper is that access to production credit is significant to meet the credit needs of smallholder farmers and therefore contributes to the policy debate on whether access to credit has impact on the productivity of smallholder farmers. Originality/value The paper shows the importance of production credit in augmenting the production function of smallholder farmers.


Author(s):  
Harpreet Kaur ◽  
Gurusharan Kaur

Micro finance is an essential pre-condition for sustainable economic development. The process of provision of financial services has been gaining importance for the overall economic development of the country. Micro finance became alternative source of loans to the poor people with the goal of creating financial inclusion and equality. Informal sector constitute an important part of the economy. Therefore the study was conducted to investigate the impact of Micro Finance in Zambia, the case of residents of Chipata district. The study was guided by the following research objectives: to determine the level of awareness on micro finance products, to assess the level of development of MFIs within Chipata, to assess the impacts of microfinance on Chipata District residents, women in particular and to assess challenges Chipata residents face in accessing credit. The study came up with the several results, among the few are that MFIs have a positive effect on the people of Zambia as MFIs increase the household income levels. It has been noted that, access to credit which is a major challenge in the SME sector has been reduced to a large extent through the operations of MFIs. It was also concluded that MFIs have contributed largely in the area of mobilizing savings through their saving schemes that make saving more accessible, less costly and ready to receive little amounts. The practice helps to improve capitalization as most of these saving are ploughed back in their businesses.


2021 ◽  
Vol 13 (18) ◽  
pp. 10245
Author(s):  
Shuaitao Jiao ◽  
Qiubi Sun

At present, there is a consensus that the digital economy provides a new impetus for sustainable economic development. Based on domestic and foreign literature reviews, this paper focuses on representative industry sectors; we present China’s 2011–2018 digital economy development index, for 173 cities, from a three-level perspective—internet development, digital literacy, and industrial efficiency improvement. Various models, such as the instrumental variable method, the double difference method, the intermediary effect model, and the spatial econometric model were used to quantitatively analyze the impact of digital economic development on urban economic growth in China. The study finds that: (1) digital economic development in China has a positive effect on urban economic growth, and a heterogeneity of effects exists between different cities. (2) Urban employment is the “effect mechanism” of digital economic growth on urban economic growth. (3) The direct effect of digital economic development on urban economic growth in China is positive, the spillover effect is positive, the direct effect is greater than the spillover effect, and the total effect is positive. The research results enrich the measurement methods used in urban digital economic development in China, providing new perspectives for studying the influence mechanisms of digital economic development on urban economic growth.


Author(s):  
Laura Catalina Timiras

The purpose of this paper is to identify how the marketing research market evolved after 2000 as a whole and by categories of the EU countries (the old and the new states respectively) as well as the impact of the general economic development on this evolution of the market. Since 2000 the marketing research market registered a spectacular evolution in the new EU members, which certifies that it is in the growth stage. In the old member states the marketing research market reached maturity, the dynamics being slyghtly positive or even stationary. Regardless of the marketing research market trends registered in the old or in the new EU members, the development levels attained in the two categories of states are different. Thus, approximately 90% of the marketing research market of the EU belongs to the old states and only about 10% to the new members. Similarly to the markets of other products, the market studied here was also affected by the economic crisis, so all the EU countries registered involutions (followed by recoveries) along with the onset of recession. In the countries analyzed, the relationship between the size of the marketing research market and the general economic development expressed by the GDP was a strong and direct one (both in the EU as a whole and by categories of EU countries), higher values of GDP being associated with larger (in terms of value) marketing research markets.


2015 ◽  
Vol 06 (01) ◽  
pp. 1550002 ◽  
Author(s):  
Augusto López Claros

This paper examines causes and consequences of corruption within the process of economic development. Drawing on experiences and insights accumulated during the post-war period and reflected in a growing body of academic research, the paper analyzes institutional mechanisms that sustain corruption and the impact of corruption on development. It argues that many forms of corruption stem from the distributional attributes of the state in its role as the economy's central agent of resource allocation. It also addresses the question of what can be done about corruption and discusses the role of economic policies in developing incentives and institutions to reduce its incidence.


2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Aine Lima ◽  
Sandro Cabral

Microcredit has a fundamental role as a tool for financial inclusion. It is estimated that there are almost 50 million microentrepreneurs in Brazil, of which two-thirds are women. This work aims to analyze the impact of microcredit for women microentrepreneurs in comparison with men, based on data collected in northeastern Brazil in partnership Avante, a fintech specialized in microcredit. Data were collected from microentrepreneurs who had access to credit (treatment group) and those who did not have their credit granted (control group) so that they could be compared. The analysis was divided into two parts. In Part I, a descriptive statistical analysis of the collected data was performed. In Part II, some simplified causal inference techniques were applied to validate whether the impact of microcredit existed for women microentrepreneurs. The results give strong indications that women, despite having a lower income, grow more than men after access to microcredit. The annualized growth in income of women was 19.87%, while that of men was 14.66%.


Author(s):  
Su Li ◽  
Feng Tan Da ◽  
Wei Wei Cui ◽  
Jun Zhao

Green credit policy as an important tool to guide China's sustainable economic development, how to effectively play the function of capital deployment and improve the efficiency of industrial green innovation is an important issue facing the construction of ecological civilization. This paper uses China's Green Credit Guideline introduced in 2012 as a quasi-natural experiment , based on relevant panel data of industries from 2007 to 2018, uses the Super-SBM model including non-expected output to measure the green innovation efficiency of 35 industries in China, and constructs the PSM-DID model to explore how green credit policy impact on the green innovation efficiency of heavily polluted industries, the results show that : green credit policy significantly contributes to green innovation efficiency of heavily polluted industries with a lag. Further study finds that green credit policy pushes heavily polluted industries to improve green innovation efficiency by increasing financing cost and R&D investment; meanwhile, the heterogeneity test shows that the higher the state-owned share of industry, the greater the promoted effect of green credit policy on green innovation efficiency of heavily polluted industries. Finally, in order to accelerate the implementation of green credit policy and promote the green innovation efficiency of heavily polluted industries, relevant countermeasures are proposed from three aspects: banks, enterprises and government.


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